Signalized intersections act as an integral component of urban traffic management and control systems by providing maximum control over the movement of conflicting traffic streams at different time separations, reducing the conflict risk between the vehicles. This study analyzes the conflicts probabilities at different states, namely, Free flow state (A), Jam state (B), and Capacity state (C) of the signalized intersection by using the concept of leader–follower pair. The Time to Collision (TTC) threshold of 0–2 s has been considered critical, and data on conflicts is analyzed using this threshold. The data on the traffic flow at the signalized intersection was collected in the city of Ahmedabad, India using Unmanned Aerial Vehicles (UAVs) for two locations. The data is collected for 12 cycles at each intersection. The queue lengths are determined by the UAV trajectories in mixed traffic conditions. The result shows that the average probability of conflicts is highest at the Jam state in every cycle at all locations. The average percentage of the conflicts for the Leader–Follower pair was found to be 78.77% for the Jam state (B).


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    Title :

    Investigating the Impact of Traffic State on Conflict Probability at Signalized Intersections


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:

    Conference:

    Conference of Transportation Research Group of India ; 2023 ; Surat, India December 16, 2023 - December 19, 2023



    Publication date :

    2025-02-27


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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