Duncan, LC, Watling, DP orcid.org/0000-0002-6193-9121, Connors, RD orcid.org/0000-0002-1696-0175 et al. (2 more authors) (2022) Choice set robustness and internal consistency in correlation-based logit stochastic user equilibrium models. Transportmetrica A: Transport Science. ISSN 2324-9935
Abstract
The Stochastic User Equilibrium (SUE) traffic assignment model is a well-known approach for investigating the behaviours of travellers on congested road networks. SUE compensates for driver/modelling uncertainty of the route travel costs by supposing the costs include stochastic terms. Two key challenges for SUE modelling, however, are capturing route correlations and dealing with unrealistic routes. Numerous correlation-based SUE models have been proposed, but issues remain over both internal consistency and choice set robustness. This paper formulates (and proves solution existence for) new internally consistent SUE formulations of GEV structure and correction term logit route choice models, where the functional forms in the correlation components are based upon generalised, flow-dependent congested costs, rather than e.g. length / free-flow travel time as done typically. Numerical experiments are then conducted on the Sioux Falls and Winnipeg networks, where computational feasibility for obtaining internally consistent solutions, choice set robustness, and internal consistency are assessed/compared.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2022 Hong Kong Society for Transportation Studies Limited. This is an author produced version of a journal article published in Transportmetrica A: Transport Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Internal consistency, choice set robustness, stochastic user equilibrium, correlation, fixed-point |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Apr 2022 09:54 |
Last Modified: | 06 May 2023 00:13 |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/23249935.2022.2063969 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185428 |