Generate and load the data:
- Data generation steps in to https://github.com/b-safwat/sumo2vision
- Use timestamp=1
Steps for testing:
- Run
solve_traci.py
to simulate the network optimization process
For Bulk of run:
- Run
solve_all_simulations.py
Statistics:
- Run make_plots.py
Links:
-
Vehicle Types: https://sumo.dlr.de/docs/Tools/Trip.html#automatically_generating_a_vehicle_type
-
Random Types: https://sumo.dlr.de/docs/Simulation/Randomness.html
-
Example on random types: https://sumo-user.narkive.com/qiPPGoIq/using-vtypedistribution
Kindly cite this paper if you are using it:
@article{hakim2023ccpav, title={CCPAV: Centralized cooperative perception for autonomous vehicles using CV2X}, author={Hakim, Bassel and Sorour, Sameh and Hefeida, Mohamed S and Alasmary, Waleed S and Almotairi, Khaled H}, journal={Ad Hoc Networks}, volume={142}, pages={103101}, year={2023}, publisher={Elsevier} }