private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, int nCallsForTour, int[] purpose, int[][] altParticipants, int choice = Constants.DEFAULT_VALUE)
{
IEnumerable<PersonDayWrapper> orderedPersonDays = householdDay.PersonDays.OrderBy(p => p.GetJointTourParticipationPriority()).ToList().Cast<PersonDayWrapper>();
// set household characteristics here that don't depend on person characteristics
int carOwnership =
householdDay.Household.VehiclesAvailable == 0
? Global.Settings.CarOwnerships.NoCars
: householdDay.Household.VehiclesAvailable < householdDay.Household.HouseholdTotals.DrivingAgeMembers
? Global.Settings.CarOwnerships.LtOneCarPerAdult
: Global.Settings.CarOwnerships.OneOrMoreCarsPerAdult;
int hhsize = householdDay.Household.Size;
int noCarsFlag = FlagUtility.GetNoCarsFlag(carOwnership);
int carCompetitionFlag = FlagUtility.GetCarCompetitionFlag(carOwnership);
int tourPurpose = purpose[nCallsForTour];
int escortPurpose = purpose[nCallsForTour] == Global.Settings.Purposes.Escort ? 1 : 0;
int shopPurpose = purpose[nCallsForTour] == Global.Settings.Purposes.Shopping ? 1 : 0;
int socialPurpose = (purpose[nCallsForTour] == Global.Settings.Purposes.Social ? 1 : 0);
int recreationPurpose = (purpose[nCallsForTour] == Global.Settings.Purposes.Recreation) ? 1 : 0;
int personalBusinessMedicalPurpose = (purpose[nCallsForTour] == Global.Settings.Purposes.PersonalBusiness
|| purpose[nCallsForTour] == Global.Settings.Purposes.Medical) ? 1 : 0;
int meal = (purpose[nCallsForTour] == Global.Settings.Purposes.Meal) ? 1 : 0;
int socialRecreationPurpose = (purpose[nCallsForTour] == Global.Settings.Purposes.Social ||
purpose[nCallsForTour] == Global.Settings.Purposes.Recreation) ? 1 : 0;
//nt recreationPurpose = (purpose[nCallsForTour] == Global.Settings.Purposes.Recreation) ? 1 : 0;
int votALSegment = householdDay.Household.GetVotALSegment();
int transitAccessSegment = householdDay.Household.ResidenceParcel.TransitAccessSegment();
double totalAggregateLogsum = Global.AggregateLogsums[householdDay.Household.ResidenceParcel.ZoneId]
[Global.Settings.Purposes.HomeBasedComposite][carOwnership][votALSegment][transitAccessSegment];
PersonDayWrapper pPersonDay = null;
bool[] pLessThan3NonMandatoryTours = new bool[6];
bool[] pLessThan3TourPurposes = new bool[6];
int[] pUsualLocationParcelId = new int[6];
int[] pUsualLocationZoneId = new int[6];
IParcelWrapper[] pUsualLocationParcel = new IParcelWrapper[6];
int[] pPatternType = new int[6];
int[] pConstant = new int[6];
int[,] pType = new int[9, 6];
int[] pAdult = new int[6];
int[] pChild = new int[6];
int[] pAge = new int[6];
//int[] pAdultMale = new int[6];
int[] pAdultFemale = new int[6];
int[] pAdultMandatory = new int[6];
int[] pNonMandatory = new int[6];
int[] pMandatory = new int[6];
int[] pAdultNonMandatory = new int[6];
int[] pAdultWithChildrenUnder16 = new int[6];
int[] pAge5To8 = new int[6];
int[] pAge9To12 = new int[6];
int[] pAge13To15 = new int[6];
int[] pAgeUnder13 = new int[6];
int[] pTransit = new int[6];
//int[] pJointNonMandatoryTours = new int[6];
int[] pJointEscortTours = new int[6];
int[] pMandatoryTours = new int[6];
int[] pJointSocialRecreationTours = new int[6];
//int[] pJointPersMedtours = new int[6];
int[] pNonMandatoryChild = new int[6];
int[] pMandatoryChild = new int[6];
//int[] pJointShopTours = new int[6];
int[] pJointMealTours = new int[6];
int count = 0;
foreach (PersonDayWrapper personDay in orderedPersonDays) {
count++;
if (count <= 5) {
if (count == 1) {
pPersonDay = personDay;
}
for (int i = 1; i < 9; i++) {
pType[personDay.Person.PersonType, count] = 1;
}
if (personDay.Person.IsFullOrPartTimeWorker && personDay.Person.UsualWorkParcel != null) {
pUsualLocationParcelId[count] = personDay.Person.UsualWorkParcelId;
pUsualLocationParcel[count] = personDay.Person.UsualWorkParcel;
pUsualLocationZoneId[count] = personDay.Person.UsualWorkParcel.ZoneId;
} else if (personDay.Person.IsStudent && personDay.Person.UsualSchoolParcel != null) {
pUsualLocationParcelId[count] = personDay.Person.UsualSchoolParcelId;
pUsualLocationParcel[count] = personDay.Person.UsualSchoolParcel;
pUsualLocationZoneId[count] = personDay.Person.UsualSchoolParcel.ZoneId;
} else if (personDay.Person.IsWorker && personDay.Person.IsNotFullOrPartTimeWorker && personDay.Person.UsualWorkParcel != null) {
pUsualLocationParcelId[count] = personDay.Person.UsualWorkParcelId;
pUsualLocationParcel[count] = personDay.Person.UsualWorkParcel;
pUsualLocationZoneId[count] = personDay.Person.UsualWorkParcel.ZoneId;
} else {
pUsualLocationParcelId[count] = personDay.Household.ResidenceParcelId;
pUsualLocationParcel[count] = personDay.Household.ResidenceParcel;
pUsualLocationZoneId[count] = personDay.Household.ResidenceZoneId;
}
pLessThan3NonMandatoryTours[count] = personDay.GetCreatedNonMandatoryTours() < 3;
pLessThan3TourPurposes[count] = personDay.GetTotalCreatedTourPurposes() < 3;
pPatternType[count] = personDay.PatternType;
pConstant[count] = 1;
pAdult[count] = personDay.Person.IsAdult.ToFlag();
pChild[count] = (!(personDay.Person.IsAdult)).ToFlag();
pAdultWithChildrenUnder16[count] = (personDay.Person.IsAdult && personDay.Household.HasChildrenUnder16).ToFlag();
pAdultFemale[count] = personDay.Person.IsAdultFemale.ToFlag();
//pAdultMale[count] = personDay.Person.IsAdultMale.ToFlag();
pAdultMandatory[count] = personDay.Person.IsAdult.ToFlag() * (personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pNonMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pAdultNonMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag() * personDay.Person.IsAdult.ToFlag();
pAgeUnder13[count] = (personDay.Person.Age < 13).ToFlag();
pAge5To8[count] = (personDay.Person.Age >= 5 && personDay.Person.Age <= 8).ToFlag();
//pAge9To12[count] = (personDay.Person.Age >= 9 && personDay.Person.Age <= 12).ToFlag();
pAge13To15[count] = (personDay.Person.Age >= 13 && personDay.Person.Age <= 15).ToFlag();
pTransit[count] = (personDay.Person.TransitPassOwnership == 1 ? 1 : 0);
pMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pMandatoryTours[count] = personDay.WorkTours + personDay.SchoolTours;
pJointEscortTours[count] = personDay.CreatedEscortTours;
pJointMealTours[count] = personDay.CreatedMealTours;
//pJointShopTours[count]= personDay.CreatedShoppingTours;
pJointSocialRecreationTours[count] = personDay.CreatedSocialTours + personDay.CreatedRecreationTours;
pNonMandatoryChild[count] = (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag() * personDay.Person.IsChildUnder16.ToFlag();
pMandatoryChild[count] = (personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag() * personDay.Person.IsChildUnder16.ToFlag();
}
}
int componentIndex = 0;
//Create person utility components
int[] componentPerson = new int[6];
for (int p = 1; p <= 5; p++) {
// create component for basic person-purposes
componentIndex++;
componentPerson[p] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentPerson[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(01, pAge5To8[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(02, pAdultFemale[p]);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(03, pAge9To12[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(05, (pMandatoryTours[p] > 1).ToFlag());
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(06, (pJointNonMandatoryTours[p]>1).ToFlag());
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(07, pAdultMandatory[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(08, pTransit[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(21, pAdult[p] * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(26, pType[6, p] * pNonMandatory[p] * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(28, pType[8, p] * pNonMandatory[p] * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(29, pType[6, p] * pMandatory[p] * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(30, pType[7, p] * pMandatory[p] * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(31, pType[8, p] * pMandatory[p] * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(32, (pJointEscortTours[p] == 1).ToFlag() * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(33, (pJointEscortTours[p] >= 2).ToFlag() * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(41, pAdult[p] * personalBusinessMedicalPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(44, pNonMandatoryChild[p] * personalBusinessMedicalPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(45, pMandatoryChild[p] * personalBusinessMedicalPurpose);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(51, pAdultMandatory[p]* shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(52, pAdultNonMandatory[p] * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(54, pNonMandatoryChild[p] * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(56, pType[6, p] * pMandatory[p] * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(57, pType[7, p] * pMandatory[p] * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(58, pType[8, p] * pMandatory[p] * shopPurpose);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(59, (pJointShopTours[p]>1).ToFlag() * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(71, pAdult[p] * meal);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(77, (pJointMealTours[p] > 0).ToFlag() * meal);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(92, pAdult[p] * socialRecreationPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(96, pType[6, p] * pMandatory[p] * socialRecreationPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(97, pType[7, p] * pMandatory[p] * socialRecreationPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(98, pType[8, p] * pMandatory[p] * socialRecreationPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(99, (pJointSocialRecreationTours[p] >= 1).ToFlag() * socialRecreationPurpose);
}
//create two-way match interaction utility components
int[,] componentMatch = new int[6, 6];
int[,] iMatchAdult = new int[6, 6];
int[,] iMatchAdultWithChildrenUnder16 = new int[6, 6];
int[,] iMatchMandatoryAdults = new int[6, 6];
int[,] iMatchNonMandatoryAdults = new int[6, 6];
int[,] iMatchChild = new int[6, 6];
int[,] iMatchNonMandatoryKids = new int[6, 6];
int[,] iMatchMandatoryKids = new int[6, 6];
int[,] iMatchNonMandatory = new int[6, 6];
int[,] iMatchUsualLocation = new int[6, 6];
for (int t2 = 1; t2 <= 5; t2++) {
for (int t1 = 1; t1 < t2; t1++) {
//populate match variables
iMatchAdultWithChildrenUnder16[t1, t2] = pAdultWithChildrenUnder16[t1] * pAdultWithChildrenUnder16[t2];
iMatchNonMandatoryAdults[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2];
iMatchMandatoryAdults[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2];
iMatchNonMandatory[t1, t2] = pNonMandatory[t1] * pNonMandatory[t2];
iMatchUsualLocation[t1, t2] = (pUsualLocationParcelId[t1] == pUsualLocationParcelId[t2]) ? 1 : 0;
iMatchChild[t1, t2] = (1 - pAdult[t1]) * (1 - pAdult[t2]);
iMatchNonMandatoryKids[t1, t2] = pNonMandatory[t1] * pAgeUnder13[t1] * pNonMandatory[t2] * pAgeUnder13[t2];
iMatchMandatoryKids[t1, t2] = pMandatory[t1] * pAgeUnder13[t1] * pMandatory[t2] * pAgeUnder13[t2];
//create and populate components
componentIndex++;
componentMatch[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentMatch[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(109, iMatchNonMandatoryKids[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(110, iMatchMandatoryKids[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(111, iMatchMandatoryAdults[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(113, iMatchAdultNonMandatorys[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(114, iMatchAdultWithChildrenUnder16[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(116, iMatchNonMandatory[t1, t2] * socialRecreationPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(124, iMatchChild[t1, t2] * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(125, iMatchUsualLocation[t1, t2]);
}
}
//create two-way cross interaction utility components
int[,] componentCross = new int[6, 6];
int iCrossAgeUnder5AndNonMandatory;
int iCrossAge5To12AndNonMandatory;
int iCrossAge13To15AndNonMandatory;
int iCrossDrivingAgeChildAndNonMandatory;
int iCrossMandatoryAdAndChild;
for (int t2 = 1; t2 <= 5; t2++) {
for (int t1 = 1; t1 <= 5; t1++) {
if (!(t1 == t2)) {
//populate cross variables
iCrossAge5To12AndNonMandatory = pAdultNonMandatory[t1] * (pAge5To8[t2] + pAge9To12[t2]);
iCrossAgeUnder5AndNonMandatory = pAdultNonMandatory[t1] * pType[8, t2];
iCrossAge13To15AndNonMandatory = pNonMandatory[t1] * pAge13To15[t2];
iCrossDrivingAgeChildAndNonMandatory = pNonMandatory[t1] * pType[6, t2];
iCrossMandatoryAdAndChild = pAdultMandatory[t1] * pChild[t2];
//create and populate cross components
componentIndex++;
componentCross[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentCross[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(133, iCrossAge13To15AndNonMandatory);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(135, iCrossAgeUnder5AndNonMandatory * escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(136, iCrossAgeUnder5AndNonMandatory * personalBusinessMedicalPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(137, iCrossAgeUnder5AndNonMandatory * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(138, iCrossAgeUnder5AndNonMandatory * meal);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(139, iCrossAgeUnder5AndNonMandatory * socialRecreationPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(144, iCrossAge5To12AndNonMandatory * socialRecreationPurpose);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(145, iCrossMandatoryAdAndChild*escortPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(146, iCrossMandatoryAdAndChild * personalBusinessMedicalPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(147, iCrossMandatoryAdAndChild * shopPurpose);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(148, iCrossMandatoryAdAndChild * meal);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(149, iCrossMandatoryAdAndChild * socialRecreationPurpose);
}
}
}
//Generate utility funtions for the alternatives
bool[] available = new bool[32];
bool[] chosen = new bool[32];
for (int alt = 0; alt < 32; alt++) {
available[alt] = false;
chosen[alt] = false;
// set availability based on household size
if (hhsize >= altParticipants[alt][6]) {
available[alt] = true;
}
// restrict availability of alts that include less than 2 participants
if (altParticipants[alt][7] < 2) {
available[alt] = false;
}
// restrict availability if any participant has at-home patternType
int numberAtHomePatternTypes = 0;
for (int i = 1; i <= 5; i++) {
if (altParticipants[alt][i] == 1 && pPatternType[i] == Global.Settings.PatternTypes.Home) {
numberAtHomePatternTypes++;
}
}
if (numberAtHomePatternTypes > 0) {
available[alt] = false;
}
// restrict availability if any participant has 3 or more nonmandatory tours already
for (int i = 1; i <= 5; i++) {
if (altParticipants[alt][i] == 1 && !pLessThan3NonMandatoryTours[i]) {
available[alt] = false;
}
}
// restrict availability if any participant has 3 or more tour purposes already
for (int i = 1; i <= 5; i++) {
if (altParticipants[alt][i] == 1 && !pLessThan3TourPurposes[i]) {
available[alt] = false;
}
}
int numberOfParticipants = 0;
int workersParticipating = 0;
int numberOfParticipatingChildren = 0;
int numberOfParticipatingAdults = 0;
int numberOfAvailableChildren = 0;
int numberOfAvailablePersons = 0;
int numberOfAvailableAdults = 0;
if (available[alt] == true) {
for (int i = 1; i <= 5; i++) {
if (pChild[i] == 1) {
numberOfAvailableChildren++;
numberOfAvailablePersons++;
}
if (pAdult[i] == 1) {
numberOfAvailableChildren++;
numberOfAvailableAdults++;
}
if (altParticipants[alt][i] == 1) {
numberOfParticipants++;
if (pType[0, i] == 1 || pType[1, i] == 1) {
workersParticipating++;
}
if (pAdult[i] == 1) { numberOfParticipatingAdults++; }
if (pChild[i] == 1) { numberOfParticipatingChildren++; }
}
}
}
// determine choice
if (choice == alt) { chosen[alt] = true; }
//Get the alternative
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alt, available[alt], chosen[alt]);
alternative.Choice = alt;
//Add alt-specific utility terms
alternative.AddUtilityTerm(160, (numberOfParticipatingAdults > 1 && numberOfParticipatingChildren > 0) ? 1 : 0);
//alternative.AddUtilityTerm(161, (numberOfParticipatingChildren < numberOfAvailableChildren) ? 1 : 0);
//alternative.AddUtilityTerm(162, (numberOfParticipatingAdults >1).ToFlag() *socialRecreationPurpose);
//alternative.AddUtilityTerm(163, (numberOfParticipatingAdults == 1).ToFlag() *personalBusinessMedicalPurpose);
for (int p = 1; p <= 5; p++) {
if (altParticipants[alt][p] == 1) {
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]));
}
}
for (int t2 = 1; t2 <= 5; t2++) {
for (int t1 = 1; t1 < t2; t1++) {
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1) {
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]));
}
}
}
for (int t2 = 1; t2 <= 5; t2++) {
for (int t1 = 1; t1 <= 5; t1++) {
if (!(t1 == t2)) {
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1) {
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]));
}
}
}
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, int jHTSimulated, int genChoice, bool[,] jHTAvailable, bool[] fHTAvailable, int[][] altParticipants, int choice = Constants.DEFAULT_VALUE)
{
IEnumerable <PersonDayWrapper> orderedPersonDays = householdDay.PersonDays.OrderBy(p => p.GetJointHalfTourParticipationPriority()).ToList().Cast <PersonDayWrapper>();
PersonDayWrapper pPersonDay = null;
// set household characteristics here that don't depend on person characteristics
int hhsize = householdDay.Household.Size;
int hhinc1 = householdDay.Household.Income <= 300000 ? 1 : 0;
int hhinc2 = (householdDay.Household.Income > 300000 && householdDay.Household.Income <= 600000) ? 1 : 0;
int hhinc3 = (householdDay.Household.Income > 600000 && householdDay.Household.Income <= 900000) ? 1 : 0;
//int hhinc4 = (householdDay.Household.Income > 900000 && householdDay.Household.Income <= 1200000) ? 1 : 0;
int hhinc4 = (householdDay.Household.Income > 900000) ? 1 : 0;
IParcelWrapper[] pUsualLocation = new IParcelWrapper[6];
int[] pPatternType = new int[6];
int[] pConstant = new int[6];
int[] pType9 = new int[6];
int[] pType8 = new int[6];
int[] pType7 = new int[6];
int[] pType6 = new int[6];
int[] pType5 = new int[6];
int[] pType4 = new int[6];
int[] pType3 = new int[6];
int[] pType2 = new int[6];
int[] pType1 = new int[6];
int[] pAdult = new int[6];
int[] pAdultWithChildrenUnder16 = new int[6];
int[] pAdultFemale = new int[6];
int[] pAdultNonMandatory = new int[6];
int[] pType7AgeUnder12 = new int[6];
int[] pType7Age12Plus = new int[6];
int[] pAgeUnder12 = new int[6];
int[] pType8Mandatory = new int[6];
int[] pType8NonMandatory = new int[6];
int[] pType7Mandatory = new int[6];
int[] pType7NonMandatory = new int[6];
int[] pAgeUnder16 = new int[6];
int[] pYouthMandatory = new int[6];
int[] pYouthNonMandatory = new int[6];
int[] pYouth = new int[6];
int[] pAdultMandatory = new int[6];
int[] pMandatory = new int[6];
int[] pNonMandatory = new int[6];
bool[] pHasMandatoryTourToUsualLocation = new bool[6];
bool[] pIsDrivingAge = new bool[6];
int count = 0;
foreach (PersonDayWrapper personDay in orderedPersonDays)
{
count++;
if (count <= 5)
{
if (count == 1)
{
pPersonDay = personDay;
}
// set characteristics here that depend on person characteristics
if (personDay.Person.IsFullOrPartTimeWorker)
{
pUsualLocation[count] = personDay.Person.UsualWorkParcel;
}
else if (personDay.Person.IsStudent)
{
pUsualLocation[count] = personDay.Person.UsualSchoolParcel;
}
else if (personDay.Person.IsWorker && personDay.Person.IsNotFullOrPartTimeWorker)
{
pUsualLocation[count] = personDay.Person.UsualWorkParcel;
}
else
{
pUsualLocation[count] = personDay.Household.ResidenceParcel;
}
pPatternType[count] = personDay.PatternType;
pConstant[count] = 1;
pType9[count] = personDay.Person.IsChildUnder16.ToFlag(); // not one og Type 1 to 8
pType8[count] = personDay.Person.IsChildUnder5.ToFlag(); // All ACTUM TU persons are one of Type 1 to 8
pType7[count] = personDay.Person.IsChildAge5Through15.ToFlag();
pType6[count] = personDay.Person.IsDrivingAgeStudent.ToFlag();
pType5[count] = personDay.Person.IsUniversityStudent.ToFlag();
pType4[count] = personDay.Person.IsNonworkingAdult.ToFlag();
pType3[count] = personDay.Person.IsRetiredAdult.ToFlag();
pType2[count] = personDay.Person.IsPartTimeWorker.ToFlag();
pType1[count] = personDay.Person.IsFulltimeWorker.ToFlag();
pAdult[count] = personDay.Person.IsAdult.ToFlag();
pAdultWithChildrenUnder16[count] = (personDay.Person.IsAdult && personDay.Household.HasChildrenUnder16).ToFlag(); // THIS person is adult and HH has child. under 16
pAdultFemale[count] = personDay.Person.IsAdultFemale.ToFlag();
pAdultNonMandatory[count] = (personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pType7AgeUnder12[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age < 12).ToFlag(); // THIS person is both 5-15 AND below 12
pType7Age12Plus[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age >= 12).ToFlag();
pAgeUnder12[count] = (personDay.Person.Age < 12).ToFlag();
pAgeUnder16[count] = (personDay.Person.Age < 16).ToFlag();
pType8Mandatory[count] = (personDay.Person.IsChildUnder5 && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pType8NonMandatory[count] = (personDay.Person.IsChildUnder5 && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pType7Mandatory[count] = (personDay.Person.IsChildAge5Through15 && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pType7NonMandatory[count] = (personDay.Person.IsChildAge5Through15 && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pYouthMandatory[count] = (!personDay.Person.IsChildUnder5 && !personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pYouthNonMandatory[count] = (!personDay.Person.IsChildUnder5 && !personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pYouth[count] = (!personDay.Person.IsChildUnder5 && !personDay.Person.IsAdult).ToFlag();
pAdultMandatory[count] = (personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pNonMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pHasMandatoryTourToUsualLocation[count] = personDay.HasMandatoryTourToUsualLocation;
pIsDrivingAge[count] = personDay.Person.IsDrivingAge;
}
}
int componentIndex = 0;
//Create person utility components
int[] componentPerson = new int[6];
for (int p = 1; p <= 5; p++)
{
// create component for basic person-purposes
componentIndex++;
componentPerson[p] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentPerson[p]);
// these are dummies compared to base one, i.e. Type 5+6 in one.
// OBS! - We apply "Adult Mandatory" as the base
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(1, pAdultMandatory[p]); // impact of adult with mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(2, pAdultNonMandatory[p]); // impact of adult with non-mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(3, pType8Mandatory[p]); // impact of child under 5 with mandatory travel
//GV: not significant, 14. june 2016
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(4, pType8NonMandatory[p]); // impact of child under 5 with non-mandatory travel
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(04, pYouthMandatory[p]); // impact of youth with mandatory travel
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(05, pYouthNonMandatory[p]); // impact of youth with non-mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(5, pType7Mandatory[p]); // impact of Child5-16 with mandatory travel
//GV: not significant, 14. june 2016
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(6, pType7NonMandatory[p]); // impact of Child5-16 with non-mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(7, pAdultFemale[p]); //female
}
//create two-way match interaction utility components
int[,] componentMatch = new int[6, 6];
int[,] iMatchAgeUnder12 = new int[6, 6];
int[,] iMatchAgeUnder16 = new int[6, 6];
int[,] iMatchAgeUnder5 = new int[6, 6];
int[,] iMatchAge5to16 = new int[6, 6];
int[,] iMatchAdult = new int[6, 6];
int[,] iMatchAdultWithChildrenUnder16 = new int[6, 6];
int[,] iMatchAdultWithChildrenUnder5 = new int[6, 6];
int[,] iMatchAdultMandatory = new int[6, 6];
int[,] iMatchAdultNonMandatory = new int[6, 6];
int[,] iMatchMandatory = new int[6, 6];
int[,] iMatchNonMandatory = new int[6, 6];
int[,] iMatchAdultMandatoryAndAdultMandatory = new int[6, 6];
int[,] iMatchAdultNonMandatoryAndAdultNonMandatory = new int[6, 6];
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
// iMatch joints only persons of the same type
// lets the base alt, be adult*adult
iMatchAgeUnder12[t1, t2] = pAgeUnder12[t1] * pAgeUnder12[t2]; // children under 12
iMatchAgeUnder16[t1, t2] = pAgeUnder16[t1] * pAgeUnder16[t2]; // children under 16
iMatchAgeUnder5[t1, t2] = pType8[t1] * pType8[t2]; // children under 5
iMatchAge5to16[t1, t2] = pType7[t1] * pType7[t2]; // children 5 to 16
iMatchAdult[t1, t2] = pAdult[t1] * pAdult[t2]; // two adults (very important but difficult to understand)
iMatchAdultMandatory[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2]; // two adults with mandatory travel
iMatchAdultNonMandatory[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2]; // two adults with non-mandatory travel
iMatchMandatory[t1, t2] = pMandatory[t1] * pMandatory[t2]; //those with mandatory
iMatchNonMandatory[t1, t2] = pNonMandatory[t1] * pNonMandatory[t2]; //those tith non-mandatory
//iMatchAdultWithChildrenUnder16[t1, t2] = pAdultWithChildrenUnder16[t1] * pAdultWithChildrenUnder16[t2];
iMatchAdultWithChildrenUnder16[t1, t2] = pAdult[t1] * pType7[t2]; //adult plus child 5-16
iMatchAdultWithChildrenUnder5[t1, t2] = pAdult[t1] * pType8[t2]; //adult plus child5
iMatchAdultMandatoryAndAdultMandatory[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2]; //2 adults with Mandatory
iMatchAdultNonMandatoryAndAdultNonMandatory[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2]; //2 adults with Mandatory
//create and populate components
// OBS! - We apply "Adult * Adult" as the base
componentIndex++;
componentMatch[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentMatch[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(21, iMatchAgeUnder5[t1, t2]);
//GV: 14. jine 2016, not sign.
