CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 智能化团队
Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework
Ye, Peijun1,2; Wen, Ding3
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN1524-9050
2017-07-01
Volume18Issue:7Pages:1857-1866
SubtypeArticle
Abstract

A series of flow estimation problems, especially origin-destination estimation, involves optimally locating sensors on a transportation network to measure traffic counts. As compressed sensing (CS) provides a new method to solve the estimation problem, its sensor location strategy needs to be researched in order to facilitate the reconstruction. This paper first points out that the accurate flow recovery is difficult by introducing a necessary condition, and then categorizes the location determination into two cases: sensor number with restriction and without restriction. For both cases, we elucidate their theoretical foundations of locating methods and propose an algorithm based on column coherence minimization, which optimally facilitates the reconstruction for CS framework. Numerical experiments indicate that the selected sensor locations fit the flow recovery and the proposed algorithm, compared with other methods, can lead to a slightly better result under certain observations.

KeywordTraffic Sensor Location Traffic Flow Estimation Compressed Sensing
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TITS.2016.2614828
WOS KeywordLINK FLOW INFERENCE ; MATRIX ESTIMATION ; SELECTION ; NETWORKS ; MODEL ; OBSERVABILITY ; OPTIMIZATION ; QUALITY ; COUNTS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61603381)
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000404370500017
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15225
Collection复杂系统管理与控制国家重点实验室_智能化团队
Corresponding AuthorYe, Peijun
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Qingdao Acad Intelligent Ind, Qingdao 266000, Peoples R China
3.Natl Univ Def & Technol, Mil Computat Expt & Parallel Syst Res Ctr, Changsha 410073, Hunan, Peoples R China
Recommended Citation
GB/T 7714
Ye, Peijun,Wen, Ding. Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2017,18(7):1857-1866.
APA Ye, Peijun,&Wen, Ding.(2017).Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,18(7),1857-1866.
MLA Ye, Peijun,et al."Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 18.7(2017):1857-1866.
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