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 <namdre.s...@gmail.com> 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 <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....@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
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