Vehicle collision detection (VCD) system is an Android Apps. VCD system requires the assistance of on-board sensors: (1) GPS, and (2) Accelerometer, and (3) Linear Acceleration. GPS is used to calculate the car speed, while the accelerometer is used to calculate the acceleration force. Our idea is to combine both sensors decision to evaluate an accident condition, i.e. the severity of potential accidents. Connectivity is required, as the database is located at the backend using backendless API, for data creation/updates. User can be service provider or driver, (1) providers will receive accidents sent by driver and (2) driver has to provide information surrounding the trip. The typical flow of the application (for driver) is: Step 1: Driver activate application and key-in relevant information, Step 2: When potential accident is detected, the system will automatically check for the closest Service Provider(s), and Step 3: Relevant information and notification to them. The application begins by prompting the number of passengers from the user (integer value). Then, the user activates the detection; the application will monitor speed and acceleration force of the vehicle. When a potential dangerous event data occurs, it will prompt the user to confirm whether an accident has occurred. User can cancel if no accident has happened, whereas if there is no responds from user for 20 seconds, the application will search for the nearest providers within 10km radius. If no providers are found within 10km radius, a message will be sent to 911. If a Provider is found within 10km radius, details of the accidents including number of passenger, current victim and location will be stored in a database and assigned to the provider. Lastly, a notification will be delivered to the assigned provider.


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    Titel :

    Mobile vehicle crash detection system


    Beteiligte:
    Yee, Tey Han (Autor:in) / Lau, Phooi Yee (Autor:in)


    Erscheinungsdatum :

    01.01.2018


    Format / Umfang :

    716703 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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