A model-based approach is presented for predicting future state (position and velocity) of the preceding vehicle in response to velocity disturbance from lead vehicle in a platoon. Online parameter estimation is used to adapt model parameters based on characteristics of individual drivers in the platoon. A car-following model is used to describe platoon longitudinal dynamics. Examples are presented using simulated as well as real-traffic data.


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    Titel :

    Preceding vehicle state prediction


    Beteiligte:
    Pandita, Rohit (Autor:in) / Caveney, Derek (Autor:in)


    Erscheinungsdatum :

    01.06.2013


    Format / Umfang :

    719825 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    PRECEDING VEHICLE STATE PREDICTION

    Pandita, R. / Caveney, D. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013


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    Sakr, Ahmed Hamdi / Vladimerou, Vladimeros / Johnson, Miles | IEEE | 2019