Abstract: This article studied and analyzed the pre-sale law for the period of 60-days. There is a certain relationship between the number of seats in the train and the number of days in advance. Different travel dates, focusing on sale day different. In the non holiday peak period, the pre-sale volume is large on the first day of the train and on the day of the train. This article, used the moving average method to study this kind of rule, predicted the daily pre-sale situation, focused on the forecast results of pre-sale volume on the first day of the train and on the day of the train. The forecast results were in good agreement with the actual passenger flow.