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(22, iMatchAge5to16[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(23, iMatchAdultMandatoryAndAdultMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(24, iMatchAdultNonMandatoryAndAdultNonMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(23, iMatchAdult[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(24, iMatchAdultMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(25, iMatchAdultNonMandatory[t1, t2]);
// commented out 22nd, but they work well
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(26, iMatchMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(27, iMatchNonMandatory[t1, t2]);
}
}
//create two-way cross interaction utility components
int[,] componentCross = new int[6, 6];
int[,] iCrossAgeUnderTwelveAndAdult = new int[6, 6];
int[,] iCrossAgeUnderTwelveAndAdultNonMandatory = new int[6, 6];
int[,] iCrossAdultWithChildUnder5 = new int[6, 6];
int[,] iCrossAdultWithChild5to16 = new int[6, 6];
int[,] iCrossAdultFemaleWithChildUnder5 = new int[6, 6];
int[,] iCrossAdultFemaleWithChild5to16 = new int[6, 6];
int[,] iCrossAdultMandatoryAndAdultNonMandatory = new int[6, 6];
int[,] iCrossAdultMandatoryAndAdultMandatory = new int[6, 6];
int[,] iCrossAdultNonMandatoryAndAdultNonMandatory = new int[6, 6];
int[,] iCrossYouthAndChildUnder5 = new int[6, 6];
int[,] iCrossChild5to16AndChildUnder5 = new int[6, 6];
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
//populate cross variables
// again, one is base, all others are dummies
iCrossAdultWithChildUnder5[t1, t2] = pAdult[t1] * pType8[t2]; //adult plus child5
iCrossAdultWithChild5to16[t1, t2] = pAdult[t1] * pType7[t2]; //adult plus child 5-16
iCrossAdultFemaleWithChildUnder5[t1, t2] = pAdultFemale[t1] * pType8[t2]; //adult mom plus child5
iCrossAdultFemaleWithChild5to16[t1, t2] = pAdult[t1] * pType7[t2]; //adult mom plus child 5-16
iCrossAgeUnderTwelveAndAdult[t1, t2] = pAgeUnder12[t1] * pAdult[t2];
iCrossAgeUnderTwelveAndAdultNonMandatory[t1, t2] = pAgeUnder12[t1] * pAdultNonMandatory[t2];
iCrossAdultMandatoryAndAdultNonMandatory[t1, t2] = pAdultMandatory[t1] * pAdultNonMandatory[t2];
iCrossAdultMandatoryAndAdultMandatory[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2];
iCrossAdultNonMandatoryAndAdultNonMandatory[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2];
iCrossYouthAndChildUnder5[t1, t2] = pYouth[t1] * pType8[t2];
iCrossChild5to16AndChildUnder5[t1, t2] = pType7[t1] * pType8[t2];
//create and populate cross components
// OBS! - We apply "Adult Mandatory * Adult Non-mandatory" as the base
componentIndex++;
componentCross[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentCross[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(41, iCrossAdultWithChildUnder5[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(42, iCrossAdultWithChild5to16[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(43, iCrossAdultMandatoryAndAdultNonMandatory[t1, t2]);
//GV: 14. june 2016, not sign.
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(46, iCrossAdultFemaleWithChildUnder5[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(47, iCrossYouthAndChildUnder5[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(47, iCrossChild5to16AndChildUnder5[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(45, iCrossAdultFemaleWithChild5to16[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(41, iCrossAgeUnderTwelveAndAdult[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(42, iCrossAgeUnderTwelveAndAdultNonMandatory[t1, t2]);
}
}
}
//Generate utility funtions for the alternatives
bool[] available = new bool[32];
bool[] chosen = new bool[32];
bool[] threeParticipants = new bool[32];
bool[] fourPlusParticipants = new bool[32];
for (int alt = 0; alt < 32; alt++)
{
available[alt] = false;
chosen[alt] = false;
// set availability based on household size
if (hhsize >= altParticipants[alt][6])
{
available[alt] = true;
}
// restrict availability based on person unavailability
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && (jHTAvailable[genChoice - 1, i] == false || fHTAvailable[i] == false))
{
available[alt] = false;
}
}
// restrict availability to cases where all non-adult participants have same usual location
// first determine first non-adult's usual location
IParcelWrapper sameUsualLocation = householdDay.Household.ResidenceParcel;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && pPatternType[i] == 1 && pUsualLocation[i] != null && pUsualLocation[i].Id > 0 && !(pAdult[i] == 1))
{
sameUsualLocation = pUsualLocation[i];
break;
}
}
// then make alt unavailable if any M-Usual participant has a different usualLocation
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && pHasMandatoryTourToUsualLocation[i] && !(pUsualLocation[i] == sameUsualLocation) && !(pAdult[i] == 1))
{
available[alt] = false;
break;
}
}
// restrict availability of alts that include less than 2 participants
if (altParticipants[alt][7] < 2)
{
available[alt] = false;
}
// restrict availability if 2+ participants lack tour to usual location
int numberLackMandatoryTourToUsualLocation = 0;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && !pHasMandatoryTourToUsualLocation[i])
{
numberLackMandatoryTourToUsualLocation++;
}
}
if (numberLackMandatoryTourToUsualLocation > 1)
{
available[alt] = false;
}
// require at least one driving age (as chauffeur) //GV:out july 2013
//int numberDrivingAge = 0;
//for (int i = 1; i <= 5; i++) {
// if (altParticipants[alt][i] == 1 && pIsDrivingAge[i]) {
// numberDrivingAge++;
// }
//}
//if (numberDrivingAge == 0) {
// available[alt] = false;
//}
double tourLogsum;
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.WorkTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.WorkTourModeModel);
//var nestedAlternative = ActumWorkTourModeModel.RunNested(pPersonDay, pPersonDay.Household.ResidenceParcel, sameUsualLocation, destinationArrivalTime, destinationDepartureTime, pPersonDay.Household.VehiclesAvailable);
//var nestedAlternative = (Global.ChoiceModelDictionary.Get("ActumWorkTourModeModel") as ActumWorkTourModeModel).RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
//JLB 201406
//var nestedAlternative = Global.ChoiceModelSession.Get<WorkTourModeModel>().RunNested(pPersonDay, pPersonDay.Household.ResidenceParcel, sameUsualLocation, destinationArrivalTime, destinationDepartureTime, pPersonDay.Household.VehiclesAvailable);
//JLB 201602
//var nestedAlternative = Global.ChoiceModelSession.Get<WorkTourModeTimeModel>().RunNested(pPersonDay, pPersonDay.Household.ResidenceParcel, sameUsualLocation, destinationArrivalTime, destinationDepartureTime, pPersonDay.Household.VehiclesAvailable);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <TourModeTimeModel>().RunNested(pPersonDay, pPersonDay.Household.ResidenceParcel, sameUsualLocation, destinationArrivalTime, destinationDepartureTime, pPersonDay.Household.VehiclesAvailable, Global.Settings.Purposes.Work);
tourLogsum = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
// determine choice
if (choice == alt)
{
chosen[alt] = true;
}
//Get the alternative
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alt, available[alt], chosen[alt]);
alternative.Choice = alt;
//Add utility terms that are not in components
//alternative.AddUtilityTerm(399, 0);
// OBS!!! This is new - 21nd January 2013 - it sais that these tris are less expected to be done with 3 or 4+ persons (compared to to people)
alternative.AddUtilityTerm(59, altParticipants[alt][7] >= 3 ? 1 : 0);
//alternative.AddUtilityTerm(60, altParticipants[alt][7] >= 4 ? 1 : 0); // OBS! no observations with 4+ HHsize
alternative.AddUtilityTerm(58, tourLogsum);
//Add utility components
for (int p = 1; p <= 5; p++)
{
if (altParticipants[alt][p] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]));
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]));
}
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]));
}
}
}
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, IHouseholdDayWrapper householdDay, ITourWrapper tour,
IParcelWrapper destinationParcel, int householdCars,
int constrainedMode, int constrainedArrivalTime, int constrainedDepartureTime, HTourModeTime choice = null)
{
IHouseholdWrapper household = tour.Household;
IPersonWrapper person = tour.Person;
IPersonDayWrapper personDay = tour.PersonDay;
Framework.DomainModels.Models.IHouseholdTotals householdTotals = household.HouseholdTotals;
// household inputs
int childrenUnder5 = householdTotals.ChildrenUnder5;
int childrenAge5Through15 = householdTotals.ChildrenAge5Through15;
int nonworkingAdults = householdTotals.NonworkingAdults;
int retiredAdults = householdTotals.RetiredAdults;
int onePersonHouseholdFlag = household.IsOnePersonHousehold.ToFlag();
int twoPersonHouseholdFlag = household.IsTwoPersonHousehold.ToFlag();
//var householdCars = household.VehiclesAvailable; MABADD now an input parameter
int noCarsInHouseholdFlag = household.GetFlagForNoCarsInHousehold(householdCars);
int carsLessThanDriversFlag = household.GetFlagForCarsLessThanDrivers(householdCars);
int carsLessThanWorkersFlag = household.GetFlagForCarsLessThanWorkers(householdCars);
int income0To25KFlag = household.Has0To25KIncome.ToFlag();
int income100KPlusFlag = household.Has100KPlusIncome.ToFlag();
// person inputs
int partTimeWorkerFlag = person.IsPartTimeWorker.ToFlag();
int nonworkingAdultFlag = person.IsNonworkingAdult.ToFlag();
int universityStudentFlag = person.IsUniversityStudent.ToFlag();
int retiredAdultFlag = person.IsRetiredAdult.ToFlag();
int drivingAgeStudentFlag = person.IsDrivingAgeStudent.ToFlag();
int fulltimeWorkerFlag = person.IsFulltimeWorker.ToFlag();
int childAge5Through15Flag = person.IsChildAge5Through15.ToFlag();
int childUnder5Flag = person.IsChildUnder5.ToFlag();
int maleFlag = person.IsMale.ToFlag();
int ageUnder30Flag = person.AgeIsLessThan30.ToFlag();
int ageBetween51And98Flag = person.AgeIsBetween51And98.ToFlag();
int adultFlag = person.IsAdult.ToFlag();
// person-day inputs
int homeBasedToursOnlyFlag = (personDay == null) ? 1 : personDay.OnlyHomeBasedToursExist().ToFlag();
int firstSimulatedHomeBasedTourFlag = (personDay == null) ? 1 : personDay.IsFirstSimulatedHomeBasedTour().ToFlag();
int laterSimulatedHomeBasedTourFlag = (personDay == null) ? 0 : personDay.IsLaterSimulatedHomeBasedTour().ToFlag();
int totalStops = (personDay == null) ? 0 : personDay.GetTotalStops();
int totalSimulatedStops = (personDay == null) ? 0 : personDay.GetTotalSimulatedStops();
int escortStops = (personDay == null) ? 0 : personDay.EscortStops;
int homeBasedTours = (personDay == null) ? 1 : personDay.HomeBasedTours;
int simulatedHomeBasedTours = (personDay == null) ? 0 : personDay.SimulatedHomeBasedTours;
// tour inputs
int escortTourFlag = tour.IsEscortPurpose().ToFlag();
int shoppingTourFlag = tour.IsShoppingPurpose().ToFlag();
int mealTourFlag = tour.IsMealPurpose().ToFlag();
int socialTourFlag = tour.IsSocialPurpose().ToFlag();
int personalBusinessTourFlag = tour.IsPersonalBusinessPurpose().ToFlag();
int recreationTourFlag = tour.IsRecreationPurpose().ToFlag();
int medicalTourFlag = tour.IsMedicalPurpose().ToFlag();
IParcelWrapper originParcel = tour.OriginParcel;
//var destinationParcel = tour.DestinationParcel; MABADD now an input parameter
int jointTourFlag = (tour.JointTourSequence > 0) ? 1 : 0;
int partialHalfTour1Flag = (tour.PartialHalfTour1Sequence > 0) ? 1 : 0;
int partialHalfTour2Flag = (tour.PartialHalfTour2Sequence > 0) ? 1 : 0;
int fullHalfTour1Flag = (tour.FullHalfTour1Sequence > 0) ? 1 : 0;
int fullHalfTour2Flag = (tour.FullHalfTour2Sequence > 0) ? 1 : 0;
int parentTourMode = tour.ParentTour == null ? 0 : tour.ParentTour.Mode;
// remaining inputs
// Higher priority tour of 2+ tours for the same purpose
int highPrioritySameFlag = (personDay == null) ? 1 : (tour.GetTotalToursByPurpose() > tour.GetTotalSimulatedToursByPurpose() && tour.GetTotalSimulatedToursByPurpose() == 1).ToFlag();
// Lower priority tour(s) of 2+ tours for the same purpose
int lowPrioritySameFlag = (personDay == null) ? 0 : (tour.GetTotalSimulatedToursByPurpose() > 1).ToFlag();
// Higher priority tour of 2+ tours for different purposes
int highPriorityDifferentFlag = (personDay == null) ? 0 : (personDay.IsFirstSimulatedHomeBasedTour() && personDay.HomeBasedToursExist()).ToFlag() * (1 - highPrioritySameFlag);
// Lower priority tour of 2+ tours for different purposes
int lowPriorityDifferentFlag = (personDay == null) ? 0 : (personDay.IsLaterSimulatedHomeBasedTour() && personDay.HomeBasedToursExist()).ToFlag() * (1 - lowPrioritySameFlag);
ITimeWindow timeWindow = (householdDay == null) ? new TimeWindow() : tour.GetRelevantTimeWindow(householdDay);
int totalMinutesAvailableInDay = timeWindow.TotalAvailableMinutes(1, 1440);
int bigPeriodCount = DayPeriod.H_BIG_DAY_PERIOD_TOTAL_TOUR_TIMES;
int nPeriodCombs = bigPeriodCount * (bigPeriodCount + 1) / 2;
//set components
int componentIndex = 0;
int periodComb = -1;
bool useTimeComponents = Global.Configuration.IsInEstimationMode || constrainedArrivalTime == 0 || constrainedDepartureTime == 0;
if (useTimeComponents)
{
for (int arrivalPeriodIndex = 0; arrivalPeriodIndex < bigPeriodCount; arrivalPeriodIndex++)
{
MinuteSpan arrivalPeriod = DayPeriod.HBigDayPeriods[arrivalPeriodIndex];
int arrivalPeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(arrivalPeriod.Start, arrivalPeriod.End);
for (int departurePeriodIndex = arrivalPeriodIndex; departurePeriodIndex < bigPeriodCount; departurePeriodIndex++)
{
MinuteSpan departurePeriod = DayPeriod.HBigDayPeriods[departurePeriodIndex];
int departurePeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(departurePeriod.Start, departurePeriod.End);
if (arrivalPeriod == departurePeriod)
{
componentIndex = arrivalPeriodIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component arrivalComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (arrivalPeriodAvailableMinutes > 0)
{
double hoursArrival = arrivalPeriod.Middle / 60.0;
int firstCoef = 300;
arrivalComponent.AddUtilityTerm(300, Math.Log(arrivalPeriodAvailableMinutes));
//arrival shift variables
arrivalComponent.AddUtilityTerm(firstCoef + 2, partTimeWorkerFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 3, nonworkingAdultFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 4, universityStudentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 5, retiredAdultFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 6, drivingAgeStudentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 7, childAge5Through15Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 8, childUnder5Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 9, escortTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 10, shoppingTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 11, mealTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 12, socialTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 13, personalBusinessTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 14, recreationTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 15, medicalTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 16, income0To25KFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 17, income100KPlusFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 18, highPrioritySameFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 19, lowPrioritySameFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 20, highPriorityDifferentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 21, lowPriorityDifferentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 22, jointTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 23, partialHalfTour1Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 24, fullHalfTour1Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 25, partialHalfTour2Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 26, fullHalfTour2Flag * hoursArrival);
}
componentIndex = bigPeriodCount + departurePeriodIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component departureComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (departurePeriodAvailableMinutes > 0)
{
departureComponent.AddUtilityTerm(300, Math.Log(departurePeriodAvailableMinutes));
}
}
// set period combination component
periodComb++;
componentIndex = 2 * bigPeriodCount + periodComb;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component combinationComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (arrivalPeriodAvailableMinutes > 0 && departurePeriodAvailableMinutes > 0)
{
double hoursDuration = (departurePeriod.Middle - arrivalPeriod.Middle) / 60.0;
int firstCoef = 700;
//combination constants
combinationComponent.AddUtilityTerm(firstCoef + periodComb, 1.0);
// duration shift variables
combinationComponent.AddUtilityTerm(firstCoef + 31, escortTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 32, shoppingTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 33, mealTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 34, socialTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 35, personalBusinessTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 36, recreationTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 37, medicalTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 38, highPrioritySameFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 39, lowPrioritySameFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 40, highPriorityDifferentFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 41, lowPriorityDifferentFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 42, partTimeWorkerFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 43, jointTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 44, partialHalfTour1Flag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 45, fullHalfTour1Flag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 46, partialHalfTour2Flag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 47, fullHalfTour2Flag * hoursDuration);
// peak-to-peak variables
if (arrivalPeriod.Index == DayPeriod.AM_PEAK && departurePeriod.Index == DayPeriod.PM_PEAK)
{
combinationComponent.AddUtilityTerm(firstCoef + 48, fulltimeWorkerFlag);
combinationComponent.AddUtilityTerm(firstCoef + 49, income0To25KFlag);
combinationComponent.AddUtilityTerm(firstCoef + 50, income100KPlusFlag);
}
}
}
}
}
for (int mode = Global.Settings.Modes.Walk; mode <= Global.Settings.Modes.SchoolBus; mode++)
{
componentIndex = 2 * bigPeriodCount + nPeriodCombs + mode - 1;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component modeComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (mode == Global.Settings.Modes.SchoolBus)
{
modeComponent.AddUtilityTerm(10, 1);
modeComponent.AddUtilityTerm(11, childUnder5Flag);
modeComponent.AddUtilityTerm(12, adultFlag);
}
else if (mode == Global.Settings.Modes.ParkAndRide)
{
modeComponent.AddUtilityTerm(10, 1);
modeComponent.AddUtilityTerm(16, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(17, carsLessThanWorkersFlag);
modeComponent.AddUtilityTerm(129, destinationParcel.MixedUse2Index1());
modeComponent.AddUtilityTerm(129, destinationParcel.TotalEmploymentDensity1() / 5000.0);
modeComponent.AddUtilityTerm(129, destinationParcel.NetIntersectionDensity1() / 50.0);
//modeComponent.AddUtilityTerm(123, Math.Log(destinationParcel.StopsTransitBuffer1 + 1));
}
else if (mode == Global.Settings.Modes.Transit)
{
modeComponent.AddUtilityTerm(20, 1);
// modeComponent.AddUtilityTerm(21, maleFlag);
modeComponent.AddUtilityTerm(22, ageUnder30Flag);
// modeComponent.AddUtilityTerm(23, ageBetween51And98Flag);
modeComponent.AddUtilityTerm(24, income0To25KFlag);
// modeComponent.AddUtilityTerm(25, income100KPlusFlag);
modeComponent.AddUtilityTerm(26, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(27, carsLessThanDriversFlag);
modeComponent.AddUtilityTerm(129, destinationParcel.MixedUse2Index1());
modeComponent.AddUtilityTerm(129, destinationParcel.TotalEmploymentDensity1() / 5000.0);
modeComponent.AddUtilityTerm(129, destinationParcel.NetIntersectionDensity1() / 50.0);
// modeComponent.AddUtilityTerm(124, originParcel.NetIntersectionDensity1()/50.0);
// modeComponent.AddUtilityTerm(124, originParcel.HouseholdDensity1()/1000.0);
// modeComponent.AddUtilityTerm(124, originParcel.MixedUse2Index1());
//modeComponent.AddUtilityTerm(123, Math.Log(destinationParcel.StopsTransitBuffer1 + 1));
//modeComponent.AddUtilityTerm(122, Math.Log(originParcel.StopsTransitBuffer1 + 1));
}
else if (mode == Global.Settings.Modes.Hov3)
{
modeComponent.AddUtilityTerm(30, 1);
modeComponent.AddUtilityTerm(31, childrenUnder5);
modeComponent.AddUtilityTerm(32, childrenAge5Through15);
modeComponent.AddUtilityTerm(34, nonworkingAdults + retiredAdults);
modeComponent.AddUtilityTerm(38, onePersonHouseholdFlag);
modeComponent.AddUtilityTerm(39, twoPersonHouseholdFlag);
modeComponent.AddUtilityTerm(36, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(37, carsLessThanDriversFlag);
}
else if (mode == Global.Settings.Modes.Hov2)
{
modeComponent.AddUtilityTerm(31, childrenUnder5);
modeComponent.AddUtilityTerm(32, childrenAge5Through15);
modeComponent.AddUtilityTerm(34, nonworkingAdults + retiredAdults);
modeComponent.AddUtilityTerm(36, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(37, carsLessThanDriversFlag);
modeComponent.AddUtilityTerm(40, 1);
modeComponent.AddUtilityTerm(41, onePersonHouseholdFlag);
}
else if (mode == Global.Settings.Modes.Sov)
{
// modeComponent.AddUtilityTerm(50, 1);
// modeComponent.AddUtilityTerm(54, income0To25KFlag);
modeComponent.AddUtilityTerm(55, income100KPlusFlag);
modeComponent.AddUtilityTerm(57, carsLessThanWorkersFlag);
}
else if (mode == Global.Settings.Modes.Bike)
{
modeComponent.AddUtilityTerm(60, 1);
modeComponent.AddUtilityTerm(61, maleFlag);
modeComponent.AddUtilityTerm(62, ageUnder30Flag);
modeComponent.AddUtilityTerm(63, ageBetween51And98Flag);
// modeComponent.AddUtilityTerm(64, income0To25KFlag);
// modeComponent.AddUtilityTerm(65, income100KPlusFlag);
modeComponent.AddUtilityTerm(66, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(67, carsLessThanDriversFlag);
modeComponent.AddUtilityTerm(169, destinationParcel.MixedUse4Index2());
modeComponent.AddUtilityTerm(169, destinationParcel.TotalEmploymentDensity2() / 20000.0);
modeComponent.AddUtilityTerm(169, destinationParcel.NetIntersectionDensity2() / 200.0);
modeComponent.AddUtilityTerm(164, originParcel.NetIntersectionDensity2() / 200.0);
modeComponent.AddUtilityTerm(164, originParcel.HouseholdDensity2() / 4000.0);
modeComponent.AddUtilityTerm(164, originParcel.MixedUse4Index2());
}
else if (mode == Global.Settings.Modes.Walk)
{
modeComponent.AddUtilityTerm(70, 1.0);
modeComponent.AddUtilityTerm(71, maleFlag);
modeComponent.AddUtilityTerm(72, ageUnder30Flag);
// modeComponent.AddUtilityTerm(73, ageBetween51And98Flag);
// modeComponent.AddUtilityTerm(74, income0To25KFlag);
modeComponent.AddUtilityTerm(75, income100KPlusFlag);
// modeComponent.AddUtilityTerm(76, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(77, carsLessThanDriversFlag);
modeComponent.AddUtilityTerm(179, destinationParcel.MixedUse4Index1());
modeComponent.AddUtilityTerm(179, destinationParcel.TotalEmploymentDensity1() / 5000.0);
modeComponent.AddUtilityTerm(179, destinationParcel.NetIntersectionDensity1() / 50.0);
