Re: [sumo-user] Traffic generation by using Poisson distribution

2020-01-15 Thread Radha Reddy
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

Re: [sumo-user] Traffic generation by using Poisson distribution

2020-01-14 Thread Jakob Erdmann
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

Re: [sumo-user] Traffic generation by using Poisson distribution

2020-01-14 Thread Radha Reddy
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

Re: [sumo-user] Traffic generation by using Poisson distribution

2020-01-14 Thread Jakob Erdmann
- 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

[sumo-user] Traffic generation by using Poisson distribution

2020-01-14 Thread Radha Reddy
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