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Position weighted backpressure intersection control for urban networks

机译:城市网络的位置加权背压路口控制

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Decentralized intersection control techniques have received recent attention in the literature as means to overcome scalability issues associated with network-wide intersection control. Chief among these techniques are backpressure (BP) control algorithms, which were originally developed of for large wireless networks. In addition to being light-weight computationally, they come with guarantees of performance at the network level, specifically in terms of network-wide stability. The dynamics in backpressure control are represented using networks of point queues and this also applies to all of the applications to traffic control. As such, BP in traffic fail to capture the spatial distribution of vehicles along the intersection links and, consequently, spill-back dynamics.This paper derives a position weighted backpressure (PWBP) control policy for network traffic applying continuum modeling principles of traffic dynamics and thus capture the spatial distribution of vehicles along network roads and spill-back dynamics. PWBP inherits the computational advantages of traditional BP. To prove stability of PWBP, (i) a Lyapunov functional that captures the spatial distribution of vehicles is developed; (ii) the capacity region of the network is formally defined in the context of macroscopic network traffic; and (iii) it is proved, when exogenous arrival rates are within the capacity region, that PWBP control is network stabilizing. We conduct comparisons against a real-world adaptive control implementation for an isolated intersection. Comparisons are also performed against other BP approaches in addition to optimized fixed timing control at the network level. These experiments demonstrate the superiority of PWBP over the other control policies in terms of capacity region, network-wide delay, congestion propagation speed, recoverability from heavy congestion (outside of the capacity region), and response to incidents. (C) 2019 Elsevier Ltd. All rights reserved.
机译:分散交叉路口控制技术作为克服与网络范围交叉路口控制相关的可伸缩性问题的手段在文献中受到了最近的关注。这些技术中最主要的是背压(BP)控制算法,该算法最初是为大型无线网络开发的。除了计算量轻之外,它们还保证了网络级别的性能,尤其是在网络范围内的稳定性方面。使用点队列网络表示背压控制中的动态,这也适用于交通控制的所有应用程序。因此,交通中的BP无法捕获交叉路口沿线车辆的空间分布,因此无法获得回溢动力学特性。本文采用交通动力学的连续性建模原理,推导了网络交通的位置加权背压(PWBP)控制策略。从而捕获沿网络道路的车辆的空间分布和回弹动态。 PWBP继承了传统BP的计算优势。为了证明PWBP的稳定性,(i)开发了一种捕获车辆空间分布的Lyapunov功能; (ii)网络的容量区域是在宏观网络流量的上下文中正式定义的; (iii)证明,当外来到达率在容量范围内时,PWBP控制可使网络稳定。我们针对孤立的十字路口,与现实世界中的自适应控制实现方式进行比较。除了在网络级别优化固定定时控制外,还与其他BP方法进行了比较。这些实验证明了PWBP在容量区域,网络范围的延迟,拥塞传播速度,严重拥塞(容量区域之外)的可恢复性以及对事件的响应方面在其他控制策略方面的优势。 (C)2019 Elsevier Ltd.保留所有权利。

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