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Book Chapter: Cell-based dynamic equilibrium models

TitleCell-based dynamic equilibrium models
Authors
Issue Date2013
PublisherSpringer
Citation
Cell-based dynamic equilibrium models. In Ukkursuri, SV and Özbay, K (Eds.), Advances in dynamic network modeling in complex transportation systems , p. 163-192. New York, NY: Springer, 2013 How to Cite?
AbstractCell-based dynamic equilibrium models are one class of dynamic traffic assignment (DTA) models that can capture equilibrium conditions and realistic traffic dynamics, such as queue spillback, queue formulation, and queue dissipation. However, compared with point-queue DTA models or DTA models using whole-link delay models for flow propagation, cell-based equilibrium models are often more computational demanding. This may raise issues for actual applications, in particular, for the implementation for real-time traffic control and route guidance applications, because the solution must be obtained quickly. Moreover, recent cell-based dynamic equilibrium models tend to capture more realistic travel behavior and traffic dynamics but this made the resulting models even more complicated and more difficult to solve for optimal solutions. Hence, this article aims at reviewing the recent development of cell-based dynamic equilibrium models, the formulation approaches, solution methods used, and the components of these models so as to point out the implementation issues of the latest cell-based dynamic equilibrium model with the consideration supply stochasticity for traffic control and route guidance applications as well as some gaps for future research directions.
Persistent Identifierhttp://hdl.handle.net/10722/153324
ISBN

 

DC FieldValueLanguage
dc.contributor.authorSzeto, WYen_US
dc.date.accessioned2012-07-16T10:06:50Z-
dc.date.available2012-07-16T10:06:50Z-
dc.date.issued2013en_US
dc.identifier.citationCell-based dynamic equilibrium models. In Ukkursuri, SV and Özbay, K (Eds.), Advances in dynamic network modeling in complex transportation systems , p. 163-192. New York, NY: Springer, 2013en_US
dc.identifier.isbn9781461462422-
dc.identifier.urihttp://hdl.handle.net/10722/153324-
dc.description.abstractCell-based dynamic equilibrium models are one class of dynamic traffic assignment (DTA) models that can capture equilibrium conditions and realistic traffic dynamics, such as queue spillback, queue formulation, and queue dissipation. However, compared with point-queue DTA models or DTA models using whole-link delay models for flow propagation, cell-based equilibrium models are often more computational demanding. This may raise issues for actual applications, in particular, for the implementation for real-time traffic control and route guidance applications, because the solution must be obtained quickly. Moreover, recent cell-based dynamic equilibrium models tend to capture more realistic travel behavior and traffic dynamics but this made the resulting models even more complicated and more difficult to solve for optimal solutions. Hence, this article aims at reviewing the recent development of cell-based dynamic equilibrium models, the formulation approaches, solution methods used, and the components of these models so as to point out the implementation issues of the latest cell-based dynamic equilibrium model with the consideration supply stochasticity for traffic control and route guidance applications as well as some gaps for future research directions.-
dc.languageengen_US
dc.publisherSpringer-
dc.relation.ispartofAdvances in dynamic network modeling in complex transportation systemsen_US
dc.titleCell-based dynamic equilibrium modelsen_US
dc.typeBook_Chapteren_US
dc.identifier.emailSzeto, WY: ceszeto@hku.hken_US
dc.identifier.authoritySzeto, WY=rp01377en_US
dc.identifier.doi10.1007/978-1-4614-6243-9_7-
dc.identifier.hkuros201973en_US
dc.identifier.spage163-
dc.identifier.epage192-
dc.publisher.placeNew York, NY-
dc.customcontrol.immutableyiu 130827-
dc.customcontrol.immutableyiu 130827-

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