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。
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.
出处
《中南公路工程》
2005年第4期108-109,123,共3页
Central South Highway Engineering
基金
湖南省交通厅资助项目
关键词
卡尔曼滤波
预测模型
交通信息
kalman filter
prediction model
traffic information
traffic engineering
