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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

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


    Contributors:

    Publication date :

    2010


    Size :

    31 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Traffic Flow Modeling and Simulation of Signalized Intersections

    Tohti, Gulbahar / Geni, Mamtimin / Wang, Bing | ASCE | 2015



    Traffic State Estimation near Signalized Intersections

    Maripini, Himabindu / Khadhir, Abdhul / Vanajakshi, Lelitha | ASCE | 2023


    Traffic capacity reduction at signalized intersections

    Lu, J. J. / Pernia, J. C. / Canadian Society for Civil Engineering | British Library Conference Proceedings | 2000