The research project consists of two parts. The first part developed a set of real-time freeway incident likelihood prediction models. The second part developed a freeway incident response decision-making methodology based on sequential hypothesis testing methods. The freeway incident likelihoods predicted by the real-time prediction models act as prior probabilities for the freeway incident response decision-making system. The products of the research project will be incorporated in the Advanced Traffic Management System that is being implemented on the Borman Expressway, a 16-mile segment of I-80 in northwest Indiana. The decision-making system can be used to traffic management personnel to assist in responding to various freeway incidents in a near optimal manner to minimize traffic delays and reduce the number of secondary incidents.


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    Title :

    Freeway Incident Likelihood Prediction and Response Decision-Making


    Contributors:
    S. Madanat (author) / H. Pan (author) / P. Liu (author) / H. Teng (author)

    Publication date :

    1997


    Size :

    58 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    A Sequential Hypothesis-Testing Based Freeway Incident Response Decision-Making System

    Madanat, S. M. / Teng, H.-L. / Lui, P.-C. et al. | British Library Conference Proceedings | 1996



    Decision-Making System for Freeway Incident Response Using Sequential Hypothesis Testing Methods

    Madanat, Samer M. / Cassidy, Michael J. / Teng, Hua-Liang et al. | Transportation Research Record | 1996


    Decision-Making System for Freeway Incident Response Using Sequential Hypothesis Testing Methods

    Madanat, S. M. / Cassidy, M. J. / Teng, H.-L. et al. | British Library Conference Proceedings | 1996


    Decision-Making System for Freeway Incident Response Using Sequential Hypothesis Testing Methods

    Madanat, Samer / Cassidy, Michael / Teng, Hua-Liang et al. | Transportation Research Record | 1996