基于交叉口重要度深度搜索的区域信号协调控制方法

城市路网规模的不断扩大，给城市交通控制系统带来严峻的挑战.本文对交叉口之间的交通关联关系及表征交叉口关联性的交通流参数进行了分析，从而明确路网的拓扑结构，建立了以路网拓扑结构为基础的交叉口重要度估计模型，并根据有向深度搜索算法设计了区域信号协调优化方法.该方法从全局的角度建立了一种均衡疏导路网交通流的信号协调控制方法.最后将本文提出的方法与Synchro7优化出的控制方案对比，利用微观仿真软件SUMO进行控制效益评价，仿真结果表明，本文的方法可以有效提高信号控制效益.

An Area-wide Traffic Signal Coordination Method Based on the Deep First Search of Intersection’s Importance

The continuous expansion of urban road network challenges the urban traffic control system seriously. This paper analyzes the traffic correlation between the intersections and the traffic flow parameters that represent the correlation, so as to clarify the topology of the road network. The intersection importance estimation model is built based on the road network topology. Then the area-wide traffic signal coordination method is designed by the deep first search of priority order. This method establishes a balanced network traffic flow signal coordination control method from a global perspective. At last, the proposed method is compared with the signal control scheme optimized by Synchro 7. The micro-simulation program SUMO is used to evaluate the control effectiveness. The simulation result shows that the proposed method can improve signal control performance effectively.