An intuitive methodology of developing injury, property-damage only (PDO) and fatal accident models for unsignalized intersections based on the Traffic Accident Surveillance and Analysis System (TASAS) in California is Illustrated. A fairly new grouping and classifying technique called Classification and Regression Trees (CART) was used as a building block for developing prediction models. The proposed methodology includes a 3-Level prediction procedure with a 'tree' structure for easy interpretation and applications. It includes an adjustment procedure for different reporting levels of PDO accidents in different police jurisdictions. It also describes some applications of accident prediction models and some areas where future automation of the TASAS system could be made. An integrated traffic accident system for prediction, surveillance, improvement, evaluation, and monitoring studies is discussed. Techniques discussed for such a system include computer intensive tree building methods, knowledge-based expert systems, randomization experiments.


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    Title :

    Accident Prediction Model Development for Unsignalized Intersections: Final Report


    Contributors:
    M. Y. K. Lau (author) / A. D. May (author)

    Publication date :

    1989


    Size :

    301 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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