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	A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity (EI收录)
	Zeng, Qiang[1]; Wen, Huiying[1]; Huang, Helai[2]; Pei, Xin[3]; Wong, S.C.[4]
刊名	Accident Analysis and Prevention
	2017
卷号	99页码:184-191
关键词	Bayesian networks Health risks Inference engines Parameter estimation Roads and streets Traffic control Transportation
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2185300
专题	华南理工大学
作者单位	1.[1] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 2.Guangdong 3.510641, China 4.[2] Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha 5.Hunan 6.410075, China 7.[3] Department of Automation, Tsinghua University, Beijing, China 8.[4] Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong
推荐引用方式 GB/T 7714	Zeng, Qiang[1],Wen, Huiying[1],Huang, Helai[2],等. A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity (EI收录)[J]. Accident Analysis and Prevention,2017,99:184-191.
APA	Zeng, Qiang[1],Wen, Huiying[1],Huang, Helai[2],Pei, Xin[3],&Wong, S.C.[4].(2017).A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity (EI收录).Accident Analysis and Prevention,99,184-191.
MLA	Zeng, Qiang[1],et al."A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity (EI收录)".Accident Analysis and Prevention 99(2017):184-191.

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