Accurate prediction of vehicle lane-change behaviour is beneficial for traffic efficiency and safety. This paper incorporates driver behavioural information indicators into the prediction of lane change behaviour. A driving simulator was used to collect driver behavioural characteristics and vehicle operating parameters during lane keeping and lane changing, and through theoretical analysis and data testing, seven indicators were obtained that could be used to predict lane changing behaviour: target area gaze time, head level turning angle, vehicle speed, lane drift angle, distance to the vehicle in front, and time to collision. Using the experimentally collected variable data, a logistic prediction model was developed and validated to have satisfactory prediction accuracy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on vehicle lane change prediction considering driver’s behavior


    Contributors:

    Conference:

    Third International Conference on Control and Intelligent Robotics (ICCIR 2023) ; 2023 ; Sipsongpanna, China


    Published in:

    Proc. SPIE ; 12940


    Publication date :

    2023-12-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Estimating Driver’s Lane-Change Intent Considering Driving Style and Contextual Traffic

    Li, Xiaohan / Wang, Wenshuo / Roetting, Matthias | IEEE | 2019


    A self-learning lane change motion planning system considering the driver’s personality

    Gao, Zhenhai / Zhu, Naixuan / Gao, Fei et al. | SAGE Publications | 2021


    Path Generation of Lane Change in Dynamic Environments Considering Characteristics of Driver's Operation

    Yoshimoto, Tatsuya / Fukao, Takanori / Yokokohji, Yasuyoshi et al. | British Library Online Contents | 2016


    System for determining driver's intention of lane change

    JUNG JE HAN / YU SUNG HUN / KIM JUNG HO et al. | European Patent Office | 2020

    Free access