Forecast of Railway Passenger Transport Turnover Based on GM(1,1) Model

摘要

Railway passenger traffic turnover is an important manifestation of railway transportation capacity and the main basis for determining the scale of railway transportation infrastructure construction. Whether the forecast results of railway passenger traffic are reasonable will have a direct impact on the transportation production and efficiency of the railway. In recent years, the data of railway passenger transportation turnover is collected and used, and the grey prediction method is used to establish a GM (1,1) prediction model to predict the future passenger turnover. The method is characterized by systemicity, connectivity and dynamics. The accuracy test shows that the accuracy level of the model is 'good'.