Increasing the number of runs is the best way to get meaningful averages
out of a stochastic model. Fortunately, distinct runs can easiliy be run in
parallel. The tool runSeeds.py makes this easy for you:
https://sumo.dlr.de/docs/Tools/Misc.html#runseedspy
Am Sa., 10. Juni 2023 um 12:56 Uhr schrieb dvir n :
>
> Dear users,
>
>
>
> I am trying to examine the effect of different VSL parameter values on
> vehicles' average travel time.
>
>
>
> For each set of values, I do a check that includes 200 simulation runs
> while using “--random” command. For each run, I calculate the average
> travel time for all the vehicles in the simulation and then calculate the
> total average of the 200 runs.
>
>
>
> Unfortunately, I recognized that even without changing the set of values,
> the total average changes till 2.5% between different checks. That fact
> makes it impossible to compare the effect of different set of values as I
> don’t know if a decrease in travel time was achieved due to better
> parameter values choice or just due to the random. What can be the solution
> for that? Increasing the amount of runs to 1000 for example would require a
> much longer time for each check (as each run takes around 1 min)
>
>
>
> Thanks
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