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چکیده
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This research applies data mining techniques to discover the relationship between motor vehicle accidents and the recorded data about the accident database, focused on the third traffic zone in Tehran from years 2004 to2005. The data are first clustered using the K-mean method. Then, the patterns and rules of the data are explored and using this descriptions, some refinements in behaviors are proposed. Findings – Some refinements in 3 level(for citizens, urban police and top level policy markers)are proposed based on results. Using this method, regardless of the constraints of this study shows that it may provide useful knowledge about the safety of roads. This is one few research papers utilizing data mining techniques to explore the motor vehicle crashes and related factors.
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