internal int[][] Resolve(ModeChoiceHouseholdData householdData, IVehicleType[] vehicleTypes, int hhldIterations)
{
// check if there are no vehicles
var vehicles = household.Vehicles;
if (vehicles.Length == 0)
{
return(Resolution);
}
// if we actually have to compute something go and do it
if (hhldIterations > 0)
{
ClearData();
}
// check to see if we have enough resources for everyone
if (vehicleTypes.Length == 1)
{
if (!ProcessSingleVehicleType(householdData, vehicleTypes, vehicles))
{
return(null);
}
}
else
{
throw new NotImplementedException("We will get to more than one vehicle type later!");
}
return(Resolution);
}
private void AssignBestToAll(ModeChoiceHouseholdData householdData)
{
for (int i = 0; i < householdData.PersonData.Length; i++)
{
var person = householdData.PersonData[i];
for (int j = 0; j < person.TripChainData.Length; j++)
{
var tc = person.TripChainData[j];
var bestU = float.NegativeInfinity;
var index = -1;
for (int k = 0; k < tc.BestPossibleAssignmentForVehicleType.Length; k++)
{
var assignment = tc.BestPossibleAssignmentForVehicleType[k];
if (assignment != null)
{
if (assignment.U >= bestU)
{
index = k;
bestU = assignment.U;
}
}
}
Resolution[i][j] = index;
}
}
}
private void AssignBest(ModeChoiceHouseholdData householdData, ITripChain[][] personConflicts, bool[][] bestAssignment)
{
for (int i = 0; i < householdData.PersonData.Length; i++)
{
var person = householdData.PersonData[i];
for (int j = 0; j < person.TripChainData.Length; j++)
{
var tc = person.TripChainData[j];
var bestU = float.NegativeInfinity;
int index;
if ((index = IndexOf(tc.TripChain, personConflicts[i])) != -1)
{
index = bestAssignment[i][index] ? 1 : 0;
}
else
{
index = -1;
for (int k = 0; k < tc.BestPossibleAssignmentForVehicleType.Length; k++)
{
var assignment = tc.BestPossibleAssignmentForVehicleType[k];
if (assignment != null)
{
if (assignment.U >= bestU)
{
index = k;
bestU = assignment.U;
}
}
}
}
Resolution[i][j] = index;
}
}
}
private void ProcessRideshare(ModeChoiceHouseholdData householdData)
{
if (Rideshare == null)
{
return;
}
var numberOfPeople = householdData.PersonData.Length;
var autoIndex = Root.AllModes.IndexOf(AutoMode);
var rideshareIndex = Root.AllModes.IndexOf(Rideshare);
for (int i = 0; i < numberOfPeople; i++)
{
var tripChainData = householdData.PersonData[i].TripChainData;
var numberOfTripChains = tripChainData.Length;
for (int j = 0; j < numberOfTripChains; j++)
{
if (tripChainData[j].TripChain.JointTripRep)
{
var trips = tripChainData[j].TripChain.Trips;
var numberOfTrips = trips.Count;
for (int k = 0; k < numberOfTrips; k++)
{
if (trips[k].Mode == AutoMode)
{
trips[k].Mode = Rideshare;
householdData.PersonData[i].TripChainData[j].TripData[k].V[rideshareIndex]
= householdData.PersonData[i].TripChainData[j].TripData[k].V[autoIndex];
householdData.PersonData[i].TripChainData[j].TripData[k].Error[rideshareIndex]
= householdData.PersonData[i].TripChainData[j].TripData[k].Error[autoIndex];
}
}
}
}
}
}
private bool ProcessSingleVehicleType(ModeChoiceHouseholdData householdData, IVehicleType[] vehicleTypes, IVehicle[] vehicles)
{
// check to see if there are as many vehicles as number of people
int activeVehicles = vehicles.Length;
var numberOfPeople = Resolution.Length;
// See if we have at least the same number of the vehicle type than people that can use it
if (activeVehicles >= numberOfPeople || CheckPossibleUsers(householdData, vehicleTypes, vehicles))
{
// Assign to anyone who wants one
AssignBestToAll(householdData);
return(true);
}
//Check users at time of day
