The Identification of Patterns of Interurban Road Accident Frequency and Severity Using Road Geometry and Traffic Indicators

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• 作者：Bahar Dadashova^a ; ^{bahar.d@tamu.edu" class="auth_mail" title="E-mail the corresponding author} ; Blanca Arenas Ramí ; rez^b ; José ; Mira McWilliams^b ; Francisco Aparicio Izquierdo^b
• 关键词：Road accidents ; victim severity ; classification trees ; random forest ; data mining ; freight transport
• 刊名：Transportation Research Procedia
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：14
• 期：Complete
• 页码：4122-4129
• 全文大小：803 K

文摘

This paper is focused on the effect of road geometry, and other accident causing conditions, on the binary response variable road accident severity. The data is collected from two interurban routes in Spain (Madrid-Irún and Barcelona-Almeria) and covers a 3 year period (2010-2012). Data mining techniques were applied for the treatment and combination of two databases for road accident associated factors and geometry standards respectively. The effect of the influential factors on road accident severity was estimated through a non-parametric statistical methodology, random forests. Several standards of the road geometry design were found to have a significant effect on the road accident severity.