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Adaptive Max Pressure Control of Network of Signalized Intersections

机译:信号交叉口网络自适应最大压力控制

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摘要

Abstract: The control of a road network of signalised intersections is considered. Variants of a decentralised universal feedback control policy (UFC) are evaluated and compared with an open loop traffic regulator periodically distributing the same actuation duration to each stage (set of permitted movements). At the beginning of each cycle and for a particular intersection, the Max-Pressure (MP) controller selects a stage to actuate as a function of the adjacent queues to that intersection. Vehicle movements are modelled as a store and forward (SF) queuing network. A controller stabilises a demand if the mean queue length remains bounded. The current MP version requires no knowledge of the demand while estimates turn probabilities. A section near LA comprised of 16 intersections and 76 links is employed. The network performance is appraised when regular traffic conditions, congestions or unforeseen feasible demand fluctuations take place. The conducted study assesses the potential benefits of MP and confirms its adaptability. Each control strategy is evaluated in terms of queue lengths, delays, travel times etc. by discrete event simulations confirming the provided theoretical guaranteed (queue) bounds of MP.
机译:摘要: 考虑了信号交叉口道路网络的控制。对分散式通用反馈控制策略 (UFC) 的变体进行评估,并与定期将相同驱动持续时间分配给每个阶段(一组允许的运动)的开环交通调节器进行比较。在每个循环开始时,对于特定的交叉路口,最大压力 (MP) 控制器会选择一个阶段作为该交叉路口的相邻队列的函数来启动。车辆移动被建模为存储和转发 (SF) 排队网络。如果平均队列长度保持有限制,则控制器会稳定需求。当前的 MP 版本不需要了解需求,而估计会变成概率。洛杉矶附近的路段由 16 个交叉路口和 76 个连接线组成。当发生常规交通状况、拥堵或不可预见的可行需求波动时,会评估网络性能。所进行的研究评估了 MP 的潜在益处并证实了其适应性。通过离散事件仿真,确认所提供的 MP 的理论保证(队列)边界,从队列长度、延迟、旅行时间等方面评估每个控制策略。

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