modeComponent.AddUtilityTerm(179, originParcel.NetIntersectionDensity1() / 50.0);
modeComponent.AddUtilityTerm(179, originParcel.HouseholdDensity1() / 1000.0);
modeComponent.AddUtilityTerm(179, originParcel.MixedUse4Index1());
}
if (mode == Global.Settings.Modes.Walk || mode == Global.Settings.Modes.Bike || mode == Global.Settings.Modes.Hov2 ||
mode == Global.Settings.Modes.Hov3 || mode == Global.Settings.Modes.Transit)
{
int firstCoef = 200 + 10 * mode;
//modeComponent.AddUtilityTerm(firstCoef + 0, escortTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 1, shoppingTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 2, mealTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 3, socialTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 4, personalBusinessTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 5, recreationTourFlag);
// modeComponent.AddUtilityTerm(firstCoef + 6, medicalTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 7, jointTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 8, Math.Min(partialHalfTour1Flag + partialHalfTour2Flag, 1.0));
modeComponent.AddUtilityTerm(firstCoef + 9, Math.Min(fullHalfTour1Flag + fullHalfTour2Flag, 1.0));
modeComponent.AddUtilityTerm(290 + mode, mode == parentTourMode ? 1 : 0);
}
modeComponent.AddUtilityTerm(298, mode >= Global.Settings.Modes.Sov && mode <= Global.Settings.Modes.Hov3 && parentTourMode == Global.Settings.Modes.Sov ? 1 : 0);
modeComponent.AddUtilityTerm(299, mode >= Global.Settings.Modes.Sov && mode <= Global.Settings.Modes.Hov3 && parentTourMode >= Global.Settings.Modes.Hov2 && parentTourMode <= Global.Settings.Modes.Hov3 ? 1 : 0);
}
//loop on all alternatives, using modeTimes objects
{
foreach (HTourModeTime modeTimes in HTourModeTime.ModeTimes[ParallelUtility.threadLocalAssignedIndex.Value])
{
MinuteSpan arrivalPeriod = modeTimes.ArrivalPeriod;
int arrivalPeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(arrivalPeriod.Start, arrivalPeriod.End);
MinuteSpan departurePeriod = modeTimes.DeparturePeriod;
int departurePeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(departurePeriod.Start, departurePeriod.End);
periodComb = modeTimes.PeriodCombinationIndex;
int mode = modeTimes.Mode;
int altIndex = modeTimes.Index;
//set availabillity based on time window variables and any constrained choices
bool available = (modeTimes.LongestFeasibleWindow != null) && (mode > 0) &&
(mode != Global.Settings.Modes.Sov || (tour.Person.IsDrivingAge && tour.Household.VehiclesAvailable > 0)) &&
(constrainedMode <= 0 || constrainedMode == mode) &&
(constrainedArrivalTime <= 0 || (constrainedArrivalTime >= arrivalPeriod.Start && constrainedArrivalTime <= arrivalPeriod.End)) &&
(constrainedDepartureTime <= 0 || (constrainedDepartureTime >= departurePeriod.Start && constrainedDepartureTime <= departurePeriod.End));
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(altIndex, available,
choice != null && choice.Index == altIndex);
alternative.Choice = modeTimes; // JLB added 20130420
//alternative.AddNestedAlternative(HTourModeTime.TOTAL_TOUR_MODE_TIMES + periodComb + 1, periodComb, THETA_PARAMETER);
if (Global.Configuration.IsInEstimationMode && choice != null && altIndex == choice.Index)
{
Global.PrintFile.WriteLine("Aper Dper Mode {0} {1} {2} Travel Times {3} {4} Window {5} {6}",
arrivalPeriod.Index, departurePeriod.Index, mode,
modeTimes.ModeAvailableToDestination ? modeTimes.TravelTimeToDestination : -1,
modeTimes.ModeAvailableFromDestination ? modeTimes.TravelTimeFromDestination : -1,
modeTimes.LongestFeasibleWindow != null ? modeTimes.LongestFeasibleWindow.Start : -1,
modeTimes.LongestFeasibleWindow != null ? modeTimes.LongestFeasibleWindow.End : -1);
}
/* if (altIndex == 0)
* {
* alternative.AddUtilityTerm(991, tour.Household.Id);
* alternative.AddUtilityTerm(992, tour.Person.Id);
* alternative.AddUtilityTerm(993, tour.PersonDay.Day);
* alternative.AddUtilityTerm(994, tour.Sequence);
* alternative.AddUtilityTerm(995, constrainedMode);
* alternative.AddUtilityTerm(996, constrainedArrivalTime);
* alternative.AddUtilityTerm(997, constrainedDepartureTime);
* alternative.AddUtilityTerm(998, tour.DestinationPurpose);
* alternative.AddUtilityTerm(999, (tour.ParentTour == null) ? 0 : 1);
* }
*/
//if in application mode and combination is not available, can skip the rest
if (!Global.Configuration.IsInEstimationMode && !alternative.Available)
{
continue;
}
if (useTimeComponents)
{
// arrival period utility component
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(arrivalPeriod.Index));
// departure period utility component
alternative.AddUtilityComponent(
choiceProbabilityCalculator.GetUtilityComponent(bigPeriodCount + departurePeriod.Index));
// period combination utility component
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(2 * bigPeriodCount + periodComb));
}
// mode utility component
alternative.AddUtilityComponent(
choiceProbabilityCalculator.GetUtilityComponent(2 * bigPeriodCount + nPeriodCombs + mode - 1));
//even in estimation mode, do not need the rest of the code if not available
if (!alternative.Available)
{
continue;
}
// set parking cost for period combination
double parkingDuration = (departurePeriod == arrivalPeriod
? (arrivalPeriod.End - arrivalPeriod.Start) / 2.0
: departurePeriod.Middle - arrivalPeriod.Middle) / 60.0;
// parking at work is free if no paid parking at work and tour goes to usual workplace
double destinationParkingCost = (!Global.Configuration.IsInEstimationMode &&
Global.Configuration.ShouldRunPayToParkAtWorkplaceModel &&
tour.Person.UsualWorkParcel != null &&
destinationParcel == tour.Person.UsualWorkParcel &&
person.PaidParkingAtWorkplace == 0)
? 0.0
: destinationParcel.ParkingCostBuffer1(parkingDuration);
double parkingCostFraction = (mode == Global.Settings.Modes.Sov)
? 1.0
: (mode == Global.Settings.Modes.Hov2)
? 1.0 / Global.Configuration.Coefficients_HOV2CostDivisor_Work
: (mode == Global.Settings.Modes.Hov3)
? 1.0 / Global.Configuration.Coefficients_HOV3CostDivisor_Work
: 0.0;
double minimumTimeNeeded = modeTimes.TravelTimeToDestination + modeTimes.TravelTimeFromDestination +
Global.Settings.Times.MinimumActivityDuration;
alternative.AddUtilityTerm(1, modeTimes.GeneralizedTimeToDestination + modeTimes.GeneralizedTimeFromDestination);
//alternative.AddUtilityTerm(2, destinationParkingCost*parkingCostFraction);
//alternative.AddUtilityTerm(3,
// Math.Log(Math.Min(1140, modeTimes.LongestFeasibleWindow.End - modeTimes.LongestFeasibleWindow.Start -
// minimumTimeNeeded + 1.0 )));
// JLB 20140204 replaced coeff 3 with a different time window formulation: time pressure
// instead of having positive utility for increasing time window, have negative utility for decreasing time window
alternative.AddUtilityTerm(3,
Math.Log(Math.Max(Constants.EPSILON, 1 -
Math.Pow(minimumTimeNeeded / (Math.Min(1140, modeTimes.LongestFeasibleWindow.End - modeTimes.LongestFeasibleWindow.Start)), 0.3)
)));
//alternative.AddUtilityTerm(4, Math.Log((totalMinutesAvailableInDay + 1.0)/(minimumTimeNeeded + 1.0)));
//alternative.AddUtilityTerm(4,
// Math.Log(Math.Max(Constants.EPSILON, 1 - minimumTimeNeeded/(Math.Min(1140, totalMinutesAvailableInDay)))));
//alternative.AddUtilityTerm(5,
// (maleFlag == 0 && mode == Global.Settings.Modes.Walk &&
// arrivalPeriod.Index >= DayPeriod.EVENING)
// ? 1
// : 0);
// alternative.AddUtilityTerm(5,
// (maleFlag == 0 && mode == Global.Settings.Modes.Walk &&
// departurePeriod.Index >= DayPeriod.EVENING)
// ? 1
// : 0);
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, IPersonDayWrapper personDay, DayPattern choice = null)
{
IHouseholdWrapper household = personDay.Household;
IParcelWrapper residenceParcel = household.ResidenceParcel;
IPersonWrapper person = personDay.Person;
int carsPerDriver = household.GetCarsPerDriver();
double mixedDensity = residenceParcel.MixedUse3Index2();
double intersectionDensity = residenceParcel.IntersectionDensity34Minus1Buffer2();
double[] purposeLogsums = new double[Global.Settings.Purposes.TotalPurposes];
double[] atUsualLogsums = new double[3];
int carOwnership = person.GetCarOwnershipSegment();
int votSegment = person.Household.GetVotALSegment();
int transitAccess = residenceParcel.TransitAccessSegment();
if (person.UsualWorkParcel == null || person.UsualWorkParcelId == household.ResidenceParcelId)
{
purposeLogsums[Global.Settings.Purposes.Work] = 0;
}
else
{
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.WorkTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.WorkTourModeModel);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <WorkTourModeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
purposeLogsums[Global.Settings.Purposes.Work] = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
atUsualLogsums[Global.Settings.Purposes.Work] = Global.AggregateLogsums[person.UsualWorkParcel.ZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votSegment][person.UsualWorkParcel.TransitAccessSegment()];
}
if (person.UsualSchoolParcel == null || person.UsualSchoolParcelId == household.ResidenceParcelId)
{
purposeLogsums[Global.Settings.Purposes.School] = 0;
}
else
{
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.SchoolTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.SchoolTourModeModel);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <SchoolTourModeModel>().RunNested(personDay, residenceParcel, person.UsualSchoolParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
purposeLogsums[Global.Settings.Purposes.School] = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
atUsualLogsums[Global.Settings.Purposes.School] = Global.AggregateLogsums[person.UsualSchoolParcel.ZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votSegment][person.UsualSchoolParcel.TransitAccessSegment()];
}
double compositeLogsum = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Escort] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Escort][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.PersonalBusiness] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.PersonalBusiness][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Shopping] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Shopping][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Meal] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Meal][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Social] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Social][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Recreation] = compositeLogsum;
purposeLogsums[Global.Settings.Purposes.Medical] = compositeLogsum;
for (int xPurpose = Global.Settings.Purposes.Work; xPurpose <= Global.Settings.Purposes.Social + 10; xPurpose++)
{
// extra components 1-5 are for 2,3,4,5,6 tour purposes
// extra components 6-10 are for 2,3,4,5,6 stop puroposes
// recode purpose to match coefficients
int purpose = xPurpose <= Global.Settings.Purposes.Social ? xPurpose :
xPurpose <= Global.Settings.Purposes.Social + 5 ?
Global.Settings.Purposes.Social + 1 : Global.Settings.Purposes.Social + 2;
// get correct multiplier on coefficients.
double xMultiplier = xPurpose <= Global.Settings.Purposes.Social ? 1.0 :
xPurpose <= Global.Settings.Purposes.Social + 5 ?
Math.Log(xPurpose - Global.Settings.Purposes.Social + 1) : Math.Log(xPurpose - Global.Settings.Purposes.Social - 5 + 1);
choiceProbabilityCalculator.CreateUtilityComponent(xPurpose);
ChoiceProbabilityCalculator.Component component = choiceProbabilityCalculator.GetUtilityComponent(xPurpose);
component.AddUtilityTerm(100 * purpose + 51, xMultiplier * person.IsFulltimeWorker.ToFlag());
component.AddUtilityTerm(100 * purpose + 2, xMultiplier * person.IsPartTimeWorker.ToFlag());
component.AddUtilityTerm(100 * purpose + 3, xMultiplier * person.IsRetiredAdult.ToFlag());
component.AddUtilityTerm(100 * purpose + 4, xMultiplier * person.IsNonworkingAdult.ToFlag());
component.AddUtilityTerm(100 * purpose + 5, xMultiplier * person.IsUniversityStudent.ToFlag());
component.AddUtilityTerm(100 * purpose + 6, xMultiplier * person.IsDrivingAgeStudent.ToFlag());
component.AddUtilityTerm(100 * purpose + 7, xMultiplier * person.IsChildAge5Through15.ToFlag());
component.AddUtilityTerm(100 * purpose + 8, xMultiplier * person.IsChildUnder5.ToFlag());
component.AddUtilityTerm(100 * purpose + 9, xMultiplier * household.Has0To25KIncome.ToFlag());
component.AddUtilityTerm(100 * purpose + 10, xMultiplier * household.Has25To45KIncome.ToFlag());
component.AddUtilityTerm(100 * purpose + 11, xMultiplier * household.Has75KPlusIncome.ToFlag());
component.AddUtilityTerm(100 * purpose + 12, xMultiplier * carsPerDriver);
component.AddUtilityTerm(100 * purpose + 13, xMultiplier * person.IsOnlyAdult().ToFlag());
component.AddUtilityTerm(100 * purpose + 14, xMultiplier * person.IsOnlyFullOrPartTimeWorker().ToFlag());
component.AddUtilityTerm(100 * purpose + 15, xMultiplier * 0);
component.AddUtilityTerm(100 * purpose + 16, xMultiplier * person.IsFemale.ToFlag() * person.IsAdult.ToFlag() * (!household.HasChildrenUnder16).ToFlag());
component.AddUtilityTerm(100 * purpose + 17, xMultiplier * person.IsFemale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenUnder5.ToFlag());
component.AddUtilityTerm(100 * purpose + 18, xMultiplier * person.IsFemale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenAge5Through15.ToFlag());
component.AddUtilityTerm(100 * purpose + 19, xMultiplier * person.IsMale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenUnder5.ToFlag());
component.AddUtilityTerm(100 * purpose + 20, xMultiplier * person.IsMale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenAge5Through15.ToFlag());
component.AddUtilityTerm(100 * purpose + 21, xMultiplier * person.AgeIsBetween18And25.ToFlag());
component.AddUtilityTerm(100 * purpose + 22, xMultiplier * person.AgeIsBetween26And35.ToFlag());
component.AddUtilityTerm(100 * purpose + 23, xMultiplier * person.AgeIsBetween51And65.ToFlag());
component.AddUtilityTerm(100 * purpose + 24, xMultiplier * person.WorksAtHome().ToFlag());
component.AddUtilityTerm(100 * purpose + 25, xMultiplier * mixedDensity);
component.AddUtilityTerm(100 * purpose + 26, xMultiplier * intersectionDensity);
component.AddUtilityTerm(100 * purpose + 27, xMultiplier * purposeLogsums[purpose]);
component.AddUtilityTerm(100 * purpose + 28, xMultiplier * person.TransitPassOwnership);
}
// tour utility
int tourComponentIndex = Global.Settings.Purposes.Social + 11;
choiceProbabilityCalculator.CreateUtilityComponent(tourComponentIndex);
ChoiceProbabilityCalculator.Component tourComponent = choiceProbabilityCalculator.GetUtilityComponent(tourComponentIndex);
tourComponent.AddUtilityTerm(1401, carsPerDriver);
tourComponent.AddUtilityTerm(1402, person.WorksAtHome().ToFlag());
tourComponent.AddUtilityTerm(1403, mixedDensity);
tourComponent.AddUtilityTerm(1404, mixedDensity * person.IsChildAge5Through15.ToFlag());
tourComponent.AddUtilityTerm(1405, compositeLogsum);
tourComponent.AddUtilityTerm(1406, person.TransitPassOwnership);
// stop utility
int stopComponentIndex = Global.Settings.Purposes.Social + 12;
choiceProbabilityCalculator.CreateUtilityComponent(stopComponentIndex);
ChoiceProbabilityCalculator.Component stopComponent = choiceProbabilityCalculator.GetUtilityComponent(stopComponentIndex);
stopComponent.AddUtilityTerm(1411, carsPerDriver);
stopComponent.AddUtilityTerm(1412, person.WorksAtHome().ToFlag());
stopComponent.AddUtilityTerm(1413, mixedDensity);
stopComponent.AddUtilityTerm(1414, mixedDensity * person.IsChildAge5Through15.ToFlag());
stopComponent.AddUtilityTerm(1415, compositeLogsum);
stopComponent.AddUtilityTerm(1416, person.TransitPassOwnership);
for (int alternativeIndex = 0; alternativeIndex < TOTAL_ALTERNATIVES; alternativeIndex++)
{
DayPattern dayPattern = _dayPatterns[alternativeIndex];
bool available =
// work tours and stops only available for workers
(person.IsWorker || (dayPattern.WorkTours <= 0 && dayPattern.WorkStops <= 0)) &&
// school tours and stops only available for students with usual school parcel not at home
((person.IsStudent && person.UsualSchoolParcel != null && person.UsualSchoolParcel != person.Household.ResidenceParcel) || (dayPattern.SchoolTours <= 0 && dayPattern.SchoolStops <= 0)) &&
// school stops not available if usual school parcel is same as usual work parcel
((person.IsStudent && person.UsualSchoolParcel != null && person.UsualSchoolParcel != person.UsualWorkParcel) || (dayPattern.SchoolStops <= 0));
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alternativeIndex, available, choice != null && choice.Equals(dayPattern));
if (!Global.Configuration.IsInEstimationMode && !alternative.Available)
{
continue;
}
alternative.Choice = dayPattern;
// components for the purposes
for (int purpose = Global.Settings.Purposes.Work; purpose <= Global.Settings.Purposes.Social; purpose++)
{
if (dayPattern.Tours[purpose] > 0 || dayPattern.Stops[purpose] > 0)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(purpose));
if (dayPattern.Tours[purpose] > 0)
{
alternative.AddUtilityTerm(100 * purpose, 1); // tour purpose ASC
alternative.AddUtilityTerm(100 * purpose + 29, purposeLogsums[purpose]); // tour purpose logsum
alternative.AddUtilityTerm(100 * purpose + 30, person.PaidParkingAtWorkplace); // only use for work purpose
}
if (dayPattern.Stops[purpose] > 0)
{
alternative.AddUtilityTerm(100 * purpose + 1, 1); // stop purpose ASC
alternative.AddUtilityTerm(100 * purpose + 31, purposeLogsums[purpose]); // stop purpose logsum
}
if (Global.Configuration.IsInEstimationMode)
{
alternative.AddUtilityTerm(100 * purpose + 32, 1 - person.PaperDiary);
alternative.AddUtilityTerm(100 * purpose + 33, person.ProxyResponse);
}
}
}
// multiple tour purposes component
if (dayPattern.TotalTours > 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(Global.Settings.Purposes.Social + (dayPattern.TotalTours - 1)));
}
// multiple stop purposes component
if (dayPattern.TotalStops > 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(Global.Settings.Purposes.Social + 5 + (dayPattern.TotalStops - 1)));
}
for (int tourPurpose = Global.Settings.Purposes.Work; tourPurpose <= Global.Settings.Purposes.Social; tourPurpose++)
{
for (int stopPurpose = Global.Settings.Purposes.Work; stopPurpose <= Global.Settings.Purposes.Social - 1; stopPurpose++)
{
if (tourPurpose > Global.Settings.Purposes.School && stopPurpose <= Global.Settings.Purposes.School)
{
continue;
}
if (dayPattern.Tours[tourPurpose] > 0 && dayPattern.Stops[stopPurpose] > 0)
{
alternative.AddUtilityTerm(1000 + 10 * tourPurpose + stopPurpose, 1); // tour-stop comb. utility
}
}
}
for (int tourPurpose = Global.Settings.Purposes.Work; tourPurpose <= Global.Settings.Purposes.School; tourPurpose++)
{
if (dayPattern.Tours[tourPurpose] == 1 && dayPattern.TotalStops >= 1)
{
alternative.AddUtilityTerm(1000 + 10 * tourPurpose, purposeLogsums[tourPurpose]); // usual location logsum x presence of stops in work or school pattern
alternative.AddUtilityTerm(1000 + 10 * tourPurpose + 8, compositeLogsum); // home aggregate logsum x presence of stops in work or school pattern
alternative.AddUtilityTerm(1000 + 10 * tourPurpose + 9, atUsualLogsums[tourPurpose]); // at usual location aggregate logsum x presence of stops in work or school pattern
}
}
for (int tourPurpose = Global.Settings.Purposes.Work; tourPurpose <= Global.Settings.Purposes.Social - 2; tourPurpose++)
{
for (int tourPurpose2 = tourPurpose + 1; tourPurpose2 <= Global.Settings.Purposes.Social; tourPurpose2++)
{
if (dayPattern.Tours[tourPurpose] > 0 && dayPattern.Tours[tourPurpose2] > 0)
{
alternative.AddUtilityTerm(1100 + 10 * tourPurpose + tourPurpose2, 1); // tour-tour comb. utility
}
}
}
for (int stopPurpose = Global.Settings.Purposes.Work; stopPurpose <= Global.Settings.Purposes.Social - 2; stopPurpose++)
{
for (int stopPurpose2 = stopPurpose + 1; stopPurpose2 <= Global.Settings.Purposes.Social; stopPurpose2++)
{
if (dayPattern.Stops[stopPurpose] > 0 && dayPattern.Stops[stopPurpose2] > 0)
{
alternative.AddUtilityTerm(1200 + 10 * stopPurpose + stopPurpose2, 1); // stop-stop comb. utility
}
}
}
if (dayPattern.TotalTours > 0 && dayPattern.TotalStops > 0)
{
int totalStops = dayPattern.TotalStops;
if (totalStops > 3)
{
totalStops = 3;
}
alternative.AddUtilityTerm(1300 + 10 * dayPattern.TotalTours + totalStops, 1); // nttour-ntstop utility
}
if (dayPattern.TotalTours - dayPattern.Tours[Global.Settings.Purposes.Work] - dayPattern.Tours[Global.Settings.Purposes.School] > 0)
{
// tour utility
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(tourComponentIndex));
}
if (dayPattern.TotalStops - dayPattern.Stops[Global.Settings.Purposes.Work] - dayPattern.Stops[Global.Settings.Purposes.School] > 0)
{
// stop utility
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(stopComponentIndex));
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, ITourWrapper tour, TourTime choice = null)
{
IHouseholdWrapper household = tour.Household;
IPersonWrapper person = tour.Person;
IPersonDayWrapper personDay = tour.PersonDay;
// household inputs
int income0To25KFlag = household.Has0To25KIncome.ToFlag();
int income100KPlusFlag = household.Has100KPlusIncome.ToFlag();
// person inputs
int partTimeWorkerFlag = person.IsPartTimeWorker.ToFlag();
int nonworkingAdultFlag = person.IsNonworkingAdult.ToFlag();
int universityStudentFlag = person.IsUniversityStudent.ToFlag();
int retiredAdultFlag = person.IsRetiredAdult.ToFlag();
int drivingAgeStudentFlag = person.IsDrivingAgeStudent.ToFlag();
int fulltimeWorkerFlag = person.IsFulltimeWorker.ToFlag();
int childAge5Through15Flag = person.IsChildAge5Through15.ToFlag();
int childUnder5Flag = person.IsChildUnder5.ToFlag();
// person-day inputs
int homeBasedToursOnlyFlag = personDay.OnlyHomeBasedToursExist().ToFlag();
int firstSimulatedHomeBasedTourFlag = personDay.IsFirstSimulatedHomeBasedTour().ToFlag();
int laterSimulatedHomeBasedTourFlag = personDay.IsLaterSimulatedHomeBasedTour().ToFlag();
int totalStopPurposes = personDay.GetTotalStopPurposes(); // JLB 20150401 changed from GetTotalStops to assure consistent definition in apply and estimate
int totalSimulatedStops = personDay.GetTotalSimulatedStops();
int escortStops = personDay.EscortStops;
int homeBasedTours = personDay.HomeBasedTours;
int simulatedHomeBasedTours = personDay.SimulatedHomeBasedTours;
// tour inputs
int escortTourFlag = tour.IsEscortPurpose().ToFlag();
int shoppingTourFlag = tour.IsShoppingPurpose().ToFlag();
int mealTourFlag = tour.IsMealPurpose().ToFlag();
int socialTourFlag = tour.IsSocialPurpose().ToFlag();
int personalBusinessTourFlag = tour.IsPersonalBusinessPurpose().ToFlag();
int sovOrHovTourFlag = tour.IsAnAutoMode().ToFlag();
int transitTourFlag = tour.UsesTransitModes().ToFlag();
// remaining inputs
// Higher priority tour of 2+ tours for the same purpose
int highPrioritySameFlag = (tour.GetTotalToursByPurpose() > tour.GetTotalSimulatedToursByPurpose() && tour.GetTotalSimulatedToursByPurpose() == 1).ToFlag();
// Lower priority tour(s) of 2+ tours for the same purpose
int lowPrioritySameFlag = (tour.GetTotalSimulatedToursByPurpose() > 1).ToFlag();
// Higher priority tour of 2+ tours for different purposes
int highPriorityDifferentFlag = (personDay.IsFirstSimulatedHomeBasedTour() && personDay.HomeBasedToursExist()).ToFlag() * (1 - highPrioritySameFlag);
