A Bayesian Network-Based Method for Air Traffic Flow Forecasting

In order to improve the accuracy and real-time performance of air traffic flow forecasting, this paper studies the method of applying Bayesian network to air traffic flow forecasting and establishes a inference forecasting model based on Bayesian network. This method can effectively forecast the number of aircraft in each subdomain in the next time period, and can be applied to support the decision-making of air traffic flow control and flight route planning. The method is tested effective through experimental results..