Commercial aircraft operating today are faced with an air traffic management (ATM) system
operating with methods that have been developed for a paper-and voice-based system …

Flight departure delay prediction is one of the most critical components of intelligent aviation
systems. The accurate prediction of flight departure delays can provide passengers with …

There is an increasing interest in applying methods based on Machine Learning Techniques
(MLT) to problems in aviation operations. The current interest is based on developments in …

Compared with departures, predicting the weather impact on arrival delays is more
challenging because of possible non-linear, cascading effects, and higher uncertainty …

The field of aviation research is entering the era of big data. While data-driven
advancements in aviation have clearly brought about applicable models and results with …

Air traffic managers face challenging decisions due to uncertainity in weather and air traffic.
One way to support their decisions is to identify similar historical days, the traffic …

Effective ground delay programs (GDP) are needed to intervene when there are bad
weather or airport capacity issues. This paper proposes a new methodology for predicting …

Accurate prediction of aircraft taxi time is crucial to optimizing route scheduling and
improving airport efficiency. However, studies usually give only a single deterministic taxi …

The rollout of 5G wireless service has been much anticipated by consumers across the US
since it will bring faster data download speeds and expanded service; however, the impact …

The ground delay program (GDP) is a commonly used tool in air traffic management.
Develo** a departure flight delay prediction model based on GDP can aid airlines and …