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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    Title :

    Developing a driver compliance model for ATIS


    Contributors:
    Lee, C. (author) / Fan Yang, (author) / Ran, B. (author)


    Publication date :

    2004-01-01


    Size :

    434684 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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