【摘要】 高速公路交通流模型是高速公路交通监控系统设计、分析、仿真、运行的基础 .由于高速公路交通流模型是一个高阶非线性时变系统 ,这使得该模型的状态估计问题成为一个非常困难的问题 .这里简要描述了传统解析模型中的交通流宏观动态模型及扩展的卡尔曼滤波法( Extended Kalman Filter- EKF)状态估计原理 ,讨论了该类模型在一条具有三个等长路段 ,一个入口匝道 ,一个出口匝道的公路的应用 ,并利用 EKF得出对三路段高速公路车流密度、车流速度跟踪的仿真结果 .仿真结果表明了算法的实用性更多还原

【Abstract】 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.更多还原