Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

Novel electric aircraft designs coupled with intense efforts from academia, government and
industry led to a paradigm shift in urban transportation by introducing UAM. While UAM …

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 …

Safety ranks the first in Air Traffic Management (ATM). Accurate trajectory prediction can
help ATM to forecast potential dangers and effectively provide instructions for safely …

Safety is key to civil aviation. To further improve its already respectable safety records, the
airline industry is transitioning towards a proactive approach which anticipates and mitigates …

In this paper, we tackle the issue of clustering trajectories of geolocalized observations
based on the distance between trajectories. We first provide a comprehensive review of the …

The airline industry is moving toward proactive risk management, which aims to identify and
mitigate risks before accidents occur. However, existing methods for such efforts are limited …

Automatic identification system (AIS) trajectory data are collected from multiple sensors that
record dynamic and static ship information. AIS sequences (and records) are affected by …

The increasing aviation activities pose a challenge to ensure a safe and orderly flight.
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …

Abstract 4D trajectory prediction is the core element of future air transportation system, which
is intended to improve the operational ability and the predictability of air traffic. In this paper …