文章基本信息

标题：Before-After Freeway Accident Analysis using Cluster Algorithms
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作者：Mario De Luca ; Mario De Luca ; Raffaele Mauro 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2011
卷号：20
页码：723-731
DOI：10.1016/j.sbspro.2011.08.080
语种：English
出版社：Elsevier
摘要：AbstractThis study illustrates an application of Cluster Analysis to a problem “After-Before”. Experimental analysis, by using Cluster algorithms, was carried out on segments situated in the Southern Italy freeway. Through these algorithms it was possible to build partition (hazardous zone) and estimate the relative hazard. These groupings have been used, after introducing hazardous zone index“, to build a predictive model of accidents (obtained through a multiple regression). The reliability of this model, used to simulate the situation “Before-After”, resulted very interesting; in fact the results were very hopeful because the maximum error returned by model is about 10%
关键词：road safety on freeway segments;cluster analysis;dangerousness index;after-before analysis