Towards Co-operative Congestion Mitigation

02/17/2023
by   Aamir Hasan, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

research
08/01/2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems

Intelligent driving systems can be used to mitigate congestion through s...
research
12/03/2021

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction

In most modern cities, traffic congestion is one of the most salient soc...
research
02/26/2021

Scalable Multiagent Driving Policies For Reducing Traffic Congestion

Traffic congestion is a major challenge in modern urban settings. The in...
research
08/09/2022

Exploring the trade off between human driving imitation and safety for traffic simulation

Traffic simulation has gained a lot of interest for quantitative evaluat...
research
08/28/2023

LLM Powered Sim-to-real Transfer for Traffic Signal Control

Numerous solutions are proposed for the Traffic Signal Control (TSC) tas...
research
08/09/2023

Merging in a Coupled Driving Simulator: How do drivers resolve conflicts?

Traffic interactions between merging and highway vehicles are a major to...

Please sign up or login with your details

Forgot password? Click here to reset