Method for the traffic volume detection based on Bayes parameter estimation and weighted data fusion algorithm
Zhenmin Tang · Journal of Zhengzhou Institute of Light Industry · 2006
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.