This paper is organized as follows. Section 2 reviews the regression
forecast methods, including multiple linear regression (MLR), nonlinear
regression (NLR), simple linear regression (SLR). In Section 3, the
data sets are introduced and analyzed. Freight transportation forecast
models are established based on the regression forecast methods, the
models are validated and then a comparison among these models is
provided. Finally, the conclusions are presented in the last section