Application of the ARMA Model in Railway Freight Volume Analysis

Railway freight volume is an important index in railway transportation. This paper combined Autoregressive Moving-average (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 the authors also get the rail freight regression equation. The authors results can provide the support for the traffic department to develop the transport plan.