Helai Huang
Professor

Date of Birth:1979-06-04

Alma Mater:National University of Singapore

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Honors and Titles:

万人计划国家科技创新领军人才

Clarivate全球高被引科学家

斯坦福大学发布全球前2%顶尖科学家

中国智能交通优秀科技创新人才奖

湖南省科技创新领军人才

湖南省121人才工程(第二层级)

湖南省杰出青年基金获得者

“湖湘青年“创新创业平台支持计划

霍英东青年教师基金获得者

中国电信优秀教师奖

本科教学质量优秀奖

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Journal Publications

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Empirical evaluation of alternative approaches in identifying crash hotspots: naïve ranking, empirical Bayes and full Bayes

Release time:2016-04-15 Hits:

Journal:Transportation Research Record

Abstract: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…

Co-author:Haque M.M. (2009), Chin H.C., Huang H.*

Volume:2103

Page Number:32-41

Translation or Not:no

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