The use of artificial intelligence (AI) has increased since the middle of the 20th century, as
evidenced by its applications to a wide range of engineering and science problems. Air …

With the burgeoning expansion of air transportation, the imbalance between airspace
capacity and demand is significantly prominent around the world. Air traffic flow …

This paper deals with a basic issue: How does one approach the problem of designing the
“right” objective for a given resource allocation problem? The notion of what is right can be …

Airlines are rapidly developing online-to-offline and business-to-consumer operation
models. They continually invest in information technology (IT) to secure their competitive …

Congestion is a problem at airports where capacity does not meet demand. At many such
airports, airlines must request time slots for the purpose of landing or take off. Given the …

As the demand for Unmanned Aircraft Systems (UAS) operations increases, UAS Traffic
Flow Management (UTFM) initiatives are needed to mitigate congestion, and to ensure …

This paper proposes a collaborative air traffic flow management (ATFM) framework, in the
scope of trajectory based operations, aiming to improve the cost-efficiency for airspace users …

We model the impact of weather and arrival demand on ground delay program (GDP)
incidence. We use Support Vector Machine (SVM) to analyze how regional convective …

This paper proposes an innovative operational framework for strategic online en-route
operations, in the trajectory-based operations context. This framework captures the …

This paper presents an integer programming model for strategic redistribution of flights so as
to respect nominal sector capacities, in short computation times for large-scale instances …