Bayesian networks analysis for sequence flight delay and propagation
连续航班延误与波及的贝叶斯网络分析

Concerning the increasingly serious flight delay of air transport system, this paper attempted to apply the Bayesian Method in the analysis of flight data. It paid much attention to the situation of the same plane in sequential flight. The Bayesian networks for this purpose were constructed using the Netica software package. The analysis of sequence flight delay and propagation was made by the Bayesian Network inference and tested by the real flight data. The result shows that the model based on probability statistics could reflect the delay reason distribution, the difference of turn around time distribution and delay propagation in different periods of sequential flights clearly.