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Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation
Authors:Michal Bí  l,Richard Andrá  &scaron  ikZbyněk Jano&scaron  ka
Affiliation:Transport Research Centre, Líšeňská 33a, Brno, 636 00, Czech Republic
Abstract:This paper proposes a procedure which evaluates clusters of traffic accident and organizes them according to their significance. The standard kernel density estimation was extended by statistical significance testing of the resulting clusters of the traffic accidents. This allowed us to identify the most important clusters within each section. They represent places where the kernel density function exceeds the significance level corresponding to the 95th percentile level, which is estimated using the Monte Carlo simulations. To show only the most important clusters within a set of sections, we introduced the cluster strength and cluster stability evaluation procedures. The method was applied in the Southern Moravia Region of the Czech Republic.
Keywords:Clustering   Traffic accidents   Hazardous road locations   Kernel density estimation   Monte Carlo
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