The driving styles of human drivers exhibit a diverse range of observed driving patterns and manoeuvres, influenced by their habitual choice of driving behaviours. Understanding these driving styles is essential for enhancing road safety and reducing emissions. In this paper, we propose a deep temporal clustering approach to classify driving styles, providing enhanced explainability. A comprehensive car-following dataset was collected, incorporating extensive feature parameters. Subsequently, we developed a deep temporal clustering-based classification method that considers the variations in driving style within a single trip. The performance evaluation employed K-Shape clustering, and the significance of various features was assessed using SHAP values, enhancing the interpretability of the model. Our findings contribute to the advancement of driving style classification methods, promoting a deeper understanding of driving behaviours for improved road safety measures.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driving Style Classification Using Deep Temporal Clustering with Enhanced Explainability


    Beteiligte:
    Feng, Yuxiang (Autor:in) / Ye, Qiming (Autor:in) / Adan, Fahmy (Autor:in) / Marques, Luis (Autor:in) / Angeloudis, Panagiotis (Autor:in)


    Erscheinungsdatum :

    2023-09-24


    Format / Umfang :

    398111 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Driving Style Clustering using Naturalistic Driving Data

    Chen, Kuan-Ting / Chen, Huei-Yen Winnie | Transportation Research Record | 2019


    Explainability of Deep Reinforcement Learning Method with Drones

    Cetin, Ender / Barrado, Cristina / Pastor, Enric | IEEE | 2023


    Explainability of Deep SAR ATR Through Feature Analysis

    Belloni, Carole / Balleri, Alessio / Aouf, Nabil et al. | IEEE | 2021


    Rule-Based Driving Style Classification Using Acceleration Data Profiles

    Jardin, Philippe / Moisidis, Ioannis / Zetina, Siegfried Saenger et al. | IEEE | 2020


    Driver classification and driving style recognition using inertial sensors

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