Full metadata record
DC FieldValueLanguage
dc.contributor.authorSheu, JBen_US
dc.contributor.authorChou, YHen_US
dc.contributor.authorChen, Aen_US
dc.date.accessioned2014-12-08T15:39:18Z-
dc.date.available2014-12-08T15:39:18Z-
dc.date.issued2004-05-01en_US
dc.identifier.issn0307-904Xen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.apm.2003.10.004en_US
dc.identifier.urihttp://hdl.handle.net/11536/26849-
dc.description.abstractModeling and real-time prediction of incident-induced time-varying lane traffic states, e.g., mandatory lane-changing fractions, queue lengths, and delays are vital to investigate the time-varying incident effects on traffic congestion in both the spatial and temporal domains. This paper presents a discrete-time nonlinear stochastic model to characterize the time-varying relationships of specified lane traffic states under the condition of lane-blocking incidents on surface streets. The proposed stochasti: model is composed of four types of equations: (1) recursive equations, (2) measurement equations, (3) delay-aggregation equations, and (4) boundary constraints. In addition, a recursive estimation algorithm is developed for real-time prediction of the specified time-varying lane traffic states. The proposed method Is tested with simulated data generated using the Paramics traffic simulator. The preliminary tests indicate the capability of the proposed method to estimate incident effects on surface street traffic congestion in real time. We also expect that this study can provide real-time incident-related traffic information with benefits both for understanding the impact of incidents on non-recurrent traffic congestion of surface streets, and for developing advanced incident-responsive traffic control and management technologies. (C) 2003 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectstochastic modelingen_US
dc.subjectreal-time predictionen_US
dc.subjectincident-induced traffic congestionen_US
dc.subjectdiscrete-timeen_US
dc.titleStochastic modeling and real-time prediction of incident effects on surface street traffic congestionen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.apm.2003.10.004en_US
dc.identifier.journalAPPLIED MATHEMATICAL MODELLINGen_US
dc.citation.volume28en_US
dc.citation.issue5en_US
dc.citation.spage445en_US
dc.citation.epage468en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000220828300002-
dc.citation.woscount12-
Appears in Collections:Articles


Files in This Item:

  1. 000220828300002.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.