Estimating Markov Chain Mixing Times: Convergence Rate Towards Equilibrium of a Stochastic Process Traffic Assignment Model

Iryo, T. orcid.org/0000-0003-0839-0835, Watling, D. orcid.org/0000-0002-6193-9121 and Hazelton, M. orcid.org/0000-0001-7831-725X (2024) Estimating Markov Chain Mixing Times: Convergence Rate Towards Equilibrium of a Stochastic Process Traffic Assignment Model. Transportation Science. ISSN 0041-1655

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Item Type: Article
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This item is protected by copyright. This is an author produced version of an article published in Transportation Science. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Markov chain mixing time, day-to-day dynamics, stochastic traffic assignment process
Dates:
  • Published (online): 8 May 2024
  • Accepted: 19 March 2024
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: 15 May 2024 09:22
Last Modified: 15 May 2024 09:22
Published Version: https://pubsonline.informs.org/doi/10.1287/trsc.20...
Status: Published online
Publisher: Institute for Operations Research and the Management Sciences
Identification Number: 10.1287/trsc.2024.0523
Open Archives Initiative ID (OAI ID):

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