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基于卡尔曼滤波理论的交通信息预测模型及其应用
引用本文:李嘉,刘小兰.基于卡尔曼滤波理论的交通信息预测模型及其应用[J].中南公路工程,2005,30(4):108-109,123.
作者姓名:李嘉  刘小兰
作者单位:湖南大学土木学院,湖南长沙410082
基金项目:湖南省交通厅资助项目.
摘    要:为了改善交通预测值的精度,采用改进的卡尔曼滤波法进行交通信息预测,提出了其噪声协方差μ的计算方法。改进的预测法能利用实测的交通参数对未来的预测值不断进行修正,适用于交通状况的实时分析。

关 键 词:卡尔曼滤波  预测模型  交通信息
文章编号:1002-1205(2005)04-0108-02
收稿时间:2005-06-15
修稿时间:2005-06-15

A Prediction Model of Traffic Information and Its Application Based on Kalman Filtering Theory
LI Jia, LIU Xiaolan.A Prediction Model of Traffic Information and Its Application Based on Kalman Filtering Theory[J].Central South Highway Engineering,2005,30(4):108-109,123.
Authors:LI Jia  LIU Xiaolan
Institution:College of Civil Engineering, Hunan University, Hunan Changsha, 410082
Abstract:In order to improve the precision of traffic predictive value, the paper presents a modified meth od based on kalman filter to predict traffic information, focusing mainly on the calculation of noise covariance ma trix. By means of measured traffic parameters,the modified method can revise the predictions, which is appropriate to real - time analysis of traffic conditions. An experiment case shows that the predicted result is good.
Keywords:kalman filter  prediction model  traffic information  traffic engineering
本文献已被 CNKI 维普 等数据库收录!
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