Optimal route choice algorithm is one of the key ingredients of dynamic traffic distribution theory . its major goals is to find the optimal route to destination from road net as soon as possible with lowest computing error , according to the road structure , road weight and od value 它是根据交通控制系统提供的路网结构、路段权值和出行的od对值，在路网中找出从出发点到目的地的最优路径，其要求是能够尽可能快速和准确地实现诱导路径的计算功能，满足动态交通流诱导的全局寻优和实时性等方面的要求。
From this point on the work has started at assessing the problems and controlling the efficiency of the poliergatics systems , elaborating intelligent devices for the traffic control systems and automatic decision - making in conflict situations , developing airspace systems information technologies , elaborating and optimizing air - navigation flight service in ukraine on the basis of satellite systems cns / atm 现已开展的科研活动：多元系统的控制效率和问题评估，交通控制系统智能设备和冲突条件下自动决策研究，航空系统信息技术开发，以及基于卫星cns / atm通信系统的导航服务优化(乌克兰)研究。
Because of the difficulty to obtain the traffic flow information of lanes at non - detector intersections in most metropolises of the world , based on the relationships between the lanes of signal - controlled intersections , cluster analysis and stepwise regression are integrated to predict the traffic volume of lanes at non - detector isolated controlled intersections . first cluster analysis is used to cluster the lanes of non - detector isolated signal - controlled intersections and the lanes of all signal - controlled intersections with detectors . then , by the results of cluster analysis , the traffic volume samples are selected randomly and stepwise regression is used to predict the traffic volume of lanes at non - detector isolated signal - controlled intersections . the method is tested by the traffic volume data of lanes of the road network of nanjing city . the problem of predicting the traffic volume of lanes at non - detector isolated signal - controlled intersections was resolved and can be widely used in urban traffic flow guidance and urban traffic control in cities without enough intersections equipped with detectors 针对目前国内外大中城市中普遍存在的无检测器信号交叉口车道交通流信息难于获取的情况,基于信号控制交叉口车道之间的相关性,综合应用聚类分析和逐步回归法预测单点无检测器信号控制交叉口车道流量.首先应用聚类分析将单点无检测器信号控制交叉口的车道与有检测器信号控制交叉口的车道交通流量进行聚类,然后在聚类分析结果的基础上随机选取车道交通流量样本运用逐步回归法预测单点无检测器信号控制交叉口的车道流量,此方法经过南京市的具体车道流量数据验证.此类问题的解决,可广泛应用于城市交通流诱导系统以及交通控制系统
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
In this paper , a machine learning real time urban traffic control system is developed on the base of research on systems analysis of urban traffic and current situation of application of traffic control systems , which adapts to the traffic condition ( mixed traffic flow ) of our country . by means of intelligent control theory , corresponding control algorithm and coordinative control strategies are proposed . the idea and the structure of designing for control system are explained 本文在城市交通系统分析和城市交通控制系统应用现状基础上，建立了适合我国交通流特点的、自学习、实时的城市交通协调控制系统，基于智能控制原理设计了相应的控制算法，提出了城市交通网络的协调控制方案，详细阐述了系统组成结构，并通过仿真运行表明模型与算法的精度达到了实时控制的要求，具有实际应用价值。
The tcc will accommodate area traffic control ( atc ) systems in the new towns , the emergency transport coordination centre ( etcc ) and the monitoring system of the tsing ma communication centre ( tmcc ) to facilitate traffic management , incident management and dissemination of information 交通控制中心将包括现有的紧急交通事故协调中心、青马联络中心的监察系统，以及新市镇的区域交通控制系统。交通控制中心的主要职能是管理交通、协调处理交通事故，以及发放交通信息。
This distributed management system can integrate traffic light control system and route guidance system effectively , and can also strengthen the real - time property and robustness of traffic control system . at the end of this dissertation , the author also gives some suggestion to the further research in these fields 采用多agent技术的集成交通控制系统框架模型，以分布式计算模式平衡交通控制网络的计算负荷，提高了诱导子系统与控制子系统的融合程度，也增强了控制系统的鲁棒性与实时性。
