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 本文中提出一種城市交通智能控制系統(tǒng),針對城市交通網(wǎng)絡(luò)中相鄰交叉口的交通流可能相互沖突,即局部交通流的優(yōu)化可能引起其他區(qū)域交通狀況的惡化的問題,采用多智能體協(xié)調(diào)控制方法來協(xié)調(diào)相鄰交叉口處的控制信號消除網(wǎng)絡(luò)中的交通擁塞.提出以一個智能體的方式實(shí)現(xiàn)一個信號燈交叉口控制,對多個信號燈交叉口形成的交通網(wǎng)絡(luò)采用多智能體協(xié)調(diào)控制的方式實(shí)現(xiàn)網(wǎng)絡(luò)流量優(yōu)化來消除擁塞.文中提出由遞歸建模和改進(jìn)的貝葉斯學(xué)習(xí)相結(jié)合的多智能體系統(tǒng)來使智能體可以確定其他智能體的準(zhǔn)確模型并實(shí)時更新信息,并基于上述方法在簡單的交通網(wǎng)絡(luò)模型上建立了多智能體交通控制系統(tǒng),仿真結(jié)果表明了方法的有效性,對實(shí)現(xiàn)智能交通系統(tǒng)有重要意義