if (CheckPossibleUsersAtTimeOfDay(householdData, vehicleTypes, vehicles))
{
AssignBestToAll(householdData);
return(true);
}
if (ProcessHardSingleVehicleCase(householdData, vehicleTypes, vehicles))
{
return(true);
}
return(false);
//throw new XTMFRuntimeException( "Failed to assign vehicles for household #" + this.household.HouseholdId + "!" );
}
private bool RecursiveExplore(ModeChoiceHouseholdData householdData, int numberOfResource, bool[][] assignResource, bool[][] bestAssignment, ITripChain[][] personConflicts, int person, int tIndex)
{
var any = false;
if (tIndex < assignResource[person].Length)
{
assignResource[person][tIndex] = false;
if (RecursiveExplore(householdData, numberOfResource, assignResource, bestAssignment, personConflicts, person, tIndex + 1))
{
any = true;
}
assignResource[person][tIndex] = true;
if (RecursiveExplore(householdData, numberOfResource, assignResource, bestAssignment, personConflicts, person, tIndex + 1))
{
any = true;
}
return(any);
}
if (assignResource.Length == person + 1)
{
if (IsValidAssignment(numberOfResource, assignResource, personConflicts, householdData, out float utility))
{
if (utility > BestConflictUtility)
{
BestConflictUtility = utility;
AssignToBest(assignResource, bestAssignment);
}
return(true);
}
return(false);
}
return(RecursiveExplore(householdData, numberOfResource, assignResource, bestAssignment, personConflicts, person + 1, 0));
}
public PassengerMatchingAlgorithm(ITashaHousehold household, ModeChoiceHouseholdData householdData, ITashaPassenger passengerMode, ITashaMode[] modes)
{
Household = household;
HouseholdData = householdData;
PassengerMode = passengerMode;
Modes = modes;
PotentialTrips = new List <PotentialPassengerTrip>();
Conflicts = new List <Conflict>();
IndexOfPassenger = IndexOf(passengerMode, modes);
}
private void FinalAssignment(ModeChoiceHouseholdData householdData, int householdIteration)
{
ModeChoicePersonData[] personData = householdData.PersonData;
for (int i = 0; i < personData.Length; i++)
{
var tripChainData = personData[i].TripChainData;
for (int j = 0; j < tripChainData.Length; j++)
{
tripChainData[j].FinalAssignment(householdIteration);
}
}
}
private bool CheckPossibleUsers(ModeChoiceHouseholdData householdData, IVehicleType[] vehicleTypes, IVehicle[] vehicles)
{
int numberOfUsers = 0;
var typeZero = vehicleTypes[0];
for (int i = 0; i < Resolution.Length; i++)
{
if (typeZero.CanUse(household.Persons[i]))
{
numberOfUsers++;
}
}
return(vehicles.Length >= numberOfUsers);
}
private void RegenerateErrorTerms(ModeChoiceHouseholdData householdData, Random random)
{
for (int i = 0; i < householdData.PersonData.Length; i++)
{
var person = householdData.PersonData[i];
for (int j = 0; j < person.TripChainData.Length; j++)
{
var tripChain = person.TripChainData[j];
if (!(tripChain.TripChain.JointTrip && !tripChain.TripChain.JointTripRep))
{
// now we can compute the random terms
tripChain.GenerateRandomTerms(random, VarianceScale);
}
}
}
}
private void AssignBestPerVehicle(List <IVehicleType> list, ModeChoiceHouseholdData householdData)
{
var modes = Root.NonSharedModes;
// Go through all of the possible assignments and get the best one per vehicle
for (int i = 0; i < householdData.PersonData.Length; i++)
{
var person = householdData.PersonData[i];
for (int j = 0; j < person.TripChainData.Length; j++)
{
var tripChain = person.TripChainData[j];
if (!(tripChain.TripChain.JointTrip && !tripChain.TripChain.JointTripRep))
{
tripChain.SelectBestPerVehicleType(modes, list);
}
}
}
}
