Empirical evaluation of alternative approaches in identifying crash hotspots: na？ve ranking, empirical Bayes and full Bayes
发布时间：2016-04-15
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发表刊物：Transportation Research Record
摘要：This study proposes a framework of a model-based hot spot identification method by applying full Bayes (FB) technique. In comparison with the state-of-the-art approach [i.e., empirical Bayes method (EB)], the advantage of the FB method is the capability to seamlessly integrate prior information and all available data into posterior distributions on which various ranking criteria could be based. With intersection crash data collected in Singapore, an empirical analysis was conducted to evaluate the following six approaches for hot spot identification: (a) naive ranking using raw crash data…
合写作者：Haque M.M. (2009), Chin H.C., Huang H.*
卷号：2103
页面范围：32-41
是否译文：否
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