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Re: [sumo-user] ACC car following model and randomness
The IDM model itself is not stochastic even though it intends to model human driving.
However, it does support the driver-state device which can be used to apply random distortions to the speeds and distances that are "perceived" by the model. See https://sumo.dlr.de/docs/Driver_State.html
Also, EIDM is a refinement of the IDM model which supports randomness (https://sumo.dlr.de/docs/Car-Following-Models/EIDM.html)

Am Mo., 1. Juli 2024 um 18:45 Uhr schrieb Mariam via sumo-user <sumo-user@xxxxxxxxxxx>:
Thanks Jakob, is it the same for IDM car following model as well?



On Mon, Jul 1, 2024 at 2:14 AM Jakob Erdmann via sumo-user <sumo-user@xxxxxxxxxxx> wrote:
The ACC model is not stochastic by design. It models a technical system which behaves according to strict rules (whereas Krauss models human driving imperfections in a stochastic manner).


Am So., 30. Juni 2024 um 21:14 Uhr schrieb Mariam via sumo-user <sumo-user@xxxxxxxxxxx>:
Hi,

I have been using the Krauss car-following model without any issues. When I set different seed values, I get different outputs (using the SSM device output), which is the expected behavior. However, when I switched to the ACC model and used varying seed values, I consistently get the same exact output from the SSM devices. I even tried setting the random seed value to true, but the results are still identical.

Is there a specific metric I need to configure for the ACC model? Am I missing something?  I am using SUMO 1.8.0, as it is the only version I can get to work with VEINs. but this problem is independent of VEINs as I encounter it when I run just the SUMO simulation.

Thank you!

Thanks
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