private List<SimulationObject> GenerateHousholds(SpatialZone currZone, int numHousehold,
Household initAgent, bool warmUpStatus,
List<ConditionalDistribution> mobelCond,
OutputFileWriter currWriter)
{
int seltdDim = 0;
List<ConditionalDistribution> condList = currZone.GetDataHhldCollectionsList();
for(int i = 0; i < mobelCond.Count; i++)
{
condList.Add(mobelCond[i]);
}
var generatedAgents = new List<SimulationObject>();
Household prevAgent = initAgent;
ImportanceSampler currImpSampler = new ImportanceSampler();
MetropolisHasting currMHSampler = new MetropolisHasting();
int iter = 0;
if(warmUpStatus == true)
{
iter = Constants.WARMUP_ITERATIONS;
}
else
{
iter = Constants.SKIP_ITERATIONS * numHousehold;
}
Household newAgent = new Household();
StringBuilder builder = new StringBuilder();
for(int i = 0; i < iter; i++)
{
seltdDim = randGen.NextInRange(0, condList.Count - 1);
ConditionalDistribution currDist = condList[seltdDim];
// If the selected distribution is dwelling/cars
// call important sampling
/*if (currDist.GetDimensionName() == "DwellingType")
{
newAgent = currImpSampler.GetNextAgent(currZone.myDwellMarginal,
currDist, currDist.GetDimensionName(),
prevAgent, currZone);
}
else if (currDist.GetDimensionName() == "NumOfCars")
{
newAgent = currImpSampler.GetNextAgent(currZone.myCarsMarginal,
currDist, currDist.GetDimensionName(),
prevAgent, currZone);
}*/
// If the selected distribution is income
// call MH
// else if (((ConditionalDistribution)condList[seltdDim])
// .GetDimensionName() == "IncomeLevel")
// {
// newAgent = myMHSampler.GetNextAgent((ModelDistribution)currDist,
// currDist.GetDimensionName(), prevAgent, currZone);
// }
if(currDist.GetDimensionName() == "HouseholdSize")
{
newAgent = (Household)currImpSampler.GetNextAgent(
currZone.GetHousholdSizeDist(),
currDist, currDist.GetDimensionName(),
prevAgent, currZone);
}
else
{
var currComm = currDist.GetCommulativeValue(
prevAgent.GetNewJointKey(currDist.GetDimensionName())
, currZone);
newAgent = (Household)GenerateNextAgent(currComm, prevAgent,
currDist.GetDimensionName());
}
prevAgent = newAgent;
if(warmUpStatus == false && (i % Constants.SKIP_ITERATIONS == 0))
{
generatedAgents.Add(newAgent);
uint currIncome = IncomeConvertor.GetEuroIncome((uint)
newAgent.GetIncome());
builder.Append(newAgent.GetZoneID()); builder.Append(',');
builder.Append(currZone.GetEPFLName()); builder.Append(',');
builder.Append((int)newAgent.GetHhldSize()); builder.Append(',');
builder.Append((int)newAgent.GetNumOfWorkers()); builder.Append(',');
builder.Append((int)newAgent.GetNumOfKids()); builder.Append(',');
builder.Append((int)newAgent.GetNumOfUnivDegree()); builder.Append(',');
builder.Append((int)newAgent.GetIncomeLevel()); builder.Append(',');
builder.Append((int)newAgent.GetNumOfCars()); builder.Append(',');
builder.Append((int)newAgent.GetDwellingType());
currWriter.WriteToFile(builder.ToString());
builder.Clear();
}
}
return generatedAgents;
}
private List<SimulationObject> GeneratePersons(SpatialZone currZone, int numPerson,
Person initAgent, bool warmUpStatus,
OutputFileWriter currWriter)
{
int seltdDim = 0;
List<ConditionalDistribution> condList = currZone.GetPersonDataCollectionsList();
var generatedAgents = new List<SimulationObject>();
Person prevAgent = initAgent;
ImportanceSampler currImpSampler = new ImportanceSampler();
int iter = 0;
if(warmUpStatus == true)
{
iter = Constants.WARMUP_ITERATIONS;
}
else
{
iter = Constants.SKIP_ITERATIONS * numPerson;
}
Person newAgent = new Person();
StringBuilder builder = new StringBuilder();
for(int i = 0; i < iter; i++)
{
seltdDim = randGen.NextInRange(0, condList.Count - 1);
DiscreteCondDistribution currDist =
(DiscreteCondDistribution)condList[seltdDim];
/*if (currDist.GetDimensionName() == "HouseholdSize2")
{
newAgent = (Person) currImpSampler.GetNextAgent(
currZone.myHhldSize2Marginal,
currDist, currDist.GetDimensionName(),
(SimulationObject) prevAgent, currZone);
}
else if (currDist.GetDimensionName() == "Age")
{
newAgent = (Person)currImpSampler.GetNextAgent(
currZone.myAgeMarginal,
currDist, currDist.GetDimensionName(),
(SimulationObject)prevAgent, currZone);
}
else*/
if(currDist.GetDimensionName() == "Sex")
{
newAgent = (Person)currImpSampler.GetNextAgent(
currZone.mySexMarginal,
currDist, currDist.GetDimensionName(),
(SimulationObject)prevAgent, currZone);
}
/*else if (currDist.GetDimensionName() == "EducationLevel")
{