// Lower priority tour of 2+ tours for different purposes
int lowPriorityDifferentFlag = (personDay.IsLaterSimulatedHomeBasedTour() && personDay.HomeBasedToursExist()).ToFlag() * (1 - lowPrioritySameFlag);
ITimeWindow timeWindow = tour.ParentTour == null ? personDay.TimeWindow : tour.ParentTour.TimeWindow;
ITourModeImpedance[] impedances = tour.GetTourModeImpedances();
int period1Middle = 15;
int smallPeriodCount = DayPeriod.SmallDayPeriods.Count();
for (int periodIndex = 0; periodIndex < smallPeriodCount; periodIndex++)
{
// set arrival period component
int arrivalPeriodIndex = periodIndex;
double arrivalPeriodShift = arrivalPeriodIndex * (48.0 / DayPeriod.SMALL_DAY_PERIOD_TOTAL_TRIP_TIMES); //adjust shift amount if period lengths change
MinuteSpan arrivalPeriod = DayPeriod.SmallDayPeriods[arrivalPeriodIndex];
int earlyArriveFlag = arrivalPeriod.Middle.IsBetween(Global.Settings.Times.ThreeAM, Global.Settings.Times.SevenAM).ToFlag();
ITourModeImpedance arrivalImpedance = impedances[arrivalPeriodIndex];
int arrivalPeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(arrivalPeriod.Start, arrivalPeriod.End);
choiceProbabilityCalculator.CreateUtilityComponent(3 * periodIndex + 0);
ChoiceProbabilityCalculator.Component arrivalComponent = choiceProbabilityCalculator.GetUtilityComponent(3 * periodIndex + 0);
if (arrivalPeriodAvailableMinutes > 0 || Global.Configuration.IsInEstimationMode)
{
arrivalComponent.AddUtilityTerm(11, arrivalPeriod.Middle.IsBetween(Global.Settings.Times.ThreeAM, Global.Settings.Times.SixAM).ToFlag());
arrivalComponent.AddUtilityTerm(12, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.SixAM, Global.Settings.Times.SevenAM).ToFlag());
arrivalComponent.AddUtilityTerm(13, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.SevenAM, Global.Settings.Times.EightAM).ToFlag());
arrivalComponent.AddUtilityTerm(14, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.EightAM, Global.Settings.Times.NineAM).ToFlag());
arrivalComponent.AddUtilityTerm(15, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.NineAM, Global.Settings.Times.TenAM).ToFlag());
arrivalComponent.AddUtilityTerm(16, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.TenAM, Global.Settings.Times.OnePM).ToFlag());
arrivalComponent.AddUtilityTerm(17, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.OnePM, Global.Settings.Times.FourPM).ToFlag());
arrivalComponent.AddUtilityTerm(18, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.FourPM, Global.Settings.Times.SevenPM).ToFlag());
arrivalComponent.AddUtilityTerm(19, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.SevenPM, Global.Settings.Times.TenPM).ToFlag());
arrivalComponent.AddUtilityTerm(20, arrivalPeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.TenPM, Global.Settings.Times.MinutesInADay).ToFlag());
arrivalComponent.AddUtilityTerm(41, partTimeWorkerFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(43, nonworkingAdultFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(45, universityStudentFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(47, retiredAdultFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(49, drivingAgeStudentFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(139, fulltimeWorkerFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(141, childAge5Through15Flag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(143, childUnder5Flag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(145, escortTourFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(147, shoppingTourFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(149, mealTourFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(151, socialTourFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(153, personalBusinessTourFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(51, income0To25KFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(53, income100KPlusFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(55, highPrioritySameFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(57, lowPrioritySameFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(155, highPriorityDifferentFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(157, lowPriorityDifferentFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(59, homeBasedToursOnlyFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(61, totalStopPurposes * homeBasedToursOnlyFlag * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(63, totalStopPurposes * (1 - homeBasedToursOnlyFlag) * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(65, (Math.Max(totalStopPurposes - totalSimulatedStops, 0)) * (1 - homeBasedToursOnlyFlag) * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(67, escortStops * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(69, tour.TotalSubtours * arrivalPeriodShift);
arrivalComponent.AddUtilityTerm(72, income100KPlusFlag * earlyArriveFlag);
arrivalComponent.AddUtilityTerm(175, escortTourFlag * earlyArriveFlag);
arrivalComponent.AddUtilityTerm(176, shoppingTourFlag * earlyArriveFlag);
arrivalComponent.AddUtilityTerm(177, mealTourFlag * earlyArriveFlag);
arrivalComponent.AddUtilityTerm(85, sovOrHovTourFlag * arrivalImpedance.GeneralizedTimeFromOrigin * tour.TimeCoefficient);
arrivalComponent.AddUtilityTerm(87, transitTourFlag * Math.Max(0, arrivalImpedance.GeneralizedTimeFromOrigin) * tour.TimeCoefficient);
arrivalComponent.AddUtilityTerm(89, transitTourFlag * (arrivalImpedance.GeneralizedTimeFromOrigin < 0).ToFlag());
arrivalComponent.AddUtilityTerm(91, Math.Log(Math.Max(1, arrivalPeriodAvailableMinutes)));
arrivalComponent.AddUtilityTerm(93, arrivalImpedance.AdjacentMinutesBefore * firstSimulatedHomeBasedTourFlag);
arrivalComponent.AddUtilityTerm(95, arrivalImpedance.AdjacentMinutesBefore * laterSimulatedHomeBasedTourFlag);
arrivalComponent.AddUtilityTerm(99, (Math.Max(totalStopPurposes - totalSimulatedStops, 0)) / (1D + arrivalImpedance.AdjacentMinutesBefore));
}
// set departure period component
int departurePeriodIndex = periodIndex;
double departurePeriodShift = departurePeriodIndex * (48.0 / DayPeriod.SMALL_DAY_PERIOD_TOTAL_TRIP_TIMES); //adjust shift amount if period lengths change
MinuteSpan departurePeriod = DayPeriod.SmallDayPeriods[departurePeriodIndex];
int lateDepartFlag = departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.NinePM, Global.Settings.Times.MinutesInADay).ToFlag();
ITourModeImpedance departureImpedance = impedances[departurePeriodIndex];
int departurePeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(departurePeriod.Start, departurePeriod.End);
choiceProbabilityCalculator.CreateUtilityComponent(3 * periodIndex + 1);
ChoiceProbabilityCalculator.Component departureComponent = choiceProbabilityCalculator.GetUtilityComponent(3 * periodIndex + 1);
if (departurePeriodAvailableMinutes > 0 || Global.Configuration.IsInEstimationMode)
{
departureComponent.AddUtilityTerm(21, departurePeriod.Middle.IsBetween(Global.Settings.Times.ThreeAM, Global.Settings.Times.SevenAM).ToFlag());
departureComponent.AddUtilityTerm(22, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.SevenAM, Global.Settings.Times.TenAM).ToFlag());
departureComponent.AddUtilityTerm(23, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.TenAM, Global.Settings.Times.OnePM).ToFlag());
departureComponent.AddUtilityTerm(24, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.OnePM, Global.Settings.Times.ThreePM).ToFlag());
departureComponent.AddUtilityTerm(124, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.ThreePM, Global.Settings.Times.FourPM).ToFlag());
departureComponent.AddUtilityTerm(25, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.FourPM, Global.Settings.Times.FivePM).ToFlag());
departureComponent.AddUtilityTerm(26, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.FivePM, Global.Settings.Times.SixPM).ToFlag());
departureComponent.AddUtilityTerm(27, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.SixPM, Global.Settings.Times.SevenPM).ToFlag());
departureComponent.AddUtilityTerm(28, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.SevenPM, Global.Settings.Times.NinePM).ToFlag());
departureComponent.AddUtilityTerm(29, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.NinePM, Global.Settings.Times.Midnight).ToFlag());
departureComponent.AddUtilityTerm(30, departurePeriod.Middle.IsLeftExclusiveBetween(Global.Settings.Times.Midnight, Global.Settings.Times.MinutesInADay).ToFlag());
//added
departureComponent.AddUtilityTerm(136, transitTourFlag * departurePeriodShift);
departureComponent.AddUtilityTerm(137, transitTourFlag * lateDepartFlag);
//
departureComponent.AddUtilityTerm(73, income100KPlusFlag * lateDepartFlag);
departureComponent.AddUtilityTerm(178, escortTourFlag * lateDepartFlag);
departureComponent.AddUtilityTerm(179, shoppingTourFlag * lateDepartFlag);
departureComponent.AddUtilityTerm(180, mealTourFlag * lateDepartFlag);
departureComponent.AddUtilityTerm(86, sovOrHovTourFlag * departureImpedance.GeneralizedTimeFromDestination * tour.TimeCoefficient);
departureComponent.AddUtilityTerm(88, transitTourFlag * Math.Max(0, departureImpedance.GeneralizedTimeFromDestination) * tour.TimeCoefficient);
departureComponent.AddUtilityTerm(89, transitTourFlag * (departureImpedance.GeneralizedTimeFromDestination < 0).ToFlag());
departureComponent.AddUtilityTerm(92, Math.Log(Math.Max(1, departurePeriodAvailableMinutes)));
departureComponent.AddUtilityTerm(94, departureImpedance.AdjacentMinutesAfter * firstSimulatedHomeBasedTourFlag);
departureComponent.AddUtilityTerm(96, departureImpedance.AdjacentMinutesAfter * laterSimulatedHomeBasedTourFlag);
departureComponent.AddUtilityTerm(100, (Math.Max(totalStopPurposes - totalSimulatedStops, 0)) / (1D + departureImpedance.AdjacentMinutesAfter));
}
// set duration component (relative to period 1)
double periodSpan = periodIndex * (48.0 / DayPeriod.SMALL_DAY_PERIOD_TOTAL_TRIP_TIMES); //adjust shift amount if period lengths change;
if (arrivalPeriodIndex == 0)
{
period1Middle = arrivalPeriod.Middle;
}
int duration = departurePeriod.Middle - period1Middle;
int durationUnder1HourFlag = ChoiceModelUtility.GetDurationUnder1HourFlag(duration);
int duration1To2HoursFlag = ChoiceModelUtility.GetDuration1To2HoursFlag(duration);
int durationUnder4HoursFlag = ChoiceModelUtility.GetDurationUnder4HoursFlag(duration);
int durationUnder8HoursFlag = ChoiceModelUtility.GetDurationUnder8HoursFlag(duration);
int durationUnder9HoursFlag = ChoiceModelUtility.GetDurationUnder9HoursFlag(duration);
choiceProbabilityCalculator.CreateUtilityComponent(3 * periodIndex + 2);
ChoiceProbabilityCalculator.Component durationComponent = choiceProbabilityCalculator.GetUtilityComponent(3 * periodIndex + 2);
if (tour.IsWorkPurpose() || tour.IsSchoolPurpose())
{
durationComponent.AddUtilityTerm(31, duration.IsRightExclusiveBetween(Global.Settings.Times.ZeroHours, Global.Settings.Times.ThreeHours).ToFlag());
durationComponent.AddUtilityTerm(32, duration.IsRightExclusiveBetween(Global.Settings.Times.ThreeHours, Global.Settings.Times.FiveHours).ToFlag());
durationComponent.AddUtilityTerm(33, duration.IsRightExclusiveBetween(Global.Settings.Times.FiveHours, Global.Settings.Times.SevenHours).ToFlag());
durationComponent.AddUtilityTerm(34, duration.IsRightExclusiveBetween(Global.Settings.Times.SevenHours, Global.Settings.Times.NineHours).ToFlag());
durationComponent.AddUtilityTerm(35, duration.IsRightExclusiveBetween(Global.Settings.Times.NineHours, Global.Settings.Times.TenHours).ToFlag());
durationComponent.AddUtilityTerm(36, duration.IsRightExclusiveBetween(Global.Settings.Times.TenHours, Global.Settings.Times.ElevenHours).ToFlag());
durationComponent.AddUtilityTerm(37, duration.IsRightExclusiveBetween(Global.Settings.Times.ElevenHours, Global.Settings.Times.TwelveHours).ToFlag());
durationComponent.AddUtilityTerm(38, duration.IsRightExclusiveBetween(Global.Settings.Times.TwelveHours, Global.Settings.Times.FourteenHours).ToFlag());
durationComponent.AddUtilityTerm(39, duration.IsRightExclusiveBetween(Global.Settings.Times.FourteenHours, Global.Settings.Times.EighteenHours).ToFlag());
durationComponent.AddUtilityTerm(40, (duration >= Global.Settings.Times.EighteenHours).ToFlag());
}
else
{
durationComponent.AddUtilityTerm(31, duration.IsRightExclusiveBetween(Global.Settings.Times.ZeroHours, Global.Settings.Times.OneHour).ToFlag());
durationComponent.AddUtilityTerm(32, duration.IsRightExclusiveBetween(Global.Settings.Times.OneHour, Global.Settings.Times.TwoHours).ToFlag());
durationComponent.AddUtilityTerm(33, duration.IsRightExclusiveBetween(Global.Settings.Times.TwoHours, Global.Settings.Times.ThreeHours).ToFlag());
durationComponent.AddUtilityTerm(34, duration.IsRightExclusiveBetween(Global.Settings.Times.ThreeHours, Global.Settings.Times.FiveHours).ToFlag());
durationComponent.AddUtilityTerm(35, duration.IsRightExclusiveBetween(Global.Settings.Times.FiveHours, Global.Settings.Times.SevenHours).ToFlag());
durationComponent.AddUtilityTerm(36, duration.IsRightExclusiveBetween(Global.Settings.Times.SevenHours, Global.Settings.Times.NineHours).ToFlag());
durationComponent.AddUtilityTerm(37, duration.IsRightExclusiveBetween(Global.Settings.Times.NineHours, Global.Settings.Times.TwelveHours).ToFlag());
durationComponent.AddUtilityTerm(38, duration.IsRightExclusiveBetween(Global.Settings.Times.TwelveHours, Global.Settings.Times.FourteenHours).ToFlag());
durationComponent.AddUtilityTerm(39, duration.IsRightExclusiveBetween(Global.Settings.Times.FourteenHours, Global.Settings.Times.EighteenHours).ToFlag());
durationComponent.AddUtilityTerm(40, (duration >= Global.Settings.Times.EighteenHours).ToFlag());
}
durationComponent.AddUtilityTerm(42, partTimeWorkerFlag * periodSpan);
durationComponent.AddUtilityTerm(44, nonworkingAdultFlag * periodSpan);
durationComponent.AddUtilityTerm(46, universityStudentFlag * periodSpan);
durationComponent.AddUtilityTerm(48, retiredAdultFlag * periodSpan);
durationComponent.AddUtilityTerm(50, drivingAgeStudentFlag * periodSpan);
durationComponent.AddUtilityTerm(140, fulltimeWorkerFlag * periodSpan);
durationComponent.AddUtilityTerm(142, childAge5Through15Flag * periodSpan);
durationComponent.AddUtilityTerm(144, childUnder5Flag * periodSpan);
durationComponent.AddUtilityTerm(146, escortTourFlag * periodSpan);
durationComponent.AddUtilityTerm(148, shoppingTourFlag * periodSpan);
durationComponent.AddUtilityTerm(150, mealTourFlag * periodSpan);
durationComponent.AddUtilityTerm(152, socialTourFlag * periodSpan);
durationComponent.AddUtilityTerm(154, personalBusinessTourFlag * periodSpan);
durationComponent.AddUtilityTerm(52, income0To25KFlag * periodSpan);
durationComponent.AddUtilityTerm(54, income100KPlusFlag * periodSpan);
durationComponent.AddUtilityTerm(56, highPrioritySameFlag * periodSpan);
durationComponent.AddUtilityTerm(58, lowPrioritySameFlag * periodSpan);
durationComponent.AddUtilityTerm(156, highPriorityDifferentFlag * periodSpan);
durationComponent.AddUtilityTerm(158, lowPriorityDifferentFlag * periodSpan);
durationComponent.AddUtilityTerm(60, homeBasedToursOnlyFlag * periodSpan);
durationComponent.AddUtilityTerm(62, totalStopPurposes * homeBasedToursOnlyFlag * periodSpan);
durationComponent.AddUtilityTerm(64, totalStopPurposes * (1 - homeBasedToursOnlyFlag) * periodSpan);
durationComponent.AddUtilityTerm(66, (Math.Max(totalStopPurposes - totalSimulatedStops, 0)) * (1 - homeBasedToursOnlyFlag) * periodSpan);
durationComponent.AddUtilityTerm(68, escortStops * periodSpan);
durationComponent.AddUtilityTerm(70, tour.TotalSubtours * periodSpan);
durationComponent.AddUtilityTerm(71, fulltimeWorkerFlag * durationUnder9HoursFlag);
durationComponent.AddUtilityTerm(169, escortTourFlag * durationUnder1HourFlag);
durationComponent.AddUtilityTerm(170, shoppingTourFlag * durationUnder1HourFlag);
durationComponent.AddUtilityTerm(171, mealTourFlag * durationUnder1HourFlag);
durationComponent.AddUtilityTerm(172, escortTourFlag * duration1To2HoursFlag);
durationComponent.AddUtilityTerm(173, shoppingTourFlag * duration1To2HoursFlag);
durationComponent.AddUtilityTerm(174, mealTourFlag * duration1To2HoursFlag);
durationComponent.AddUtilityTerm(81, highPrioritySameFlag * durationUnder8HoursFlag);
durationComponent.AddUtilityTerm(82, lowPrioritySameFlag * durationUnder8HoursFlag);
durationComponent.AddUtilityTerm(83, highPriorityDifferentFlag * durationUnder8HoursFlag);
durationComponent.AddUtilityTerm(84, lowPriorityDifferentFlag * durationUnder4HoursFlag);
}
foreach (TourTime time in TourTime.Times)
{
bool available =
(time.ArrivalPeriod.Index < time.DeparturePeriod.Index &&
timeWindow.EntireSpanIsAvailable(time.ArrivalPeriod.End, time.DeparturePeriod.Start)) ||
(time.ArrivalPeriod.Index == time.DeparturePeriod.Index &&
timeWindow.TotalAvailableMinutes(time.ArrivalPeriod.Start, time.ArrivalPeriod.End) > 1);
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(time.Index, available, choice != null && choice.Equals(time));
if (!alternative.Available && !Global.Configuration.IsInEstimationMode)
{
continue;
}
int arrivalPeriodIndex = time.ArrivalPeriod.Index;
ITourModeImpedance arrivalImpedance = impedances[arrivalPeriodIndex];
int departurePeriodIndex = time.DeparturePeriod.Index;
ITourModeImpedance departureImpedance = impedances[departurePeriodIndex];
alternative.Choice = time;
// arrival period utility component
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(3 * time.ArrivalPeriod.Index + 0));
// departure period utility component
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(3 * time.DeparturePeriod.Index + 1));
// duration utility components
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(3 * (time.DeparturePeriod.Index - time.ArrivalPeriod.Index) + 2));
alternative.AddUtilityTerm(97, Math.Min(0.3, (homeBasedTours - simulatedHomeBasedTours) / (1.0 + arrivalImpedance.TotalMinutesBefore + departureImpedance.TotalMinutesAfter)));
alternative.AddUtilityTerm(98, Math.Min(0.3, (homeBasedTours - simulatedHomeBasedTours) / (1.0 + Math.Max(arrivalImpedance.MaxMinutesBefore, departureImpedance.MaxMinutesAfter))));
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, int jHTSimulated, int genChoice, bool[,] jHTAvailable, bool[] pHTAvailable, int[][] altParticipants, int choice = Constants.DEFAULT_VALUE)
{
IEnumerable <PersonDayWrapper> orderedPersonDays = householdDay.PersonDays.OrderBy(p => p.GetJointHalfTourParticipationPriority()).ToList().Cast <PersonDayWrapper>();
// set household characteristics here that don't depend on person characteristics
int hhsize = householdDay.Household.Size;
int hhinc1 = householdDay.Household.Income <= 300000 ? 1 : 0;
int hhinc2 = (householdDay.Household.Income > 300000 && householdDay.Household.Income <= 600000) ? 1 : 0;
int hhinc3 = (householdDay.Household.Income > 600000 && householdDay.Household.Income <= 900000) ? 1 : 0;
//int hhinc4 = (householdDay.Household.Income > 900000 && householdDay.Household.Income <= 1200000) ? 1 : 0;
int hhinc4 = (householdDay.Household.Income > 900000) ? 1 : 0;
int[] pUsualLocation = new int[6];
int[] pPatternType = new int[6];
int[] pConstant = new int[6];
int[] pType9 = new int[6]; //GV
int[] pType8 = new int[6];
int[] pType7 = new int[6];
int[] pType6 = new int[6];
int[] pType5 = new int[6];
int[] pType4 = new int[6];
int[] pType3 = new int[6];
int[] pType2 = new int[6];
int[] pType1 = new int[6];
int[] pAdult = new int[6];
int[] pAdultWithChildrenUnder16 = new int[6];
int[] pAdultFemale = new int[6];
int[] pAdultNonMandatory = new int[6];
int[] pType7AgeUnder12 = new int[6];
int[] pType8Mandatory = new int[6];
int[] pType8NonMandatory = new int[6];
int[] pType7Mandatory = new int[6];
int[] pType7NonMandatory = new int[6];
int[] pType7Age12Plus = new int[6];
int[] pAgeUnder12 = new int[6];
int[] pAgeUnder16 = new int[6];
int[] pYouthMandatory = new int[6];
int[] pYouthNonMandatory = new int[6];
int[] pYouth = new int[6];
int[] pAdultMandatory = new int[6];
int[] pMandatory = new int[6];
int[] pNonMandatory = new int[6];
int count = 0;
foreach (PersonDayWrapper personDay in orderedPersonDays)
{
count++;
if (count <= 5)
{
// set characteristics here that depend on person characteristics
if (personDay.Person.IsFullOrPartTimeWorker)
{
pUsualLocation[count] = personDay.Person.UsualWorkParcelId;
}
else if (personDay.Person.IsStudent)
{
pUsualLocation[count] = personDay.Person.UsualSchoolParcelId;
}
else if (personDay.Person.IsWorker && personDay.Person.IsNotFullOrPartTimeWorker)
{
pUsualLocation[count] = personDay.Person.UsualWorkParcelId;
}
else
{
pUsualLocation[count] = Constants.DEFAULT_VALUE;
}
pPatternType[count] = personDay.PatternType;
pConstant[count] = 1;
pType9[count] = personDay.Person.IsChildUnder16.ToFlag(); // not one og Type 1 to 8
pType8[count] = personDay.Person.IsChildUnder5.ToFlag(); // All ACTUM TU persons are one of Type 1 to 8
pType7[count] = personDay.Person.IsChildAge5Through15.ToFlag();
pType6[count] = personDay.Person.IsDrivingAgeStudent.ToFlag();
pType5[count] = personDay.Person.IsUniversityStudent.ToFlag();
pType4[count] = personDay.Person.IsNonworkingAdult.ToFlag();
pType3[count] = personDay.Person.IsRetiredAdult.ToFlag();
pType2[count] = personDay.Person.IsPartTimeWorker.ToFlag();
pType1[count] = personDay.Person.IsFulltimeWorker.ToFlag();
pAdult[count] = personDay.Person.IsAdult.ToFlag();
pAdultWithChildrenUnder16[count] = (personDay.Person.IsAdult && personDay.Household.HasChildrenUnder16).ToFlag(); // THIS person is adult and HH has child. under 16
pAdultFemale[count] = personDay.Person.IsAdultFemale.ToFlag();
pAdultNonMandatory[count] = (personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pType7AgeUnder12[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age < 12).ToFlag(); // THIS person is both 5-15 AND below 12
pType7Age12Plus[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age >= 12).ToFlag();
pAgeUnder12[count] = (personDay.Person.Age < 12).ToFlag();
pAgeUnder16[count] = (personDay.Person.Age < 16).ToFlag();
pType8Mandatory[count] = (personDay.Person.IsChildUnder5 && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pType8NonMandatory[count] = (personDay.Person.IsChildUnder5 && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pType7Mandatory[count] = (personDay.Person.IsChildAge5Through15 && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pType7NonMandatory[count] = (personDay.Person.IsChildAge5Through15 && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pYouthMandatory[count] = (!personDay.Person.IsChildUnder5 && !personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pYouthNonMandatory[count] = (!personDay.Person.IsChildUnder5 && !personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pYouth[count] = (!personDay.Person.IsChildUnder5 && !personDay.Person.IsAdult).ToFlag();
pAdultMandatory[count] = (personDay.Person.IsAdult && personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pNonMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
}
}
int componentIndex = 0;
//Create person utility components
int[] componentPerson = new int[6];
for (int p = 1; p <= 5; p++)
{
// create component for basic person-purposes
componentIndex++;
componentPerson[p] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentPerson[p]);
// these are dummies compared to base one, i.e. Type 5+6 in one.
