Dynamic traffic assignment in a corridor network: Optimum versus equilibrium
This study investigates dynamic system-optimal (DSO) and dynamic user equilibrium (DUE) traffic assignment of departure/arrival-time choices in a corridor network. A morning commute problem with a many-to-one pattern of origin–destination (OD) demand and an evening commute problem with a one-to-many OD pattern are considered. Specifically, the authors first derive a closed-form solution to the DSO problem based on the regularities of the cost and flow variables. By utilizing this solution, the authors prove that the bottleneck queuing delay of the DUE solution is equal to the optimal toll that eliminates the queue in the DSO solution under certain conditions on a schedule delay function. This enables the authors to derive a closed-form DUE solution from the DSO solution. The authors also show theoretical relationships between the DSO and DUE assignment. Numerical examples are provided to illustrate and verify the analytical results.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Fu, Haoran
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0000-0002-7204-0672
- Akamatsu, Takashi
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0000-0002-8545-839X
- Satsukawa, Koki
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0000-0001-8829-7141
- Wada, Kentaro
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0000-0002-7552-2706
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 218-246
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Serial:
- Transportation Research Part B: Methodological
- Volume: 161
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Commuting; Departure time; Dynamic traffic assignment; Equilibrium (Systems); Highway corridors; Optimization
- Subject Areas: Passenger Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01848351
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 10 2022 3:44PM