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A Method for Signal Coordination in Large-Scale Urban Road Networks

机译:大规模城市路网中的信号协调方法

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Signal coordination methods have been widely investigated to improve the performance of traffic control system in urban road networks. Due to the large-scale of road networks and numerous time-varying parameters, a basic challenge faced by these methods is the high computational complexity. In this research, a method to optimize and coordinate the traffic signal in urban road networks is developed, which deals with this challenge by decomposing the network into several arterial roads and scattered intersections. As a result, an area coordination problem has been solved by coordinating several principal arterial roads and isolated intersections. Firstly, we propose a bandwidth oriented two-way arterial coordination approach. In contrast to previous methods, one important feature of the proposed approach is that not only the phases which provide right of way to the coordinated directions but the phases which provide right of way to the uncoordinated directions are considered. Secondly, to reduce the computational complexity a network decomposition approach is designed, in which a priority level index is defined to quantify the priority level of each road. Then, a coordination algorithm for the whole road network is developed. Finally, effectiveness and efficiency of the proposed method are validated by simulations on VISSIM.
机译:信号协调方法已被广泛研究以改善城市道路网络中交通控制系统的性能。由于道路网络规模庞大且参数随时间变化,这些方法面临的基本挑战是计算复杂度高。在这项研究中,开发了一种优化和协调城市道路网络中交通信号的方法,该方法通过将网络分解为多条主干道路和零散的交叉路口来应对这一挑战。结果,通过协调几条主要干线道路和孤立的交叉路口,解决了区域协调问题。首先,我们提出了一种面向带宽的双向动脉协调方法。与先前的方法相比,所提出的方法的一个重要特征是,不仅考虑了向协调方向提供通行权的阶段,而且还考虑了向非协调方向提供通行权的阶段。其次,为了降低计算复杂度,设计了一种网络分解方法,其中定义了优先级指数以量化每条道路的优先级。然后,开发了用于整个道路网络的协调算法。最后,通过在VISSIM上的仿真验证了所提方法的有效性和效率。

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