Hybrid artificial neural network and locally weighted regression models for lane-based short-term urban traffic flow forecasting | |
Raza, Asif; Zhong, Ming* | |
刊名 | Transportation Planning and Technology
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2018 | |
卷号 | 41期号:8页码:901-917 |
关键词 | Traffic flow aggregate model artificial neural network disaggregate model genetic algorithms locally weighted regression short-term forecasting |
ISSN号 | 0308-1060 |
DOI | 10.1080/03081060.2018.1526988 |
URL标识 | 查看原文 |
WOS记录号 | WOS:000447230700006 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3372993 |
专题 | 武汉理工大学 |
作者单位 | [Zhong, Ming] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Engn Res Ctr Transportat Safety, POB 125,1040 Heping Ave, Wuhan 430063, Hubei, Peoples R China. |
推荐引用方式 GB/T 7714 | Raza, Asif,Zhong, Ming*. Hybrid artificial neural network and locally weighted regression models for lane-based short-term urban traffic flow forecasting[J]. Transportation Planning and Technology,2018,41(8):901-917. |
APA | Raza, Asif,&Zhong, Ming*.(2018).Hybrid artificial neural network and locally weighted regression models for lane-based short-term urban traffic flow forecasting.Transportation Planning and Technology,41(8),901-917. |
MLA | Raza, Asif,et al."Hybrid artificial neural network and locally weighted regression models for lane-based short-term urban traffic flow forecasting".Transportation Planning and Technology 41.8(2018):901-917. |
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