The mismatch is most likely due to an uncalibrated distribution of desired speeds. See https://sumo.dlr.de/docs/Definition_of_Vehicles%2C_Vehicle_Types%2C_and_Routes.html#individual_speed_factor If the section has multiple lanes, than a mismatch in lane changing behavior calibration could also play a role. Having a higher density despite matching insertion flow suggests, implies that vehicles are driving slower in the simulation. This implication conflicts with your reported measurement of the simulation having a higher speed. This conflict could point to a problem with your methodology of interpreting data from the simulation (or a problem with the simulation output itself).
Am Do., 22. Juni 2023 um 12:31 Uhr schrieb Mayank Singh < mayanksingh.dai...@gmail.com>: > Respected Sir, > > In my simulation scenario, I am inserting the vehicles as per the > available dataset, along with their respective "depart speed" mentioned in > the dataset. > The length of the road segment is 420m in my simulation, as per the > dataset. > Now, I am counting the vehicles on my road stretch of 420m every minute > during the simulation and observing the space-mean speed. > But this vehicle count does not match the dataset, and the > space-mean speed is also higher than the dataset. I am not able to figure > out the reason for this vehicle count and space-mean speed mismatch. > I have also enclosed the graphs for your reference. > Kindly help me rectify this issue. > > > Regards, > Mayank > _______________________________________________ > sumo-user mailing list > sumo-user@eclipse.org > To unsubscribe from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
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