论文标题
基于反馈的流量控制应用程序的在线设定点估计
Online set-point estimation for feedback-based traffic control applications
论文作者
论文摘要
本文假设存在一个未知，时变的，基本图（FD）的高速公路瓶颈的交通管制。 FD可能会随着时间的流逝而随着时间的流逝而发生变化，例如，轻型和重型车辆，以及在有不同技术的连接和自动化车辆的存在下，以不同的渗透率，导致不稳定和不确定的驾驶特性。提出了一种基于模型参考自适应控制的新方法，以实时稳健地估算时间变化的设定点，以最大化瓶颈吞吐量，当通过基于反馈的控制器调节流量时，特别有用。此外，我们通过Lyapunov分析证明了所提出的控制器的全球渐近稳定性。通过仿真实验评估了所提出的方法的有效性，在该实验中，将估计器集成到反馈斜坡控制策略中，采用二阶多车道宏观交通流模型，修改以考虑时间变化的FDS。
This paper deals with traffic control at motorway bottlenecks assuming the existence of an unknown, time-varying, Fundamental Diagram (FD). The FD may change over time due to different traffic compositions, e.g., light and heavy vehicles, as well as in the presence of connected and automated vehicles equipped with different technologies at varying penetration rates, leading to inconstant and uncertain driving characteristics. A novel methodology, based on Model Reference Adaptive Control, is proposed to robustly estimate in real-time the time-varying set-points that maximise the bottleneck throughput, particularly useful when the traffic is regulated via a feedback-based controller. Furthermore, we demonstrate the global asymptotic stability of the proposed controller through a Lyapunov analysis. The effectiveness of the proposed approach is evaluated via simulation experiments, where the estimator is integrated into a feedback ramp-metering control strategy, employing a second-order multi-lane macroscopic traffic flow model, modified to account for time-varying FDs.
