A route choice model was devised for personalized route guidance; it can adaptively change its routing function according to the demands of the user. A strategy for personalized route guidance is to incorporate an adaptation process into the route selection rules. In a study, regularities in route selection were discovered by using a rule-based approach, the C4.5 algorithm, which had advantages over other methods because of its comprehendible model structure. The route choice model is combined with a user interface, enabling the efficient collection of user feedback. To examine the adaptability of the model, experiments in which user preferences are predefined and later changed during the tests were carried out. The results of the experiments indicate the applicability of the model in personalized route guidance.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive Route Choice Model for Intelligent Route Guidance Using a Rule-Based Approach


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2007-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Learning user preferences of route choice behaviour for adaptive route guidance

    Park, K. / Bell, M. / Kaparias, I. et al. | British Library Conference Proceedings | 2007


    Learning user preferences of route choice behaviour for adaptive route guidance

    Park, K. / Bell, M. / Kaparias, I. et al. | Tema Archive | 2007


    Learning user preferences of route choice behaviour for adaptive route guidance

    Park, K. / Bell, M. / Kaparias, I. et al. | IET | 2007


    ROUTE GUIDANCE METHOD, ROUTE GUIDANCE PROGRAM, ROUTE GUIDANCE DEVICE

    YONEZAWA KAZUYA / SEGAWA EIGO | European Patent Office | 2021

    Free access