First of all .. Thank you very much for the help!
I tried to apply the penalties with a basic code consisting out of
.setAdaptedTraveltime and search for new routes with .findRoute . But
unfortunately when I want to .setRoute the new route of .findRoute, I get an
error. Furthermore the actually supposed to be different routes
(route_1,route_2 and route_3) are all the same. So my questions for the code
below:
Q1: Why is the setRoute function not working for the .findRoute --> new_route ?
Q2: Why is findRoute not finding different routes due to the penalyzed weights
of the edges with setAdaptedTraveltime?
Q3: Is the findRoute using the currentTravelTimes like reroute and if not, how
is it possible?
Q4: How can I set the adapedTraveltime back to the current after finding a new
route?
def run():
step = 0
while traci.simulation.getMinExpectedNumber() >0:
traci.simulationStep()
print(step)
step+=1
det_vehs = traci.inductionloop.getLastStepVehicleIDs("det_0")
#creates an induction loop
IDlist = traci.vehicle.getIDList()
#creates a list of all current vehicle in the simulation
assign = 1
if step > 40:
for veh in det_vehs:
traci.vehicle.setSpeed(veh, 0.0) #sets
the speed of the vehicle,
# which
drives on the induction loop, to zero
for veh_1 in IDlist:
traci.vehicle.setRoutingMode(veh_1, 1) #sets
the RoutingMode to aggregated
#traci.vehicle.rerouteTraveltime(veh_1)
#reroutes the vehicles
current_start = traci.vehicle.getRoadID(veh_1)
trip = traci.vehicle.getRoute(veh_1)
end = trip[-1]
if assign == 1:
#assignment on/off
route_inf_1 = traci.simulation.findRoute(current_start,
end) #findRoute with all information
route_1 = route_inf_1[4]
#just list of edges of findRoute
for edges1 in route_1:
#penalyzing
traci.vehicle.setAdaptedTraveltime(veh_1, edges1,
90.0)
route__inf_2 =
traci.simulation.findRoute(current_start, end) #new route find with penalyzed
route_2 = route__inf_2[4]
#just list of edges of findRoute
for edges2 in route_2:
traci.vehicle.setAdaptedTraveltime(veh_1, edges2,
90.0 ) #penalyzing
route_inf_3 = traci.simulation.findRoute(current_start,
end) #new route find with penalyzed
route_3 = route_inf_3[4]
#just list of edges of findRoute
new_route = random.choice([route_1, route_2, route_3])
if len(new_route) > 1:
#check vehicle is at final
traci.vehicle.setRoute(veh_1, new_route)
traci.close()
sys.stdout.flush()
--> Error:
Traceback (most recent call last):
File
"G:/TE-F1/Studenten/Hoffmann_Pascal/04_Simulation/ma_routing_via_traci/input.py",
line 78, in <module>
run()
File
"G:/TE-F1/Studenten/Hoffmann_Pascal/04_Simulation/ma_routing_via_traci/input.py",
line 61, in run
traci.vehicle.setRoute(veh_1, new_route)
File "C:\Program Files (x86)\Eclipse\Sumo\tools\traci\_vehicle.py", line
1124, in setRoute
self._connection._sendExact()
File "C:\Program Files (x86)\Eclipse\Sumo\tools\traci\connection.py", line
112, in _sendExact
raise TraCIException(err, prefix[1], _RESULTS[prefix[2]])
traci.exceptions.TraCIException: Route replacement failed for carflow_1.1
________________________________
Von: [email protected] <[email protected]> im Auftrag
von Jakob Erdmann <[email protected]>
Gesendet: Montag, 8. Juli 2019 16:46:16
An: Sumo project User discussions
Betreff: Re: [sumo-user] Using own created assignment
1) start sumo with option --routing-algorithm astar
2) You can apply the penalties yourself by increasing the weight/traveltime for
all edges in the previously found routes.
3) Yes. See
https://sumo.dlr.de/wiki/Simulation/Routing#Travel-time_values_for_routing
regards,
Jakob
Am Mo., 8. Juli 2019 um 16:28 Uhr schrieb Hoffmann, Pascal
<[email protected]<mailto:[email protected]>>:
Dear sumo-users,
I am using SUMO via TraCI. My target is to assign vehicles in case of
congestion randomly on a set of alternative path to reduce waiting times. So
far I'm rerouting with the TraCI rerouters, but now I want to implement my own
assignment. Therefore I want to ask some questions:
Q1: Is it possible to use the "build in" astar routing algorithm
(AStarRouter.h?) via TraCI and if, how?
Q2: I know that SUMO uses the penalty method in the MARouter to find
alternative routes. But so far, I couldn't find, where and how it was realized
to adapt this method for the astar multi-path.
Q3: Is it possible to adapt the traci.vehicle.rerouteTraveltime especially with
the aggregated travel times in a new external python script to use the "new"
made routing algorithm concerned in Q1&Q2?
Thanks in advance!
Best regards,
Pascal
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