Hello, this is not supported in version 1.12.0 However, in the latest development version you can define <flow id="a" begin="0" end="3600" period="exp(0.5)" .../> to achieve arrivals corresponding to a Poisson process (number of vehicles follows poisson distribution). You can download and updated development version starting *tomorrow* at https://sumo.dlr.de/docs/Downloads.php#sumo_-_latest_development_version
regards, Jakob Am Di., 8. März 2022 um 11:47 Uhr schrieb Yajun She <[email protected]>: > Dear Jakob, > > Is any way that I can define a flow that follows the Poisson distribution > and at the same time control its traffic volume in each hour? Because I > want to investigate the impacts of different demand ratios on intersection > approaches. > > Thanks, > Yajun > > On Mon, 7 Mar 2022 at 19:31, Jakob Erdmann <[email protected]> wrote: > >> When using a a flow with 'probability', insertion follows a binomial >> distribution. Your example should be a good fit to a poisson distribution. >> See here, for rules of thumb on approximation: >> https://en.wikipedia.org/wiki/Binomial_distribution#Poisson_approximation >> >> Note that you cannot not set 'end' and 'number' at the same time when >> using 'probability'. Either you set a fixed number of random trials ('end') >> or you let the flow run until it has emitted a fixed number of vehicles >> ('number'). >> >> Am Mo., 7. März 2022 um 16:35 Uhr schrieb Yajun She <[email protected] >> >: >> >>> Dear all, >>> >>> How to model a flow that a vehicle will be emitted following a Poisson >>> distribution, and at the same time with a given traffic volume? >>> >>> For example, I tried to use attributes of "probability" and "number": >>> <routes> >>> <vType id="normal_car" vClass="passenger" departspeed="13.89" >>> maxSpeed="13.89" /> >>> >>> <flow id="upflow" type="normal_car" begin="0" end="5000" >>> probability="0.01" number="1200" from="downin" to="upout" departPos="last"/> >>> </routes> >>> >>> I am not sure the range of probability that will lead the vehicles to >>> follow a Poisson distribution? >>> >>> Thanks, >>> Yajun >>> >>> >>> >>> _______________________________________________ >>> 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 >> > _______________________________________________ > sumo-user mailing list > [email protected] > To unsubscribe from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
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