For the purposes of on-line control, e.g., in an automatic driving system, or of closed-loop directional control simulation, an optimal preview artificial neural network (ANN) driver model based on error elimination algorithm(EEA) is built. Then the optimal preview times are discussed in high frequency range in this system. The simulation results of optimal preview ANN driver model and Error Elimination Algorithm driver model are compared under the condition of different vehicle speeds and paths, which shows that the proposed approach is efficient and reliable enough, particularly for driver-vehicle closed-loop system.


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    Titel :

    An Optimal Preview ANN Driver Model Based on Error Elimination Algorithm


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Li, Daofei (Autor:in) / Zhuang, Dejun (Autor:in) / Yu, Fan (Autor:in)

    Kongress:

    2005 SAE Commercial Vehicle Engineering Conference ; 2005



    Erscheinungsdatum :

    2005-11-01




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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