In the last decades, there have been remarkable growth in the total number of vehicles around the world, and results in increase in traffic accidents rate. Several approaches have found in existing road safety vehicular system through the use of telecommunication technologies but, most of them is for improving traffic safety and focused on vehicle to vehicle communication. In this framework, an advanced communication technology is supported by intelligent Artificial Neural Network (ANN) system and fuzzy system in order to mine the specific features of data sets. Hence it provides accurate notification and severity estimation of the accident for better assistance in traffic accidents. This system reduce the response time to give alert about accident and hence will improve the overall rescue process after an accident takes place. It's an intelligent robust, cost effective system which is able to detect road accidents, notify them, and estimate their severity.


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    Titel :

    Review on: Severity estimation unit of automotive accident


    Beteiligte:
    Raut, Saroj (Autor:in) / Karmore, Swapnili (Autor:in)


    Erscheinungsdatum :

    01.03.2015


    Format / Umfang :

    211929 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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