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基于蚁群算法的道路交叉口模糊控制研究

Research into the Traffic Fuzzy Control on the Ant Colony Algorithm for Single Intersection
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摘要 交通问题的研究在世界上是一个热点,同时也是一个难点。究其原因,主要是由于交通流的随机性和不确定性所决定的。模糊控制能够方便地结合人的思维和经验,适合应用在在交通信号控制系统上。本文采用蚁群算法对传统交通模糊控制器进行改进,使道路信号交叉口交通控制方案更具有自适应性,以减少车辆延误、提高通行能力。 The study on traffic problem is a hot spot in the world,but also a difficult point.The reason is mainly setermined by the randomness and uncertainty of traffic flow.The fuzzy control canbe easily intedrated with people's thinking and experience,and is suitable for applying to the traffic single control system.In this paper,the ant colony algoriyhm is used to improve the traditional fuzzy controller.Thereby,the vehicle delay is enabled to reduce,and the passing capacity has upgraded.
作者 樊爱龙 陈锐
出处 《辽宁科技学院学报》 2009年第4期3-4,共2页 Journal of Liaoning Institute of Science and Technology
关键词 蚁群算法 调整因子 交叉口 Ant colony algorithm Adjustment factor Intersection
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