Multiday User Equilibrium with Strategic Commuters

Minghui Wu (), Yafeng Yin () and Jerome P. Lynch ()
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Minghui Wu: Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109; and Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
Yafeng Yin: Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109; and Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
Jerome P. Lynch: Department of Civil and Environmental Engineering, Duke University, Durham, North Carolina 27708

Transportation Science, 2025, vol. 59, issue 2, 413-432

Abstract: In the era of connected and automated mobility, commuters possess strong computation power, enabling them to strategically make sequential travel choices over a planning horizon. This paper investigates the multiday traffic patterns that arise from such decision-making behavior. In doing so, we frame the commute problem as a mean-field Markov game and introduce a novel concept of multiday user equilibrium to capture the steady state of commuters’ interactions. The proposed model is general and can be tailored to various travel choices, such as route or departure time. We explore a range of properties of the multiday user equilibrium under mild conditions. The study reveals the fingerprint of user inertia on network flow patterns, causing between-day variations even at a steady state. Furthermore, our analysis establishes critical connections between the multiday user equilibrium and conventional Wardrop equilibrium.

Keywords: multiday user equilibrium; connected and automated mobility; sequential decision making; mean-field game (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:59:y:2025:i:2:p:413-432

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