Application of the ARMA Model in Railway Freight Volume Analysis

摘要

Railway freight volume is an important index in railway transportation. This paper combined ARMA model with multivariate regression model to analyze the variables that affected the rail freight volume. Ten variables are selected as explanatory variables to study their relationship with rail freight volume. The results show that the rail freight volume is affected by many factors together and we also get the rail freight regression equation. Our results can provide the support for the traffic department to develop the transport plan.