Flight Delay Prediction System Based on Bayesian Networks

Abstract

In recent years, China's civil aviation industry has been growing, and the ensuing impact has been both beneficial and detrimental, with various causes of flight delays coming one after another, resulting in the creation of a flight delay prediction system. In order to improve the quality of flight convenience and reduce the losses caused by flight delays, the system will make a study of the reasons for the emergence of a series of response plans to form a set of increasingly perfect flight delay early warning system. This paper provides a more in-depth discussion of the problem of civil aviation delays and ways to respond to them, clarifying the current situation of airport flight delays, analyzing the main factors that lead to flight delays, focusing on the airport management of emergency. The paper also examines and analyses the problems of airport management in terms of emergency planning, management agencies and crisis management.