交通波在微观模型中的宏观表现

Nour Khoudari, Rabie Ramadan, Megan Ross, Benjamin Seibold
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引用次数: 0

摘要

即使是单车道车辆跟随行为也会引起交通波动。为了更好地理解和缓解交通波动,有必要使用数学模型、数据分析和微观模拟等分析工具来捕捉真实交通流的动态。在这项研究中,我们孤立了汽车跟随动力学,并提出了一个系统的层次测试,将波存在时的微观尺度与有意义的宏观有效状态联系起来。这允许对特定观察到的交通模式的精确归因因果关系进行洞察。我们建立了一种在不稳定状态下由微观模型产生宏观流量的原则方法。然后使用这些量来研究相应的非平衡波结构如何在基本图中表现出来,基于三个基本场景,可以作为理解更复杂的微观模拟研究的基石。最后,本研究给出了不同常用微观模型的简化基本图的形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macroscopic Manifestations of Traffic Waves in Microscopic Models
Traffic waves can rise even from single lane car-following behaviour. To better understand and mitigate traffic waves, it is necessary to use analytical tools like mathematical models, data analysis, and micro-simulations that can capture the dynamics of real traffic flow. In this study, we isolate car-following dynamics and present a systematic hierarchy of tests that connect the microscopic scale with the meaningful macroscopic effective state in the presence of waves. This allows insights with precise attributable cause-to-effect relationships of specific observed traffic patterns. We establish a principled way of generating macroscopic flow quantities from microscopic models in the unstable regime. Those quantities are then used to study how the corresponding non-equilibrium wave structures manifest in the fundamental diagram, based on three basic scenarios that can serve as building blocks for understanding more complex micro-simulation studies. Finally, this study gives insight on the shapes of the reduced fundamental diagrams for different commonly used microscopic models.
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