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	Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model
	Duan, Huiming; Xiao, Xinping*; Pei, Lingling
刊名	COMPLEXITY
	2017
卷号	2017页码:1-16
ISSN号	1076-2787
DOI	10.1155/2017/3515272
URL标识	查看原文
WOS记录号	WOS:000405441000001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3379331
专题	武汉理工大学
作者单位	1.[Duan, Huiming 2.Xiao, Xinping] Wuhan Univ Technol, Coll Sci, Wuhan 430070, Peoples R China.
推荐引用方式 GB/T 7714	Duan, Huiming,Xiao, Xinping*,Pei, Lingling. Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model[J]. COMPLEXITY,2017,2017:1-16.
APA	Duan, Huiming,Xiao, Xinping*,&Pei, Lingling.(2017).Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model.COMPLEXITY,2017,1-16.
MLA	Duan, Huiming,et al."Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model".COMPLEXITY 2017(2017):1-16.

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