基于多智能体的分布式交通信号协调控制方法

通过建立交通信号控制智能体BDI模型,提出了一种基于多智能体的分布式交通信号协调控制方法.通过相邻路口信号控制智能体的信息交互和协调,在确保路口绿灯时间利用率较高的前提下,尽量使相邻路口驶来的车队不停车地通过路口.编制交通控制微观仿真软件,在一个由8个路口组成的交通网络中对多种信号控制方式进行仿真实验,实验结果表明这种新控制方法的控制效果明显优于传统的定时控制和感应控制方式.

A Distributed and Coordinated Traffic Signal Control Approach Based on Multi-Agent System

After constructing a BDI model of traffic signal control agent, this paper proposes a distributed multi-agent-based coordinated traffic signal control method. Through exchanging messages and cooperating between signal control agents in adjacent intersections, does the control agent's best to let the vehicle fleet from adjacent junction pass the local intersection without stop while guarantees the utility efficiency of the time of green light in the local junction at relatively high level. After programming a microscopic simulation program of traffic control, this paper simulates several different signal control methods in a traffic network consists of eight junctions. The result of simulating illustrates that the effect of the new signal control approach is obviously better than the traditional fixed-time control approach and actuated control approach.