As traffic conditions on arterial streets vary by day and month, fixed time signal control do not cope optimally with traffic demand. Especially megacities suffering from traffic congestions would need traffic responsive control systems. In this paper a low-cost real-time coordinated traffic signal control system is presented which is suited in particular for megacities in developing or newly industrializing countries. The proposed system is based on a pattern recognition method using feed forward artificial neural networks. The system recognizes the traffic state by system detectors and selects suitable settings out of a set of previously optimized timing plans. Real-time software in the loop simulation technique is used to compare the proposed system with optimized fixed time signal control. Although this study is based on experiments with microscopic traffic flow simulation, the algorithm itself is ready for real world implementations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Pattern recognition method for simplified coordinated traffic signal control


    Contributors:


    Publication date :

    2011-06-01


    Size :

    436416 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Transition scheme of traffic signal coordinated control

    Ding, Hai-long / Zhang, Tao-tao / Liu, Bo | British Library Conference Proceedings | 2022


    Adaptive & Coordinated Traffic Signal System

    Dampage, Eng. S.U. / Munasingha, T.D. / Gunathilake, W.D.K et al. | IEEE | 2020


    Traffic jam coordinated control method and traffic jam coordinated control system

    ZHANG ZHAOHUI / SUN LI | European Patent Office | 2015

    Free access

    TRAFFIC SIGNAL RECOGNITION DEVICE, TRAFFIC SIGNAL RECOGNITION METHOD, AND VEHICLE CONTROL PROGRAM

    KITAHARA GENKI / TERAZAWA TOMOHITO / MUKAI YASUHIKO | European Patent Office | 2022

    Free access

    Research on the Model of Traffic Signal Control and Signal Coordinated Control

    Zeng, Xiaoqing / Wu, Chaoyang / Chen, Yujia et al. | Springer Verlag | 2017