Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow
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Abstract (arXiv)
Semi-cooperative behaviors are intrinsic properties of human drivers and should be considered for autonomous driving. In addition, new autonomous planners can consider the social value orientation (SVO) of human drivers to generate socially-compliant trajectories. Yet the overall impact on traffic flow for this new class of planners remain to be understood. In this work, we present study of implicit semi-cooperative driving where agents deploy a game-theoretic version of iterative best response assuming knowledge of the SVOs of other agents. We simulate nominal traffic flow and investigate whether the proportion of prosocial agents on the road impact individual or system-wide driving performance. Experiments show that the proportion of prosocial agents has a minor impact on overall traffic flow and that benefits of semi-cooperation disproportionally affect egoistic and high-speed drivers.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 23 Apr 2023.
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5 of 23 references.
References · 5
- 2017Imitating Driver Behavior with Generative Adversarial Networkscited by 92
- 2018Hierarchical Game-Theoretic Planning for Autonomous Vehiclescited by 48
- 2021Social Coordination and Altruism in Autonomous Drivingcited by 28
- 2020Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehiclescited by 4
- 2018Maximizing Road Capacity Using Cars that Influence Peoplecited by 1
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