Traffic congestion is a major problem. Signal timings in the current system are set and unaffected by traffic density. Traffic congestion is a result of significant red light delays. Signal timings in this proposed IoT-based traffic control system are changed in response to vehicle counts. The Sigsbee transceiver module in this system communicates the current system’s vehicle count to the subsequent traffic signal. It regulates the signals of the subsequent signal based on the traffic density of the preceding signal. Because they are given equal precedence over other vehicles, emergency vehicles including police cars, fire engines, and ambulances become trapped in this traffic jam. This research proposes a priority-based vehicle detection system based on image processing techniques. In the event that an emergency vehicle is spotted on the road, its lane will be prioritized over all others. In order to determine if a vehicle is an emergency or not, the study suggests Support Vector Machine (SVM) algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic Management System Using Edge Computing and IoT


    Weitere Titelangaben:

    Inf. Syst. Eng. Manag.


    Beteiligte:
    Manoharan, S. (Herausgeber:in) / Tugui, Alexandru (Herausgeber:in) / Perikos, Isidoros (Herausgeber:in) / Lalithadevi, B. (Autor:in) / Bhavana, M. (Autor:in) / Mounika Priya, N. (Autor:in)

    Kongress:

    International Conference on Artificial Intelligence and Smart Energy ; 2025 ; Coimbatore, India January 30, 2025 - January 31, 2025



    Erscheinungsdatum :

    23.05.2025


    Format / Umfang :

    18 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Smart Traffic Monitoring System Using Computer Vision and Edge Computing

    Liu, Guanxiong / Shi, Hang / Kiani, Abbas et al. | IEEE | 2022


    Towards AI-Based Traffic Counting System with Edge Computing

    Duc-Liem Dinh / Hong-Nam Nguyen / Huy-Tan Thai et al. | DOAJ | 2021

    Freier Zugriff

    Traffic Collision Avoidance with Vehicular Edge Computing

    Hasarinda, Ravishka / Tharuminda, Theekshana / Palitharathna, Kapila et al. | IEEE | 2023


    Mixed flow-oriented traffic management and control system based on management and control edge computing equipment

    HAO RUOCHEN / MA WANJING / SUN TUO et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Edge based Web Computing for Traffic Control Management for Distributed Environment Conditions

    William, P. / Chhabra, Gurpreet Singh / Kondekar, Abhinandan et al. | IEEE | 2023