Unfortunately, DFRouter does not provide additional customization features. Consider using routeSampler.py instead. However, this will only give meaningful changes if the measurement data does not constrain the possible route combinations too strongly. You could also try to define a stronger variation in vehicle speeds by using the speedDev attribute and set sumo option --random in addition to dfrouter option --random.
Am Do., 20. Aug. 2020 um 19:04 Uhr schrieb Sumo User < [email protected]>: > Hello, > > I have a set of measured data from a highway on a specific afternoon. > When use DFROUTER to run a simulation, the validation file matches the > measured data in flow and speed well. But after running many simulations > (>500), I can see that all the validation files are extremely similar to > each other. What I want is to use my measured data as a base, but have > more variation so the simulation does not provide extremely similar outputs > each time. I have set --random to true and --randomize-flows to true, but > that does not provide the variation that I seek. I want to know if it is > possible to generate outputs that are still close to my measured data, but > vary between simulations. > > Any ideas are appreciated!! > _______________________________________________ > sumo-user mailing list > [email protected] > To unsubscribe from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
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