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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 <flow> 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.ipp@xxxxxxxxx>:
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
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