// OBS! - We apply "Adult Mandatory" as the base
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(1, pAdultMandatory[p]); // impact of adult with mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(2, pAdultNonMandatory[p]); // impact of adult with non-mandatory travel
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(3, pType8Mandatory[p]); // impact of child under 5 with mandatory travel
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(4, pType8NonMandatory[p]); // impact of child under 5 with non-mandatory travel
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(04, pYouthMandatory[p]); // impact of youth with mandatory travel
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(05, pYouthNonMandatory[p]); // impact of youth with non-mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(5, pType7Mandatory[p]); // impact of Child5-16 with mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(6, pType7NonMandatory[p]); // impact of Child5-16 with non-mandatory travel
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(7, pAdultFemale[p]); //female
}
//create two-way match interaction utility components
int[,] componentMatch = new int[6, 6];
int[,] iMatchAgeUnder12 = new int[6, 6];
int[,] iMatchAgeUnder16 = new int[6, 6];
int[,] iMatchAgeUnder5 = new int[6, 6];
int[,] iMatchAge5to16 = new int[6, 6];
int[,] iMatchAdult = new int[6, 6];
int[,] iMatchAdultWithChildrenUnder16 = new int[6, 6];
int[,] iMatchAdultWithChildrenUnder5 = new int[6, 6];
int[,] iMatchAdultMandatory = new int[6, 6];
int[,] iMatchAdultNonMandatory = new int[6, 6];
int[,] iMatchMandatory = new int[6, 6];
int[,] iMatchNonMandatory = new int[6, 6];
int[,] iMatchAdultMandatoryAndAdultMandatory = new int[6, 6];
int[,] iMatchAdultNonMandatoryAndAdultNonMandatory = new int[6, 6];
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
// iMatch joints only persons of the same type
// lets the base alt, be adult*adult
iMatchAgeUnder12[t1, t2] = pAgeUnder12[t1] * pAgeUnder12[t2]; // children under 12
iMatchAgeUnder16[t1, t2] = pAgeUnder16[t1] * pAgeUnder16[t2]; // children under 16
iMatchAgeUnder5[t1, t2] = pType8[t1] * pType8[t2]; // children under 5
iMatchAge5to16[t1, t2] = pType7[t1] * pType7[t2]; // children 5 to 16
iMatchAdult[t1, t2] = pAdult[t1] * pAdult[t2]; // two adults (very important but difficult to understand)
iMatchAdultMandatory[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2]; // two adults with mandatory travel
iMatchAdultNonMandatory[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2]; // two adults with non-mandatory travel
iMatchMandatory[t1, t2] = pMandatory[t1] * pMandatory[t2]; //those with mandatory
iMatchNonMandatory[t1, t2] = pNonMandatory[t1] * pNonMandatory[t2]; //those tith non-mandatory
//iMatchAdultWithChildrenUnder16[t1, t2] = pAdultWithChildrenUnder16[t1] * pAdultWithChildrenUnder16[t2];
iMatchAdultWithChildrenUnder16[t1, t2] = pAdult[t1] * pType7[t2]; //adult plus child 5-16
iMatchAdultWithChildrenUnder5[t1, t2] = pAdult[t1] * pType8[t2]; //adult plus child5
iMatchAdultMandatoryAndAdultMandatory[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2]; //2 adults with Mandatory
iMatchAdultNonMandatoryAndAdultNonMandatory[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2]; //2 adults with Mandatory
//create and populate components
// OBS! - We apply "Adult * Adult" as the base
componentIndex++;
componentMatch[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentMatch[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(21, iMatchAgeUnder5[t1, t2]); //GV; goes to infinity
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(22, iMatchAge5to16[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(24, iMatchAdultNonMandatoryAndAdultNonMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(23, iMatchAdult[t1, t2]); //base alt.
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(24, iMatchAdultMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(25, iMatchAdultNonMandatory[t1, t2]);
// commented out 22nd, but they work well
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(26, iMatchMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(27, iMatchNonMandatory[t1, t2]);
}
}
//create two-way cross interaction utility components
int[,] componentCross = new int[6, 6];
int[,] iCrossAgeUnderTwelveAndAdult = new int[6, 6];
int[,] iCrossAgeUnderTwelveAndAdultNonMandatory = new int[6, 6];
int[,] iCrossAdultWithChildUnder5 = new int[6, 6];
int[,] iCrossAdultWithChild5to16 = new int[6, 6];
int[,] iCrossAdultFemaleWithChildUnder5 = new int[6, 6];
int[,] iCrossAdultFemaleWithChild5to16 = new int[6, 6];
int[,] iCrossAdultMandatoryAndAdultNonMandatory = new int[6, 6];
int[,] iCrossAdultMandatoryAndAdultMandatory = new int[6, 6];
int[,] iCrossAdultNonMandatoryAndAdultNonMandatory = new int[6, 6];
int[,] iCrossYouthAndChildUnder5 = new int[6, 6];
int[,] iCrossChild5to16AndChildUnder5 = new int[6, 6];
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
//populate cross variables
// again, one is base, all others are dummies
iCrossAdultWithChildUnder5[t1, t2] = pAdult[t1] * pType8[t2]; //adult plus child5
iCrossAdultWithChild5to16[t1, t2] = pAdult[t1] * pType7[t2]; //adult plus child 5-16
iCrossAdultFemaleWithChildUnder5[t1, t2] = pAdultFemale[t1] * pType8[t2]; //adult mom plus child5
iCrossAdultFemaleWithChild5to16[t1, t2] = pAdult[t1] * pType7[t2]; //adult mom plus child 5-16
iCrossAgeUnderTwelveAndAdult[t1, t2] = pAgeUnder12[t1] * pAdult[t2];
iCrossAgeUnderTwelveAndAdultNonMandatory[t1, t2] = pAgeUnder12[t1] * pAdultNonMandatory[t2];
iCrossAdultMandatoryAndAdultNonMandatory[t1, t2] = pAdultMandatory[t1] * pAdultNonMandatory[t2];
iCrossAdultMandatoryAndAdultMandatory[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2];
iCrossAdultNonMandatoryAndAdultNonMandatory[t1, t2] = pAdultNonMandatory[t1] * pAdultNonMandatory[t2];
iCrossYouthAndChildUnder5[t1, t2] = pYouth[t1] * pType8[t2];
iCrossChild5to16AndChildUnder5[t1, t2] = pType7[t1] * pType8[t2];
//create and populate cross components
// OBS! - We apply "Adult Mandatory * Adult Non-mandatory" as the base
componentIndex++;
componentCross[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentCross[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(41, iCrossAdultWithChildUnder5[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(42, iCrossAdultWithChild5to16[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(43, iCrossAdultMandatoryAndAdultNonMandatory[t1, t2]); //base alt.
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(46, iCrossAdultFemaleWithChildUnder5[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(47, iCrossYouthAndChildUnder5[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(47, iCrossChild5to16AndChildUnder5[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(45, iCrossAdultFemaleWithChild5to16[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(41, iCrossAgeUnderTwelveAndAdult[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(42, iCrossAgeUnderTwelveAndAdultNonMandatory[t1, t2]);
}
}
}
//Generate utility funtions for the alternatives
bool[] available = new bool[32];
bool[] chosen = new bool[32];
bool[] threeParticipants = new bool[32];
bool[] fourPlusParticipants = new bool[32];
for (int alt = 0; alt < 32; alt++)
{
available[alt] = false;
chosen[alt] = false;
// set availability based on household size
if (hhsize >= altParticipants[alt][6])
{
available[alt] = true;
}
// restrict availability based on person unavailability
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && (jHTAvailable[genChoice - 1, i] == false || pHTAvailable[i] == false))
{
available[alt] = false;
}
}
// restrict availability if nobody is an adult
bool altHasAdult = false;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && pAdult[i] > 0)
{
altHasAdult = true;
}
}
if (!altHasAdult)
{
available[alt] = false;
}
// restrict availability if anybody has nonMandatory pattern type
bool altHasNonMandatoryPatternType = false;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && !(pPatternType[i] == Global.Settings.PatternTypes.Mandatory))
{
altHasNonMandatoryPatternType = true;
}
}
if (altHasNonMandatoryPatternType)
{
available[alt] = false;
}
// restrict availability of alts that include less than 2 participants
if (altParticipants[alt][7] < 2)
{
available[alt] = false;
}
// determine choice
if (choice == alt)
{
chosen[alt] = true;
}
//Get the alternative
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alt, available[alt], chosen[alt]);
alternative.Choice = alt;
//Add utility terms that are not in components
//alternative.AddUtilityTerm(399, 0);
// OBS!!! This is new - 21nd January 2013 - it sais that these tris are less expected to be done with 3 or 4+ persons (compared to to people)
//alternative.AddUtilityTerm(59, altParticipants[alt][7] >= 3 ? 1 : 0); //GV;; no observations, 18. april 2013
//alternative.AddUtilityTerm(60, altParticipants[alt][7] >= 4 ? 1 : 0); //no observations for 4+ HHsize
//Add utility components
for (int p = 1; p <= 5; p++)
{
if (altParticipants[alt][p] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]));
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]));
}
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]));
}
}
}
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, int jHTSimulated, int genChoice, bool[,] jHTAvailable, bool[] fHTAvailable, int[][] altParticipants, int choice = Constants.DEFAULT_VALUE)
{
IEnumerable <PersonDayWrapper> orderedPersonDays = householdDay.PersonDays.OrderBy(p => p.GetJointHalfTourParticipationPriority()).ToList().Cast <PersonDayWrapper>();
int pairedHalfTour = genChoice == 1 ? 1 : 0;
int firstHalfTour = genChoice == 2 ? 1 : 0;
int secondHalfTour = genChoice == 3 ? 1 : 0;
// set household characteristics here that don't depend on person characteristics
int carOwnership =
householdDay.Household.VehiclesAvailable == 0
? Global.Settings.CarOwnerships.NoCars
: householdDay.Household.VehiclesAvailable < householdDay.Household.HouseholdTotals.DrivingAgeMembers
? Global.Settings.CarOwnerships.LtOneCarPerAdult
: Global.Settings.CarOwnerships.OneOrMoreCarsPerAdult;
int hhsize = householdDay.Household.Size;
int noCarsFlag = FlagUtility.GetNoCarsFlag(carOwnership);
int carCompetitionFlag = FlagUtility.GetCarCompetitionFlag(carOwnership);
int votALSegment = householdDay.Household.GetVotALSegment();
int transitAccessSegment = householdDay.Household.ResidenceParcel.TransitAccessSegment();
double totalAggregateLogsum = Global.AggregateLogsums[householdDay.Household.ResidenceParcel.ZoneId]
[Global.Settings.Purposes.HomeBasedComposite][carOwnership][votALSegment][transitAccessSegment];
IPersonDayWrapper pPersonDay = null;
IParcelWrapper[] pUsualLocation = new IParcelWrapper[6];
int[] pUsualLocationId = new int[6];
int[] pPatternType = new int[6];
int[] pConstant = new int[6];
int[,] pType = new int[9, 6];
int[] pAdult = new int[6];
int[] pChild = new int[6];
int[] pAge = new int[6];
int[] pAdultFemale = new int[6];
int[] pAdultMandatory = new int[6];
int[] pNonMandatory = new int[6];
int[] pFemaleNonMandatory = new int[6];
int[] pAdultWithChildrenUnder16 = new int[6];
int[] pType7AgeUnder12 = new int[6];
int[] pType7Age12Plus = new int[6];
int[] pAgeUnder13 = new int[6];
int[] pAge5To8 = new int[6];
int[] pAge9To12 = new int[6];
int[] pAge13To15 = new int[6];
int[] pTransitAdult = new int[6];
int[] pTransitChild = new int[6];
int[] pDrivingAge = new int[6];
bool[] pHasMandatoryTourToUsualLocation = new bool[6];
bool[] pIsDrivingAge = new bool[6];
int count = 0;
foreach (PersonDayWrapper personDay in orderedPersonDays)
{
count++;
if (count <= 5)
{
if (count == 1)
{
pPersonDay = personDay;
}
// set characteristics here that depend on person characteristics
if (personDay.Person.IsFullOrPartTimeWorker && personDay.Person.UsualWorkParcel != null)
{
pUsualLocation[count] = personDay.Person.UsualWorkParcel;
}
else if (personDay.Person.IsStudent && personDay.Person.UsualSchoolParcel != null)
{
pUsualLocation[count] = personDay.Person.UsualSchoolParcel;
}
else if (personDay.Person.IsWorker && personDay.Person.IsNotFullOrPartTimeWorker && personDay.Person.UsualWorkParcel != null)
{
pUsualLocation[count] = personDay.Person.UsualWorkParcel;
}
else
{
pUsualLocation[count] = personDay.Household.ResidenceParcel;
}
for (int i = 1; i < 9; i++)
{
pType[personDay.Person.PersonType, count] = 1;
}
pPatternType[count] = personDay.PatternType;
pConstant[count] = 1;
pAdult[count] = personDay.Person.IsAdult.ToFlag();
pChild[count] = (!(personDay.Person.IsAdult)).ToFlag();
pAdultWithChildrenUnder16[count] = (personDay.Person.IsAdult && personDay.Household.HasChildrenUnder16).ToFlag();
pAdultFemale[count] = personDay.Person.IsAdultFemale.ToFlag();
pAdultMandatory[count] = personDay.Person.IsAdult.ToFlag() * (personDay.PatternType == Global.Settings.PatternTypes.Mandatory).ToFlag();
pNonMandatory[count] = (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pFemaleNonMandatory[count] = personDay.Person.IsAdultFemale.ToFlag() * (personDay.PatternType == Global.Settings.PatternTypes.Optional).ToFlag();
pType7AgeUnder12[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age < 12).ToFlag();
pType7Age12Plus[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age >= 12).ToFlag();
pAgeUnder13[count] = (personDay.Person.Age < 13).ToFlag();
pAge5To8[count] = (personDay.Person.Age >= 5 && personDay.Person.Age <= 8).ToFlag();
pAge9To12[count] = (personDay.Person.Age >= 9 && personDay.Person.Age <= 12).ToFlag();
pAge13To15[count] = (personDay.Person.Age >= 13 && personDay.Person.Age <= 15).ToFlag();
pTransitAdult[count] = (personDay.Person.TransitPassOwnership == 1 ? 1 : 0) * (personDay.Person.IsAdult.ToFlag());
pTransitChild[count] = (personDay.Person.TransitPassOwnership == 1 ? 1 : 0) * ((!personDay.Person.IsAdult).ToFlag());
pDrivingAge[count] = personDay.Person.IsDrivingAge.ToFlag();
pHasMandatoryTourToUsualLocation[count] = personDay.HasMandatoryTourToUsualLocation;
pIsDrivingAge[count] = personDay.Person.IsDrivingAge;
}
}
int componentIndex = 0;
//Create person utility components
int[] componentPerson = new int[6];
for (int p = 1; p <= 5; p++)
{
// create component for basic person-purposes
componentIndex++;
componentPerson[p] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentPerson[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(01, pType[1, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(02, pType[2, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(03, pType[3, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(04, pType[4, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(05, pType[5, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(06, pType[6, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(07, pType[7, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(08, pType[8, p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(09, pAge5To8[p]);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(10, pAge9To12[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(11, pAdultFemale[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(12, pNonMandatory[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(13, pFemaleNonMandatory[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(14, pTransitAdult[p]);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(15, pTransitChild[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(21, pType[1, p] * secondHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(22, pType[2, p] * secondHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(23, pType[3, p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(24, pType[4, p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(25, pType[5, p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(26, pType[6, p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(27, pType[7, p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(28, pType[8, p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(29, pAge5To8[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(30, pAge9To12[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(31, pAdultFemale[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(32, pNonMandatory[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(33, pFemaleNonMandatory[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(34, pTransitAdult[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(35, pTransitChild[p] * secondHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(41, pType[1, p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(42, pType[2, p] * pairedHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(43, pType[3, p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(44, pType[4, p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(45, pType[5, p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(46, pType[6, p] * pairedHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(47, pType[7, p] * pairedHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(48, pType[8, p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(49, pAge5To8[p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(50, pAge9To12[p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(51, pAdultFemale[p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(52, pNonMandatory[p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(53, pFemaleNonMandatory[p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(54, pTransitAdult[p] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(55, pTransitChild[p] * pairedHalfTour);
}
//create two-way match interaction utility components
int[,] componentMatch = new int[6, 6];
int[,] iMatchAgeUnder13 = new int[6, 6];
int[,] iMatchAdult = new int[6, 6];
int[,] iMatchAdultWithChildrenUnder16 = new int[6, 6];
int[,] iMatchMandatoryAdults = new int[6, 6];
int[,] iMatchChild = new int[6, 6];
int[,] iMatchNonMandatory = new int[6, 6];
int[,] iMatchAdultsCarDeficit = new int[6, 6];
int[,] iMatchAdultCountAtHome = new int[6, 6];
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
//populate match variables
iMatchAgeUnder13[t1, t2] = pAgeUnder13[t1] * pAgeUnder13[t2];
iMatchAdult[t1, t2] = pAdult[t1] * pAdult[t2];
iMatchAdultWithChildrenUnder16[t1, t2] = pAdultWithChildrenUnder16[t1] * pAdultWithChildrenUnder16[t2];
iMatchMandatoryAdults[t1, t2] = pAdultMandatory[t1] * pAdultMandatory[t2];
iMatchChild[t1, t2] = (1 - pAdult[t1]) * (1 - pAdult[t2]);
iMatchNonMandatory[t1, t2] = pNonMandatory[t1] * pNonMandatory[t2];
iMatchAdultsCarDeficit[t1, t2] = pAdult[t1] * pAdult[t2] * (carCompetitionFlag + noCarsFlag);
//create and populate components
componentIndex++;
componentMatch[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentMatch[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(61, iMatchAgeUnder13[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(62, iMatchAdult[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(63, iMatchMandatoryAdults[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(64, iMatchNonMandatory[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(65, iMatchAdultWithChildrenUnder16[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(66, iMatchChild[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(67, iMatchAdultsCarDeficit[t1, t2]);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(71, iMatchAgeUnder13[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(72, iMatchAdult[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(73, iMatchMandatoryAdults[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(74, iMatchNonMandatory[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(75, iMatchAdultWithChildrenUnder16[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(76, iMatchChild[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(77, iMatchAdultsCarDeficit[t1, t2] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(81, iMatchAgeUnder13[t1, t2] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(82, iMatchAdult[t1, t2] * pairedHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(83, iMatchMandatoryAdults[t1, t2] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(84, iMatchNonMandatory[t1, t2] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(85, iMatchAdultWithChildrenUnder16[t1, t2] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(86, iMatchChild[t1, t2] * pairedHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(87, iMatchAdultsCarDeficit[t1, t2] * pairedHalfTour);
}
}
//create two-way cross interaction utility components
int[,] componentCross = new int[6, 6];
int iCrossAgeUnder5AndNonMandatory;
int iCrossAge5To12AndNonMandatory;
int iCrossAge13To15AndNonMandatory;
int iCrossDrivingAgeChildAndNonMandatory;
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
//populate cross variables
iCrossAge5To12AndNonMandatory = pNonMandatory[t1] * (pAge5To8[t2] + pAge9To12[t2]);
iCrossAgeUnder5AndNonMandatory = pNonMandatory[t1] * pType[8, t2];
iCrossAge13To15AndNonMandatory = pNonMandatory[t1] * pAge13To15[t2];
iCrossDrivingAgeChildAndNonMandatory = pNonMandatory[t1] * pType[6, t2];
//create and populate cross components
componentIndex++;
componentCross[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentCross[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(91, iCrossAgeUnder5AndNonMandatory);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(92, iCrossAge5To12AndNonMandatory);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(93, iCrossAge13To15AndNonMandatory);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(94, iCrossDrivingAgeChildAndNonMandatory);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(95, iCrossAgeUnder5AndNonMandatory * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(96, iCrossAgeUnder5AndNonMandatory * pairedHalfTour);
}
}
}
//Generate utility funtions for the alternatives
bool[] available = new bool[32];
bool[] chosen = new bool[32];
int numberOfParticipants;
int workersParticipating;
int numberOfParticipatingChildren;
int numberOfParticipatingAdults;
int numberOfAvailableChildren;
int numberOfAvailablePersons;
int numberOfAvailableAdults;
for (int alt = 0; alt < 32; alt++)
{
available[alt] = false;
chosen[alt] = false;
// set availability based on household size
if (hhsize >= altParticipants[alt][6])
{
available[alt] = true;
}
// restrict availability based on person unavailability
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && (jHTAvailable[genChoice - 1, i] == false || fHTAvailable[i] == false))
{
available[alt] = false;
}
}
// restrict availability to cases where all non-driving age participants have same usual location
// first determine first non-adult's usual location
IParcelWrapper sameUsualLocation = householdDay.Household.ResidenceParcel;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && pPatternType[i] == 1 && pUsualLocation[i].Id > 0 && !(pDrivingAge[i] == 1))
{
sameUsualLocation = pUsualLocation[i];
break;
}
}
// then make alt unavailable if any M-Usual participant has a different usualLocation
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && pHasMandatoryTourToUsualLocation[i] && !(pUsualLocation[i].Id == sameUsualLocation.Id) && !(pDrivingAge[i] == 1))
{
available[alt] = false;
break;
}
}
// restrict availability of alts that include less than 2 participants
if (altParticipants[alt][7] < 2)
{
available[alt] = false;
}
// restrict availability if 2+ participants lack tour to usual location
int numberLackMandatoryTourToUsualLocation = 0;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && !pHasMandatoryTourToUsualLocation[i])
{
numberLackMandatoryTourToUsualLocation++;
}
}
if (numberLackMandatoryTourToUsualLocation > 1)
{
available[alt] = false;
}
//JLB 20140404 remove the drivign age requirement because children can walk, bik or take bus to/from school without an adult.
