This paper presents a framework aimed at monitoring the behavior of aircraft in a given
airspace. Trajectories that constitute typical operations are determined and learned using …

Abstract The Air Traffic Management system is under a paradigm shift led by NextGen and
SESAR. The new trajectory-based Concept of Operations is supported by performance …

Trajectory big data have significant applications in many areas, such as traffic management,
urban planning and military reconnaissance. Traditional visualization methods, which are …

Clustering of trajectories of moving objects by similarity is an important technique in
movement analysis. Existing distance functions assess the similarity between trajectories …

To maximize the capacity of airports by optimally allocating available resources such as
runways, the arrival times of individual aircraft need to be computed. However, accurately …

En-route congestion causes delays in air traffic networks and will become more prominent
as air traffic demand will continue to increase yet airspace volume cannot grow. However …

This study proposed a new method to describe air traffic situations based on the theory of
complex networks and elaborate its evolutionary laws, expecting to reveal the basic …

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 Management systems generate a huge amount of track data daily. Flight
trajectories can be clustered to extract main air traffic flows by means of unsupervised …

In order to address the flight delays and risks associated with the forecasted increase in air
traffic, there is a need to increase the capacity of air traffic management systems. This should …