Your plot attachments are missing (possibly blocked by the mailing list). Mean headway is mostly influenced by the 'tau' parameter. However, it also depends on the desired speeds (speedFactor, speedDev) and traffic density: - if all vehicles have the exact same desired speed (speedDev= 0) then they will never close the gap to their leader and the headways are fully determined by the insertion procedure. - if the desired speeds vary and the density is high, then most vehicles will be in a queue following a slower leader with headways determined by tau - if the desired speeds vary and the density is low, then the headways are determined by insertion as well as the width of the speed distribution (and of course tau)
Am Sa., 7. Sept. 2019 um 20:12 Uhr schrieb Mohsen Rahmati < [email protected]>: > Hello, > I'm working on calibrating a highway section based on real data gathered > from detectors. > I've changed 12 parameters* in car-following and lane-changing model to > decrease the "Absolute Magnitude of Mead Headway Difference" but it seems > none of them works. Plots were attached. > I wonder if you could introduce me the parameter that has the most effect > on mean headway? > > by the way: > SUMO version: 1.3.1 > car-following model: KraussPS > lane-changing model: LC2013 > > Note*: the effect of simultaneous change of parameters was not considered. > so by changing a single parameter, all other parameters were left at their > default values. > > > With Best Regards, > Mohsen > _______________________________________________ > sumo-user mailing list > [email protected] > To change your delivery options, retrieve your password, or unsubscribe > from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
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