Towards Co-operative Congestion Mitigation
Abstract
The effects of traffic congestion are widespread and are an impedance to everyday life. Piecewise constant driving policies have shown promise in helping mitigate traffic congestion in simulation environments. However, no works currently test these policies in situations involving real human users. Thus, we propose to evaluate these policies through the use of a shared control framework in a collaborative experiment with the human driver and the driving policy aiming to co-operatively mitigate congestion. We intend to use the CARLA simulator alongside the Flow framework to conduct user studies to evaluate the affect of piecewise constant driving policies. As such, we present our in-progress work in building our framework and discuss our proposed plan on evaluating this framework through a human-in-the-loop simulation user study.
Cite
@article{arxiv.2302.09140,
title = {Towards Co-operative Congestion Mitigation},
author = {Aamir Hasan and Neeloy Chakraborty and Cathy Wu and Katherine Driggs-Campbell},
journal= {arXiv preprint arXiv:2302.09140},
year = {2023}
}
Comments
Presented at the ICRA 2022 Workshop on Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust