Pedestrians seem to be the most vulnerable road users, particularly in a heterogeneous traffic environment with inadequate road infrastructure for motor vehicles. However, the rapid growth of traffic would rapidly increase conflicts between vehicles and pedestrians. Due to the uneven pedestrian crossing patterns at uncontrolled intersections, this issue is more prevalent. The conflict-based approach to pedestrian safety analysis is a more reliable proactive method than the previous crash-base method. The aim of the study is to evaluate pedestrian safety by analyzing the conflict of the pedestrian-vehicular interaction at three uncontrolled intersections, using the different temporal proximity measures of Post Encroachment Time (PET), Vehicle Approaching Speed (VAS), and spatial proximity measure Safe Distance (SD). Finally, the K-Means Clustering technique was used to classify the severity level as “safe” or “unsafe” after a study of 1380 separately identified pedestrian- vehicle interactions in two scenarios Vehicle Passing First (VPF) and Pedestrian Passing First (PPF) from three uncontrolled intersections. Four different vehicle categories, namely two-wheeler (TW), auto, car, and heavy vehicle (HV), and the gender of pedestrians (male or female), are considered for analysis. Furthermore, the threshold values for PET, SD, and vehicle approaching speed are defined separately for each category and gender.


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    Title :

    Assessment of Pedestrian Safety at Urban Uncontrolled Intersections Using Surrogate Safety Measures: A Case Study of Bhopal City


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:

    Conference:

    International Conference on Transportation Planning and Implementation Methodologies for Developing Countries ; 2022 ; Mumbai, India December 19, 2022 - December 21, 2022


    Published in:

    Transportation Research ; Chapter : 38 ; 475-485


    Publication date :

    2023-12-19


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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