private bool ProcessHardSingleVehicleCase(ModeChoiceHouseholdData householdData, IVehicle[] vehicles)
{
var persons = household.Persons;
var numberOfPeople = persons.Length;
ITripChain[][] personConflicts = new ITripChain[numberOfPeople][];
bool[][] assignResource = new bool[numberOfPeople][];
bool[][] bestAssignment = new bool[numberOfPeople][];
// Initialize our data with the unique trip chains in conflict
InitializeProcessHardSingleVehicleCaseData(personConflicts, assignResource, bestAssignment);
BestConflictUtility = float.NegativeInfinity;
if (RecursiveExplore(householdData, vehicles.Length, assignResource, bestAssignment, personConflicts, 0, 0))
{
AssignBest(householdData, personConflicts, bestAssignment);
return(true);
}
return(false);
}
private void AssignModes(int[][] resolution, ModeChoiceHouseholdData householdData)
{
var modes = Root.NonSharedModes;
var numberOfPeople = resolution.Length;
for (int i = 0; i < numberOfPeople; i++)
{
var tripChainData = householdData.PersonData[i].TripChainData;
var numberOfTripChains = tripChainData.Length;
for (int j = 0; j < numberOfTripChains; j++)
{
if (!(tripChainData[j].TripChain.JointTrip && !tripChainData[j].TripChain.JointTripRep))
{
tripChainData[j].Assign(resolution[i][j], modes);
}
}
}
}
private bool ComputeUtilityOfAssignment(ModeChoiceHouseholdData householdData, bool[][] assignment, ITripChain[][] conflictTripChains, out float utility)
{
var sum = 0f;
for (int i = 0; i < assignment.Length; i++)
{
var row = assignment[i];
for (int j = 0; j < row.Length; j++)
{
var u = householdData.PersonData[i].TripChainData[IndexOf(conflictTripChains[i][j], household.Persons[i].TripChains)]
.BestPossibleAssignmentForVehicleType[row[j] ? 1 : 0];
if (u == null)
{
utility = float.NegativeInfinity;
return(false);
}
sum += u.U;
}
}
utility = sum;
return(true);
}
private bool Pass1(ModeChoiceHouseholdData householdData, Random random)
{
var nonSharedModes = NonSharedModes;
for (int i = 0; i < householdData.PersonData.Length; i++)
{
var person = householdData.PersonData[i];
for (int j = 0; j < person.TripChainData.Length; j++)
{
var tripChain = person.TripChainData[j];
if (!(tripChain.TripChain.JointTrip && !tripChain.TripChain.JointTripRep))
{
if (!tripChain.Pass1(nonSharedModes))
{
return(false);
}
// now we can compute the random terms
tripChain.GenerateRandomTerms(random, VarianceScale);
}
}
}
return(true);
}
private void RegenerateErrorTerms(ModeChoiceHouseholdData householdData, Random random)
{
var allModes = AllModes;
for ( int i = 0; i < householdData.PersonData.Length; i++ )
{
var person = householdData.PersonData[i];
for ( int j = 0; j < person.TripChainData.Length; j++ )
{
var tripChain = person.TripChainData[j];
if ( !( tripChain.TripChain.JointTrip && !tripChain.TripChain.JointTripRep ) )
{
// now we can compute the random terms
tripChain.GenerateRandomTerms( random, VarianceScale );
}
}
}
}
private bool IsValidAssignment(int numberOfResource, bool[][] assignment, ITripChain[][] conflictTripChains, ModeChoiceHouseholdData householdData, out float utility)
{
var persons = household.Persons;
var conflicts = Conflicts;
var numberOfConflicts = conflicts.Count;
utility = float.NegativeInfinity;
for (int i = 0; i < numberOfConflicts; i++)
{
var chainsInConflict = conflicts[i].TripChains;
var numberOfChainsInConflict = chainsInConflict.Count;
var assignedCount = 0;
for (int j = 0; j < numberOfChainsInConflict; j++)
{
var personIndex = IndexOf(chainsInConflict[j].Person, persons);
var chainIndex = IndexOf(chainsInConflict[j], conflictTripChains[personIndex]);
