I tried the option of using the built-in facilities for restoring
simulation state including RNG:
https://sumo.dlr.de/docs/Simulation/SaveAndLoad.html
https://sumo.dlr.de/docs/Simulation/SaveAndLoad.html#random_number_generators_rng
I successfully saved the state of the original simulation using traci.
simulation.saveState("Test_state.xml")
However, when I tried to reproduce this state in a new simulation by
starting SUMO traci.start(["sumo-gui","-c","Senario.sumocfg"]) then
loading the saved state traci.simulation.loadState("Test_state.xml"), I
got error* traci.exceptions.FatalTraCIError: connection closed by SUMO.*
I have two questions:
*1-* First, how to set option --save-state.rng to save the state of the
random number generator *?? * should it be set in the *.sumocfg* file of
the original simulation *?* What is the syntax that should be used for this
option *?*
*2- *how to run the new SUMO simulation and load the saved state without
having the error *traci.exceptions.FatalTraCIError: connection closed by
SUMO ?*
Best regards,
*________________________*
*Zine el abidine KHERROUBI*
Le ven. 16 juin 2023 à 11:26, Jakob Erdmann <[email protected]> a
écrit :
> Many aspects of the simulation are subject to stochasticity, controlled by
> RNGs and the initial random seed (
> https://sumo.dlr.de/docs/Simulation/Randomness.html).
> After running the simulation for some time, the RNG is in a particular
> configuration and you can only reproduce that situation by also restoring
> this RNG configuration.
> Here are two possible solutions:
> 1) Use the the initial setup as you are doing now but sample a larger
> configuration space by running with different values for the --seed option
> until you find a situation of interest (which may not be the exact
> situation you had originally but nevertheless suitable to your purpose).
> 2) Use the built-in facilities for restoring simulation state including
> RNG:
> https://sumo.dlr.de/docs/Simulation/SaveAndLoad.html
>
> https://sumo.dlr.de/docs/Simulation/SaveAndLoad.html#random_number_generators_rng
>
> regards,
> Jakob
>
> Am Fr., 16. Juni 2023 um 08:58 Uhr schrieb Kherroubi Zineelabidine <
> [email protected]>:
>
>> Hi all,
>>
>> I have a simulation of an accident scenario that occurs at the 16000th
>> simulation time-step. I would like to generate this same accident scenario
>> (same geometry, same vehicles, same vehicles speed behaviors and
>> trajectories) in a new simulation (at the beginning time step instead of
>> waiting until 16000 as in the original simulation).
>> For that, I saved all the vehicles' states in the original simulation of
>> accident:* Position, speed, acceleration, type, angle, speed_factor,
>> speed_deviation, lane_id, lane_position*.
>>
>> In the new simulation, I added the vehicles from the accident scenario:
>> *1- traci.vehicle.add(vehID ,routeID ,departSpeed,typeID, departPos=0)*
>>
>> then, for each vehicle , and before executing a simulation step, I
>> adjusted the state of vehicles as in the original scenario accident:
>>
>>
>>
>> *2- traci.vehicle.setAccel(vehID ,accel)3-
>> traci.vehicle.setSpeed(vehID,speed)4-
>> traci.vehicle.setSpeedFactor(vehID,factor)5-
>> traci.vehicle.moveTo(vehID,laneID,pos) *
>>
>> There is only one vehicle that I control through traci using the same
>> rule-based control function as in the accident scenario.
>>
>> However when I run this new simulation, no accident happen and the
>> trajectories of vehicles are different from the original accident scenario. I
>> thought that I included all the information to reproduce the original
>> accident scenario, especially the *vehicle type* and *speedFactor *(where
>> I forced *speedFactor Deviation *to 0).
>>
>> *Why is the new scenario different from the original ?*
>> *How to reproduce the same scenario using initial vehicle states ?*
>>
>> Best regards,
>> *________________________*
>>
>> *Zine el abidine KHERROUBI*
>> _______________________________________________
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>> [email protected]
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>>
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