Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework | |
Ye, Peijun1,2; Wen, Ding3 | |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS |
2017-07-01 | |
卷号 | 18期号:7页码:1857-1866 |
关键词 | Traffic Sensor Location Traffic Flow Estimation Compressed Sensing |
ISSN号 | 1524-9050 |
DOI | 10.1109/TITS.2016.2614828 |
文献子类 | Article |
英文摘要 | 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. |
WOS关键词 | LINK FLOW INFERENCE ; MATRIX ESTIMATION ; SELECTION ; NETWORKS ; MODEL ; OBSERVABILITY ; OPTIMIZATION ; QUALITY ; COUNTS |
WOS研究方向 | Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:000404370500017 |
资助机构 | National Natural Science Foundation of China(61603381) |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/15225] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
通讯作者 | Ye, Peijun |
作者单位 | 1.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 |
推荐引用方式 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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