public Household GetNextAgent(ModelDistribution g_x,
string dimension, Household prvAgent, SpatialZone currZone)
{
StateGenerator currStateGen = new StateGenerator();
currStateGen.SetParameters(currZone.GetAverageIncome(),
currZone.GetAverageIncome() * 2);
double q_previous;
double q_current = 0.00;
double expIncome = Math.Log(prvAgent.GetIncome());
KeyValDoublePair currPair = new KeyValDoublePair();
//start with mean value
currPair.Category = currStateGen.GetMean();
currPair.Val = currStateGen.GetTransitionProbablity(currPair.Category);
for (int i = 0; i < Constants.WARMUP_ITERATIONS; i++)
{
q_previous = currStateGen.GetTransitionProbablity(
Math.Log((double)prvAgent.GetIncome()));
q_current = currPair.Val;
IncomeLevel prevLvl = IncomeConvertor.ConvertValueToLevel(
(uint) Math.Exp(expIncome));
IncomeLevel currLvl = IncomeConvertor.ConvertValueToLevel(
(uint) Math.Exp(currPair.Category));
double b_prev = g_x.GetValue(dimension, prevLvl.ToString(),
prvAgent.GetNewJointKey(dimension), currZone);
double b_curr = g_x.GetValue(dimension, currLvl.ToString(),
prvAgent.GetNewJointKey(dimension), currZone);
if (b_prev == 0.00)
b_prev = 0.0000001;
if (b_curr == 0.00)
b_curr = 0.0000001;
if (q_current == 0.00)
q_current = 0.0000001;
double comVal = (b_curr * q_previous) / (b_prev * q_current);
if (comVal == 0.00)
comVal = 0.0000001;
if (randGen.NextDouble() < comVal)
{
expIncome = currPair.Category;
}
currPair = currStateGen.GetNextState();
}
return prvAgent.CreateNewCopy((uint)Math.Exp(expIncome));
}
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;
}
