论文标题
与战略通勤者的多日用户平衡
Multiday User Equilibrium with Strategic Commuters
论文作者
论文摘要
在连接和自动化的移动性时代，通勤者将拥有强大的计算能力，从而使他们能够在计划范围内战略性地做出顺序的旅行选择。本文研究了这种决策行为引起的多日交通模式。在此过程中，我们将通勤问题作为平均场地马尔可夫游戏构图，并引入了多日用户平衡的新颖概念，以捕获通勤者相互作用的稳定状态。拟议的模型是一般的，可以针对各种旅行选择（例如路线或出发时间）进行量身定制。我们探索在温和条件下多日用户平衡的一系列特性。该研究揭示了用户惯性在网络流程模式上的指纹，即使在稳定状态下也会引起日间变化。此外，我们的分析还建立了多日用户平衡与常规衣橱平衡之间的关键联系。
In the era of connected and automated mobility, commuters will 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.
