%0 Journal Article
%T APPLICATION OF EXTENDED KALMAN FILTER TO THE FREEWAY TRAFFIC FLOW MODEL<br>扩展Kalman滤波法在高速公路交通流模型上的应用
%A LUO Zan-Wen
%A WU Zhi-Jian
%A HAN Zeng-Jin
%A <br>罗赞文
%A 吴志坚
%A 韩曾晋
%J 自动化学报
%D 2002
%I 
%X The freeway traffic flow model is the foundation of designing, analyzing, simulating and operating the Traffic Surveillance&Control System of freeway. Due to the freeway traffic flow model is a high order nonlinear&time variant system, it makes the state estimation of the model become very difficult. This article briefly describes the traffic flow macro dynamic model in a traditional analytic model and the state estimation principle of the Extended Kalman Filter (EKF). Then it discusses the application of the model in a road section which has three sections of equal length, one entry and one exit. The EKF is adopted to simulate the density and velocity of the freeway vehicle flow. The simulation result proves the practicability of this algorithm.
%K EKF
%K freeway
%K traffic flow
%K macro model<br>高速公路
%K 交通流
%K 宏观模型
%K 扩展Kalman滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F1F20A5CF1E8BF90&yid=C3ACC247184A22C1&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=869807E2D7BED9EC&eid=6700D0D256586E73&journal_id=0254-4156&journal_name=自动化学报&referenced_num=3&reference_num=3