Predicting Flight Delays Using Machine Learning Techniques and Aviation Big Data

Flight delays are a significant challenge in the aviation industry, causing inconvenience to passengers and leading to financial losses for airlines and airports. To address this challenge, machine learning algorithms have been applied to analyze big data from aviation sources and predict potential flight delays. Using historical flight data, weather data, and other relevant information, machine learning algorithms can accurately predict flight delays and help airlines and airports manage their resources more efficiently. This paper provides an overview of flight delay prediction based on aviation big data and machine learning, highlighting its benefits, techniques, and applications.