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Multiday User Equilibrium with Strategic Commuters

Author

Listed:
  • 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)

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.

Suggested Citation

  • Minghui Wu & Yafeng Yin & Jerome P. Lynch, 2025. "Multiday User Equilibrium with Strategic Commuters," Transportation Science, INFORMS, vol. 59(2), pages 413-432, March.
    • Handle: RePEc:inm:ortrsc:v:59:y:2025:i:2:p:413-432
    DOI: 10.1287/trsc.2023.0488
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