Watling, DP orcid.org/0000-0002-6193-9121 and Hazelton, ML (2018) Asymptotic approximations of transient behaviour for day-to-day traffic models. Transportation Research Part B: Methodological, 118. pp. 90-105. ISSN 0191-2615
Abstract
We consider a wide class of stochastic process traffic assignment models that capture the day-to-day evolving interaction between traffic congestion and drivers’ information acquisition and choice processes. Such models provide a description of not only transient change and ‘steady’ behaviour, but also represent additional variability that occurs through probabilistic descriptions. They are therefore highly suited to modelling both the disturbance and subsequent ‘drift’ of networks that are subject to some systematic change, be that a road closure or capacity reduction, new policy measure or general change in demand patterns. In this paper we derive analytic results to probabilistically capture the nature of the transient effects following such a systematic change. This can be thought of as understanding what happens as a system moves from varying about one equilibrium state to varying about a new equilibrium state. The results capture analytically the changes over time in descriptors of the system, in terms of link flow means, variances and covariances. Formally, the analytic results hold asymptotically as approximations, as we imagine demand increasing in tandem with capacities; however, our interest is in general cases where such tandem increases do not occur, and so we provide conditions under which our approximations are likely to work well. Numerical results of applying the methods are reported on several examples. The quality of the approximations is assessed through comparisons with Monte Carlo simulations from the true underlying process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Transportation Research Part B: Methodological. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Markov process; Network change; Route choice; Stochastic process; Stochastic user equilibrium; Transportation network |
Dates: |
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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: | 05 Nov 2018 13:35 |
Last Modified: | 28 Oct 2019 01:41 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trb.2018.10.010 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138176 |