Road accidents are the most undesirable thing to happen to a road client, however, they happen regularly. Road accidents cost many nations 3% of their GDP. The greater part of all street traffic passing is among unprotected road costumers. This problem can be reduced by traffic sensors on streets interfacing with drivers through a 4G scheme. Not all roads are fitted with such sensors. We speak about various methods in this article. We examine in particular an open GTS and MongoDB IoT Cloud Framework for traffic surveillance and alert notification. In addition, we use H2O and WEKA mining tools as another operation. We can predict the age, gender and mishap of drivers. VCC traffic management system is another scheme. It scrutinizes VCC’s role in the management of highway traffic.


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    Titel :

    Implementation of Cloud Based Traffic Control and Vehicle Accident Prevention System


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Kumar, Amit (Herausgeber:in) / Mozar, Stefan (Herausgeber:in) / Gundabathula, Geetanjali (Autor:in) / Kunda, Parvateesam (Autor:in) / Nandan, Durgesh (Autor:in) / Kumar, Sanjeev (Autor:in)

    Erschienen in:

    ICCCE 2020 ; Kapitel : 104 ; 1125-1134


    Erscheinungsdatum :

    2020-10-12


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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