The most dominant cause of road accidents is traffic law infringement. The exponential increase in the number of vehicles in several countries has increased the number of traffic rule violations and consequently the number of accidents. Several techniques have therefore been proposed to detect such violations using sensors and cameras. In this chapter, a mobile application has been proposed which warns users about the speed limitations as well as overtaking and parking regulations in a specific region. The mobile application detects the traffic violations pertaining to speeding, unauthorized overtaking and parking in real-time. The application also sends the violation pertaining to the specific driver to a centralized database whereby the authorities can take corrective actions. The mobile app uses the GPS tracker to obtain the exact GPS coordinates of the vehicle. It then sends this location to a cloud database which has all the information pertaining to the road traffic regulations for that location. Once the app receives the road traffic information from the database, it detects the speed of the vehicle using its accelerometer and runs an algorithm to detect overtaking and parking in illegal zones by using the GPS coordinates of the vehicle. After that the app warns the driver of any traffic violations and sends the violations to the cloud if required. The system was tested on a given road in Mauritius and it proved to be very accurate in detecting and recording violations such as exceeding the speed limit on the road, parking in a yellow line zone and overtaking on solid white lines.


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    Titel :

    A Mobile Application for Real-Time Detection of Road Traffic Violations


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Boulouard, Zakaria (Herausgeber:in) / Ouaissa, Mariya (Herausgeber:in) / Ouaissa, Mariyam (Herausgeber:in) / El Himer, Sarah (Herausgeber:in) / Fowdur, Tulsi Pawan (Autor:in) / Luckhun, Girish (Autor:in)


    Erscheinungsdatum :

    2022-01-31


    Format / Umfang :

    29 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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