There is currently no tool in sumo that would systematically adjust departure times to improve traffic flow.
Am Mo., 15. Juni 2020 um 01:41 Uhr schrieb Илья Левашев < [email protected]>: > It looks like you need duaiterate.py, it iterates defined number of > iteration or unless changes between iterations will small enough. However, > I've got some problems using parking flows and public transit, > unfortunately, I haven't fixed it. > The second annoying thing is amount of output files you will have and > instead of MATSim you will have just one folder for all iterations. > If you will successfully use duaiterate it will be great to see how to > fix file-chaos and problem with pt and parking. > > > вс, 14 июн. 2020 г., 23:23 Chris Abraham <[email protected]>: > >> Hi everyone. MATSim (another agent-based simulator like SUMO) makes use >> of an Evolutionary Algorithm to optimise the demand to prevent >> unrealistic traffic jams. >> >> The software runs the simulation multiple times, and in each iteration, >> it slightly adjusts the times and routes of the trips, gradually >> eliminating traffic jams. Is there anything like this planned or >> implemented in SUMO? >> >> The reason I am asking this question: I am using a statistics file to >> describe the city, then use ActivityGen and DuaRouter to convert the >> statistic file into demand that can be imported to SUMO. However, there >> are jams because the vehicles follow the statistics file too precisely. >> >> _______________________________________________ >> sumo-user mailing list >> [email protected] >> To unsubscribe from this list, visit >> https://www.eclipse.org/mailman/listinfo/sumo-user >> > _______________________________________________ > sumo-user mailing list > [email protected] > To unsubscribe from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
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