The objective of this work is to model driver behaviour in the area of route selection. The research focuses on an optimum route search function in a typical in-car navigation system or dynamic route guidance system. In this work, the authors emphasize the need to orientate the route selection method on the driver's preference. Each route candidate has a set of attributes. A fuzzy-neural approach is used to represent the correlation of the attributes with the driver's route selection. A recommendation or route ranking can be provided to the driver. Based on a training of the fuzzy-neural net on the driver's choice, the route selection function can be made adaptive to the decision-making of the driver.


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    Titel :

    Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches


    Beteiligte:
    Pang, G. (Autor:in) / Takahashi, K. (Autor:in) / Yokota, T. (Autor:in) / Takenaga, H. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    649631 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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