Review Papers | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016
A Review on Road Accident in Traffic System using Data Mining Techniques
Maninder Singh, Amrit Kaur
Road traffic accidents are a major public health concern, resulting in an estimated 1.2 million deaths and 50 million injuries worldwide each year. In the developing world, road traffic accidents are among the leading cause of death and injury. The objective of this study is to evaluate a set of variable that contribute to the degree of accident severity in traffic crashes. The issue of traffic safety has raised great concerns across the sustainable development of modern traffic and transportation. The study on road traffic accident cause can identify the key factors rapidly, efficiently and provide instructional methods to the traffic accident prevention and road traffic accident reduction, which could greatly reduce personal casualty by road traffic accidents. Using the methods of traffic data analysis, can improve the road traffic safety management level effectively.
Keywords: Road Traffic Accidents, Data Mining, Influential Factor, WEKA, Data Mining Techniques
Edition: Volume 5 Issue 1, January 2016
Pages: 1530 - 1535
How to Cite this Article?
Maninder Singh, Amrit Kaur, "A Review on Road Accident in Traffic System using Data Mining Techniques", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV153099, Volume 5 Issue 1, January 2016, 1530 - 1535
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