New communication technologies integrated into modern vehicles offer a better assistance to people injured in traffic accidents. Recent studies show how hybrid communication capabilities should be supported and improve overall rescue process. There are a variety of areas, where in a need exists for a system capable of identifying and characterize the severity of the accidents using KDD process. In this system considers the most relevant variables that can be characterize the severity of the accidents (variables such as vehicle speed, vehicle location, accelerometer condition) by using embedded systems. This system consists of several wireless network devices such as Global Positioning System (GPS) and ZigBee. GPS determine the location of the vehicle. Proposed system contains single-board embedded system that is equipped with GPS and ZigBee, along with microcontroller that is installed in the OBU vehicle. Based on vehicle motion, report is generated and to be taken by emergency services. If small accident has occurred or if there is no serious danger to anyone's life, then there is the option for alert message can be terminated by the driver or any other near peoples by a switch in order to avoid sends the message to control and save the valuable time of the medical rescue team. To improve the overall rescue process, a fast and accurate estimation of the severity of the accident system offered perfect facts to emergency services as soon as possible and saves precious life of peoples.


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    Titel :

    Automatic Identification of Accidents and to Improve Notification using Emerging Technologies


    Beteiligte:
    Sujitha, R. (Autor:in) / Devipriya, A. (Autor:in)


    Erscheinungsdatum :

    2015-02-01


    Format / Umfang :

    756299 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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