摘要
在使用格拉布斯准则剔除交通检测数据中的疏失误差数据基础上,建立了一种基于Bayes参数估计的数据融合算法,运用该方法进行交通量检测,并得到数据的最优估计值.仿真结果表明,该算法简单有效,且适合编程实现.
The outlying observation data are eliminated by Grubbs＇s criterion, then a weighted data fusion algorithm based on Bayes parameter estimation is used and the best estimation results of traffic volume detection are obtained. It has been proved that this method is not only simple and efficient, but also convenient for programming.
出处
《郑州轻工业学院学报（自然科学版）》
CAS
2006年第4期44-46,共3页
Journal of Zhengzhou University of Light Industry:Natural Science