// require at least one driving age (as chauffeur)
//int numberDrivingAge = 0;
//for (int i = 1; i <= 5; i++) {
// if (altParticipants[alt][i] == 1 && pIsDrivingAge[i]) {
// numberDrivingAge++;
// }
//}
//if (numberDrivingAge == 0) {
// available[alt] = false;
//}
// Generate alt-specific variables
numberOfParticipants = 0;
workersParticipating = 0;
numberOfParticipatingChildren = 0;
numberOfParticipatingAdults = 0;
numberOfAvailableChildren = 0;
numberOfAvailablePersons = 0;
numberOfAvailableAdults = 0;
if (available[alt] == true)
{
for (int i = 1; i <= 5; i++)
{
if (pChild[i] == 1 && pUsualLocation[i].Id == sameUsualLocation.Id)
{
numberOfAvailableChildren++;
numberOfAvailablePersons++;
}
if (pAdult[i] == 1 && (pPatternType[i] == Global.Settings.PatternTypes.Optional || pUsualLocation[i].Id == sameUsualLocation.Id))
{
numberOfAvailableChildren++;
numberOfAvailableAdults++;
}
if (altParticipants[alt][i] == 1)
{
numberOfParticipants++;
if (pType[0, i] == 1 || pType[1, i] == 1)
{
workersParticipating++;
}
if (pAdult[i] == 1)
{
numberOfParticipatingAdults++;
}
if (pChild[i] == 1)
{
numberOfParticipatingChildren++;
}
}
}
}
double tourLogsum = 0;
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.WorkTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.WorkTourModeModel);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <WorkTourModeTimeModel>().RunNested(pPersonDay, pPersonDay.Household.ResidenceParcel, sameUsualLocation, destinationArrivalTime, destinationDepartureTime, pPersonDay.Household.VehiclesAvailable);
tourLogsum = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
// determine choice
if (choice == alt)
{
chosen[alt] = true;
}
//Get the alternative
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alt, available[alt], chosen[alt]);
alternative.Choice = alt;
//Add alt-specific utility terms
alternative.AddUtilityTerm(101, (numberOfParticipatingAdults > 1 && numberOfParticipatingChildren > 0) ? 1 : 0);
alternative.AddUtilityTerm(102, (numberOfParticipatingChildren < numberOfAvailableChildren) ? 1 : 0);
alternative.AddUtilityTerm(103, (numberOfParticipatingAdults == 0) ? 1 : 0);
//alternative.AddUtilityTerm(104, (numberOfParticipants < numberOfAvailablePersons) ? 1 : 0);
alternative.AddUtilityTerm(105, tourLogsum);
//alternative.AddUtilityTerm(105, ((numberOfParticipatingAdults > 1 && numberOfParticipatingChildren > 0) ? 1 : 0) * secondHalfTour);
//alternative.AddUtilityTerm(106, ((numberOfParticipatingAdults > 1 && numberOfParticipatingChildren > 0) ? 1 : 0) * pairedHalfTour);
//Add utility components
for (int p = 1; p <= 5; p++)
{
if (altParticipants[alt][p] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]));
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]));
}
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]));
}
}
}
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, int choice = Constants.DEFAULT_VALUE)
{
Framework.DomainModels.Wrappers.IHouseholdWrapper household = householdDay.Household;
Framework.DomainModels.Wrappers.IParcelWrapper residenceParcel = household.ResidenceParcel;
// set household characteristics here that don't depend on person characteristics
int hasAdultEducLevel12 = 0;
int youngestAge = 999;
double firstWorkLogsum = 0;
double secondWorkLogsum = 0;
bool firstWorkLogsumIsSet = false;
bool secondWorkLogsumIsSet = false;
int numberWorkers = 0;
int numberAdults = 0;
int numberChildren = 0;
int numberChildrenUnder5 = 0;
// set characteristics here that depend on person characteristics
foreach (PersonDayWrapper personDay in householdDay.PersonDays)
{
double workLogsum = 0;
PersonWrapper person = (PersonWrapper)personDay.Person;
if (person.UsualWorkParcel == null || person.UsualWorkParcelId == household.ResidenceParcelId ||
(person.PersonType != Global.Settings.PersonTypes.FullTimeWorker &&
person.PersonType != Global.Settings.PersonTypes.PartTimeWorker))
// || household.VehiclesAvailable == 0)
{
}
else
{
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.WorkTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.WorkTourModeModel);
//JLB 201406
//var nestedAlternative = Global.ChoiceModelSession.Get<WorkTourModeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
//JLB 201602
//var nestedAlternative = Global.ChoiceModelSession.Get<TourModeTimeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <TourModeTimeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable, Global.Settings.Purposes.Work);
workLogsum = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
}
//if (person.Age >= 18 && person.EducationLevel >= 12) {
// hasAdultEducLevel12 = 1;
//}
//if (person.Age >= 18 && person.EducationLevel < 12) {
//}
if (person.Age < youngestAge)
{
youngestAge = person.Age;
}
if (workLogsum != 0 && !firstWorkLogsumIsSet)
{
firstWorkLogsum = workLogsum;
firstWorkLogsumIsSet = true;
}
else if (workLogsum != 0 && !secondWorkLogsumIsSet)
{
secondWorkLogsum = workLogsum;
secondWorkLogsumIsSet = true;
}
if (person.Age >= 18)
{
numberAdults++;
if (person.PersonType == Global.Settings.PersonTypes.FullTimeWorker
//|| person.PersonType == Constants.PersonType.PART_TIME_WORKER
)
{
numberWorkers++;
}
}
else
{
numberChildren++;
if (person.PersonType == Global.Settings.PersonTypes.ChildUnder5)
{
numberChildrenUnder5++;
}
}
}
bool singleWorkerWithChildUnder5 = (numberAdults == numberWorkers && numberAdults == 1 &&
numberChildrenUnder5 > 0) ? true : false;
bool workingCoupleNoChildren = (numberAdults == numberWorkers && numberAdults == 2 &&
numberChildren == 0) ? true : false;
bool workingCoupleAllChildrenUnder5 = (numberAdults == numberWorkers && numberAdults == 2 &&
numberChildren > 0 && numberChildren == numberChildrenUnder5) ? true : false;
bool otherHouseholdWithPTFTWorkers = false;
if (!workingCoupleNoChildren && !workingCoupleAllChildrenUnder5 && firstWorkLogsum != 0)
{
otherHouseholdWithPTFTWorkers = true;
}
if (!workingCoupleNoChildren && !workingCoupleAllChildrenUnder5 && !otherHouseholdWithPTFTWorkers)
{
}
// var votSegment = household.VotALSegment;
//var taSegment = household.ResidenceParcel.TransitAccessSegment();
//var aggregateLogsumDifference = // full car ownership vs. no car ownership
// Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.HomeBasedComposite][Global.Settings.CarOwnerships.OneOrMoreCarsPerAdult][votSegment][taSegment] -
// Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.HomeBasedComposite][Global.Settings.CarOwnerships.NoCars][votSegment][taSegment];
//var householdDay = (ActumHouseholdDayWrapper)tour.HouseholdDay;
int carOwnership =
household.VehiclesAvailable == 0
? Global.Settings.CarOwnerships.NoCars
: household.VehiclesAvailable < household.HouseholdTotals.DrivingAgeMembers
? Global.Settings.CarOwnerships.LtOneCarPerAdult
: Global.Settings.CarOwnerships.OneOrMoreCarsPerAdult;
int noCarsFlag = FlagUtility.GetNoCarsFlag(carOwnership);
int carCompetitionFlag = FlagUtility.GetCarCompetitionFlag(carOwnership);
int votALSegment = Global.Settings.VotALSegments.Medium; // TODO: calculate a VOT segment that depends on household income
int transitAccessSegment = household.ResidenceParcel.TransitAccessSegment();
double personalBusinessAggregateLogsum = Global.AggregateLogsums[household.ResidenceParcel.ZoneId]
[Global.Settings.Purposes.PersonalBusiness][carOwnership][votALSegment][transitAccessSegment];
double shoppingAggregateLogsum = Global.AggregateLogsums[household.ResidenceParcel.ZoneId]
[Global.Settings.Purposes.Shopping][carOwnership][votALSegment][transitAccessSegment];
double mealAggregateLogsum = Global.AggregateLogsums[household.ResidenceParcel.ZoneId]
[Global.Settings.Purposes.Meal][carOwnership][votALSegment][transitAccessSegment];
double socialAggregateLogsum = Global.AggregateLogsums[household.ResidenceParcel.ZoneId]
[Global.Settings.Purposes.Social][carOwnership][votALSegment][transitAccessSegment];
//var compositeLogsum = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votALSegment][transitAccessSegment];
double compositeLogsum = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.HomeBasedComposite][Global.Settings.CarOwnerships.NoCars][votALSegment][transitAccessSegment];
int componentIndex = 0;
for (int pfpt = 0; pfpt < 2; pfpt++)
{
if (pfpt == 1)
{
componentIndex = 1;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component pfptComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
pfptComponent.AddUtilityTerm(1, (householdDay.Household.Size == 3).ToFlag());
pfptComponent.AddUtilityTerm(2, (householdDay.Household.Size >= 4).ToFlag());
pfptComponent.AddUtilityTerm(3, householdDay.Household.HasChildrenUnder5.ToFlag());
pfptComponent.AddUtilityTerm(4, (householdDay.AdultsInSharedHomeStay == 1 && householdDay.Household.HasChildrenAge5Through15).ToFlag());
pfptComponent.AddUtilityTerm(5, (householdDay.AdultsInSharedHomeStay == 2 && householdDay.Household.HouseholdTotals.FullAndPartTimeWorkers >= 2).ToFlag());
pfptComponent.AddUtilityTerm(6, (householdDay.AdultsInSharedHomeStay == 2 && hasAdultEducLevel12 == 1).ToFlag());
pfptComponent.AddUtilityTerm(7, (householdDay.Household.VehiclesAvailable == 1 && household.Has2Drivers).ToFlag());
pfptComponent.AddUtilityTerm(8, (householdDay.Household.VehiclesAvailable >= 2 && household.Has2Drivers).ToFlag());
pfptComponent.AddUtilityTerm(11, (householdDay.Household.Income >= 300000 && householdDay.Household.Income < 600000).ToFlag());
pfptComponent.AddUtilityTerm(12, (householdDay.Household.Income >= 600000 && householdDay.Household.Income < 900000).ToFlag());
pfptComponent.AddUtilityTerm(13, (householdDay.Household.Income >= 900000).ToFlag());
// OBS; 27. aug., work tour mode logsum does not work - see what happens in the old PFPT model
// GV, sep. 1st - it is not significant
pfptComponent.AddUtilityTerm(15, (firstWorkLogsum + secondWorkLogsum) *
(workingCoupleNoChildren || workingCoupleAllChildrenUnder5).ToFlag());
pfptComponent.AddUtilityTerm(15, (firstWorkLogsum + secondWorkLogsum) * otherHouseholdWithPTFTWorkers.ToFlag());
// dette er gamle at-work logsum - it should be plus and significant
//alternative.AddUtilityTerm(31, (firstWorkLogsum + secondWorkLogsum) *
//(workingCoupleNoChildren || workingCoupleAllChildrenUnder5).ToFlag());
//alternative.AddUtilityTerm(31, (firstWorkLogsum + secondWorkLogsum) * otherHouseholdWithPTFTWorkers.ToFlag());
// at-home logsum works
pfptComponent.AddUtilityTerm(16, compositeLogsum);
//pfpt constant
pfptComponent.AddUtilityTerm(51, 1);
}
}
for (int jointTourFlag = 0; jointTourFlag < 2; jointTourFlag++)
{
if (jointTourFlag == 1)
{
componentIndex = 2;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component jointComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
jointComponent.AddUtilityTerm(21, (householdDay.Household.Size == 3).ToFlag());
jointComponent.AddUtilityTerm(22, (householdDay.Household.Size >= 4).ToFlag());
// GV: 1st sep.
//jointComponent.AddUtilityTerm(23, (householdDay.Household.Size == 2 && householdDay.Household.HasChildren).ToFlag());
//jointComponent.AddUtilityTerm(23, (householdDay.Household.Size >= 2 && householdDay.Household.HasChildren).ToFlag());
jointComponent.AddUtilityTerm(23, (householdDay.Household.HasChildren).ToFlag());
//jointComponent.AddUtilityTerm(21, householdDay.Household.HasChildrenUnder5.ToFlag());
//jointComponent.AddUtilityTerm(22, householdDay.Household.HasChildrenAge5Through15.ToFlag());
//jointComponent.AddUtilityTerm(23, householdDay.Household.HasChildren.ToFlag());
jointComponent.AddUtilityTerm(24, (householdDay.Household.Size == 2 && householdDay.AdultsInSharedHomeStay == 2).ToFlag());
//jointComponent.AddUtilityTerm(25, (householdDay.AdultsInSharedHomeStay == 2 && householdDay.Household.HouseholdTotals.FullAndPartTimeWorkers >= 2).ToFlag());
jointComponent.AddUtilityTerm(26, (householdDay.AdultsInSharedHomeStay == 2 && hasAdultEducLevel12 == 1).ToFlag());
//jointComponent.AddUtilityTerm(27, (householdDay.Household.Size == 2 && householdDay.Household.HasChildrenUnder5).ToFlag());
//jointComponent.AddUtilityTerm(28, (householdDay.Household.Size == 2 && householdDay.Household.HasChildrenAge5Through15).ToFlag());
//jointComponent.AddUtilityTerm(27, (householdDay.Household.Size == 2 && householdDay.Household.HasChildrenUnder16).ToFlag());
jointComponent.AddUtilityTerm(29, (householdDay.AdultsInSharedHomeStay == 1 && householdDay.Household.HasChildrenUnder16).ToFlag());
//jointComponent.AddUtilityTerm(37, (householdDay.Household.VehiclesAvailable == 1 && household.Has2Drivers).ToFlag());
//jointComponent.AddUtilityTerm(38, (householdDay.Household.VehiclesAvailable >= 2 && household.Has2Drivers).ToFlag());
jointComponent.AddUtilityTerm(30, (householdDay.Household.VehiclesAvailable >= 1 && household.Has2Drivers).ToFlag());
jointComponent.AddUtilityTerm(31, (householdDay.Household.Income >= 300000 && householdDay.Household.Income < 600000).ToFlag());
jointComponent.AddUtilityTerm(32, (householdDay.Household.Income >= 600000 && householdDay.Household.Income < 900000).ToFlag());
jointComponent.AddUtilityTerm(33, (householdDay.Household.Income >= 900000).ToFlag());
// GV, sep. 1st - it is not significant
//jointComponent.AddUtilityTerm(41, compositeLogsum);
// joint non-mandatory tour constant
jointComponent.AddUtilityTerm(61, 1);
}
}
bool available = true;
for (int pfpt = 0; pfpt < 2; pfpt++)
{
for (int jointTourFlag = 0; jointTourFlag < 2; jointTourFlag++)
{
int altIndex = pfpt + jointTourFlag * 2;
if (household.Size < 2 && altIndex > 0)
{
available = false;
}
else
{
available = true;
}
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(altIndex, available, choice == altIndex);
alternative.Choice = altIndex;
//NESTING WAS REJECTED BY TESTS
//GV: PFPT on top - cannot be estimated
//alternative.AddNestedAlternative(5 + pfpt, pfpt, THETA_PARAMETER);
//alternative.AddNestedAlternative(5 + jointTourFlag, jointTourFlag, THETA_PARAMETER); //jointTourFlag on top
if (pfpt == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(1));
//alternative.AddUtilityTerm(20, 1);
}
if (jointTourFlag == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(2));
//alternative.AddUtilityTerm(40, 1);
}
if (pfpt == 1 && jointTourFlag == 1)
{
alternative.AddUtilityTerm(71, 1);
//alternative.AddUtilityTerm(72, (householdDay.Household.Size == 2 && householdDay.AdultsInSharedHomeStay == 2).ToFlag());
// GV: comented out sep. 1st
//GV: coeff. 73 is with a wrong sign - 13. june 2016
//alternative.AddUtilityTerm(73, householdDay.Household.HasChildren.ToFlag());
//alternative.AddUtilityTerm(74, householdDay.Household.HasChildrenUnder16.ToFlag());
}
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, TourWrapper tour,
IParcelWrapper destinationParcel, int householdCars,
int constrainedMode, int constrainedArrivalTime, int constrainedDepartureTime, HTourModeTime choice = null)
{
//private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, TourWrapper tour,
// int constrainedMode, int constrainedArrivalTime, int constrainedDepartureTime, HTourModeTime choice = null) {
IHouseholdWrapper household = tour.Household;
IPersonWrapper person = tour.Person;
IPersonDayWrapper personDay = tour.PersonDay;
IHouseholdTotals householdTotals = household.HouseholdTotals;
// household inputs
int childrenUnder5 = householdTotals.ChildrenUnder5;
int childrenAge5Through15 = householdTotals.ChildrenAge5Through15;
int nonworkingAdults = householdTotals.NonworkingAdults;
int retiredAdults = householdTotals.RetiredAdults;
int onePersonHouseholdFlag = household.IsOnePersonHousehold.ToFlag();
int twoPersonHouseholdFlag = household.IsTwoPersonHousehold.ToFlag();
//var householdCars = household.VehiclesAvailable;
int noCarsInHouseholdFlag = household.GetFlagForNoCarsInHousehold(householdCars);
int carsLessThanDriversFlag = household.GetFlagForCarsLessThanDrivers(householdCars);
int carsLessThanWorkersFlag = household.GetFlagForCarsLessThanWorkers(householdCars);
int HHwithChildrenFlag = household.HasChildren.ToFlag();
int HHwithSmallChildrenFlag = household.HasChildrenUnder5.ToFlag();
int HHwithLowIncomeFlag = (household.Income >= 300000 && household.Income < 600000).ToFlag();
int HHwithMidleIncomeFlag = (household.Income >= 600000 && household.Income < 900000).ToFlag();
int HHwithHighIncomeFlag = (household.Income >= 900000).ToFlag();
int primaryFamilyTimeFlag = (householdDay == null) ? 0 : householdDay.PrimaryPriorityTimeFlag;
// person inputs
int partTimeWorkerFlag = person.IsPartTimeWorker.ToFlag();
int nonworkingAdultFlag = person.IsNonworkingAdult.ToFlag();
int universityStudentFlag = person.IsUniversityStudent.ToFlag();
int retiredAdultFlag = person.IsRetiredAdult.ToFlag();
int fullTimeWorkerFlag = person.IsFulltimeWorker.ToFlag();
int childAge5Through15Flag = person.IsChildAge5Through15.ToFlag();
int childUnder5Flag = person.IsChildUnder5.ToFlag();
int adultFlag = person.IsAdult.ToFlag();
int maleFlag = person.IsMale.ToFlag();
int femaleFlag = person.IsFemale.ToFlag();
int PTpass = person.TransitPassOwnership;
// person-day inputs
int homeBasedToursOnlyFlag = 1;
int firstSimulatedHomeBasedTourFlag = 1;
int laterSimulatedHomeBasedTourFlag = 0;
int totalStops = 0;
int totalSimulatedStops = 0;
int escortStops = 0;
int homeBasedTours = 1;
int simulatedHomeBasedTours = 0;
if (!(personDay == null))
{
homeBasedToursOnlyFlag = personDay.OnlyHomeBasedToursExist().ToFlag();
firstSimulatedHomeBasedTourFlag = personDay.IsFirstSimulatedHomeBasedTour().ToFlag();
laterSimulatedHomeBasedTourFlag = personDay.IsLaterSimulatedHomeBasedTour().ToFlag();
totalStops = personDay.GetTotalStops();
totalSimulatedStops = personDay.GetTotalSimulatedStops();
escortStops = personDay.EscortStops;
homeBasedTours = personDay.HomeBasedTours;
simulatedHomeBasedTours = personDay.SimulatedHomeBasedTours;
}
// tour inputs
int escortTourFlag = tour.IsEscortPurpose().ToFlag();
int shoppingTourFlag = tour.IsShoppingPurpose().ToFlag();
int socialTourFlag = tour.IsSocialPurpose().ToFlag();
int personalBusinessTourFlag = tour.IsPersonalBusinessPurpose().ToFlag();
int workTourFlag = tour.IsWorkPurpose().ToFlag();
int educationTourFlag = tour.IsSchoolPurpose().ToFlag();
int businessTourFlag = tour.IsBusinessPurpose().ToFlag();
IParcelWrapper originParcel = tour.OriginParcel;
//var destinationParcel = tour.DestinationParcel;
int jointTourFlag = (tour.JointTourSequence > 0) ? 1 : 0;
int partialHalfTour1Flag = (tour.PartialHalfTour1Sequence > 0) ? 1 : 0;
int partialHalfTour2Flag = (tour.PartialHalfTour2Sequence > 0) ? 1 : 0;
bool partialHalfTour = (tour.PartialHalfTour1Sequence > 0 || tour.PartialHalfTour2Sequence > 0);
int fullHalfTour1Flag = (tour.FullHalfTour1Sequence > 0) ? 1 : 0;
int fullHalfTour2Flag = (tour.FullHalfTour2Sequence > 0) ? 1 : 0;
// remaining inputs
//Initialize a few variables in case personDay is null
// Higher priority tour of 2+ tours for the same purpose
int highPrioritySameFlag = 0;
// Lower priority tour(s) of 2+ tours for the same purpose
int lowPrioritySameFlag = 0;
// Higher priority tour of 2+ tours for different purposes
int highPriorityDifferentFlag = 0;
// Lower priority tour of 2+ tours for different purposes
int lowPriorityDifferentFlag = 0;
if (!(personDay == null))
{
// Higher priority tour of 2+ tours for the same purpose
highPrioritySameFlag = (tour.GetTotalToursByPurpose() > tour.GetTotalSimulatedToursByPurpose() && tour.GetTotalSimulatedToursByPurpose() == 1).ToFlag();
// Lower priority tour(s) of 2+ tours for the same purpose
lowPrioritySameFlag = (tour.GetTotalSimulatedToursByPurpose() > 1).ToFlag();
// Higher priority tour of 2+ tours for different purposes
highPriorityDifferentFlag = (personDay.IsFirstSimulatedHomeBasedTour() && personDay.HomeBasedToursExist()).ToFlag() * (1 - highPrioritySameFlag);
// Lower priority tour of 2+ tours for different purposes
lowPriorityDifferentFlag = (personDay.IsLaterSimulatedHomeBasedTour() && personDay.HomeBasedToursExist()).ToFlag() * (1 - lowPrioritySameFlag);
}
ITimeWindow timeWindow = (householdDay == null) ? new TimeWindow() : tour.GetRelevantTimeWindow(householdDay);
int totalMinutesAvailableInDay = timeWindow.TotalAvailableMinutes(1, 1440);
if (totalMinutesAvailableInDay < 0)
{
if (!Global.Configuration.IsInEstimationMode)
{
householdDay.IsValid = false;
}
totalMinutesAvailableInDay = 0;
}
int bigPeriodCount = DayPeriod.H_BIG_DAY_PERIOD_TOTAL_TOUR_TIMES;
int nPeriodCombs = bigPeriodCount * (bigPeriodCount + 1) / 2;
bool useTimeComponents = Global.Configuration.IsInEstimationMode || constrainedArrivalTime == 0 || constrainedDepartureTime == 0;
int componentIndex = 0;
int periodComb = -1;
//set components
if (useTimeComponents)
{
for (int arrivalPeriodIndex = 0; arrivalPeriodIndex < bigPeriodCount; arrivalPeriodIndex++)
{
MinuteSpan arrivalPeriod = DayPeriod.HBigDayPeriods[arrivalPeriodIndex];
int arrivalPeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(arrivalPeriod.Start, arrivalPeriod.End);
for (int departurePeriodIndex = arrivalPeriodIndex; departurePeriodIndex < bigPeriodCount; departurePeriodIndex++)
{
MinuteSpan departurePeriod = DayPeriod.HBigDayPeriods[departurePeriodIndex];
int departurePeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(departurePeriod.Start, departurePeriod.End);
if (arrivalPeriod == departurePeriod)
{
componentIndex = arrivalPeriodIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component arrivalComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (arrivalPeriodAvailableMinutes > 0)
{
double hoursArrival = arrivalPeriod.Middle / 60.0;
int firstCoef = 300;
arrivalComponent.AddUtilityTerm(300, Math.Log(arrivalPeriodAvailableMinutes));
//arrival shift variables
arrivalComponent.AddUtilityTerm(firstCoef + 2, partTimeWorkerFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 3, nonworkingAdultFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 4, universityStudentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 5, retiredAdultFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 6, childAge5Through15Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 7, childUnder5Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 8, educationTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 9, escortTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 10, shoppingTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 11, businessTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 12, personalBusinessTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 13, socialTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 14, workTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 15, primaryFamilyTimeFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 16, HHwithLowIncomeFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 17, HHwithMidleIncomeFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 18, HHwithHighIncomeFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 19, highPrioritySameFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 20, lowPrioritySameFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 21, highPriorityDifferentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 22, lowPriorityDifferentFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 23, jointTourFlag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 24, partialHalfTour1Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 25, fullHalfTour1Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 26, partialHalfTour2Flag * hoursArrival);
arrivalComponent.AddUtilityTerm(firstCoef + 27, fullHalfTour2Flag * hoursArrival);
}
componentIndex = bigPeriodCount + departurePeriodIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component departureComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (departurePeriodAvailableMinutes > 0)
{
departureComponent.AddUtilityTerm(300, Math.Log(departurePeriodAvailableMinutes));
}
}
// set period combination component
periodComb++;
componentIndex = 2 * bigPeriodCount + periodComb;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component combinationComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
if (arrivalPeriodAvailableMinutes > 0 && departurePeriodAvailableMinutes > 0)
{
double hoursDuration = (departurePeriod.Middle - arrivalPeriod.Middle) / 60.0;
int firstCoef = 700;
//combination constants
combinationComponent.AddUtilityTerm(firstCoef + periodComb, 1.0);
// duration shift variables
combinationComponent.AddUtilityTerm(firstCoef + 30, primaryFamilyTimeFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 31, escortTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 32, shoppingTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 33, educationTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 34, socialTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 35, personalBusinessTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 36, businessTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 37, workTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 38, highPrioritySameFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 39, lowPrioritySameFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 40, highPriorityDifferentFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 41, lowPriorityDifferentFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 42, partTimeWorkerFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 43, jointTourFlag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 44, partialHalfTour1Flag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 45, fullHalfTour1Flag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 46, partialHalfTour2Flag * hoursDuration);
combinationComponent.AddUtilityTerm(firstCoef + 47, fullHalfTour2Flag * hoursDuration);
// peak-to-peak variables
if (arrivalPeriod.Index == DayPeriod.AM_PEAK && departurePeriod.Index == DayPeriod.PM_PEAK)
{
combinationComponent.AddUtilityTerm(firstCoef + 48, fullTimeWorkerFlag);
combinationComponent.AddUtilityTerm(firstCoef + 49, partTimeWorkerFlag);
combinationComponent.AddUtilityTerm(firstCoef + 50, maleFlag);
}
}
}
}
}
//for (var mode = Global.Settings.Modes.Walk; mode <= Global.Settings.Modes.WalkRideBike; mode++) { replaced 20171120 JLB
for (int mode = Global.Settings.Modes.Walk; mode <= Global.Settings.Modes.PaidRideShare; mode++)
{
componentIndex = 2 * bigPeriodCount + nPeriodCombs + mode - 1;
choiceProbabilityCalculator.CreateUtilityComponent(componentIndex);
ChoiceProbabilityCalculator.Component modeComponent = choiceProbabilityCalculator.GetUtilityComponent(componentIndex);
//if (mode == Global.Settings.Modes.SchoolBus) {
// modeComponent.AddUtilityTerm(10, 1);
//}
if (mode == Global.Settings.Modes.Transit)
{
modeComponent.AddUtilityTerm(20, 1);
modeComponent.AddUtilityTerm(21, femaleFlag);
//modeComponent.AddUtilityTerm(22, retiredAdultFlag);
modeComponent.AddUtilityTerm(22, PTpass);
//GV: one person HH; 8. juni 2016
//modeComponent.AddUtilityTerm(23, onePersonHouseholdFlag);
//GV: income effect is not with a correct sign
//modeComponent.AddUtilityTerm(23, HHwithLowIncomeFlag);
//modeComponent.AddUtilityTerm(24, HHwithMidleIncomeFlag);
//modeComponent.AddUtilityTerm(25, HHwithHighIncomeFlag);
//GV: not significant
//modeComponent.AddUtilityTerm(26, childrenUnder5);
//modeComponent.AddUtilityTerm(27, childrenAge5Through15);
modeComponent.AddUtilityTerm(28, nonworkingAdults + retiredAdults);
//modeComponent.AddUtilityTerm(26, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(29, carsLessThanDriversFlag);
}
else if (mode == Global.Settings.Modes.Hov3)
{
modeComponent.AddUtilityTerm(30, 1);
modeComponent.AddUtilityTerm(31, childrenUnder5);
modeComponent.AddUtilityTerm(32, childrenAge5Through15);
modeComponent.AddUtilityTerm(33, nonworkingAdults + retiredAdults);
modeComponent.AddUtilityTerm(34, femaleFlag);
//modeComponent.AddUtilityTerm(38, onePersonHouseholdFlag);
modeComponent.AddUtilityTerm(36, twoPersonHouseholdFlag);
//GV: commented out 7. june 2016
//modeComponent.AddUtilityTerm(37, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(38, carsLessThanDriversFlag);
}
else if (mode == Global.Settings.Modes.Hov2)
{
modeComponent.AddUtilityTerm(40, 1);
modeComponent.AddUtilityTerm(41, maleFlag);
//modeComponent.AddUtilityTerm(41, onePersonHouseholdFlag);
//GV: Testing coeff. 42-44 again, 26. may 2016, coeff. numbering changed
modeComponent.AddUtilityTerm(42, childrenUnder5);
modeComponent.AddUtilityTerm(43, childrenAge5Through15);
modeComponent.AddUtilityTerm(44, nonworkingAdults + retiredAdults);
//GV: these are significant and plus; 8. juni 2016
//modeComponent.AddUtilityTerm(45, HHwithLowIncomeFlag);
//modeComponent.AddUtilityTerm(46, HHwithMidleIncomeFlag);
//modeComponent.AddUtilityTerm(47, HHwithHighIncomeFlag);
//GV coeff. numbering changed; 8. june 2016 - not significant
//modeComponent.AddUtilityTerm(48, noCarsInHouseholdFlag);
//modeComponent.AddUtilityTerm(49, carsLessThanDriversFlag);
}
else if (mode == Global.Settings.Modes.Sov)
{
modeComponent.AddUtilityTerm(50, 1);
//not significant: modeComponent.AddUtilityTerm(51, maleFlag);
modeComponent.AddUtilityTerm(52, fullTimeWorkerFlag);
modeComponent.AddUtilityTerm(53, partTimeWorkerFlag);
modeComponent.AddUtilityTerm(54, onePersonHouseholdFlag);
//GV: these are NOT significant
//modeComponent.AddUtilityTerm(55, HHwithLowIncomeFlag);
//modeComponent.AddUtilityTerm(56, HHwithMidleIncomeFlag);
//modeComponent.AddUtilityTerm(57, HHwithHighIncomeFlag);
//GV: coeff. numbering changed, 26. may 2016
modeComponent.AddUtilityTerm(58, carsLessThanWorkersFlag);
}
else if (mode == Global.Settings.Modes.Bike)
{
modeComponent.AddUtilityTerm(60, 1);
modeComponent.AddUtilityTerm(61, femaleFlag);
//modeComponent.AddUtilityTerm(62, childrenUnder5);
//GV: changed small kids to retired; 3. june 2016
modeComponent.AddUtilityTerm(62, retiredAdults);
modeComponent.AddUtilityTerm(63, childAge5Through15Flag);
//GV: 3. june 2016 - added "no cars in HH" for full/part_time workers
modeComponent.AddUtilityTerm(64, fullTimeWorkerFlag + noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(65, partTimeWorkerFlag + noCarsInHouseholdFlag);
//modeComponent.AddUtilityTerm(66, noCarsInHouseholdFlag);
modeComponent.AddUtilityTerm(67, carsLessThanDriversFlag);
//GV: university students; 3. june 2016 - not significant
//modeComponent.AddUtilityTerm(68, universityStudentFlag);
//GV: one person HH; 8. juni 2016
modeComponent.AddUtilityTerm(69, onePersonHouseholdFlag);
}
else if (mode == Global.Settings.Modes.Walk)
{
modeComponent.AddUtilityTerm(70, 1.0);
//GV: Testing female variable again; 26. may 2016 - not sign.
