城市交通复原力控制--生态复原力视角

Shengling Gao, Zhikun She, Quanyi Liang, Nan Zheng, Daqing Li
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引用次数: 0

摘要

城市交通的恢复能力越来越受到关注,大多数研究都采用了工程学的视角,假定只有一种最佳平衡状态,并优先考虑局部恢复。另一方面,系统可能拥有多种可稳定状态,生态复原力就是根据扰动在这些状态之间切换的能力。这两种复原力视角的控制策略会产生不同的结果。事实上,尽管交通系统是一个处于高度不确定环境中的复杂系统,可能存在多种可变状态,但以生态复原力为导向的控制在城市交通中却鲜有应用。这种缺失凸显了城市交通生态复原力定义的必要性。为了弥补这一不足,我们将城市交通生态复原力定义为通过转换到其他状态来吸收不确定干扰的能力。我们的目标是建立一个具有更强适应能力的系统,而不一定要回到原来的平衡状态。我们的控制框架包括三个方面:描绘可覆盖范围;设计替代稳态;以及控制系统转向替代稳态以适应大干扰。其中,可恢复范围用吸引区域来描述;替代稳态设置为接近最优状态,在原平衡的吸引区域之外;控制器需要确保替代稳态的局部稳定性,而不改变原平衡吸引区域内的轨迹。这些结果将有助于未来弹性智能交通系统的基础理论研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban traffic resilience control -- An ecological resilience perspective
Urban traffic resilience has gained increased attention, with most studies adopting an engineering perspective that assumes a single optimal equilibrium and prioritizes local recovery. On the other hand, systems may possess multiple metastable states, and ecological resilience is the ability to switch between these states according to perturbations. Control strategies from these two resilience perspectives yield distinct outcomes. In fact, ecological resilience oriented control has rarely been viewed in urban traffic, despite the fact that traffic system is a complex system in highly uncertain environment with possible multiple metastable states. This absence highlights the necessity for urban traffic ecological resilience definition. To bridge this gap, we defines urban traffic ecological resilience as the ability to absorb uncertain perturbations by shifting to alternative states. The goal is to generate a system with greater adaptability, without necessarily returning to the original equilibrium. Our control framework comprises three aspects: portraying the recoverable scopes; designing alternative steady states; and controlling system to shift to alternative steady states for adapting large disturbances. Among them, the recoverable scopes are portrayed by attraction region; the alternative steady states are set close to the optimal state and outside the attraction region of the original equilibrium; the controller needs to ensure the local stability of the alternative steady states, without changing the trajectories inside the attraction region of the original equilibrium. Comparisons with classical engineering resilience oriented urban traffic resilience control schemes show that, proposed ecological resilience oriented control schemes can generate greater resilience. These results will contribute to the fundamental theory of future resilient intelligent transportation system.
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