Driver lane-changing behaviors have a significant impact on the safety and the capacity of the vehicle-based traffic system. Therefore, modeling lane-changing maneuvers has become an essential component of driving behavior analysis. Among microscopic LC models, game theory-based lane-changing models highlight the interaction of drivers, which reveal a more realistic image of driving behaviors compared to other classic models. However, the potential of game theory to describe the human driver's lane-changing strategies is currently under-estimated. This paper aims to review the recent development of game-theoretic models that are classified according to their different methodologies and features. They are designed for both human-driven and autonomous vehicles, and we hope they can find applications in future AV industries.


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    Title :

    A review of game theory models of lane changing


    Contributors:
    Ji, Ang (author) / Levinson, David (author)

    Published in:

    Publication date :

    2020-01-01


    Size :

    20 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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