Aiming at the complexity of lane change process, fuzzy logic analysis method was proposed to analyzing this behavior. By assaying the multi lane change scene that the drivers may choose, influencing factors were quantified. Each indicator factor after quantified was treated as model input. PID models of driver, vehicle and road surface were established in Simulink condition. The road surface model controls whether the lane change process will be conducted, and the driver model will export angle of steering wheel to deciding the efficiency of lane change process. Real road test was conducted and the test result shows that information between human and vehicle can be fused sufficiently.


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    Title :

    Decision Analysis of Lane Change Based on Fuzzy Logic



    Published in:

    Publication date :

    2013-10-09


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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