This study was an attempt to apply a proactive approach using traffic pattern and signalized intersection characteristics to predict accident rates at signalized intersections in a city's arterial network. An earlier analysis of accident data at selected intersections within the City of Norfolk indicated that in addition to traffic volume, other controllable factors contributed to traffic accidents at specific intersections. These factors included area topography, lane patterns, type of road signs, turning lanes, etc. It is also known that administrative factors such as signal types, signal polices, road closures, etc., and maintenance factors such as road conditions, condition of the signals, condition of road signs, etc. also impact road accidents. The objective of this study was to relate these variables to accident rate and delineate variables that are statistically more significant for accident rate. Data on several topographical variables was collected in the City of Norfolk.


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    Titel :

    Modeling Traffic Accidents at Signalized Intersections in the City of Norfolk, Virginia. Final Report


    Beteiligte:
    S. K. Maheshwari (Autor:in) / K. A. D'Souza (Autor:in)

    Erscheinungsdatum :

    2010


    Format / Umfang :

    31 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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