// For zone by zone information (conditionals as columns)
public string FillCollection1(DiscreteCondDistribution currColl)
{
string strTok = FileReader.ReadLine();
if (strTok != null)
{
string[] strColl = strTok.Split(',');
for (int i = 0; i < ConditionalNames.Count; i++)
{
string currCond = (string) ConditionalNames[i];
string[] currDimVal = currCond.Split(
Utils.Constants.CATEGORY_DELIMITER[0]);
currColl.AddValue(currDimVal[0], currDimVal[1],
uint.Parse(strColl[i+1]));
}
return strColl[0];
}
return "";
}
// For 1 values for all zones (conditionals as rows)
public void FillCollection2(DiscreteCondDistribution currColl)
{
string strTok = FileReader.ReadLine();
while ((strTok = FileReader.ReadLine()) != null)
{
string[] strToken = strTok.Split(',');
int j = strToken[0].IndexOf(
Utils.Constants.CATEGORY_DELIMITER);
string catName = strToken[0].Substring(0, j);
string condName = strToken[0].Substring(j + 1,
strToken[0].Length - (catName.Length + 1));
/*string[] strToken = strTok.Split(',');
//int j = strToken[0].IndexOf(
// Utils.Constants.CATEGORY_DELIMITER);
string catName = strTok.Substring(0,1);
string condName = strTok.Substring(2, strTok.LastIndexOf(',')-2);*/
currColl.AddValue(catName, condName,
double.Parse(strToken[1]));
}
}
private void InitializeInputData(AgentType currType)
{
if (currType == AgentType.Household)
{
mobelWrkrsConditionals = new DiscreteCondDistribution();
mobelKidsConditionals = new DiscreteCondDistribution();
mobelPersConditionals = new DiscreteCondDistribution();
}
}
///////////////////////////////////
public SpatialZone()
{
///////////////////////////////////
// For Household Synthesis
//censusPersonConditionals = new DiscreteCondDistribution();
modelIncConditionals = new ModelDistribution();
modelIncConditionals.SetDimensionName("IncomeLevel");
modelUnivDegConditionals = new ModelDistribution();
modelUnivDegConditionals.SetDimensionName("NumWithUnivDeg");
modelDwellConditionals = new ModelDistribution();
modelDwellConditionals.SetDimensionName("DwellingType");
modelCarsConditionals = new ModelDistribution();
modelCarsConditionals.SetDimensionName("NumOfCars");
modelNumberOfPeopleConditionals = new ModelDistribution();
modelNumberOfPeopleConditionals.SetDimensionName("NumOfPeople");
modelKidsConditionals = new ModelDistribution();
modelKidsConditionals.SetDimensionName("NumOfKids");
modelHouseHoldTypeConditionals = new ModelDistribution();
modelHouseHoldTypeConditionals.SetDimensionName("HouseholdSize");
myDwellMarginal = new DiscreteMarginalDistribution();
myDwellMarginal.SetDimensionName("DwellingType");
myDwellMarginalCounts = new DiscreteMarginalDistribution();
myDwellMarginalCounts.SetDimensionName("DwellingType");
myCarsMarginal = new DiscreteMarginalDistribution();
myCarsMarginal.SetDimensionName("NumOfCars");
myPersonMarginal = new DiscreteMarginalDistribution();
myPersonMarginal.SetDimensionName("HouseholdSize");
///////////////////////////////////
///////////////////////////////////
// For Person Synthesis
/* modelPublicTransitConditionals = new ModelDistribution();
modelPublicTransitConditionals.SetDimensionName("PublicTransitPass");*/
myHhldSize2Marginal = new DiscreteMarginalDistribution();
myHhldSize2Marginal.SetDimensionName("HouseholdSize2");
mySexMarginal = new DiscreteMarginalDistribution();
mySexMarginal.SetDimensionName("Sex");
myAgeMarginal = new DiscreteMarginalDistribution();
myAgeMarginal.SetDimensionName("Age");
myEducationMarginal = new DiscreteMarginalDistribution();
myEducationMarginal.SetDimensionName("EducationLevel");
myOccupationMarginal = new DiscreteMarginalDistribution();
myOccupationMarginal.SetDimensionName("Occupation");
myAgeConditional = new DiscreteCondDistribution();
myAgeConditional.SetDimensionName("Age");
mySexConditional = new DiscreteCondDistribution();
mySexConditional.SetDimensionName("Sex");
myHhldSizeConditional = new DiscreteCondDistribution();
myHhldSizeConditional.SetDimensionName("HouseholdSize2");
myEduLevelConditional = new DiscreteCondDistribution();
myEduLevelConditional.SetDimensionName("EducationLevel");
modelAgeConditionals = new ModelDistribution();//
modelAgeConditionals.SetDimensionName("Age");
modelEmploymentStatus = new ModelDistribution();//
modelEmploymentStatus.SetDimensionName("EmploymentStatus");
/* modelPublicTransitConditionals = new ModelDistribution();//
modelPublicTransitConditionals.SetDimensionName("PublicTransitPass");*/
modelOccupationConditionals = new ModelDistribution();//
modelOccupationConditionals.SetDimensionName("Occupation");
modelSexConditionals = new ModelDistribution();//
modelSexConditionals.SetDimensionName("Sex");
modelDriverLicenseConditionals = new ModelDistribution();//
modelDriverLicenseConditionals.SetDimensionName("DrivingLicense");
}
///////////////////////////////////
public SpatialZone()
{
///////////////////////////////////
// For Household Synthesis
//censusPersonConditionals = new DiscreteCondDistribution();
modelIncConditionals = new ModelDistribution();
modelIncConditionals.SetDimensionName("IncomeLevel");
modelUnivDegConditionals = new ModelDistribution();
modelUnivDegConditionals.SetDimensionName("NumWithUnivDeg");
modelDwellConditionals = new ModelDistribution();
modelDwellConditionals.SetDimensionName("DwellingType");
modelCarsConditionals = new ModelDistribution();
modelCarsConditionals.SetDimensionName("NumOfCars");
myDwellMarginal = new DiscreteMarginalDistribution();
myDwellMarginal.SetDimensionName("DwellingType");
myDwellMarginalCounts = new DiscreteMarginalDistribution();
myDwellMarginalCounts.SetDimensionName("DwellingType");
myCarsMarginal = new DiscreteMarginalDistribution();
myCarsMarginal.SetDimensionName("NumOfCars");
myPersonMarginal = new DiscreteMarginalDistribution();
myPersonMarginal.SetDimensionName("HouseholdSize");
///////////////////////////////////
///////////////////////////////////
// For Person Synthesis
myHhldSize2Marginal = new DiscreteMarginalDistribution();
myHhldSize2Marginal.SetDimensionName("HouseholdSize2");
mySexMarginal = new DiscreteMarginalDistribution();
mySexMarginal.SetDimensionName("Sex");
myAgeMarginal = new DiscreteMarginalDistribution();
myAgeMarginal.SetDimensionName("MaritalStatus");
myEducationMarginal = new DiscreteMarginalDistribution();
myEducationMarginal.SetDimensionName("EducationLevel");
myAgeConditional = new DiscreteCondDistribution();
myAgeConditional.SetDimensionName("Age");
mySexConditional = new DiscreteCondDistribution();
mySexConditional.SetDimensionName("Sex");
myHhldSizeConditional = new DiscreteCondDistribution();
myHhldSizeConditional.SetDimensionName("HouseholdSize2");
myEduLevelConditional = new DiscreteCondDistribution();
myEduLevelConditional.SetDimensionName("EducationLevel");
}