Logit-based transit assignment: Approach-based formulation and paradox revisit
This paper proposes an approach-based transit assignment model under the assumption of logit-based stochastic user equilibrium (SUE) with fixed demand. This model is proven to have a unique solution. A cost-averaging version of the self-regulated averaging method (SRAM) is developed to solve the proposed approach-based SUE transit assignment problem. It is proven that the algorithm converges to the model solution. Numerical examples with discussions are presented to investigate the model properties, a paradoxical phenomenon due to the stochastic nature of the model, capacity paradox, and the performance of the proposed algorithm. The sensitivity analysis of different model and algorithm parameters are performed. A performance comparison between the cost-averaging SRAM, the flow-averaging SRAM, and the method of successive averages is made. The proposed methodology is demonstrated to be able to solve the Winnipeg transit network.
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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:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Sun, Shangjue
- Szeto, W Y
- Publication Date: 2018-6
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 191-215
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Serial:
- Transportation Research Part B: Methodological
- Volume: 112
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Logits; Public transit; Stochastic processes; Traffic assignment
- Uncontrolled Terms: Stochastic user equilibrium; Transit assignment
- Geographic Terms: Winnipeg (Canada)
- Subject Areas: Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01670543
- Record Type: Publication
- Files: TRIS
- Created Date: May 29 2018 4:01PM