In this day and age, roads grew to become parking so much throughout times of heavy visitors is one of the important considerations. During occasions of heavy traffic, crisis cars like ambulances, squad vehicles and fire unit vans stall out in jams. Because of this, these disaster vehicles don’t seem to be in a position to reach their targets in time, coming about into lost human lives. We have built up a framework that is applied to offer freedom to any disaster vehicle by way of turning the entire red lighting fixtures to green at the means of the disaster car, henceforth giving a total green wave to the ideal automobile. Notwithstanding the fairway wave manner, the framework will practice a taken automobile when it goes via traffic gentle. In this manner, that is the self-managing 2-degree architecture that works within distinguishing evidence for crisis automobiles or any wanted automobile. It is a singular framework which can be utilized to execute the theory of the green wave.


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    Titel :

    IoT-Based Traffic Congestion Monitoring and Theft Alarm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Priyadarshi, Neeraj (Herausgeber:in) / Padmanaban, Sanjeevikumar (Herausgeber:in) / Ghadai, Ranjan Kumar (Herausgeber:in) / Panda, Amiya Ranjan (Herausgeber:in) / Patel, Ranjeeta (Herausgeber:in) / Preetha, A. (Autor:in) / Gayathri, S. (Autor:in) / Santha Sheela, A. C. (Autor:in)

    Kongress:

    International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy ; 2020 ; Bhubaneswar, India March 05, 2020 - March 06, 2020
    International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy ; 2020
    March 05, 2020 - March 06, 2020



    Erscheinungsdatum :

    21.01.2021


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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