To build a driver steering model which can reflect drivers' lane-keeping characteristics, twelve drivers' naturalistic driving data on real inter-city highway are recorded. These data are used to analyze drivers' general characteristics in lane-keeping process and how factors, such as lane position, disturbing objects nearby and road curvature influence drivers' behaviors. Then, the concept of ‘expected lateral driving zone’ and a driver steering behavior mechanism are proposed. A driver steering behavior model is designed based on this mechanism and predictive optimal control theory. Three typical scenarios are selected to compare this new model with a single-point preview model and driver's real steering behavior on performance. The results show that the new model can make a more accurate prediction about driver's steering angle.


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    Titel :

    Driver steering behavior model based on lane-keeping characteristics analysis


    Beteiligte:
    Jieyun Ding (Autor:in) / Jianqiang Wang (Autor:in) / Changchun Liu (Autor:in) / Meng Lu (Autor:in) / Keqiang Li (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    976413 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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