To alleviate traffic congestion using advanced traveler information system (ATIS), desirable travel demand shifting is essential. This can only be achieved when a driver shows positive response to the disseminated traffic information. This study aims to identify the major factors that affect driver compliance with ATIS and evaluate the contribution of each factor. A Web-based experiment and a mail-back survey have been conducted. A binary logistic regression model and artificial neural network (ANN) have been adopted to analyze the survey data and find the priorities between the identified factors.


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    Titel :

    Developing a driver compliance model for ATIS


    Beteiligte:
    Lee, C. (Autor:in) / Fan Yang, (Autor:in) / Ran, B. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    434684 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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