def __init__(self, nodes, edges, stations, areas, interfaces, platforms,
trainDictRaw, travPop, popMemory, param, runID, instanceID):
#final instance flag
if (instanceID >= Parameter.learningInstances):
param.isFinalInstance = True
else:
param.isFinalInstance = False
#last learning instance flag
if (instanceID == Parameter.learningInstances - 1):
lastLearningInstance = True
else:
lastLearningInstance = False
#last final instance flag
if (instanceID == Parameter.learningInstances +
Parameter.finalInstances - 1):
lastFinalInstance = True
else:
lastFinalInstance = False
#all the following should go into an iteration/instance
simEnv = simpy.Environment()
pedNet = PedestrianNetwork(nodes, edges, stations, areas, interfaces,
platforms, simEnv)
transSys = TransitSystem(trainDictRaw, simEnv, pedNet, param)
travPop = Population(travPop, pedNet, transSys, popMemory, param)
travPop.addToSimulation(simEnv, pedNet, transSys, popMemory)
transSys.addToSimulation(simEnv, pedNet)
#reset number of required explorations
numEpisodesToExplore = popMemory.resetExplorationSet()
#run queueing network
simEnv.run()
#print missing interface specifications
if Parameter.showWarnings:
print(pedNet.interfaceDebugSet)
#reset potentials for en-route path choice (required for post-processing and further instances)
popMemory.resetAllPotentials()
if Parameter.textOutput and param.isFinalInstance:
instanceLog = "Run: %d, learningInstance: %d\n" % (runID,
instanceID)
instanceLog += "total relevant cost: %.2f (%d travelers)\n" % travPop.getTotTravDisutility(
)
instanceLog += "number of episodes left to explore: %d\n\n" % numEpisodesToExplore
instanceLog += travPop.generateLog()
instanceLog += transSys.generateLog()
instanceLog += popMemory.generatePathList()
fileNameLog = param.fileNameLog + ("run_%d_instance_%d.txt" %
(runID, instanceID))
with open(fileNameLog, 'w') as logFile:
logFile.write(instanceLog)
if (runID == 0 and instanceID == 0 and Parameter.verboseOutput):
#fileNamePedList = Parameter.fileNamePathList + ".txt"
fileNameGraph = Parameter.fileNameGraph + ".png"
pedNet.generateGraph(fileNameGraph)
#popMemory.generatePathList(fileNamePedList)
if param.isFinalInstance:
#generate simulation output
self.simOutput = SimulationOutput(pedNet, transSys, travPop, param)
if lastLearningInstance:
print(
"Run %d learning completed after %d instances (number of episodes left to explore: %d)"
% (runID + 1, instanceID + 1, numEpisodesToExplore))
if lastFinalInstance:
print("Run %d completed after %d instances" %
(runID + 1, instanceID + 1))
