The simplest decision-making rules obtained by the model avoid the errors caused by fluctuations in statistical data during the years,so the final forecast results are growth intervals rather than absolute values,which better reflects the needs of highway passenger transport.

According to the conclusion that the smoothness level of a data row can be increased through the transform of the counter-hyperbolic sine function,two methods of autoregression forecasting based on the increasing time series are given.