Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Despite the claim that artificial intelligence (AI) has the potential to increase efficiency in and
for airlines, current literature is limited concerning models and frameworks to assess AI …

The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …

Predicting flight delays has been a major research topic in the past few decades. Various
machine learning algorithms have been used to predict flight delays in short-range horizons …

Improper fuel loading decision results in carrying excessive dead weight during flight
operation, which will burden the airline operation cost and cause extra waste emission …

Prior research on slot allocation has focused on a single airport, with little attention paid to
the multiple-airport systems (MAS) that consist of at least two major airports. Scheduled …

This work presents a mathematical model to predict and explain Near Mid-Air Collisions
(NMACs) based on the NASA Aviation Safety Reporting System (ASRS) database. The …

The use of artificial intelligence, along with its various components, is rapidly increasing in
various fields of study today, going beyond the traditional domains of computer science and …

Accurate flight departure time prediction enables the rational use of airport support
resources, aprons, and runway resources, and promotes the implementation of collaborative …

Accurate prediction of ship emissions aids to ensure maritime sustainability but encounters
challenges, such as the absence of high-precision and high-resolution databases, complex …