Re: [sumo-user] Traffic generation by using Poisson distribution
Dear Jakob, Many thanks for your firm response. Regards Radha On Wed, Jan 15, 2020 at 7:52 AM Jakob Erdmann wrote: > This runner file generates Vehicles with a Bernoulli process and thereby > achieves a binomial distribution as already recommended. The Poisson > distribution is the asymptotic limit of increasing the number of insertion > attempts (with proportionally reduced probability) which, as already noted > is not achievable due to time discretization. > > Am Mi., 15. Jan. 2020 um 08:26 Uhr schrieb Radha Reddy < > radha.reddy@gmail.com>: > >> Dear Jakob, >> >> Many thanks for your kind response, the runner.py file associated with >> the TraCI_TLS example. >> >> Regards >> Radha >> >> On Tue, Jan 14, 2020 at 9:37 PM Jakob Erdmann >> wrote: >> >>> - SUMO provides multiple runner.py files. Which one exactly do you mean? >>> - Since SUMO is a time-discrete simulation anyway (In every simulation >>> step you have to decide whether to insert a vehicle or not), I recommend >>> that you use the Binomial Distribution which is quite similar to the >>> Poisson distribution. Traffic flow with Binomial distribution is supported >>> by defining a with attribute probability. See >>> https://sumo.dlr.de/docs/Definition_of_Vehicles,_Vehicle_Types,_and_Routes.html#repeated_vehicles_flows >>> and >>> https://sumo.dlr.de/docs/Simulation/Randomness.html#flows_with_a_random_number_of_vehicles >>> >>> regards, >>> Jakob >>> >>> >>> Am Di., 14. Jan. 2020 um 16:33 Uhr schrieb Radha Reddy < >>> radha.reddy@gmail.com>: >>> Dear Jakob, I really appreciate your time for answering a lot of questions. In the SUMO provided runner.py file, the traffic flow is generated by using Random and Uniform distribution. Can we use Poisson distribution instead of Random (may be yes). Can you please share any example in which Poisson distribution is employed for routefile generation? Regards Radha ___ 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 >>> ___ >>> 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 >>> >> ___ >> 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 >> > ___ > 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 > ___ 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
Re: [sumo-user] Traffic generation by using Poisson distribution
This runner file generates Vehicles with a Bernoulli process and thereby achieves a binomial distribution as already recommended. The Poisson distribution is the asymptotic limit of increasing the number of insertion attempts (with proportionally reduced probability) which, as already noted is not achievable due to time discretization. Am Mi., 15. Jan. 2020 um 08:26 Uhr schrieb Radha Reddy < radha.reddy@gmail.com>: > Dear Jakob, > > Many thanks for your kind response, the runner.py file associated with the > TraCI_TLS example. > > Regards > Radha > > On Tue, Jan 14, 2020 at 9:37 PM Jakob Erdmann > wrote: > >> - SUMO provides multiple runner.py files. Which one exactly do you mean? >> - Since SUMO is a time-discrete simulation anyway (In every simulation >> step you have to decide whether to insert a vehicle or not), I recommend >> that you use the Binomial Distribution which is quite similar to the >> Poisson distribution. Traffic flow with Binomial distribution is supported >> by defining a with attribute probability. See >> https://sumo.dlr.de/docs/Definition_of_Vehicles,_Vehicle_Types,_and_Routes.html#repeated_vehicles_flows >> and >> https://sumo.dlr.de/docs/Simulation/Randomness.html#flows_with_a_random_number_of_vehicles >> >> regards, >> Jakob >> >> >> Am Di., 14. Jan. 2020 um 16:33 Uhr schrieb Radha Reddy < >> radha.reddy@gmail.com>: >> >>> Dear Jakob, >>> >>> I really appreciate your time for answering a lot of questions. >>> >>> In the SUMO provided runner.py file, the traffic flow is generated by >>> using Random and Uniform distribution. >>> >>> Can we use Poisson distribution instead of Random (may be yes). Can you >>> please share any example in which Poisson distribution is employed for >>> routefile generation? >>> >>> Regards >>> Radha >>> ___ >>> 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 >>> >> ___ >> 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 >> > ___ > 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 > ___ 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
Re: [sumo-user] Traffic generation by using Poisson distribution
Dear Jakob, Many thanks for your kind response, the runner.py file associated with the TraCI_TLS example. Regards Radha On Tue, Jan 14, 2020 at 9:37 PM Jakob Erdmann wrote: > - SUMO provides multiple runner.py files. Which one exactly do you mean? > - Since SUMO is a time-discrete simulation anyway (In every simulation > step you have to decide whether to insert a vehicle or not), I recommend > that you use the Binomial Distribution which is quite similar to the > Poisson distribution. Traffic flow with Binomial distribution is supported > by defining a with attribute probability. See > https://sumo.dlr.de/docs/Definition_of_Vehicles,_Vehicle_Types,_and_Routes.html#repeated_vehicles_flows > and > https://sumo.dlr.de/docs/Simulation/Randomness.html#flows_with_a_random_number_of_vehicles > > regards, > Jakob > > > Am Di., 14. Jan. 2020 um 16:33 Uhr schrieb Radha Reddy < > radha.reddy@gmail.com>: > >> Dear Jakob, >> >> I really appreciate your time for answering a lot of questions. >> >> In the SUMO provided runner.py file, the traffic flow is generated by >> using Random and Uniform distribution. >> >> Can we use Poisson distribution instead of Random (may be yes). Can you >> please share any example in which Poisson distribution is employed for >> routefile generation? >> >> Regards >> Radha >> ___ >> 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 >> > ___ > 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 > ___ 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
Re: [sumo-user] Traffic generation by using Poisson distribution
- SUMO provides multiple runner.py files. Which one exactly do you mean? - Since SUMO is a time-discrete simulation anyway (In every simulation step you have to decide whether to insert a vehicle or not), I recommend that you use the Binomial Distribution which is quite similar to the Poisson distribution. Traffic flow with Binomial distribution is supported by defining a with attribute probability. See https://sumo.dlr.de/docs/Definition_of_Vehicles,_Vehicle_Types,_and_Routes.html#repeated_vehicles_flows and https://sumo.dlr.de/docs/Simulation/Randomness.html#flows_with_a_random_number_of_vehicles regards, Jakob Am Di., 14. Jan. 2020 um 16:33 Uhr schrieb Radha Reddy < radha.reddy@gmail.com>: > Dear Jakob, > > I really appreciate your time for answering a lot of questions. > > In the SUMO provided runner.py file, the traffic flow is generated by > using Random and Uniform distribution. > > Can we use Poisson distribution instead of Random (may be yes). Can you > please share any example in which Poisson distribution is employed for > routefile generation? > > Regards > Radha > ___ > 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 > ___ 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
