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 <dvi...@gmail.com>: > > 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 > _______________________________________________ > sumo-user mailing list > sumo-user@eclipse.org > To unsubscribe from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
_______________________________________________ sumo-user mailing list sumo-user@eclipse.org To unsubscribe from this list, visit https://www.eclipse.org/mailman/listinfo/sumo-user