//modeComponent.AddUtilityTerm(71, femaleFlag);
modeComponent.AddUtilityTerm(72, nonworkingAdults);
//not sign.: modeComponent.AddUtilityTerm(73, retiredAdults);
//GV: one person HH
modeComponent.AddUtilityTerm(74, onePersonHouseholdFlag);
//GV: not significant
//modeComponent.AddUtilityTerm(76, noCarsInHouseholdFlag);
//modeComponent.AddUtilityTerm(77, carsLessThanDriversFlag);
}
else if (mode == Global.Settings.Modes.ParkAndRide)
{
modeComponent.AddUtilityTerm(80, 1.0);
}
else if (mode == Global.Settings.Modes.CarKissRideWalk)
{
modeComponent.AddUtilityTerm(90, 1.0);
}
else if (mode == Global.Settings.Modes.BikeParkRideWalk)
{
modeComponent.AddUtilityTerm(100, 1.0);
}
else if (mode == Global.Settings.Modes.BikeParkRideBike)
{
modeComponent.AddUtilityTerm(110, 1.0);
}
else if (mode == Global.Settings.Modes.BikeOnTransit)
{
modeComponent.AddUtilityTerm(120, 1.0);
}
else if (mode == Global.Settings.Modes.CarParkRideBike)
{
modeComponent.AddUtilityTerm(130, 1.0);
}
else if (mode == Global.Settings.Modes.WalkRideBike)
{
modeComponent.AddUtilityTerm(140, 1.0);
}
else if (mode == Global.Settings.Modes.PaidRideShare)
{
//modeComponent.AddUtilityTerm(150, 1.0);
double modeConstant = Global.Configuration.AV_PaidRideShareModeUsesAVs
? Global.Configuration.AV_PaidRideShare_ModeConstant
+ Global.Configuration.AV_PaidRideShare_DensityCoefficient * Math.Min(originParcel.HouseholdsBuffer2 + originParcel.StudentsUniversityBuffer2 + originParcel.EmploymentTotalBuffer2, 6000)
+ Global.Configuration.AV_PaidRideShare_AVOwnerCoefficient * (household.OwnsAutomatedVehicles > 0).ToFlag()
: Global.Configuration.PaidRideShare_ModeConstant
+ Global.Configuration.PaidRideShare_DensityCoefficient * Math.Min(originParcel.HouseholdsBuffer2 + originParcel.StudentsUniversityBuffer2 + originParcel.EmploymentTotalBuffer2, 6000);
modeComponent.AddUtilityTerm(150, modeConstant);
modeComponent.AddUtilityTerm(150, Global.Configuration.PaidRideShare_Age26to35Coefficient * tour.Person.AgeIsBetween26And35.ToFlag());
modeComponent.AddUtilityTerm(150, Global.Configuration.PaidRideShare_Age18to25Coefficient * tour.Person.AgeIsBetween18And25.ToFlag());
modeComponent.AddUtilityTerm(150, Global.Configuration.PaidRideShare_AgeOver65Coefficient * (tour.Person.Age >= 65).ToFlag());
}
//GV: Estimation of importance of "purpose" per mode - SOV is zero-alt and Work is zero-alt
if (mode == Global.Settings.Modes.Walk || mode == Global.Settings.Modes.Bike || mode == Global.Settings.Modes.Hov2 ||
mode == Global.Settings.Modes.Hov3 || mode == Global.Settings.Modes.Transit)
{
int firstCoef = 200 + 10 * mode;
modeComponent.AddUtilityTerm(firstCoef + 0, escortTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 1, shoppingTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 2, educationTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 3, socialTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 4, personalBusinessTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 5, businessTourFlag);
//modeComponent.AddUtilityTerm(firstCoef + 6, workTourFlag); //GV: "work" is zero alternative
modeComponent.AddUtilityTerm(firstCoef + 7, jointTourFlag);
modeComponent.AddUtilityTerm(firstCoef + 8, Math.Min(partialHalfTour1Flag + partialHalfTour2Flag, 1.0));
modeComponent.AddUtilityTerm(firstCoef + 9, Math.Min(fullHalfTour1Flag + fullHalfTour2Flag, 1.0));
}
}
//loop on all alternatives, using modeTimes objects
{
foreach (HTourModeTime modeTimes in HTourModeTime.ModeTimes[ParallelUtility.threadLocalAssignedIndex.Value])
{
MinuteSpan arrivalPeriod = modeTimes.ArrivalPeriod;
int arrivalPeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(arrivalPeriod.Start, arrivalPeriod.End);
MinuteSpan departurePeriod = modeTimes.DeparturePeriod;
int departurePeriodAvailableMinutes = timeWindow.TotalAvailableMinutes(departurePeriod.Start, departurePeriod.End);
periodComb = modeTimes.PeriodCombinationIndex;
int mode = modeTimes.Mode;
int altIndex = modeTimes.Index;
//limit availability based on mode and tour purpose
bool available = (mode == Global.Settings.Modes.BikeParkRideBike || mode == Global.Settings.Modes.CarParkRideBike || mode == Global.Settings.Modes.WalkRideBike) &&
(!(tour.IsWorkPurpose() || tour.IsSchoolPurpose())) ? false : true;
//further limit availability on mode
if (mode == Global.Settings.Modes.PaidRideShare && !Global.Configuration.PaidRideShareModeIsAvailable)
{
available = false;
}
//further limit availability if tour includes joint travel
if ((tour.JointTourSequence > 0 ||
tour.FullHalfTour1Sequence > 0 || tour.FullHalfTour2Sequence > 0 ||
tour.PartialHalfTour1Sequence > 0 || tour.PartialHalfTour2Sequence > 0) &&
(mode > Global.Settings.Modes.Transit))
{
available = false;
}
//further limit availability: kissAndRide and carParkRideBike are not supported
available = (available == true) && (mode != Global.Settings.Modes.CarKissRideWalk) && (mode != Global.Settings.Modes.CarParkRideBike);
//further limit availabillity based on time window variables and any constrained choices
available = (available == true) &&
(modeTimes.LongestFeasibleWindow != null) && (mode > 0)
//&& (mode <= Global.Settings.Modes.Transit)
&& (person.Age >= 18 || (modeTimes.Mode != Global.Settings.Modes.Sov && modeTimes.Mode != Global.Settings.Modes.HovDriver)) &&
(constrainedMode > 0 || mode == Global.Settings.Modes.Walk || mode == Global.Settings.Modes.Bike || mode == Global.Settings.Modes.HovDriver || mode == Global.Settings.Modes.Transit || !partialHalfTour) &&
(constrainedMode <= 0 || constrainedMode == mode) &&
(constrainedArrivalTime <= 0 || (constrainedArrivalTime >= arrivalPeriod.Start && constrainedArrivalTime <= arrivalPeriod.End)) &&
(constrainedDepartureTime <= 0 || (constrainedDepartureTime >= departurePeriod.Start && constrainedDepartureTime <= departurePeriod.End));
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(altIndex, available,
choice != null && choice.Index == altIndex);
alternative.Choice = modeTimes; // JLB added 20130420
//alternative.AddNestedAlternative(HTourModeTime.TOTAL_TOUR_MODE_TIMES + periodComb + 1, periodComb, THETA_PARAMETER);
alternative.AddNestedAlternative(HTourModeTime.TotalTourModeTimes + mode, mode - 1, THETA_PARAMETER);
//if (Global.Configuration.IsInEstimationMode && altIndex == choice.Index) {
// Global.PrintFile.WriteLine("Aper Dper Mode {0} {1} {2} Travel Times {3} {4} Window {5} {6}",
// arrivalPeriod.Index, departurePeriod.Index, mode,
// modeTimes.ModeAvailableToDestination ? modeTimes.TravelTimeToDestination : -1,
// modeTimes.ModeAvailableFromDestination ? modeTimes.TravelTimeFromDestination : -1,
// modeTimes.LongestFeasibleWindow != null ? modeTimes.LongestFeasibleWindow.Start : -1,
// modeTimes.LongestFeasibleWindow != null ? modeTimes.LongestFeasibleWindow.End : -1);
//}
//Following code was used to test handling of partially joint half tours (JLB 20140603)
//if (partialHalfTour) {
// Global.PrintFile.WriteLine("HH pers {0} {1} avail {2} Aper Dper Mode {3} {4} {5} Travel Times {6} {7} Window {8} {9}",
// household.Id, person.Sequence,
// available,
// arrivalPeriod.Index, departurePeriod.Index, mode,
// modeTimes.ModeAvailableToDestination ? modeTimes.TravelTimeToDestination : -1,
// modeTimes.ModeAvailableFromDestination ? modeTimes.TravelTimeFromDestination : -1,
// modeTimes.LongestFeasibleWindow != null ? modeTimes.LongestFeasibleWindow.Start : -1,
// modeTimes.LongestFeasibleWindow != null ? modeTimes.LongestFeasibleWindow.End : -1);
//}
//if in application mode and combination is not available, can skip the rest
if (!Global.Configuration.IsInEstimationMode && !alternative.Available)
{
continue;
}
if (useTimeComponents)
{
// arrival period utility component
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(arrivalPeriod.Index));
// departure period utility component
alternative.AddUtilityComponent(
choiceProbabilityCalculator.GetUtilityComponent(bigPeriodCount + departurePeriod.Index));
// period combination utility component
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(2 * bigPeriodCount + periodComb));
}
// mode utility component
alternative.AddUtilityComponent(
choiceProbabilityCalculator.GetUtilityComponent(2 * bigPeriodCount + nPeriodCombs + mode - 1));
//even in estimation mode, do not need the rest of the code if not available
if (!alternative.Available)
{
continue;
}
//GV and JB: the parking cost are handled as part of genaralised time
double minimumTimeNeeded = modeTimes.TravelTimeToDestination + modeTimes.TravelTimeFromDestination + Global.Settings.Times.MinimumActivityDuration;
alternative.AddUtilityTerm(1, modeTimes.GeneralizedTimeToDestination + modeTimes.GeneralizedTimeFromDestination);
//alternative.AddUtilityTerm(3,
// Math.Log(modeTimes.LongestFeasibleWindow.End - modeTimes.LongestFeasibleWindow.Start -
// minimumTimeNeeded + 1.0));
// JLB 20140204 replaced coeff 3 with a different time window formulation: time pressure
// instead of having positive utility for increasing time window, have negative utility for decreasing time window
alternative.AddUtilityTerm(3,
Math.Log(Math.Max(Constants.EPSILON, 1 -
Math.Pow(minimumTimeNeeded / (Math.Min(840, modeTimes.LongestFeasibleWindow.End - modeTimes.LongestFeasibleWindow.Start)), 0.8)
)));
alternative.AddUtilityTerm(4, Math.Log((totalMinutesAvailableInDay + 1.0) / (minimumTimeNeeded + 1.0)));
alternative.AddUtilityTerm(5,
(maleFlag == 0 && mode == Global.Settings.Modes.Walk &&
arrivalPeriod.Index >= DayPeriod.EVENING)
? 1
: 0);
if (altIndex == 0)
{
alternative.AddUtilityTerm(998, tour.DestinationPurpose);
alternative.AddUtilityTerm(999, (tour.ParentTour == null) ? 0 : 1);
}
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, PersonDayWrapper personDay, HouseholdDayWrapper householdDay, DayPattern[] dayPatterns, DayPattern choice = null)
{
Framework.DomainModels.Wrappers.IHouseholdWrapper household = personDay.Household;
Framework.DomainModels.Wrappers.IParcelWrapper residenceParcel = household.ResidenceParcel;
Framework.DomainModels.Wrappers.IPersonWrapper person = personDay.Person;
int carsPerDriver = household.GetCarsPerDriver();
double mixedDensity = residenceParcel.MixedUse3Index2();
double intersectionDensity = residenceParcel.IntersectionDensity34Minus1Buffer2();
double[] purposeLogsums = new double[Global.Settings.Purposes.TotalPurposes + 2];
double[] atUsualLogsums = new double[3];
//var carOwnership = person.CarOwnershipSegment; //GV: sat car ownership not to impact logsums
int carOwnership = 0;
int votSegment = person.Household.GetVotALSegment();
int transitAccess = residenceParcel.TransitAccessSegment();
//GV: input 26. july 2013
// household inputs
//var childrenUnder5 = householdTotals.ChildrenUnder5;
//var childrenAge5Through15 = householdTotals.ChildrenAge5Through15;
//var nonworkingAdults = householdTotals.NonworkingAdults;
//var retiredAdults = householdTotals.RetiredAdults;
int onePersonHouseholdFlag = household.IsOnePersonHousehold.ToFlag();
int twoPersonHouseholdFlag = household.IsTwoPersonHousehold.ToFlag();
int householdCars = household.VehiclesAvailable;
//var noCarsInHouseholdFlag = HouseholdWrapper.GetNoCarsInHouseholdFlag(householdCars);
//var carsLessThanDriversFlag = household.GetCarsLessThanDriversFlag(householdCars);
//var carsLessThanWorkersFlag = household.GetCarsLessThanWorkersFlag(householdCars);
int HHwithChildrenFlag = household.HasChildren.ToFlag();
int HHwithSmallChildrenFlag = household.HasChildrenUnder5.ToFlag();
int HHwithLowIncomeFlag = (household.Income >= 300000 && household.Income < 600000).ToFlag();
int HHwithMidleIncomeFlag = (household.Income >= 600000 && household.Income < 900000).ToFlag();
int HHwithHighIncomeFlag = (household.Income >= 900000).ToFlag();
int primaryFamilyTimeFlag = householdDay.PrimaryPriorityTimeFlag;
//GV: input 26. july 2013
// person inputs
int partTimeWorkerFlag = person.IsPartTimeWorker.ToFlag();
int nonworkingAdultFlag = person.IsNonworkingAdult.ToFlag();
int universityStudentFlag = person.IsUniversityStudent.ToFlag();
int retiredAdultFlag = person.IsRetiredAdult.ToFlag();
int fullTimeWorkerFlag = person.IsFulltimeWorker.ToFlag();
int childAge5Through15Flag = person.IsChildAge5Through15.ToFlag();
int childUnder5Flag = person.IsChildUnder5.ToFlag();
int adultFlag = person.IsAdult.ToFlag();
int maleFlag = person.IsMale.ToFlag();
int femaleFlag = person.IsFemale.ToFlag();
if (person.UsualWorkParcel == null || person.UsualWorkParcelId == household.ResidenceParcelId)
{
purposeLogsums[Global.Settings.Purposes.Work] = 0;
}
else
{
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.WorkTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.WorkTourModeModel);
//JLB 201406
//var nestedAlternative = Global.ChoiceModelSession.Get<WorkTourModeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
//JLB 201602
//var nestedAlternative = Global.ChoiceModelSession.Get<WorkTourModeTimeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <TourModeTimeModel>().RunNested(personDay, residenceParcel, person.UsualWorkParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable, Global.Settings.Purposes.Work);
purposeLogsums[Global.Settings.Purposes.Work] = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
atUsualLogsums[Global.Settings.Purposes.Work] = Global.AggregateLogsums[person.UsualWorkParcel.ZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votSegment][person.UsualWorkParcel.TransitAccessSegment()];
}
if (person.UsualSchoolParcel == null || person.UsualSchoolParcelId == household.ResidenceParcelId)
{
purposeLogsums[Global.Settings.Purposes.School] = 0;
}
else
{
int destinationArrivalTime = ChoiceModelUtility.GetDestinationArrivalTime(Global.Settings.Models.SchoolTourModeModel);
int destinationDepartureTime = ChoiceModelUtility.GetDestinationDepartureTime(Global.Settings.Models.SchoolTourModeModel);
//JLB 201406
//var nestedAlternative = Global.ChoiceModelSession.Get<SchoolTourModeModel>().RunNested(personDay, residenceParcel, person.UsualSchoolParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
//JLB 201602
//var nestedAlternative = Global.ChoiceModelSession.Get<SchoolTourModeTimeModel>().RunNested(personDay, residenceParcel, person.UsualSchoolParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable);
ChoiceProbabilityCalculator.Alternative nestedAlternative = Global.ChoiceModelSession.Get <TourModeTimeModel>().RunNested(personDay, residenceParcel, person.UsualSchoolParcel, destinationArrivalTime, destinationDepartureTime, household.VehiclesAvailable, Global.Settings.Purposes.School);
purposeLogsums[Global.Settings.Purposes.School] = nestedAlternative == null ? 0 : nestedAlternative.ComputeLogsum();
atUsualLogsums[Global.Settings.Purposes.School] = Global.AggregateLogsums[person.UsualSchoolParcel.ZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votSegment][person.UsualSchoolParcel.TransitAccessSegment()];
}
double compositeLogsum = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.HomeBasedComposite][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Escort] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Escort][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.PersonalBusiness] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.PersonalBusiness][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Shopping] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Shopping][carOwnership][votSegment][transitAccess];
purposeLogsums[Global.Settings.Purposes.Social] = Global.AggregateLogsums[household.ResidenceZoneId][Global.Settings.Purposes.Social][carOwnership][votSegment][transitAccess];
for (int xPurpose = Global.Settings.Purposes.Escort; xPurpose <= Global.Settings.Purposes.Social + 10; xPurpose++)
{
// extra components 1-5 are for 2,3,4,5,6 tour purposes
// extra components 6-10 are for 2,3,4,5,6 stop puroposes
// recode purpose to match coefficients
int purpose = xPurpose <= Global.Settings.Purposes.Social ? xPurpose :
xPurpose <= Global.Settings.Purposes.Social + 5 ? Global.Settings.Purposes.Social + 1 :
Global.Settings.Purposes.Social + 2;
// get correct multiplier on coefficients.
