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  • 标题:Simultaneous identification of sensor faults and origin-destination matrix estimation
  • 本地全文:下载
  • 作者:Yiolanda Englezou ; Stelios Timotheou ; Christos G. Panayiotou
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:6
  • 页码:151-156
  • DOI:10.1016/j.ifacol.2022.07.121
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractEfficient estimation of the origin-destination (OD) matrix is a crucial requirement for traffic monitoring and control. The OD matrix estimation problem has received significant attention over the past decades and various approaches using traffic counts from fixed location sensors have been developed and tested. A significant challenge when using information obtained from traffic sensors, is that such sensors are subject to considerable disruptions due to system errors, that affect the quality and reliability of the information provided. This paper presents a novel approach for OD matrix estimation in the presence of faulty sensors. For the purposes of this work we assume that the network under study operates under free-flow conditions and utilise a variation of the cell transmission model to capture the traffic flow dynamics in a pre-specified time window. The problem is formulated in an optimisation framework and solved by taking into account the presence of faulty measurements. We test and validate the proposed methodology on a sample network and investigate the advantage of OD matrix estimation in the presence of faulty measurements compared to OD matrix estimation when faulty sensors are not considered.
  • 关键词:KeywordsoptimisationOD demandpath demandmacroscopic modeltraffic flow dynamics
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