The aim of this study is to depict the general system of rash driving detection whose goal is to detect the parameters of rash driving like over speeding, lane crossing, influence of drugs or alcohol, breaking traffic rules on driving-based mechanisms. Recently the traffic accidents as we can see, are frequently the result of driver carelessness. The drivers reckless and intoxicated behaviour revealed for such incidences. To overcome such accidents many research was going on which depends on abnormal driving behaviour of drivers, drunken driver detections, and many more. The rash driving detection and alerting system is one of the research work on the same domain which employs a Arduino UNO microcontroller to focus on the driver's unusual behaviour. The system can detect driving recklessness with the help of database and check whether the vehicles violating any rules.


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    Titel :

    Rash Driving Detection and Alerting System


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Gunjan, Vinit Kumar (Herausgeber:in) / Zurada, Jacek M. (Herausgeber:in) / Dehankar, Vishwas (Autor:in) / Tadse, Surekha (Autor:in)

    Kongress:

    International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications ; 2023 ; Hyderabad, India April 28, 2023 - April 29, 2023



    Erscheinungsdatum :

    2024-05-23


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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