The growing population and increased vehicles lead to the main challenges in urban life. Therefore, the role of traffic management will save time and fuel consumption and reduce environmental pollution. In recent years, Internet of Things (IoT) and smart cities drive a new field of intelligent traffic management. In this paper, a new method for traffic light control is presented by using the combination of IoT and image and video processing techniques. In the proposed models, traffic light scheduling is determined based on the density and the number of passing vehicles. Moreover, it is implemented by Raspberry-Pi board and OpenCV tool. The analytical and experimental results indicate the efficiency provided by the proposed models in intelligent traffic management.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Smart Traffic Light Scheduling in Smart City Using Image and Video Processing


    Contributors:


    Publication date :

    2019-04-01


    Size :

    3775957 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic Management Scheduling using Image/Video Processing for Smart Cities

    Reddy, K. Venkata Rama Durgaprasad / Priya, R. Shanmukha / Singh, Pankaj et al. | IEEE | 2022


    Smart Traffic Light Scheduling Algorithms

    Rezgui, Jihene / Barri, Mamadou / Gayta, Reiner | IEEE | 2019


    Smart city traffic video monitoring system

    ZHANG JUNFENG / ZHANG JUNJIE / ZHANG XUEFENG et al. | European Patent Office | 2021

    Free access

    Smart city intelligent traffic light

    LIN ZECHENG | European Patent Office | 2021

    Free access

    Smart city traffic video monitoring system

    ZHOU KAI / ZHOU WANSHENG | European Patent Office | 2021

    Free access