if (assignment[personIndex][chainIndex])
{
assignedCount++;
}
}
if (assignedCount > numberOfResource)
{
return(false);
}
}
// Since this is a valid assignment compute the utility of the assignment
return(ComputeUtilityOfAssignment(householdData, assignment, conflictTripChains, out utility));
}
private bool CheckPossibleUsersAtTimeOfDay(ModeChoiceHouseholdData householdData, IVehicleType[] vehicleTypes, IVehicle[] vehicles)
{
if (Conflicts == null)
{
Conflicts = new List <Conflict>();
}
else
{
Conflicts.Clear();
}
if (Scan == null)
{
Scan = new CurrentPosition[Resolution.Length];
}
for (int i = 0; i < Scan.Length; i++)
{
Scan[i] = new CurrentPosition()
{
Position = 0, TripChains = household.Persons[i].TripChains, HasBeenProcessed = false
};
}
List <ITripChain> activeTours = new List <ITripChain>(vehicles.Length);
var endOfDay = new Time()
{
Hours = 28
};
while (true)
{
int nextPerson = -1;
Time nextTime = endOfDay;
for (int i = 0; i < Scan.Length; i++)
{
if (Scan[i].Position < Scan[i].TripChains.Count)
{
var personNextStartTime = Scan[i].TripChains[Scan[i].Position].StartTime;
if (personNextStartTime < nextTime)
{
nextTime = personNextStartTime;
nextPerson = i;
}
}
}
if (nextPerson == -1)
{
break;
}
for (int i = 0; i < activeTours.Count; i++)
{
if (activeTours[i].EndTime <= nextTime)
{
activeTours.RemoveAt(i);
i--;
}
}
var nextTourData = householdData.PersonData[nextPerson].TripChainData[Scan[nextPerson].Position];
// if it isn't a joint trip not made by the representative
if (!(nextTourData.TripChain.JointTrip && !nextTourData.TripChain.JointTripRep))
{
// and they want a car
if (nextTourData.BestPossibleAssignmentForVehicleType[1] != null &&
nextTourData.BestPossibleAssignmentForVehicleType[1].U >= (nextTourData.BestPossibleAssignmentForVehicleType[0] == null ? float.NegativeInfinity : nextTourData.BestPossibleAssignmentForVehicleType[0].U))
{
var tc = Scan[nextPerson].TripChains[Scan[nextPerson].Position];
for (int j = 0; j < tc.Trips.Count; j++)
{
tc.Trips[j].Mode = Modes[nextTourData.BestPossibleAssignmentForVehicleType[1].PickedModes[j]];
}
activeTours.Add(tc);
// There could be a conflict for this vehicle's allocation
if (activeTours.Count > vehicles.Length)
{
Conflicts.Add(new Conflict()
{
TripChains = Clone(activeTours)
});
}
}
}
Scan[nextPerson].Position++;
}
return(Conflicts.Count == 0);
}
public bool Run(ITashaHousehold household)
{
if (MaxTripChainSize > 0)
{
if (AnyOverMaxTripChainSize(household))
{
return(false);
}
}
Random random = new Random(RandomSeed + household.HouseholdId);
ModeChoiceHouseholdData householdData = new ModeChoiceHouseholdData(household, AllModes.Length, VehicleTypes.Length + 1);
HouseholdResourceAllocator householdResourceAllocator = new HouseholdResourceAllocator(household, AllModes);
PassengerMatchingAlgorithm passengerMatchingAlgorithm = null;
// attach this so analysis modules can look at it later
household.Attach("ModeChoiceData", householdData);
household.Attach("ResourceAllocator", householdResourceAllocator);
if (PassengerMode != null)
{
passengerMatchingAlgorithm = new PassengerMatchingAlgorithm(household, householdData, PassengerMode, AllModes);
household.Attach("PassengerMatchingAlgorithm", passengerMatchingAlgorithm);
}
for (int i = 0; i < PostHouseholdIteration.Length; i++)
{
PostHouseholdIteration[i].HouseholdStart(household, HouseholdIterations);
}
if (!Pass1(householdData, random))
{
for (int i = 0; i < PostHouseholdIteration.Length; i++)
{
PostHouseholdIteration[i].HouseholdComplete(household, false);
}
return(false);
}