double xMultiplier = xPurpose <= Global.Settings.Purposes.Social ? 1.0 :
xPurpose <= Global.Settings.Purposes.Social + 5 ? Math.Log(xPurpose - Global.Settings.Purposes.Social + 1) :
Math.Log(xPurpose - Global.Settings.Purposes.Social - 5 + 1);
choiceProbabilityCalculator.CreateUtilityComponent(xPurpose);
ChoiceProbabilityCalculator.Component component = choiceProbabilityCalculator.GetUtilityComponent(xPurpose);
component.AddUtilityTerm(100 * purpose + 1, xMultiplier * person.IsFulltimeWorker.ToFlag());
component.AddUtilityTerm(100 * purpose + 2, xMultiplier * person.IsPartTimeWorker.ToFlag());
component.AddUtilityTerm(100 * purpose + 3, xMultiplier * person.IsRetiredAdult.ToFlag());
component.AddUtilityTerm(100 * purpose + 4, xMultiplier * person.IsNonworkingAdult.ToFlag());
component.AddUtilityTerm(100 * purpose + 5, xMultiplier * person.IsUniversityStudent.ToFlag());
component.AddUtilityTerm(100 * purpose + 6, xMultiplier * person.IsDrivingAgeStudent.ToFlag());
component.AddUtilityTerm(100 * purpose + 7, xMultiplier * person.IsChildAge5Through15.ToFlag());
component.AddUtilityTerm(100 * purpose + 8, xMultiplier * person.IsChildUnder5.ToFlag());
component.AddUtilityTerm(100 * purpose + 9, xMultiplier * HHwithLowIncomeFlag);
component.AddUtilityTerm(100 * purpose + 10, xMultiplier * HHwithMidleIncomeFlag);
component.AddUtilityTerm(100 * purpose + 11, xMultiplier * HHwithHighIncomeFlag);
//component.AddUtilityTerm(100 * purpose + 12, xMultiplier * carsPerDriver);
component.AddUtilityTerm(100 * purpose + 12, xMultiplier * householdCars);
component.AddUtilityTerm(100 * purpose + 13, xMultiplier * person.IsOnlyAdult().ToFlag());
component.AddUtilityTerm(100 * purpose + 14, xMultiplier * person.IsOnlyFullOrPartTimeWorker().ToFlag());
component.AddUtilityTerm(100 * purpose + 15, xMultiplier * 0);
component.AddUtilityTerm(100 * purpose + 16, xMultiplier * person.IsFemale.ToFlag() * person.IsAdult.ToFlag() * (!household.HasChildrenUnder16).ToFlag());
component.AddUtilityTerm(100 * purpose + 17, xMultiplier * person.IsFemale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenUnder5.ToFlag());
component.AddUtilityTerm(100 * purpose + 18, xMultiplier * person.IsFemale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenAge5Through15.ToFlag());
component.AddUtilityTerm(100 * purpose + 19, xMultiplier * person.IsMale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenUnder5.ToFlag());
component.AddUtilityTerm(100 * purpose + 20, xMultiplier * person.IsMale.ToFlag() * person.IsAdult.ToFlag() * household.HasChildrenAge5Through15.ToFlag());
//component.AddUtilityTerm(100 * purpose + 21, xMultiplier * primaryFamilyTimeFlag); //GV: wrong sign
//component.AddUtilityTerm(100 * purpose + 21, xMultiplier * person.AgeIsBetween18And25.ToFlag());
//component.AddUtilityTerm(100 * purpose + 22, xMultiplier * person.AgeIsBetween26And35.ToFlag());
//component.AddUtilityTerm(100 * purpose + 23, xMultiplier * person.AgeIsBetween51And65.ToFlag());
component.AddUtilityTerm(100 * purpose + 24, xMultiplier * person.WorksAtHome().ToFlag());
component.AddUtilityTerm(100 * purpose + 25, xMultiplier * mixedDensity);
component.AddUtilityTerm(100 * purpose + 26, xMultiplier * intersectionDensity);
//component.AddUtilityTerm(100 * purpose + 27, xMultiplier * purposeLogsums[purpose]); //GV: 17.08.2013, the logsums are wrong
//component.AddUtilityTerm(100 * purpose + 28, xMultiplier * person.TransitPassOwnershipFlag);
}
// tour utility
const int tourComponentIndex = 18;
choiceProbabilityCalculator.CreateUtilityComponent(tourComponentIndex);
ChoiceProbabilityCalculator.Component tourComponent = choiceProbabilityCalculator.GetUtilityComponent(tourComponentIndex);
//tourComponent.AddUtilityTerm(1701, carsPerDriver);
tourComponent.AddUtilityTerm(1701, householdCars);
tourComponent.AddUtilityTerm(1702, person.WorksAtHome().ToFlag());
tourComponent.AddUtilityTerm(1703, mixedDensity);
tourComponent.AddUtilityTerm(1704, mixedDensity * person.IsChildAge5Through15.ToFlag());
tourComponent.AddUtilityTerm(1705, compositeLogsum);
//tourComponent.AddUtilityTerm(1706, person.TransitPassOwnershipFlag);
tourComponent.AddUtilityTerm(1706, primaryFamilyTimeFlag);
// stop utility
const int stopComponentIndex = 19;
choiceProbabilityCalculator.CreateUtilityComponent(stopComponentIndex);
ChoiceProbabilityCalculator.Component stopComponent = choiceProbabilityCalculator.GetUtilityComponent(stopComponentIndex);
//stopComponent.AddUtilityTerm(1711, carsPerDriver);
stopComponent.AddUtilityTerm(1711, householdCars);
stopComponent.AddUtilityTerm(1712, person.WorksAtHome().ToFlag());
stopComponent.AddUtilityTerm(1713, mixedDensity);
stopComponent.AddUtilityTerm(1714, mixedDensity * person.IsChildAge5Through15.ToFlag());
stopComponent.AddUtilityTerm(1715, compositeLogsum);
//stopComponent.AddUtilityTerm(1716, person.TransitPassOwnershipFlag);
//stopComponent.AddUtilityTerm(1716, primaryFamilyTimeFlag); //GV: 17.08.2013, the logsums are wrong
for (int alternativeIndex = 0; alternativeIndex < TOTAL_ALTERNATIVES; alternativeIndex++)
{
DayPattern dayPattern = dayPatterns[alternativeIndex];
bool available = dayPattern.Available;
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alternativeIndex, available, choice != null && choice.Equals(dayPattern));
if (!Global.Configuration.IsInEstimationMode && !alternative.Available)
{
continue;
}
alternative.Choice = dayPattern;
// components for the purposes
for (int purpose = Global.Settings.Purposes.Escort; purpose <= Global.Settings.Purposes.Social; purpose++)
{
if (dayPattern.Tours[purpose] > 0 || dayPattern.Stops[purpose] > 0)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(purpose));
if (dayPattern.Tours[purpose] > 0)
{
alternative.AddUtilityTerm(100 * purpose + 50, 1); // tour purpose ASC
//alternative.AddUtilityTerm(100 * purpose + 51, purposeLogsums[purpose]); // tour purpose logsum GV: 17.08.2013, the logsums are wrong
}
if (dayPattern.Stops[purpose] > 0)
{
alternative.AddUtilityTerm(100 * purpose + 60, 1); // stop purpose ASC
//alternative.AddUtilityTerm(100 * purpose + 61, purposeLogsums[purpose]); // stop purpose logsum GV: 17.08.2013, the logsums are wrong
}
if (Global.Configuration.IsInEstimationMode)
{
//GV commented out
//alternative.AddUtilityTerm(100 * purpose + 70, 1 - person.PaperDiary);
//GV commented out
//alternative.AddUtilityTerm(100 * purpose + 71, person.ProxyResponse);
}
}
}
// multiple tour purposes component
if (dayPattern.TotalTourPurposes > 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(Global.Settings.Purposes.Social + (dayPattern.TotalTourPurposes - 1)));
}
// multiple stop purposes component
if (dayPattern.TotalStopPurposes > 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(Global.Settings.Purposes.Social + 5 + (dayPattern.TotalStopPurposes - 1)));
}
for (int tourPurpose = Global.Settings.Purposes.Work; tourPurpose <= Global.Settings.Purposes.Social; tourPurpose++)
{
for (int stopPurpose = Global.Settings.Purposes.Work; stopPurpose <= Global.Settings.Purposes.Social - 1; stopPurpose++)
{
if (tourPurpose > Global.Settings.Purposes.School && stopPurpose <= Global.Settings.Purposes.School)
{
continue;
}
if (dayPattern.Tours[tourPurpose] > 0 && dayPattern.Stops[stopPurpose] > 0)
{
alternative.AddUtilityTerm(1200 + 10 * tourPurpose + stopPurpose, 1); // tour-stop comb. utility
}
}
}
for (int tourPurpose = Global.Settings.Purposes.Work; tourPurpose <= Global.Settings.Purposes.School; tourPurpose++)
{
if (dayPattern.Tours[tourPurpose] == 1 && dayPattern.TotalStopPurposes >= 1)
{
alternative.AddUtilityTerm(1300 + 10 * tourPurpose, purposeLogsums[tourPurpose]); // usual location logsum x presence of stops in work or school pattern
alternative.AddUtilityTerm(1300 + 10 * tourPurpose + 1, compositeLogsum); // home aggregate logsum x presence of stops in work or school pattern
//alternative.AddUtilityTerm(1300 + 10 * tourPurpose + 2, atUsualLogsums[tourPurpose]); // at usual location aggregate logsum x presence of stops in work or school pattern GV: commented out as the sign is wrong
}
}
for (int tourPurpose = Global.Settings.Purposes.Work; tourPurpose <= Global.Settings.Purposes.Social - 2; tourPurpose++)
{
for (int tourPurpose2 = tourPurpose + 1; tourPurpose2 <= Global.Settings.Purposes.Social; tourPurpose2++)
{
if (dayPattern.Tours[tourPurpose] > 0 && dayPattern.Tours[tourPurpose2] > 0)
{
alternative.AddUtilityTerm(1400 + 10 * tourPurpose + tourPurpose2, 1); // tour-tour comb. utility
}
}
}
for (int tourPurpose = Global.Settings.Purposes.Business; tourPurpose <= Global.Settings.Purposes.Business; tourPurpose++)
{
for (int tourPurpose2 = Global.Settings.Purposes.Escort; tourPurpose2 <= Global.Settings.Purposes.Social; tourPurpose2++)
{
if (dayPattern.Tours[tourPurpose] > 0 && dayPattern.Tours[tourPurpose2] > 0)
{
alternative.AddUtilityTerm(1461, 1); // tour-tour comb. utility for business combos
}
}
}
for (int stopPurpose = Global.Settings.Purposes.Work; stopPurpose <= Global.Settings.Purposes.Social - 2; stopPurpose++)
{
for (int stopPurpose2 = stopPurpose + 1; stopPurpose2 <= Global.Settings.Purposes.Social; stopPurpose2++)
{
if (dayPattern.Stops[stopPurpose] > 0 && dayPattern.Stops[stopPurpose2] > 0)
{
alternative.AddUtilityTerm(1500 + 10 * stopPurpose + stopPurpose2, 1); // stop-stop comb. utility
}
}
}
if (dayPattern.TotalTourPurposes > 0 && dayPattern.TotalStopPurposes > 0)
{
int totalStopPurposes = dayPattern.TotalStopPurposes;
if (totalStopPurposes > 3)
{
totalStopPurposes = 3;
}
alternative.AddUtilityTerm(1600 + 10 * dayPattern.TotalTourPurposes + totalStopPurposes, 1); // nttour-ntstop utility
}
if (dayPattern.TotalTourPurposes - dayPattern.Tours[Global.Settings.Purposes.Work]
- dayPattern.Tours[Global.Settings.Purposes.Business]
- dayPattern.Tours[Global.Settings.Purposes.School] > 0)
{
// tour utility
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(tourComponentIndex));
}
if (dayPattern.TotalStopPurposes - dayPattern.Stops[Global.Settings.Purposes.Work]
- dayPattern.Stops[Global.Settings.Purposes.Business]
- dayPattern.Stops[Global.Settings.Purposes.School] > 0)
{
// stop utility
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(stopComponentIndex));
}
}
}
private void RunModel(ChoiceProbabilityCalculator choiceProbabilityCalculator, HouseholdDayWrapper householdDay, int jHTSimulated, int genChoice, bool[,] jHTAvailable, bool[] pHTAvailable, int[][] altParticipants, int choice = Constants.DEFAULT_VALUE)
{
IEnumerable <PersonDayWrapper> orderedPersonDays = householdDay.PersonDays.OrderBy(p => p.GetJointHalfTourParticipationPriority()).ToList().Cast <PersonDayWrapper>();
int threadAssignedIndex = ParallelUtility.threadLocalAssignedIndex.Value;
int pairedHalfTour = genChoice == 1 ? 1 : 0;
int firstHalfTour = genChoice == 2 ? 1 : 0;
int secondHalfTour = genChoice == 3 ? 1 : 0;
double income = householdDay.Household.Income < 0 ? Global.Configuration.Coefficients_BaseCostCoefficientIncomeLevel : householdDay.Household.Income; // missing converted to 30K
double incomeMultiple = Math.Min(Math.Max(income / Global.Configuration.Coefficients_BaseCostCoefficientIncomeLevel, .1), 10); // ranges for extreme values
double incomePower = Global.Configuration.Coefficients_CostCoefficientIncomePower_Work;
double costCoefficient = Global.Coefficients_BaseCostCoefficientPerMonetaryUnit / Math.Pow(incomeMultiple, incomePower);
double votValue = (60.0 * Global.Configuration.Coefficients_MeanTimeCoefficient_Work) / costCoefficient; // in $/hour
// set household characteristics here that don't depend on person characteristics
int hhsize = householdDay.Household.Size;
int[] pUsualLocationParcelId = new int[6];
int[] pUsualLocationZoneId = new int[6];
IParcelWrapper[] pUsualLocationParcel = new IParcelWrapper[6];
int[] pPatternType = new int[6];
int[] pConstant = new int[6];
int[] pType8 = new int[6];
int[] pType7 = new int[6];
int[] pType6 = new int[6];
int[] pType5 = new int[6];
int[] pType4 = new int[6];
int[] pType3 = new int[6];
int[] pType2 = new int[6];
int[] pType1 = new int[6];
int[] pAdult = new int[6];
int[] pAdultWithChildrenUnder16 = new int[6];
int[] pAdultFemale = new int[6];
int[] pType7AgeUnder12 = new int[6];
int[] pType7Age12Plus = new int[6];
int[] pAgeUnder12 = new int[6];
int[] pAge5To8 = new int[6];
int[] pAge9To12 = new int[6];
int[] pAge13To15 = new int[6];
int[] pAge = new int[6];
int[] pDrivingAge = new int[6];
int count = 0;
foreach (PersonDayWrapper personDay in orderedPersonDays)
{
count++;
if (count <= 5)
{
// set characteristics here that depend on person characteristics
if (personDay.Person.IsFullOrPartTimeWorker && personDay.Person.UsualWorkParcel != null)
{
pUsualLocationParcelId[count] = personDay.Person.UsualWorkParcelId;
pUsualLocationParcel[count] = personDay.Person.UsualWorkParcel;
pUsualLocationZoneId[count] = personDay.Person.UsualWorkParcel.ZoneId;
}
else if (personDay.Person.IsStudent && personDay.Person.UsualSchoolParcel != null)
{
pUsualLocationParcelId[count] = personDay.Person.UsualSchoolParcelId;
pUsualLocationParcel[count] = personDay.Person.UsualSchoolParcel;
pUsualLocationZoneId[count] = personDay.Person.UsualSchoolParcel.ZoneId;
}
else if (personDay.Person.IsWorker && personDay.Person.IsNotFullOrPartTimeWorker && personDay.Person.UsualWorkParcel != null)
{
pUsualLocationParcelId[count] = personDay.Person.UsualWorkParcelId;
pUsualLocationParcel[count] = personDay.Person.UsualWorkParcel;
pUsualLocationZoneId[count] = personDay.Person.UsualWorkParcel.ZoneId;
}
else
{
pUsualLocationParcelId[count] = personDay.Household.ResidenceParcelId;
pUsualLocationParcel[count] = personDay.Household.ResidenceParcel;
pUsualLocationZoneId[count] = personDay.Household.ResidenceZoneId;
}
pPatternType[count] = personDay.PatternType;
pConstant[count] = 1;
pType8[count] = personDay.Person.IsChildUnder5.ToFlag();
pType7[count] = personDay.Person.IsChildAge5Through15.ToFlag();
pType6[count] = personDay.Person.IsDrivingAgeStudent.ToFlag();
pType5[count] = personDay.Person.IsUniversityStudent.ToFlag();
pType4[count] = personDay.Person.IsNonworkingAdult.ToFlag();
pType3[count] = personDay.Person.IsRetiredAdult.ToFlag();
pType2[count] = personDay.Person.IsPartTimeWorker.ToFlag();
pType1[count] = personDay.Person.IsFulltimeWorker.ToFlag();
pAdult[count] = personDay.Person.IsAdult.ToFlag();
pAdultWithChildrenUnder16[count] = (personDay.Person.IsAdult && personDay.Household.HasChildrenUnder16).ToFlag();
pAdultFemale[count] = personDay.Person.IsAdultFemale.ToFlag();
pType7AgeUnder12[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age < 12).ToFlag();
pType7Age12Plus[count] = (personDay.Person.IsChildAge5Through15 && personDay.Person.Age >= 12).ToFlag();
pAgeUnder12[count] = (personDay.Person.Age < 12).ToFlag();
pAge5To8[count] = (personDay.Person.Age >= 5 && personDay.Person.Age <= 8).ToFlag();
pAge9To12[count] = (personDay.Person.Age >= 9 && personDay.Person.Age <= 12).ToFlag();
pAge13To15[count] = (personDay.Person.Age >= 13 && personDay.Person.Age <= 15).ToFlag();
pAge[count] = personDay.Person.Age;
pDrivingAge[count] = personDay.Person.IsDrivingAge.ToFlag();
}
}
// set household characteristics here that do depend on person characteristics
//bool partTimeWorkerIsAvailable = false;
//for (int i = 1; i <= 5; i++) {
// if (pType2[i] == 1 && pPatternType[i] == Constants.PatternType.MANDATORY && pHTAvailable[i] == true)
// partTimeWorkerIsAvailable = true;
//
//}
// set person characteristics here that depend on household characteristics
//int[] pFullTimeWorkerButPartTimeWorkerIsAvailable = new int[6];
//for (int i = 1; i <= 5; i++) {
// if (pType1[i] == 1 && partTimeWorkerIsAvailable) {
// pFullTimeWorkerButPartTimeWorkerIsAvailable[i] = 1;
// }
//}
int componentIndex = 0;
//Create person utility components
int[] componentPerson = new int[6];
for (int p = 1; p <= 5; p++)
{
// create component for basic person-purposes
componentIndex++;
componentPerson[p] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentPerson[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(01, pType1[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(02, pType2[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(03, pType3[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(04, pType4[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(05, pType5[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(06, pType6[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(07, pType7[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(08, pType8[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(09, pAge5To8[p]);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(10, pAge9To12[p]);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(11, pAdultFemale[p]);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(12, pType1[p] * firstHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(13, pType1[p] * secondHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(14, pType2[p] * firstHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(15, pType2[p] * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(16, (1 - pAdult[p]) * firstHalfTour);
choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(17, (1 - pAdult[p]) * secondHalfTour);
//choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]).AddUtilityTerm(18, pFullTimeWorkerButPartTimeWorkerIsAvailable[p]);
}
//create two-way match interaction utility components
int[,] componentMatch = new int[6, 6];
int iMatchAgeUnder12 = 0;
int iMatchAdult = 0;
int iMatchAdultWithChildrenUnder16 = 0;
double distanceInMiles = 0;
double inverseOfDistanceInMiles = 0;
double logAgeDiffAdult = 0;
double logAgeDiffChild = 0;
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
//populate match variables
iMatchAgeUnder12 = pAgeUnder12[t1] * pAgeUnder12[t2];
iMatchAdult = pAdult[t1] * pAdult[t2];
iMatchAdultWithChildrenUnder16 = pAdultWithChildrenUnder16[t1] * pAdultWithChildrenUnder16[t2];
logAgeDiffChild = Math.Log(1 + Math.Abs(pAge[t1] - pAge[t2])) * (pAge[t1] <= 18).ToFlag() * (pAge[t2] <= 18).ToFlag();
logAgeDiffAdult = Math.Log(1 + Math.Abs(pAge[t1] - pAge[t2])) * (pAge[t1] >= 18).ToFlag() * (pAge[t2] >= 18).ToFlag();
distanceInMiles = 0;
inverseOfDistanceInMiles = 0;
if (pPatternType[t1] > 0 && pPatternType[t2] > 0)
{
double zzDist = ImpedanceRoster.GetValue("distance", Global.Settings.Modes.Sov, Global.Settings.PathTypes.FullNetwork, votValue, Global.Settings.Times.EightAM, pUsualLocationZoneId[t1], pUsualLocationZoneId[t2]).Variable;
double circuityDistance =
(zzDist > Global.Configuration.MaximumBlendingDistance || Global.Configuration.DestinationScale != Global.Settings.DestinationScales.Parcel)
? pUsualLocationParcel[t1].CalculateShortDistance(pUsualLocationParcel[t2], /* doNewCorrections */ false)
: Constants.DEFAULT_VALUE;
SkimValue skimValue =
Global.Configuration.DestinationScale != Global.Settings.DestinationScales.Parcel
? ImpedanceRoster.GetValue("ivtime", Global.Settings.Modes.Sov, Global.Settings.PathTypes.FullNetwork, votValue, Global.Settings.Times.EightAM, pUsualLocationZoneId[t1], pUsualLocationZoneId[t2])
: ImpedanceRoster.GetValue("ivtime", Global.Settings.Modes.Sov, Global.Settings.PathTypes.FullNetwork, votValue, Global.Settings.Times.EightAM, pUsualLocationParcel[t1], pUsualLocationParcel[t2], circuityDistance);
distanceInMiles = skimValue.BlendVariable;
inverseOfDistanceInMiles = 1 / (Math.Max(0.1, distanceInMiles));
}
//create and populate components
componentIndex++;
componentMatch[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentMatch[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(21, iMatchAdultWithChildrenUnder16);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(22, inverseOfDistanceInMiles);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(23, logAgeDiffChild);
choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]).AddUtilityTerm(24, logAgeDiffAdult);
}
}
//create two-way cross interaction utility components
int[,] componentCross = new int[6, 6];
int iCrossAgeUnderTwelveAndAdult = 0;
//int iCrossAge13To15AndAdultFemale = 0;
//int iCrossAge9To12AndAdultFemale = 0;
//int iCrossAge5To8AndAdultFemale = 0;
//int iCrossAgeUnder5AndAdultFemale = 0;
//int iCrossAgeUnder5AndFTWorker = 0;
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
//populate cross variables
iCrossAgeUnderTwelveAndAdult = pAgeUnder12[t1] * pAdult[t2];
//iCrossAge13To15AndAdultFemale = pAge13To15[t1] * pAdultFemale[t2];
//iCrossAge9To12AndAdultFemale = pAge9To12[t1] * pAdultFemale[t2];
//iCrossAge5To8AndAdultFemale = pAge5To8[t1] * pAdultFemale[t2];
//iCrossAgeUnder5AndAdultFemale = pType8[t1] * pAdultFemale[t2];
//iCrossAgeUnder5AndFTWorker = pType8[t1] * pType1[t2];
//create and populate cross components
componentIndex++;
componentCross[t1, t2] = componentIndex;
choiceProbabilityCalculator.CreateUtilityComponent(componentCross[t1, t2]);
choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(41, iCrossAgeUnderTwelveAndAdult);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(42, iCrossAge13To15AndAdultFemale);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(43, iCrossAge9To12AndAdultFemale);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(44, iCrossAge5To8AndAdultFemale);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(45, iCrossAgeUnder5AndAdultFemale);
//choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]).AddUtilityTerm(46, iCrossAgeUnder5AndFTWorker);
}
}
}
//Generate utility funtions for the alternatives
bool[] available = new bool[32];
bool[] chosen = new bool[32];
for (int alt = 0; alt < 32; alt++)
{
available[alt] = false;
chosen[alt] = false;
// set availability based on household size
if (hhsize >= altParticipants[alt][6])
{
available[alt] = true;
}
// restrict availability based on person unavailability
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && (jHTAvailable[genChoice - 1, i] == false || pHTAvailable[i] == false))
{
available[alt] = false;
}
}
// restrict availability if nobody is an driving age
bool altHasDrivingAge = false;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && pDrivingAge[i] > 0)
{
altHasDrivingAge = true;
}
}
if (!altHasDrivingAge)
{
available[alt] = false;
}
// restrict availability if anybody has nonMandatory pattern type
bool altHasNonMandatoryPatternType = false;
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1 && !(pPatternType[i] == Global.Settings.PatternTypes.Mandatory))
{
altHasNonMandatoryPatternType = true;
}
}
if (altHasNonMandatoryPatternType)
{
available[alt] = false;
}
// restrict availability of alts that include less than 2 participants
if (altParticipants[alt][7] < 2)
{
available[alt] = false;
}
//Generate alt-specific variables
int numberOfParticipatingAdults = 0;
int numberOfParticipatingChildren = 0;
//bool includesAllMandatoryPatternPersons = true;
if (available[alt] == true)
{
for (int i = 1; i <= 5; i++)
{
if (altParticipants[alt][i] == 1)
{
// totalParticipants++;
if (pAdult[i] == 1)
{
numberOfParticipatingAdults++;
}
if (pAdult[i] == 0)
{
numberOfParticipatingChildren++;
}
}
//else if (pPatternType[i] == Constants.PatternType.MANDATORY && pHTAvailable[i] == true) { includesAllMandatoryPatternPersons = false; }
}
}
// determine choice
if (choice == alt)
{
chosen[alt] = true;
}
//Get the alternative
ChoiceProbabilityCalculator.Alternative alternative = choiceProbabilityCalculator.GetAlternative(alt, available[alt], chosen[alt]);
alternative.Choice = alt;
//Add alt-specific utility terms
alternative.AddUtilityTerm(61, (numberOfParticipatingAdults > 1 && numberOfParticipatingChildren > 0) ? 1 : 0);
//alternative.AddUtilityTerm(62, includesAllMandatoryPatternPersons.ToFlag());
//Add utility components
for (int p = 1; p <= 5; p++)
{
if (altParticipants[alt][p] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentPerson[p]));
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 < t2; t1++)
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentMatch[t1, t2]));
}
}
}
for (int t2 = 1; t2 <= 5; t2++)
{
for (int t1 = 1; t1 <= 5; t1++)
{
if (!(t1 == t2))
{
if (altParticipants[alt][t1] == 1 && altParticipants[alt][t2] == 1)
{
alternative.AddUtilityComponent(choiceProbabilityCalculator.GetUtilityComponent(componentCross[t1, t2]));
}
}
}
}
}
}