This article proposes a short-term driving style classification method that considers spatiotemporal features. By deeply mining ETC (Electronic Toll Collection) transaction data from vehicles equipped with onboard units (OBU) on the highways in Fujian Province, including historical segment speeds, segment flow rates, passage time points, vehicle types, and other data, short-term driving style features are constructed. Subsequently, the silhouette coefficient method is employed to determine the optimal number of clusters, and the K-means algorithm is used to cluster the spatiotemporal features of vehicles' driving behavior. Finally, the support vector machine is utilized to recognize driving styles. This approach accurately captures real-time features of vehicles, thereby enhancing the accuracy and reliability of driving style classification. By employing this method, more personalized driving style recognition and analysis can be provided to drivers, potentially playing a positive role in the field of intelligent driving and traffic management.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Short-Time Driving Style Classification and Recognition Method on Expressway


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Pan, Jeng-Shyang (editor) / Pan, Zhigeng (editor) / Hu, Pei (editor) / Lin, Jerry Chun-Wei (editor) / Luo, GuangHao (author) / Zou, FuMin (author) / Guo, Feng (author) / Xia, ChenXi (author)

    Conference:

    International Conference on Genetic and Evolutionary Computing ; 2023 ; Kaohsiung, Taiwan October 06, 2023 - October 08, 2023



    Publication date :

    2024-01-25


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Expressway ramp repeated game decision-making method based on fused driving style

    XU NAN / DU HANG / YANG FAN et al. | European Patent Office | 2023

    Free access

    DRIVER CLASSIFICATION AND DRIVING STYLE RECOGNITION USING INERTIAL SENSORS

    Ly, M. / Martin, S. / Trivedi, M. et al. | British Library Conference Proceedings | 2013


    Driving style recognition model training and driving style recognition method, device and equipment

    GAO ZETIAN / YU ZHAO / HAN YANDONG et al. | European Patent Office | 2024

    Free access

    Driver classification and driving style recognition using inertial sensors

    Van Ly, Minh / Martin, Sujitha / Trivedi, Mohan M. | IEEE | 2013


    DRIVING STYLE RECOGNITION METHOD, ASSISTED DRIVING METHOD, AND APPARATUSES

    CHEN YIFAN / QIN LI / SHEN WEIFENG | European Patent Office | 2022

    Free access