newAgent = (Person)currImpSampler.GetNextAgent(
currZone.myEducationMarginal,
currDist, currDist.GetDimensionName(),
(SimulationObject)prevAgent, currZone);
}*/
else
{
List<KeyValPair> currComm = currDist.GetCommulativeValue(
prevAgent.GetNewJointKey(currDist.GetDimensionName())
, currZone);
newAgent = (Person)GenerateNextAgent(currComm,
(SimulationObject)prevAgent,
currDist.GetDimensionName());
}
prevAgent = newAgent;
if(warmUpStatus == false && (i % Constants.SKIP_ITERATIONS == 0))
{
//generatedAgents.Add(newAgent);
builder.Append((int)newAgent.GetAge()); builder.Append(',');
builder.Append(newAgent.GetZoneID()); builder.Append(',');
builder.Append((int)newAgent.GetSex()); builder.Append(',');
builder.Append((int)newAgent.GetHhldSize()); builder.Append(',');
builder.Append((int)newAgent.GetEducationLevel());
currWriter.WriteToFile(builder.ToString());
builder.Clear();
}
}
return generatedAgents;
}
private List<SimulationObject> GenerateHousholdsComposite(SpatialZone currZone, int numHousehold,
HouseholdPersonComposite initAgent, bool warmUpStatus,
List<ConditionalDistribution> mobelCond,
OutputFileWriter currWriter)
{
int seltdDim = 0;
int seltAgnt = 0;
List<ConditionalDistribution> condHhldList = currZone.GetDataHhldCompositeCollectionsListH();
List<ConditionalDistribution> condPerList = currZone.GetDataHhldCompositeCollectionsListP();
var generatedAgents = new List<SimulationObject>();
HouseholdPersonComposite prevAgent = initAgent;
ImportanceSampler currImpSampler = new ImportanceSampler();
Random rnd = new Random();
int iter = 0;
if (warmUpStatus == true)
{
iter = Constants.WARMUP_ITERATIONS;
}
else
{
iter = Constants.SKIP_ITERATIONS * numHousehold;
}
HouseholdPersonComposite newAgent;
StringBuilder builder = new StringBuilder();
for (int i = 0; i < iter; i++)
{
// with equal probablity select one of the hhld or persons
seltAgnt = randGen.NextInRange(0, prevAgent.getPersons().Count());
//Change Hhld object
if (seltAgnt == 0) {
seltdDim = randGen.NextInRange(0, condHhldList.Count - 1);
ConditionalDistribution currDist = condHhldList[seltdDim];
var currComm = currDist.GetCommulativeValue (
prevAgent
, currZone, -1);
newAgent = (HouseholdPersonComposite)GenerateNextAgent (currComm, prevAgent,
currDist.GetDimensionName (), -1);
}
//Change person object
else {
seltdDim = randGen.NextInRange(0, condPerList.Count - 1);
ConditionalDistribution currDist = condPerList[seltdDim];
// Select randomly one person from the collection, whose attribute is changed
int personId = rnd.Next(0, prevAgent.getPersons().Count - 1);
// Importance sampling for the Age
if (currDist.GetDimensionName() == "Age")
{
newAgent = (HouseholdPersonComposite) currImpSampler.GetNextAgent(
currZone.GetHousholdSizeDist(),
currDist, currDist.GetDimensionName(),
prevAgent, currZone, personId);
}
else
{
var currComm = currDist.GetCommulativeValue (
prevAgent
, currZone, personId);
newAgent = (HouseholdPersonComposite)GenerateNextAgent (currComm, prevAgent,
currDist.GetDimensionName (), personId);
}
//Consistency check
((HouseholdPersonComposite) newAgent).CheckConsistency();
}
prevAgent = newAgent;
if (warmUpStatus == false && (i % Constants.SKIP_ITERATIONS == 0))
{
generatedAgents.Add(newAgent);
builder.Append(newAgent.getHousehold().GetZoneID()); builder.Append(',');
builder.Append((int)newAgent.getHousehold().GetDwellingType()); builder.Append(',');
builder.Append((int)newAgent.getHousehold().GetHhldSize()); builder.Append(',');
builder.Append((int)newAgent.getHousehold().GetNumOfKids()); builder.Append(',');
builder.Append((int)newAgent.getHousehold().GetNumOfCars()); builder.Append(',');
//builder.Append(currZone.GetEPFLName()); builder.Append(',');
//builder.Append((int)newAgent.getHousehold().GetNumOfWorkers()); builder.Append(',');
//builder.Append((int)newAgent.getHousehold().GetNumOfUnivDegree()); builder.Append(',');
//builder.Append((int)newAgent.getHousehold().GetIncomeLevel()); builder.Append(',');
foreach (Person person in newAgent.getPersons())
{
builder.Append((int)person.GetAge()); builder.Append(',');
builder.Append((int)person.GetDrivingLicense()); builder.Append(',');
builder.Append((int)person.GetEmploymentStatus()); builder.Append(',');
builder.Append((int)person.GetOccupation()); builder.Append(',');
builder.Append((int)person.GetSex());
//builder.Append((int)person.GetEducationLevel());
}
currWriter.WriteToFile(builder.ToString());
builder.Clear();
}
}
return generatedAgents;
}