Adding-weight One- rank Local Predication Model of Busy Traffic based on Correlation
Zhimei Duan, Xiaojin Yuan, Yan Xiong · Advances in computer science research · 2017
In order to improve accuracy of adding-weight one-rank local prediction, the paper proposed the correlation function to measure the correlation between different phase points, which is used to determine reference neighborhood of prediction center point, and made the values of expressing correlation to act on model by means of adding-weight, derived the identification algorithm of model parameters.Applied prediction model to prediction of busy traffic; the results show that the model effectively improves prediction accuracy of busy traffic, verifying the relevant function to measure the effectiveness of the phase correlation between different phase points.