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Article: Real-time estimation of lane-based queue lengths at isolated signalized junctions

TitleReal-time estimation of lane-based queue lengths at isolated signalized junctions
Authors
Issue Date2015
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc
Citation
Transportation Research Part C: Emerging Technologies, 2015, v. 56, p. 1-17 How to Cite?
AbstractIn this study, we develop a real-time estimation approach for lane-based queue lengths. Our aim is to determine the numbers of queued vehicles in each lane, based on detector information at isolated signalized junctions. The challenges involved in this task are to identify whether there is a residual queue at the start time of each cycle and to determine the proportions of lane-to-lane traffic volumes in each lane. Discriminant models are developed based on time occupancy rates and impulse memories, as calculated by the detector and signal information from a set of upstream and downstream detectors. To determine the proportions of total traffic volume in each lane, the downstream arrivals for each cycle are estimated by using the Kalman filter, which is based on upstream arrivals and downstream discharges collected during the previous cycle. Both the computer simulations and the case study of real-world traffic show that the proposed method is robust and accurate for the estimation of lane-based queue lengths in real time under a wide range of traffic conditions. Calibrated discriminant models play a significant role in determining whether there are residual queued vehicles in each lane at the start time of each cycle. In addition, downstream arrivals estimated by the Kalman filter enhance the accuracy of the estimates by minimizing any error terms caused by lane-changing behavior.
Persistent Identifierhttp://hdl.handle.net/10722/210706
ISSN
2015 Impact Factor: 3.075
2015 SCImago Journal Rankings: 2.062

 

DC FieldValueLanguage
dc.contributor.authorLee, S-
dc.contributor.authorWong, SC-
dc.contributor.authorLi, YC-
dc.date.accessioned2015-06-23T05:47:55Z-
dc.date.available2015-06-23T05:47:55Z-
dc.date.issued2015-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2015, v. 56, p. 1-17-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10722/210706-
dc.description.abstractIn this study, we develop a real-time estimation approach for lane-based queue lengths. Our aim is to determine the numbers of queued vehicles in each lane, based on detector information at isolated signalized junctions. The challenges involved in this task are to identify whether there is a residual queue at the start time of each cycle and to determine the proportions of lane-to-lane traffic volumes in each lane. Discriminant models are developed based on time occupancy rates and impulse memories, as calculated by the detector and signal information from a set of upstream and downstream detectors. To determine the proportions of total traffic volume in each lane, the downstream arrivals for each cycle are estimated by using the Kalman filter, which is based on upstream arrivals and downstream discharges collected during the previous cycle. Both the computer simulations and the case study of real-world traffic show that the proposed method is robust and accurate for the estimation of lane-based queue lengths in real time under a wide range of traffic conditions. Calibrated discriminant models play a significant role in determining whether there are residual queued vehicles in each lane at the start time of each cycle. In addition, downstream arrivals estimated by the Kalman filter enhance the accuracy of the estimates by minimizing any error terms caused by lane-changing behavior.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License-
dc.titleReal-time estimation of lane-based queue lengths at isolated signalized junctions-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.emailLi, YC: liycjoey@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.trc.2015.03.019-
dc.identifier.hkuros244039-
dc.identifier.volume56-
dc.identifier.spage1-
dc.identifier.epage17-
dc.publisher.placeUnited Kingdom-

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