具有公交优先的路网交通流智能协调控制

在分布式道路交通控制结构以及模糊理论和人工神经网络技术的基础上,提出了一种具有公交优先的路网交通流智能协调控制技术.把整个路网作为一个大系统,路网中的各个路口为子系统,每个路口设置一个网络型的多相位智能信号控制机,实现对当前路口的交通控制和相邻路口间的协调.核心部分由3个模块组成：公交优先模块、绿灯观察模块和相位切换模块.详细设计了每个模块模糊决策方法,并用人工神经网络来实现模糊关系并提高系统的鲁棒性.目标通过相邻路口信号控制机的信息交互和协调,实现整个路网交通流的协调和公交优先通行.仿真研究结果表明,在时变和大流量交通环境中,该技术的控制效果明显优于传统的单路口车辆感应控制方法.

Intelligent coordinated control of traffic flow on road network with bus-priority

On the basis of distributed road traffic control framework, fuzzy theory and artificial neural networks technique, a traffic intelligent coordination control technique with bus-priority is proposed. The whole road network is regarded as a large scale system and the subsystems are the intersections. A multi-phase intelligent signal controller that controlls its own traffic and cooperates with its neighbors is installed at each intersection. Bus-priority module, green observation module and phase switch module  comprise the hard core of the signal controller. In each module, the fuzzy rule base system is designed in detail. In order to improve the control system’s robusticity, the fuzzy relation of each module is implemented by a neural network respectively. Through information exchange and cooperating among adjacent signal controllers, social vehicle coordination and bus -priority in the whole road network are realized. Simulation  shows that the proposed method has better performance in the cases of time-varying traffic patterns and heavy traffic conditions than the traditional isolated intersection vehicle actuated control method.