for (int householdIteration = 0; householdIteration < HouseholdIterations; householdIteration++)
{
if (householdIteration > 0)
{
RegenerateErrorTerms(householdData, random);
}
// Start of Pass 2
AssignBestPerVehicle(Root.VehicleTypes, householdData);
var resolution = householdResourceAllocator.Resolve(householdData, VehicleTypes, householdIteration);
if (resolution == null)
{
for (int i = 0; i < PostHouseholdIteration.Length; i++)
{
PostHouseholdIteration[i].HouseholdComplete(household, false);
}
// failure
return(false);
}
AssignModes(resolution, householdData);
householdResourceAllocator.BuildVehicleAvailabilities(householdData, household.Vehicles);
// Start of Pass 2.5 ( rideshare )
ProcessRideshare(householdData);
// Start of Pass 3 (Passenger attaching to trip chains)
if (passengerMatchingAlgorithm != null)
{
passengerMatchingAlgorithm.GeneratePotentialPassengerTrips(random);
passengerMatchingAlgorithm.ResolvePassengerTrips();
// Start of Pass 4 (Passenger attaching to new trips coming from home)
passengerMatchingAlgorithm.GeneratePotentialPassengerTrips(random, false, householdResourceAllocator);
passengerMatchingAlgorithm.ResolvePassengerTrips();
}
// Now at the end add to chosen modes (And assign joint trips)
FinalAssignment(householdData, householdIteration);
for (int i = 0; i < PostHouseholdIteration.Length; i++)
{
PostHouseholdIteration[i].HouseholdIterationComplete(household, householdIteration, HouseholdIterations);
}
}
for (int i = 0; i < PostHouseholdIteration.Length; i++)
{
PostHouseholdIteration[i].HouseholdComplete(household, true);
}
return(true);
}
public bool Run(ITashaHousehold household)
{
if(MaxTripChainSize > 0)
{
if(AnyOverMaxTripChainSize(household))
{
return false;
}
}
Random random = new Random( RandomSeed + household.HouseholdId );
ModeChoiceHouseholdData householdData = new ModeChoiceHouseholdData( household, AllModes.Length, VehicleTypes.Length + 1 );
HouseholdResourceAllocator householdResourceAllocator = new HouseholdResourceAllocator( household, AllModes );
PassengerMatchingAlgorithm passengerMatchingAlgorithm = null;
// attach this so analysis modules can look at it later
household.Attach( "ModeChoiceData", householdData );
household.Attach( "ResourceAllocator", householdResourceAllocator );
if ( PassengerMode != null )
{
passengerMatchingAlgorithm = new PassengerMatchingAlgorithm( household, householdData, PassengerMode, AllModes );
household.Attach( "PassengerMatchingAlgorithm", passengerMatchingAlgorithm );
}
for ( int i = 0; i < PostHouseholdIteration.Length; i++ )
{
PostHouseholdIteration[i].HouseholdStart( household, HouseholdIterations );
}
if ( !Pass1( householdData, random ) )
{
for ( int i = 0; i < PostHouseholdIteration.Length; i++ )
{
PostHouseholdIteration[i].HouseholdComplete( household, false );
}
return false;
}
for ( int householdIteration = 0; householdIteration < HouseholdIterations; householdIteration++ )
{
if ( householdIteration > 0 )
{
RegenerateErrorTerms( householdData, random );
}
// Start of Pass 2
AssignBestPerVehicle( Root.VehicleTypes, householdData, householdIteration );
var resolution = householdResourceAllocator.Resolve( householdData, VehicleTypes, householdIteration );
if ( resolution == null )
{
for ( int i = 0; i < PostHouseholdIteration.Length; i++ )
{
PostHouseholdIteration[i].HouseholdComplete( household, false );
}
// failure
return false;
}
AssignModes( resolution, householdData );
householdResourceAllocator.BuildVehicleAvailabilities( householdData, household.Vehicles );
// Start of Pass 2.5 ( rideshare )
