聚类与模式匹配方法在区域交通控制中的应用  

Application of Clustering and Pattern Matching to Area Traffic Control

作　　者：赵秋林[1] 刘智勇[1] 

机构地区：[1]五邑大学,江门529020

出　　处：《交通与计算机》2005年第2期44-47,共4页Computer and Communications

基　　金：广东省自然科学基金项目资助 (0 1 0 486)

摘　　要：针对区域交通控制中定时控制效果不佳,以及区域交通模型很难建立的特点,文章提出了一种基于聚类与模式匹配的区域交通控制方法。针对不同的交通网络状态模式,用信号配时优化程序和仿真软件算出每种模式的最佳配时方案;当系统识别出网络处于某种模式时,就可根据事先确定的最优方案进行控制。该方法具有无须建立交通模型、适用性广等优点。仿真结果表明,此方法可行。To deal with problems that fixed-time control has a poor effect in area traffic control and that it is difficult to build the model of area traffic, this paper puts forward an area traffic control method based on clustering and pattern matching. According to different pattern, the best timing plan can be worked out by the signal timing optimizing program and the simulated software. When the system recognizes the network in a certain pattern, the control can be achieved according to the scheduled optimal plan. The method needs not build the traffic model and can be applied widely. Simulation results indicate that the method is feasible and effective.

关 键 词：匹配方法 聚类 应用 交通控制方法 交通模型 控制效果 模式匹配 状态模式 交通网络 仿真软件 优化程序 信号配时 系统识别 仿真结果 适用性 方案 最优 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TN919.81[自动化与计算机技术—计算机科学与技术]