Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery |
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| Authors: | Alfonso Montella,Massimo Aria,Antonio D&rsquo Ambrosio,Filomena Mauriello |
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| Affiliation: | 1. University of Naples Federico II, Department of Transportation Engineering “Luigi Tocchetti”, Via Claudio 21, 80125 Naples, Italy;2. University of Naples Federico II, Department of Mathematics and Statistics, Via Cinthia 26, 80126 Naples, Italy |
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| Abstract: | Aim of the study was the analysis of powered two-wheeler (PTW) crashes in Italy in order to detect interdependence as well as dissimilarities among crash characteristics and provide insights for the development of safety improvement strategies focused on PTWs. At this aim, data mining techniques were used to analyze the data relative to the 254,575 crashes involving PTWs occurred in Italy in the period 2006–2008. |
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| Keywords: | Powered two-wheelers Data mining Classification trees Rules discovery Hypothesis testing Crash characteristics Crash types Crash severity |
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