城市道路网络多交叉路口交通信号实时优化控制模型与算法

城市道路各交叉口交通信号的实时管理和控制直接影响了整个城市的交通拥挤。以武汉市武昌区各主要交叉路口的交通信号控制问题为背景，构造了交通网络中以多交叉口滞留的车辆数最少为目标的优化模型，用遗传算法对其进行了仿真数据求解，得到了实时控制的配时方案，并与固定周期固定绿信比方案进行了比较，结果表明该模型和算法对交通信号实时控制是非常有效的。

Modeling and Algorithm for Real-time Optimization Traffic Signal Control of Multi-intersection in Urban Roads Network

Real-time control and management strategy for traffic lights of all the intersections gives a direct impact on the (traffic) jam in the city. In this paper, first, we analyze the current situation of the traffic lights at the major intersections of Wuchang District, and then we put forward models to minimize the number of the waiting vehicles at the intersections on the network and design the phases of every intersection. At the same time, we use genetic algorithms to make an emulate (data) research and gain real-time traffic signal setting principles and compare with other signal lights models. According to the result, the model and algorithms are very efficient on real-time traffic signal control.