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Perimeter control for urban traffic system based on macroscopic fundamental diagram

机译:基于宏观基础图的城市交通系统的周边控制

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In this paper, we study the application of perimeter flow control by simulation of cellular automaton model on urban traffic system. We find that the relation of traffic flow and vehicle density (Macroscopic Fundamental Diagram, MFD) will have different shapes for the core area and the peripheral area. The MFD shows free-flow state, saturate flow state and congestion state. But the magnitude of maximal flow and the position for congestion transition are different for the whole system and the core area. We suggest to realize the perimeter control strategy by assigning a special prohibiting phase to the perimeter traffic lights for the roads entering the core area. The strategy is controlled by two critical densities rho(1) and rho(2), which are determined by the MFD of the core area. Simulations show that both the average arrival rate and the average flow will be greatly improved with the perimeter flow control strategy. In addition, the perimeter flow control strategy can increase the critical density of traffic congestion. The probability of system-wide gridlock will decrease, and the system can perform well under both close and open boundary conditions. All the results indicate that the perimeter flow control strategy can effectively improve the performance of the traffic system. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文研究了城市交通系统蜂窝自动化模型的应用流量控制的应用。我们发现交通流量和车辆密度(宏观基础图,MFD)的关系对于核心区域和外围区域将具有不同的形状。 MFD显示自由流动状态,饱和流状态和拥塞状态。但是最大流量的大小和拥塞过渡的位置对于整个系统和核心区域是不同的。我们建议通过将特殊的禁止阶段分配到进入核心区域的道路的周边红绿灯来实现周边控制策略。该策略由两个关键密度Rho(1)和Rho(2)控制,其由核心区域的MFD确定。模拟表明,随着周边流量控制策略将大大提高平均到达率和平均流量。此外,周边流量控制策略可以增加交通拥堵的临界密度。系统范围栅格栅的概率将减小,系统可以在闭合和开放边界条件下表现良好。所有结果表明周边流量控制策略可以有效地提高交通系统的性能。 (c)2018年elestvier b.v.保留所有权利。

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