Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework
Ye, Peijun1,2; Wen, Ding3
2017-07-01
发表期刊IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷号18期号:7页码:1857-1866
文章类型Article
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.
关键词Traffic Sensor Location Traffic Flow Estimation Compressed Sensing
WOS标题词Science & Technology ; Technology
DOI10.1109/TITS.2016.2614828
关键词[WOS]LINK FLOW INFERENCE ; MATRIX ESTIMATION ; SELECTION ; NETWORKS ; MODEL ; OBSERVABILITY ; OPTIMIZATION ; QUALITY ; COUNTS
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61603381)
WOS研究方向Engineering ; Transportation
WOS类目Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号WOS:000404370500017
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15225
专题复杂系统管理与控制国家重点实验室_智能化团队
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ye, Peijun]的文章
[Wen, Ding]的文章
百度学术
百度学术中相似的文章
[Ye, Peijun]的文章
[Wen, Ding]的文章
必应学术
必应学术中相似的文章
[Ye, Peijun]的文章
[Wen, Ding]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。