ProcessRideshare( householdData );
// Start of Pass 3 (Passenger attaching to trip chains)
if ( passengerMatchingAlgorithm != null )
{
passengerMatchingAlgorithm.GeneratePotentialPassengerTrips( random, true );
passengerMatchingAlgorithm.ResolvePassengerTrips();
// Start of Pass 4 (Passenger attaching to new trips coming from home)
passengerMatchingAlgorithm.GeneratePotentialPassengerTrips( random, false, householdResourceAllocator );
passengerMatchingAlgorithm.ResolvePassengerTrips();
}
// Now at the end add to chosen modes (And assign joint trips)
FinalAssignment( householdData, householdIteration );
for ( int i = 0; i < PostHouseholdIteration.Length; i++ )
{
PostHouseholdIteration[i].HouseholdIterationComplete( household, householdIteration, HouseholdIterations );
}
}
for ( int i = 0; i < PostHouseholdIteration.Length; i++ )
{
PostHouseholdIteration[i].HouseholdComplete( household, true );
}
return true;
}
private void AssignBestPerVehicle(List<IVehicleType> list, ModeChoiceHouseholdData householdData, int householdIteration)
{
var modes = Root.NonSharedModes;
// Go through all of the possible assignments and get the best one per vehicle
for ( int i = 0; i < householdData.PersonData.Length; i++ )
{
var person = householdData.PersonData[i];
for ( int j = 0; j < person.TripChainData.Length; j++ )
{
var tripChain = person.TripChainData[j];
if ( !( tripChain.TripChain.JointTrip && !tripChain.TripChain.JointTripRep ) )
{
tripChain.SelectBestPerVehicleType( modes, list );
}
}
}
}
private void AssignModes(int[][] resolution, ModeChoiceHouseholdData householdData)
{
var modes = Root.NonSharedModes;
var numberOfPeople = resolution.Length;
for ( int i = 0; i < numberOfPeople; i++ )
{
var tripChainData = householdData.PersonData[i].TripChainData;
var numberOfTripChains = tripChainData.Length;
for ( int j = 0; j < numberOfTripChains; j++ )
{
if ( !( tripChainData[j].TripChain.JointTrip && !tripChainData[j].TripChain.JointTripRep ) )
{
tripChainData[j].Assign( resolution[i][j], modes );
}
}
}
}
public void BuildVehicleAvailabilities(ModeChoiceHouseholdData householdData, IVehicle[] vehicles)
{
int numberOfVehicles = vehicles.Length;
var numberOfPeople = Resolution.Length;
if (numberOfVehicles == 0)
{
return;
}
VehicleAvailability = new List <VehicleAllocationWindow>();
if (Scan == null)
{
Scan = new CurrentPosition[numberOfPeople];
}
for (int i = 0; i < numberOfPeople; i++)
{
Scan[i] = new CurrentPosition()
{
Position = 0, TripChains = household.Persons[i].TripChains, HasBeenProcessed = false
};
}
List <ITripChain> activeTours = new List <ITripChain>(numberOfVehicles);
var endOfDay = new Time()
{
Hours = 28
};
Time previousAllocationTime = Time.StartOfDay;
while (true)
{
int nextPerson = -1;
Time nextTime = endOfDay;
for (int i = 0; i < numberOfPeople; i++)
{
if (Scan[i].Position < Scan[i].TripChains.Count)
{
var personNextStartTime = Scan[i].TripChains[Scan[i].Position].StartTime;
if (personNextStartTime < nextTime)
{
nextTime = personNextStartTime;
nextPerson = i;
}
}
}
if (nextPerson == -1)
{
break;
}
while (true)
{
Time earliestEnd = nextTime;
int earliestIndex = -1;
var length = activeTours.Count;
for (int i = 0; i < length; i++)
{
if (activeTours[i].EndTime <= earliestEnd)
{
earliestIndex = i;
earliestEnd = activeTours[i].EndTime;
}
}
if (earliestIndex >= 0)
{
VehicleAvailability.Add(new VehicleAllocationWindow()
{
TimeSpan = new TashaTimeSpan(previousAllocationTime, earliestEnd),
AvailableCars = numberOfVehicles - activeTours.Count
});
previousAllocationTime = earliestEnd;
