1–7 von 7 Ergebnissen
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    Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm

    Zhang, Qi / Wu, Chaozhong / Zhang, Hui et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: conditionally automated driving , driving performance

    A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles

    Batsch, Felix / Kanarachos, Stratis / Cheah, Madeline et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: highly automated driving

    Informed decision-making by integrating historical on-road driving performance data in high-resolution maps for connected and automated vehicles

    Liu, Jun / Khattak, Asad | Taylor & Francis Verlag | 2020
    Schlagwörter: Connected and automated vehicles , location-based driving volatility

    Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks

    Fu, Xing / Nie, Qifan / Liu, Jun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: connected and automated vehicles , spatiotemporal driving volatility

    Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections

    Arvin, Ramin / Khattak, Asad J. / Kamrani, Mohsen et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: connected and automated vehicles , driving volatility

    Naming Methodology for Driving Automation Systems

    SAE Technical Papers | 2022
    Schlagwörter: Automated driving systems , Automated Vehicles

    Novel Test Scenario Generation Technology for Performance Evaluation of Automated Vehicle

    Li, Shuang / Li, Wei / Li, Penghui et al. | Springer Verlag | 2022
    Schlagwörter: Naturalistic driving data , Automated vehicle