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	LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data
	Kong, Xiangjie; Song, Ximeng; Xia, Feng; Guo, Haochen; Wang, Jinzhong; Tolba, Amr
刊名	WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
	2018
卷号	21页码:825-847
关键词	Traffic anomaly detection Mobile crowdsourcing Urban big data Anomaly index
ISSN号	1386-145X
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3274822
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116620, Peoples R China. 2.Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116620, Peoples R China. 3.Shenyang Sport Univ, Sch Management & Journalism, Shenyang 110102, Liaoning, Peoples R China. 4.King Saud Univ, Riyadh Community Coll, Riyadh 11437, Saudi Arabia.,Menoufia Univ, Fac Sci, Dept Math, Shibin Al Kawm 32511, Egypt.
推荐引用方式 GB/T 7714	Kong, Xiangjie,Song, Ximeng,Xia, Feng,et al. LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2018,21:825-847.
APA	Kong, Xiangjie,Song, Ximeng,Xia, Feng,Guo, Haochen,Wang, Jinzhong,&Tolba, Amr.(2018).LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,21,825-847.
MLA	Kong, Xiangjie,et al."LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 21(2018):825-847.

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