Real Time Traffic Signal and Speed Violation Control System of Vehicles Using IOT techniques have been widely applied to control traffic and help the citizens to follow the rules precisely depending on various sensors. The IOT has gained popularity and enormous advance in real time applications used by people for their daily use. In this proposed system we detect the fast moving vehicles that detect the Red signal using RFID sensor. This module also be set up on Raspberry pi component which used for assisting in solving the actual difficulties such as traffic rules and accident. This system consists of an onsite module IOT module that monitors and sends signal to the database. This project primarily for the vehicle which cross the traffic signal during STOP sign (Red signal) and makes the vehicle to slow down in ALERT sign (yellow light) by giving the vehicle average velocity like a speed limit. So that the other lane vehicles can move or go according to the traffic rule. The system will be helpful for the people to follow traffic rules and for higher officials to take necessary actions. The RFID are set to the vehicles and RF-tags are set in the roads to detect the non-obeying vehicles. Categories can be obtained through reasonable analysis of the data. The government officials and the users can check their behaviour updated in an android app for further penalties.


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    Titel :

    Real Time Traffic Signal and Speed Violation Control System of Vehicles Using IOT


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Pandian, A. Pasumpon (Herausgeber:in) / Palanisamy, Ram (Herausgeber:in) / Ntalianis, Klimis (Herausgeber:in) / Gowri, S. (Autor:in) / Vimali, J. S. (Autor:in) / Karthik, D. U. (Autor:in) / John Jeffrey, G. A. (Autor:in)

    Kongress:

    International conference on Computer Networks, Big data and IoT ; 2019 ; Madurai, India December 19, 2019 - December 20, 2019



    Erscheinungsdatum :

    05.03.2020


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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