Gray Interval Prediction of Air Traffic Flow of Capital Airport

The Capital Airport is one of the airports where there is the biggest density of flights.Scientific and accurate forecasts of air traffic flow are a basis for all levels of decision-making of the Capital Airport to make development strategies and planning.The zone prediction based on Gray Panel has better reflection in the developmental trend of air traffic flow according to the exact prediction.It also offers a room for decision-making.Because of the characteristics that a lot of influence factors and lack of the data of air traffic flow,in this paper,the gray interval prediction model which is based on the GM(1,N) model was proposed for the first time.According to the forecasting result of GDP of Beijing by the exponential regression model,the future value zone of air traffic flow of the Capital Airport is obtained.According to the simulation result,it explained that the model can show the developmental trend of air traffic flow better.