Walking is the basic mode of transportation in India. It is considered as one of the feasible and eco-friendly mode of transportation. Pedestrian crossing at an urban uncontrolled intersection is unsafe for pedestrians because of dynamic movement of pedestrians. The objective of the study is to analyse the pedestrian behaviour at an urban uncontrolled intersection considering quantitative and qualitative parameters by estimating critical gap and also considering the accepted and rejected gaps by the pedestrians. The impact of traffic characteristics as well as demographic characteristics of pedestrians for instance gap size, type of vehicle, age, group size, gender, etc., is studied to analyse the crossing behaviour of pedestrians at an uncontrolled intersection. The estimation of critical gap has been done using Raff’s method, which is a deterministic approach. Furthermore, the machine learning approach (ANN) is used to model the pedestrian decision making behaviour at an uncontrolled intersection.


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    Title :

    Pedestrian Movement at an Urban Uncontrolled Intersection: A Case Study of Bhopal


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:

    Conference:

    Conference of Transportation Research Group of India ; 2021 December 14, 2021 - December 17, 2021



    Publication date :

    2022-09-02


    Size :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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