This is not supported by createVehTypeDistribution.py Also, you would get problems with correlated parameters (supposedly trucks are longer on average than passenger cars) and this could not be handled by the tool.
I recommend creating 3 distributions with different base probabilties by like this: ... vClass; passenger probability; 90 -------- ... vClass; truck probability; 8 --------- ... and then merging them all into a single distribution. (could be done one a unix shell using 'head', 'tail', and 'cat') regards, Jakob Am Di., 5. März 2019 um 11:53 Uhr schrieb Fredrik Nilsson < frni...@student.chalmers.se>: > Hi, > > I am using vehTypeDistribution.py to generate a population of vehicles in > my simulation and I was wondering how I could make it generate different > vehicles types (with a certan distribution, e.g. 90% passenger cars, 8% > trucks and 2% buses)? I currently use a config file like this (don't mind > the numbers they are in the middle of running an optimization): > > accel; normal(1.4999999999936855, 0.4999999999976304); [0.5, 1.5] > decel; normal(5.999999999999464, 0.7999999999995001) > sigma; normal(0.3000000000017896, 0.1999999999983296); [0.1, 1] > tau; gamma(18.198814787804807, 4.00000000000155); [0.5, 6] > length; normal(4.9, 0.2); [3.5,5.5] > minGap; normal(3.4514375986324963, 0.1000000000006245) > lcStrategic; normal(7.999999999999491, 0.8123908338568304) > lcCooperative; normal(0.10000000000437191, 1.0); [0.1, 1] > vClass; passenger <------------------ Change something here I > assume? > carFollowModel; Krauss > > BR, > Fredrik > _______________________________________________ > sumo-user mailing list > sumo-user@eclipse.org > 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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