Nowadays, traffic has been the major problem in many urban regions as the number of vehicles has been increasing rapidly. So, the traffic management at the traffic signals has become a complex issue as using the conventional system does not detect the traffic and it will not check the traffic density at the signals. Even there are no vehicles; the signal will be green for that empty road. Traffic issues in urban areas are road networks, free networks. To address this problem, image and video processing is a method to perform some operations on an image, to enhance or extract. It is a rapidly growing technology and it is a part of an AI. The traffic can be managed by a suitable solution based on the instantaneous images and videos captured by the cameras at the crossroads, traffic signals, etc. The tools used for this system are Raspberry Pi board and OpenCV tool for image and video processing. So many technologies used in this traffic Management control system Consists to control traffic Density, traffic clearance, Computation of Overlapping Images, Alert systems and self-learning systems. The paper concludes with a brief discussion of future needs in these important technologies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic Management Scheduling using Image/Video Processing for Smart Cities




    Publication date :

    2022-09-21


    Size :

    1325123 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

    Razavi, Meisam / Hamidkhani, Mehdi / Sadeghi, Rasool | IEEE | 2019


    Traffic Monitoring System in Smart Cities Using Image Processing

    Kazmi, Syed Qamrul / Singh, Munindra Kumar / Pal, Saurabh | Springer Verlag | 2021


    Traffic Monitoring System in Smart Cities Using Image Processing

    Kazmi, Syed Qamrul / Singh, Munindra Kumar / Pal, Saurabh | TIBKAT | 2021


    TrafficIntel: Smart traffic management for smart cities

    Saikar, Anurag / Parulekar, Mihir / Badve, Aditya et al. | IEEE | 2017


    Advanced Traffic Management System for Smart Cities

    Nijim, Mais / Kanumuri, Viswas / Alaqqad, Waseem et al. | Springer Verlag | 2023