mlsanityData to 7 Oct 2026

Towards Co-operative Congestion Mitigation

arXiv 2302.09140 ↗First posted 17 Feb 2023cs.LG cs.HC cs.ROcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 3 of its 16 references that are in the map. First posted on arXiv 17 Feb 2023.

Builds on

3 of 16 references.

References · 3

  1. 2017CARLA: An Open Urban Driving Simulatorcited by 2,431
  2. 2017Flow: A Modular Learning Framework for Mixed Autonomy Trafficcited by 67
  3. 2022RILI: Robustly Influencing Latent Intentcited by 8

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Cited by year

Citing papers per year: 2023: 2; 2024: 1.

3 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2021Scalable Multiagent Driving Policies For Reducing Traffic Congestion
  2. 2023Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments
  3. 2024CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control
  4. 2023Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
  5. 2025A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict
  6. 2021Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction
  7. 2026CommonRoad-Game: A Human-in-the-Loop Simulation Framework for Autonomous Driving
  8. 2025RIFT: Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation