Regardless of new and emerging technologies and developments for vehicle safety, worldwide fatalities in car accidents have been on the rise in recent years, largely attributable to driver mistakes. As a result, a dependable real-time warning system capable of alerting drivers to a collision is necessary. V2C (Vehicle-to-Cloud) is a vast field of active research and development that has transformed the driving experience. Driver behavior is the topic of extensive work, focusing on the link between speeding and collisions, as drivers who speed often and excessively are more likely to be involved in crashes. To achieve this, in the framework of V2C, violation system-based driving behaviors have been developed. It was created with real-time V2C hardware for data collecting. The driver behavior in an urban context is acquired through an instrumented vehicle's OBD-II adapter and GPS data logger and is examined in different periods. By estimating the Vehicle's speed. Vehicle data (speed and location) will be transmitted to a cloud computing server (Things board) via an ESP8266 Wi-Fi network for speed analysis. The proposed system could email the driver who exceeded the street speed limit once a cloud computing server detects speed conditions. The driver's license will be revoked if they fail to respond to the email and frequently violate the road's speed limit.


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    Titel :

    Real-Time Traffic Violation System Vehicles to Cloud Data Exchange Based Driver Behaviour


    Beteiligte:


    Erscheinungsdatum :

    09.06.2022


    Format / Umfang :

    600814 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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