A blackspot is where accidents are most likely to happen as it has a history of a significant number of accidents in recent years. Amid different types of blackspot locations, unsignalized intersections are the critical ones as vehicular movement at these locations is dependent on driver behaviour. Hence, the present study seeks to predict the chances of accidents at unsignalized intersection blackspots by proposing crash severity levels using estimated surrogate safety parameters i.e., PET, and MTTC values. In that context, data for four unsignalized intersection blackspots with different intersection geometry were gathered from Nagpur, India, along with crash data from the previous three years. PET and MTTC of the through and right-turning vehicles from major and minor roads were estimated. Threshold values of PET and MTTC were proposed using clustering analysis and depending on those values, the crash severity levels were divided into four levels for unsignalized intersection blackspots. The proposed crash severity levels will be useful to rank the unsignalized intersection blackspots considering the severity of possible crashes.


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    Title :

    Identification of Crash Severity Level of Unsignalized Intersection Blackspots in Mixed Traffic Scenario


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:

    Conference:

    National Conference on Recent Advances in Traffic Engineering ; 2022 ; Surat, India November 11, 2022 - November 12, 2022



    Publication date :

    2023-10-29


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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