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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    Title :

    Driver steering behavior model based on lane-keeping characteristics analysis


    Contributors:
    Jieyun Ding (author) / Jianqiang Wang (author) / Changchun Liu (author) / Meng Lu (author) / Keqiang Li (author)


    Publication date :

    2014-10-01


    Size :

    976413 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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