摘要
本文中提出一种城市交通智能控制系统 ,针对城市交通网络中相邻交叉口的交通流可能相互冲突 ,即局部交通流的优化可能引起其他区域交通状况的恶化的问题 ,采用多智能体协调控制方法来协调相邻交叉口处的控制信号消除网络中的交通拥塞 .提出以一个智能体的方式实现一个信号灯交叉口控制 ,对多个信号灯交叉口形成的交通网络采用多智能体协调控制的方式实现网络流量优化来消除拥塞 .文中提出由递归建模和改进的贝叶斯学习相结合的多智能体系统来使智能体可以确定其他智能体的准确模型并实时更新信息 ,并基于上述方法在简单的交通网络模型上建立了多智能体交通控制系统 ,仿真结果表明了方法的有效性 ,对实现智能交通系统有重要意义 .
This research addressed an urban traffic intelligent control system,which adopts a multi agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network.An agent represents a signal intersection control,and multi agents realize coordination of multiple intersections to eliminate congestion.Based on Recursive Modeling Method and Bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update.Based on this method,a simplified multi agent traffic control system is established and the results demonstrate its effectiveness.It is very important for ITS.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2000年第12期52-55,共4页
Acta Electronica Sinica
基金
国家 8 63/CIMS基金!(No.9845 0 0 8)
关键词
多智能体
智能控制系统
城市交通控制
multi agent
cooperative control
urban traffic control
ITS
