Forecasting Technology of National-Wide Civil Aviation Traffic

Abstract The long-term forecasting of national-wide civil aviation traffic provides basis for the airspace project planning. A gray combination forecasting model is put forward based on the GM (1, 1) forecast model and least squares principle. With the historical data analysis of the national-wide air traffic from the year 1985 to 2008, the forecasting applicability is examined with three different methods, such as the time series forecasting, regression forecasting and neural-network forecasting. After analyzing the characteristics of Chinese national-wide civil aviation traffic data and contrasting forecasting result, the gray combined forecasting model produces the best effect among these forecasting models.

[1]  Huang Yalou.  Predicting the Airport Passenger Throughput Based on a Support Vector Regression Model , 2005 .

[2]  Vassilios A. Profillidis,et al.  Econometric and fuzzy models for the forecast of demand in the airport of Rhodes , 2000 .

[3]  Peng Cheng,et al.  Data mining for air traffic flow forecasting: a hybrid model of neural network and statistical analysis , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[4]  Guo Shuang.  Study on Forecasting Model of Air Traffic Flow Considering Stochastic Factors , 2008 .

[5]  Xu Bing.  Air traffic flow forecasts based on artificial neural networks combined with regression methods , 2005 .

[6]  Chen Li.  Analysis and Forecasting of Civil Aviation Transportation Market , 2003 .

[7]  Xia Guo-ping,et al.  Method of Flying Dynamic Real-Time Forecast Based on BP Neural Network , 2001 .

[8]  Tatiana O. Blinova,et al.  Analysis of possibility of using neural network to forecast passenger traffic flows in Russia , 2007 .

[9]  Yuan Zhuzhi.  FLIGHT DEMAND FORECASTING MODEL BASED ON C-MEAN CLUSTERING ALGORITHM , 2003 .

[10]  Howard Grubb,et al.  Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend , 2001 .

[11]  Roberto Devoto,et al.  Analysis And Forecast Of Air Transport Demand In Sardinia's Airports As A Function Of Tourism Variables , 2002 .

[12]  Wang Hong-yong.  A Model for Short-term Prediction of Air Traffic Flow with Holt-Winters Model , 2007 .