Combined prediction method based on HHT of passenger volume of single inter-city train

Abstract

The prediction of passenger volume of single inter-city train is one of main basis for railway administrations to make scientific decisions, to make a feasible plan, to reduce the risk to the greatest extent, to reduce the operating cost and to make full use of the facilities. Because of the complicated and nonlinear relationship between factors that affect passenger volume, it is difficult to ensure the stability of the prediction results only by using the single predicting model and taking only some of the factors into consideration. The paper puts forward a combined prediction method based on the transform of HHT, and by using the historical data as the basis of the experiment, it also proves this method can reduce the volatility of the single forecasting model, realize the accurate prediction of passenger volume of single inter-city train, and effectively improve the reliability of the prediction results.