The present research work provides a methodology of calibration of the vehicle-following behavior in VISSIM using vehicle trajectory data obtained under non-lane-based mixed traffic conditions. In this context, two access-controlled mid-block sections, one on the multi-lane urban road with six-lane-divided carriageway and the second one with eight-lane-divided carriageway are identified for extracting high-quality vehicle trajectory data. Later, using trajectory data, lane-wise time-space plots were developed for the vehicles’ movement simultaneously in the same lane as well as from adjacent lanes for studying non-lane-based movement.The investigation is carried out by developing a relationship (hysteresis plots) between relative distance versus relative velocity among the leader–follower vehicle for the vehicles in the same as well as in adjacent lane that is nearby position. Hysteresis phenomenon for vehicles under the following behavior is examined.Data about identified potential vehicular pairs are used for calibration of well-known psychophysical car-following models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modeling following behavior of vehicles using trajectory data under mixed traffic conditions: an Indian viewpoint


    Contributors:

    Published in:

    Transportation Letters ; 13 , 9 ; 649-663


    Publication date :

    2021-10-21


    Size :

    15 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Analysis of Vehicle-Following Behavior in Mixed Traffic Conditions using Vehicle Trajectory Data

    Kashyap N. R., Madhuri / Chilukuri, Bhargava Rama / Srinivasan, Karthik K. et al. | Transportation Research Record | 2020


    Methodological Framework for Modeling Following Behavior of Vehicles Under Indian Traffic Scenario

    Raju, Narayana / Arkatkar, Shriniwas / Joshi, Gaurang | Springer Verlag | 2018


    Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions

    Raju, Narayana / Arkatkar, Shriniwas / Joshi, Gaurang | Taylor & Francis Verlag | 2020


    Modeling Lane-Changing Behavior of Vehicles at Merge Section under Mixed Traffic Conditions

    Matcha, Bhargav Naidu / Sivanesan, Sivakumar / Ng, K. C. | ASCE | 2021


    Calibration of Vehicle-Following Model Parameters Using Mixed Traffic Trajectory Data

    Anand, P. Anusree / Atmakuri, Priyanka / Anne, Viswa Sri Rupa et al. | Springer Verlag | 2019