基于信息融合技术的交通量检测方法  

Methods for the Traffic Volume Detection Based on Information Fusion Technique

作　　者：刘智勇[1] 李水友[1] 

机构地区：[1]五邑大学,广东江门529020

出　　处：《公路交通科技》2003年第2期81-84,共4页Journal of Highway and Transportation Research and Development

基　　金：教育部高等学校骨干教师资助计划项目 (教技司 [2 0 0 0 ] 65号 ) ;广东省自然科学基金资助项目 (0 1 0 4 86)

摘　　要：在一种新的交通量检测模式下 ,用加权平均算法实现了饱和度的信息融合 ;对拥挤和非拥挤的交通流 ,在无信息先验分布的假设下 ,应用Bayes方法实现了交通流量的信息融合。上述信息融合方法可为交通控制系统提供更全面、更准确的交通量信息。Under a new way of traffic volume detection, a so?called weighted average method is proposed in this paper for fusing the detected information of saturation degree Based on assumptions of unknown prior distribution, the Bayes method is presented to achieve the information fusion of traffic volume for congested or non?congested traffic flow The above information fusion methods can provide more overall and more accurate traffic volume information for the urban traffic control system Simulation results show that the methods are feasible

关 键 词：信息融合 交通量检测方法 BAYES方法 交通流量 城市交通控制 

分 类 号：U491.112[交通运输工程—交通运输规划与管理]