Motivated by the need for simulation tools for testing, verification and validation of autonomous driving systems that operate in traffic consisting of both autonomous and human-driven vehicles, we propose a game-theoretic framework for modeling the interactive behavior of vehicles at uncontrolled intersections. The proposed vehicle interaction model is based on a novel formulation of dynamic games with multiple concurrent leader-follower pairs, induced from common traffic rules. Based on simulation results for various intersection scenarios, we show that the model exhibits reasonable behavior expected in traffic, including the capability of reproducing scenarios extracted from real-world traffic data and reasonable performance in resolving traffic conflicts. The model is further validated based on the level-of-service traffic quality rating system and demonstrates manageable computational complexity compared to traditional multi-player game-theoretic models.


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    Title :

    Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections


    Contributors:
    Li, Nan (author) / Yao, Yu (author) / Kolmanovsky, Ilya (author) / Atkins, Ella (author) / Girard, Anouck R. (author)


    Publication date :

    2022-02-01


    Size :

    7833388 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections

    Li, Nan / Yao, Yu / Kolmanovsky, Ilya et al. | ArXiv | 2019

    Free access


    Vehicle-Arrival Characteristics at Urban Uncontrolled Intersections

    Rengaraju, V. R. / Trinadha Rao, V. | British Library Online Contents | 1995