arXiv:2512.11842eess.SYcs.RO2025-12

用控制器消除交通拥堵波,单辆车就能让整圈车流稳定。

Car-following Models and Congestion Control with Followerstopper on a Ring-Road under Known Delay -- Examining Limit Cycle

  • 通过动力系统视角分析延迟对车流的影响,发现传统模型易引发拥堵。
  • 单辆车辆用Followerstopper控制后,可使全环路车流稳定匀速行驶。
  • 即使已知时间延迟,该方法仍能有效抑制交通波产生,适合智能交通应用。

本文从动力系统角度研究了IDM微观跟驰模型在环形道路中的表现,分析了时延对拥堵形成的影响。在混合自主性场景下,通过控制一辆车使用Followerstopper算法,使其作为人类驾驶车辆(IDM)组成的环路中的一员。结果表明,在理想交通条件下,传统的跟驰模型会诱发周期性的停走波;而引入一个由Followerstopper控制的车辆后,系统均匀流流形变得稳定,所有车辆可保持一致速度安全行驶。此外,在已知时延条件下,交通波出现时间较无延迟情况更早,但单个使用Followerstopper的车辆仍能有效阻止交通波生成。

原文摘要 · Abstract (English)

This paper examines the IDM microscopic car-following model from a dynamical systems perspective, analyzing the effects of delay on congestion formation. Further, a case of mixed-autonomy is considered by controlling one car with Followerstopper in a ring road setting containing IDM vehicles as human drivers. Specifically, the stop-and-go waves phenomenon in idealized traffic from a dynamical systems perspective is examined. We show that Followerstopper-controlled vehicle is effective at eliminating emergent stop-and-go waves in the IDM traffic simulation. We show through simulation that the uniform flow manifold is unstable for the ring road simulation with IDM vehicles, and that replacing a single car with Followerstopper induces stability, allowing the cars to drive safely at a uniform speed. Additionally, the case of known delay is considered in a mixed-autonomy scenario. Our simulation result shows that while considering a known time delay, traffic waves emerge earlier than in the no-delay case. At the same time, a single-vehicle controlled using Followerstopper controller is able to prevent the emergence of traffic waves even in the presence of delay.

交通建模跟驰模型拥堵控制智能驾驶

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