Survey of Accident Severity Estimation Using Data Mining Techniques

نویسنده

  • S. Ramya
چکیده

As technology has been improved by many changes and inventions are made almost every day. Traumatic events come in many different ways at many different times of one’s life. Recent trends on the advantage of communication technologies in case of emergency situations supported by artificial intelligence systems (AIS) which are capable to take automatic decisions. To improve the assistance time of rescue process in emergency cases with valid data for estimating severity of accident .This paper gives the analysis of accident severity using task and tools of Data Mining (DM).The estimation of accident severity based on type of accident, type of vehicle involved and person injury. An impact of our analysis includes essential features which confess to propagate estimation models and provide resources to assist the situation. Keyword – Data Mining, Vehicle to vehicle and roadside infrastructure, Knowledge Discovery in Databases

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تاریخ انتشار 2014