Opposing Hysteresis Patterns in Flow and Outflow Macroscopic Fundamental Diagrams and Their Implications

流出 流量(数学) 图表 磁滞 机械 滞后 流量网络 流量(计算机网络) 模拟 顺时针方向的 功能(生物学) 统计物理学 控制理论(社会学) 数学 计量经济学 计算机科学 统计 物理 数学优化 气象学 几何学 旋转(数学) 人工智能 控制(管理) 生物 进化生物学 量子力学 计算机安全 计算机网络
作者
Guanhao Xu,Pengxiang Zhang,Vikash V. Gayah,Xianbiao Hu
出处
期刊:Transportation Research Record [SAGE Publishing]
卷期号:2677 (8): 100-117 被引量:4
标识
DOI:10.1177/03611981231155421
摘要

Two key aggregated traffic models are the relationship between average network flow and density (known as the network or flow macroscopic fundamental diagram [flow-MFD]) and the relationship between trip completion and density (known as network exit function or the outflow-MFD [o-FMD]). The flow- and o-MFDs have been shown to be related by average network length and average trip distance under steady-state conditions. However, recent studies have demonstrated that these two relationships might have different patterns when traffic conditions are allowed to vary: the flow-MFD exhibits a clockwise hysteresis loop, while the o-MFD exhibits a counter-clockwise loop. One recent study attributes this behavior to the presence of bottlenecks within the network. The present paper demonstrates that this phenomenon may arise even without bottlenecks present and offers an alternative, but more general, explanation for these findings: a vehicle’s entire trip contributes to a network’s average flow, while only its end contributes to the trip completion rate. This lag can also be exaggerated by trips with different lengths, and it can lead to other patterns in the o-MFD such as figure-eight patterns. A simple arterial example is used to demonstrate this explanation and reveal the expected patterns, and they are also identified in real networks using empirical data. Then, simulations of a congestible ring network are used to unveil features that might increase or diminish the differences between the flow- and o-MFDs. Finally, more realistic simulations are used to confirm that these behaviors arise in real networks.
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