arpan-kusari / naturalistic-sumo-gym Goto Github PK
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We provide an open source software package for AV based simulation and testing running a docker container
The repo's About as well as the paper mention that the python package is available as a docker container however I don't see a Dockerfile or a link to an image on the docker hub? Is it still in development?
Dear Arpan,
Thank you very much for your hard work.But I had some problems when using it.
Warning: Choosing new speed factor 1.30 for vehicle 'genveh_7' to match departure speed 28.95 (max 21.76).
Error: Vehicle 'genveh_7' will not be able to depart using the given velocity (slow lane ahead)!
Warning: Choosing new speed factor 1.28 for vehicle 'genveh_9' to match departure speed 28.55 (max 21.80).
Warning: Choosing new speed factor 1.36 for vehicle 'genveh_10' to match departure speed 30.45 (max 19.88).
They all reported WARNING in SUMO GUI, and a few were error. I set all the speeds to RANDOM to solve this problem. Do you have any better solutions here?
D:\ProgramData\Anaconda3\envs\SUMO_gym\python.exe D:/PycharmProjects/SUMO_gym/sumogym_tester.py
Running simulation in urban mode.
Please choose your ego vehicle ID (pressing enter only chooses 1st as ego): genveh_18
Please enter simulation time (pressing enter only runs till done): 50000
Traceback (most recent call last):
File "D:/PycharmProjects/SUMO_gym/sumogym_tester.py", line 110, in <module>
desired_lane = obs[0, 5]
TypeError: 'NoneType' object is not subscriptable
Why obs is 'NoneType' ?Do you have a good solution to it?
Thanks.
Hi, I am interested in the aspect of Bayesian calibration of IDM mentioned in that paper. However, there doesn't seem to be any code on the calibration aspect in that repository, and I would like to ask if I can get the source code for this aspect to study?
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