#print('dictTimeCost[vehicle]1',dictTimeCost[vehicle])
if not vehicle.isRunning(network.ts): continue
vehicle.updateLocation(
1, delayType=STRATEGY) #update location in the lane for 1 SECOND!
if (network.ts - vehicle.startTs).seconds % GAP_TS == 0:
vehicle.changeLane(dictTimeCost[vehicle.id], 1, medianValueTime,
countTime, NO_CHARGE)
# print the vehicle information when it takes too long to finish its trip
if (network.ts - vehicle.startTs).seconds > 1000:
print("ts: ", (network.ts - vehicle.startTs).seconds)
print("vehicle: ", vehicle)
print("route: ", vehicle.bestLaneRoute)
print(network.runningVehicleCount(), 'running')
print(network.finishVehicleCount(), 'finished')
y_running.append(network.runningVehicleCount())
y_stopping.append(network.finishVehicleCount())
if (i > 10 and i % 1000 == 0) or (network.runningVehicleCount() == 0
and network.finishVehicleCount() > 1000):
# this part for output JSON file
print("writing json file....")
output = {}
output["nodes"] = {
n.id: serializeNode(n)
for n in network.idNodeMap.values()
}
output["links"] = {
l.id: serializeLink(l)
vehicle = network.idVehicleMap[vid]
if not vehicle.isRunning(network.ts): continue
vehicle.updateShortestPath()
# update lane features
network.updateLanes()
# update vehicle location
for vehicle in network.idVehicleMap.values():
if not vehicle.isRunning(network.ts): continue
vehicle.updateLocation(timeStep) #update for 1 SECOND!
# decision
print(network.runningVehicleCount(), 'running')
print(network.finishVehicleCount(), 'finished')
# copy network to i+1
network_next = copy.deepcopy(network)
network_next.ts += datetime.timedelta(seconds=timeStep)
networks.append(network_next)
def timestamp(dt):
return dt.timestamp() if dt else None
def serializeNode(node):
return {'id': node.id, 'type': node.type, 'x': node.x, 'y': node.y}
