This paper focuses on the research of the intelligent autonomous lane-changing system for vehicles on expressways. A method for calculating driver dissatisfaction is constructed to determine the target lane for lane-changing. Based on fuzzy control and genetic algorithm, the feasibility determination model for lane-changing is optimized. Considering both physical constraints and comfort effects, the optimal lane-changing path is optimized. Moreover, model predictive control theory is applied for trajectory tracking control simulation. The research results show that the vehicle-related indicators during the lane-changing process are all within a reasonable range, providing a new idea for the control of intelligent vehicle's lane-changing behavior.


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    Title :

    Research on autonomous lane change system based on highway intelligent vehicles


    Contributors:
    Chen, Angel (author) / Zhu, Xinyi (author) / Tian, Yutong (author) / Qian, Hui (author)


    Publication date :

    2025-05-23


    Size :

    1680964 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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