城市区域周边交通流控制器的鲁棒控制设计

Arie Shraiber, Jack Haddad
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引用次数: 4

摘要

最近的研究在宏观基本图(MFD)表示的帮助下,为同质城市区域和多个城市区域引入了周长反馈控制策略,该策略与网络上的平均流量和密度(或积累)有关。周界控制器位于区域边界,控制跨边界的传输流,同时调节临界密度或聚落周围(附近),从而使系统吞吐量最大化。而在一个城市区域系统中,期望状态是事先已知的(给定MFD形状),对于具有多个城市区域的系统,期望积累点是未知的。此外,在某些交通场景中,控制器无法围绕临界积累进行调节,例如由于高需求。针对城市区域,设计了一种鲁棒周长控制器。控制器的目标是满足控制规范,对整个积累集、非拥塞和拥塞积累都具有良好的性能,并且在关键积累设值附近的值范围没有必要。此外,与以往的工作不同,鲁棒控制器还被设计为以系统的方式处理设计层内的控制约束,其中约束是利用所谓的描述函数显式集成的。对比结果表明,在不同的交通场景下,鲁棒控制器的性能明显优于“标准”反馈控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust control design for a perimeter traffic flow controller at an urban region
Recent works have introduced perimeter feedback-control strategies for a homogenous urban region and multiple urban regions with the help of the macroscopic fundamental diagram (MFD) representation, that relates average flow and density (or accumulation) across the network. The perimeter controller is located on the region border, and manipulates the transfer flows across the border, while aiming at regulating around (nearby) the critical densities or accumulations, whereby the system throughput is maximized. While in the one urban region system the desired state is known in advance (given the MFD shape), for the system with multiple urban regions the desired accumulation points are not well known. Moreover, in some traffic scenarios the controller cannot regulate around the critical accumulations, e.g. because of high demand. In this paper, a robust perimeter controller for an urban region is designed. The controller aims at satisfying the control specifications and having a good performance for the whole accumulation set, uncongested and congested accumulations, and not necessary for a value range nearby the critical accumulation set-point. Moreover, unlike previous works, the robust controller is also designed to handle the control constraint within the design level in a systematic way, where the constraints are explicitly integrated utilizing the so-called describing function. Comparison results show that the performances of the robust controller are significantly better than a “standard” feedback controller, for different traffic scenarios.
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