activeTours.RemoveAt(earliestIndex);
continue;
}
break;
}
var nextTourData = householdData.PersonData[nextPerson].TripChainData[Scan[nextPerson].Position];
// if it isn't a joint trip not made by the representative
if (!(nextTourData.TripChain.JointTrip && !nextTourData.TripChain.JointTripRep))
{
if (Resolution[nextPerson][Scan[nextPerson].Position] > 0)
{
var endTime = nextTourData.TripChain.StartTime;
VehicleAvailability.Add(new VehicleAllocationWindow()
{
TimeSpan = new TashaTimeSpan(previousAllocationTime, endTime),
AvailableCars = numberOfVehicles - activeTours.Count
});
previousAllocationTime = endTime;
activeTours.Add(nextTourData.TripChain);
}
}
Scan[nextPerson].Position++;
// now check to see if the next trip wants to be
// at the end of this step fail if there are more active users than vehicles
}
while (true)
{
Time earliestEnd = Time.EndOfDay;
int earliestIndex = -1;
var length = activeTours.Count;
for (int i = 0; i < length; i++)
{
if (activeTours[i].EndTime <= earliestEnd)
{
earliestIndex = i;
earliestEnd = activeTours[i].EndTime;
}
}
if (earliestIndex >= 0)
{
VehicleAvailability.Add(new VehicleAllocationWindow()
{
TimeSpan = new TashaTimeSpan(previousAllocationTime, earliestEnd),
AvailableCars = numberOfVehicles - activeTours.Count
});
previousAllocationTime = earliestEnd;
activeTours.RemoveAt(earliestIndex);
continue;
}
break;
}
VehicleAvailability.Add(new VehicleAllocationWindow()
{
TimeSpan = new TashaTimeSpan(previousAllocationTime, Time.EndOfDay),
AvailableCars = numberOfVehicles // activeTours.Count is 0
});
}
private void FinalAssignment(ModeChoiceHouseholdData householdData, int householdIteration)
{
ModeChoicePersonData[] personData = householdData.PersonData;
for ( int i = 0; i < personData.Length; i++ )
{
var tripChainData = personData[i].TripChainData;
for ( int j = 0; j < tripChainData.Length; j++ )
{
tripChainData[j].FinalAssignment( householdIteration );
}
}
}
private void ProcessRideshare(ModeChoiceHouseholdData householdData)
{
if ( Rideshare == null )
{
return;
}
var numberOfPeople = householdData.PersonData.Length;
var autoIndex = Root.AllModes.IndexOf( AutoMode );
var rideshareIndex = Root.AllModes.IndexOf( Rideshare );
for ( int i = 0; i < numberOfPeople; i++ )
{
var tripChainData = householdData.PersonData[i].TripChainData;
var numberOfTripChains = tripChainData.Length;
for ( int j = 0; j < numberOfTripChains; j++ )
{
if ( tripChainData[j].TripChain.JointTripRep )
{
var trips = tripChainData[j].TripChain.Trips;
var numberOfTrips = trips.Count;
for ( int k = 0; k < numberOfTrips; k++ )
{
if ( trips[k].Mode == AutoMode )
{
trips[k].Mode = Rideshare;
householdData.PersonData[i].TripChainData[j].TripData[k].V[rideshareIndex]
= householdData.PersonData[i].TripChainData[j].TripData[k].V[autoIndex];
householdData.PersonData[i].TripChainData[j].TripData[k].Error[rideshareIndex]
= householdData.PersonData[i].TripChainData[j].TripData[k].Error[autoIndex];
}
}
}
}
}
}
private bool Pass1(ModeChoiceHouseholdData householdData, Random random)
{
var allModes = AllModes;
var nonSharedModes = NonSharedModes;
for ( int i = 0; i < householdData.PersonData.Length; i++ )
{
var person = householdData.PersonData[i];
for ( int j = 0; j < person.TripChainData.Length; j++ )
{
var tripChain = person.TripChainData[j];
if ( !( tripChain.TripChain.JointTrip && !tripChain.TripChain.JointTripRep ) )
{
if ( !tripChain.Pass1( nonSharedModes ) )
{
return false;
}
// now we can compute the random terms
tripChain.GenerateRandomTerms( random, VarianceScale);
}
}
}
return true;
}
