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 …

Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining
the representative route structure of the arrival and departure trajectory and extracting their …

Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …

Trajectories that capture object movement have numerous applications, in which similarity
computation between trajectories often plays a key role. Traditionally, the similarity between …

To support efforts to modernize aviation systems to be safer and more efficient, high-
precision trajectory prediction and robust anomaly detection methods are required. The …

We introduce automatic clustering as a computationally efficient tool for classifying and
interpreting trajectories from simulations of photo-excited dynamics. Trajectories are treated …

In various application domains like transportation, urban planning, and public health,
analyzing human mobility, represented as a sequence of consecutive visits (aka …

Flight track clustering is the premise and foundation of air traffic control, and the effective
latent representation of track data is key to the flight trajectory clustering. Long short-term …

As air traffic demand grows, robust, data-driven methods are required to ensure that aviation
systems become safer and more efficient. The terminal airspace is identified as the most …