Integrated prediction method of nonlinear-seasonal passenger traffic income of airlines

Passenger traffic income of airlines has a dual trend of growth and seasonal fluctuation, which makes the income demonstrate a complicated nonlinear characteristic. A prediction model, based on the theory of grey prediction model GM (1, 1), was introduced to reflect the characteristic of its growth trend, a seasonal change prediction model was employed to reflect the characteristic of its seasonal fluctuation, an integrated nonlinear-seasonal prediction model of passenger traffic income of airlines was proposed. Prediction results show that the error rate of actual value and test value is less than 1%, the model is feasible.