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Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis
Tang, Shanshan1,2; Yu, Haijun2,3
2019-08-01
Source PublicationEAST ASIAN JOURNAL ON APPLIED MATHEMATICS
ISSN2079-7362
Volume9Issue:3Pages:622-642
AbstractAn easily implementable noise strength estimation algorithm to analyse the urban traffic is developed. It improves the accuracy of the road velocity predictions. Using real urban traffic data from Beijing Taxi GPS system, we demonstrate the efficiency of the algorithm. It is also shown that the BV denoising method with the best noise-strength estimates significantly improves the road clustering.
KeywordUrban traffic prediction bounded variation denoising noise estimate cluster analysis
DOI10.4208/eajam.181118.250219
Language英语
Funding ProjectChina National Program on Key Basic Research[2015CB856003]
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000470088100012
PublisherGLOBAL SCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/34807
Collection中国科学院数学与系统科学研究院
Affiliation1.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100190, Peoples R China
2.Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R China
3.Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, NCMIS, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Tang, Shanshan,Yu, Haijun. Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis[J]. EAST ASIAN JOURNAL ON APPLIED MATHEMATICS,2019,9(3):622-642.
APA Tang, Shanshan,&Yu, Haijun.(2019).Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis.EAST ASIAN JOURNAL ON APPLIED MATHEMATICS,9(3),622-642.
MLA Tang, Shanshan,et al."Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis".EAST ASIAN JOURNAL ON APPLIED MATHEMATICS 9.3(2019):622-642.
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