A vehicular traffic accident analysis process should start with identifying the cause(s) of the accident. The multitude of factors responsible for causing an accident, acting solitary or in combination, include road, driver, vehicle, and environment characteristics. As such, the accident analysis process assumes complexity in deciding the perceived domain, and relative importance of the influencing factors. This paper presents a method to simplify this complexity by use of analytic hierarchy process (AHP). Once this is done, AHP is further applied to identify the most hazardous ones, called the black spots. The methodology is demonstrated by taking a case study of a National Highway in India (NH-52, Sikar-Reengus), whereby, the identification of accident black spots, and further investigation is done so as to be able to suggest improvements. Geographic information system (GIS) is used for spatial visualization of the accident data. Four accident black spots are identified. The major reasons contributing to the accidents are found to be poor visibility, over speeding, drunk driving, etc. Suitable mitigation and preventive measures are suggested for improvement at the spots.


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    Titel :

    Method to Prioritize Hazardousness of Locations for Black Spot Identification Using Analytic Hierarchy Process


    Beteiligte:
    Vyas, Vidhi (Autor:in) / Goel, Amit (Autor:in)

    Kongress:

    ASCE India Conference 2017 ; 2017 ; New Delhi, India



    Erscheinungsdatum :

    2018-12-13




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch