时滞反馈汽车跟随模型:局部稳定性和Hopf分岔

G. Kamath, K. Jagannathan, G. Raina
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引用次数: 15

摘要

反应时滞在确定直线道路上行驶车辆的定性动力学特性方面起着重要作用。在本文中,我们研究了延迟反馈对两种被广泛研究的汽车跟随模型动力学的影响;即经典的跟车模型和最优速度模型。我们首先对两个模型进行控制理论分析,并推导出保证局部稳定的条件。然后我们证明了交通流从局部稳定状态到不稳定状态的过渡是通过Hopf分岔发生的。定性地说,这导致极限环的出现,它表现为反向传播的拥塞波。分析还附有稳定性图和分岔图。我们还概述了我们的结果可能对自动驾驶车辆稳定系统设计的一些影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Car-following models with delayed feedback: Local stability and Hopf bifurcation
Reaction delays play an important role in determining the qualitative dynamical properties of a platoon of vehicles driving on a straight road. In this paper, we investigate the impact of delayed feedback on the dynamics of two widely-studied car-following models; namely, the classical car-following model and the optimal velocity model. We first conduct a control-theoretic analysis for both models and derive conditions that ensure local stability. We then demonstrate that the transition of traffic flow from the locally stable to the unstable regime occurs via a Hopf bifurcation. Qualitatively, this results in the emergence of limit cycles, which manifest as a back-propagating congestion wave. The analysis is complemented with stability charts and bifurcation diagrams. We also outline some of the implications that our results may have on the design of stable systems in the context of self-driven vehicles.
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