机构地区: 清华大学信息科学技术学院自动化系
出 处: 《西南交通大学学报》 2003年第6期619-622,共4页
摘 要: 根据城市交通流量的特点,提出采用主成分分析法分析城市交通路口的相关性,并给出了相应的的计算模型和算法.作为实例,通过对北京市20个路口交通流量历史数据的分析,获得了路口相关性的分析结果,为实现交通信号灯的智能控制和车辆诱导提供了部分基础数据. From the characteristics of urban traffic flow, the principal component analysis(PCA) was applied to analyzing the dependency of urban intersections, and the corresponding model and algorithm were proposed. Through the analysis of historic data of traffic flow in twenty intersections in Beijing City, as an example, the dependency of these intersections was obtained. As a result, the research offers a reference for the intelligent control of traffic signals and the guidance of vehicles .
领 域: [交通运输工程]