By widely introducing information technology tools in the field of traffic control, it is possible to increase the capacity of hubs and reduce vehicle delays. Adaptive traffic light control is one of such tools. Its effectiveness can be assessed through traffic flow simulation. The aim of this study is to create a simulation model of a signal-controlled intersection that can be used to assess the effectiveness of adaptive control in various traffic situations, including the presence or absence of pedestrian traffic through an intersection. The model is based on a numerical experiment conducted using the Monte Carlo method. As a result of the study, vehicle delays, queue length and duration of traffic light cycles are calculated subject to different intensities of incoming traffic flows, and the presence or absence of pedestrian traffic.


    Access

    Download


    Export, share and cite



    Title :

    Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm


    Contributors:


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Calculation of intersections controlled by traffic signals

    Feuchtinger, M.E. | Engineering Index Backfile | 1954



    Adaptive dynamic programming for multi-intersections traffic signal intelligent control

    Li, Tao / Zhao, Dongbin / Yi, Jianqiang | Tema Archive | 2008