Hybrid machine learning and estimation-based flight trajectory prediction in terminal airspace
For air traffic management, trajectory prediction plays an important role as the predicted
trajectory information is used in crucial tasks for the safety and efficiency of air traffic …
trajectory information is used in crucial tasks for the safety and efficiency of air traffic …
Trajectory pattern identification and classification for real-time air traffic applications in Area Navigation terminal airspace
In order to address the continuing growth of demands on airspace capacity, various
navigation methods have been developed such as Area Navigation (RNAV), which allows …
navigation methods have been developed such as Area Navigation (RNAV), which allows …
[HTML][HTML] Advanced collision risk estimation in terminal manoeuvring areas using a disentangled variational autoencoder for uncertainty quantification
Abstract Air Traffic Management aims at ensuring safety during aircraft operations,
particularly within Terminal Manoeuvring Areas where traffic density is high. The challenge …
particularly within Terminal Manoeuvring Areas where traffic density is high. The challenge …
Synthetic aircraft trajectories generated with multivariate density models
Aircraft trajectory generation is a high stakes problem with a wide scope of applications,
including collision risk estimation, capacity management and airspace design. Most …
including collision risk estimation, capacity management and airspace design. Most …
Probabilistic prediction of separation buffer to compensate for the closing effect on final approach
The air traffic is mainly divided into en-route flight segments, arrival and departure segments
inside the terminal maneuvering area, and ground operations at the airport. To support …
inside the terminal maneuvering area, and ground operations at the airport. To support …
Trajectory pattern identification for arrivals in vectored airspace
Grouping similar flight trajectories into a cluster, or a pattern, is an important data
preprocessing step for data-driven methods in air traffic control as it affects the performance …
preprocessing step for data-driven methods in air traffic control as it affects the performance …
A data-driven modeling analysis for identifying potential inefficiencies in aircraft landing ordering
View Video Presentation: https://doi. org/10.2514/6.2022-3709. vid In this paper, the authors
seek to identify potential inefficiencies at airports controlled by local tower controllers when …
seek to identify potential inefficiencies at airports controlled by local tower controllers when …
[HTML][HTML] Deep generative modelling of aircraft trajectories in terminal maneuvering areas
Airspace design is subject to a multitude of constraints, which are mainly driven by the
concern to keep the risk of mid-air collision below a target level of safety. For that purpose …
concern to keep the risk of mid-air collision below a target level of safety. For that purpose …
Improved Data-Driven Trajectory Optimization Method Utilizing Deep Trajectory Generation
X Gui, J Zhang, X Tang, J Bao - Journal of Aerospace Information …, 2024 - arc.aiaa.org
The imbalance between air traffic capacity and demand, especially in the terminal
maneuvering area, constrains the development of the civil aviation industry. To enhance the …
maneuvering area, constrains the development of the civil aviation industry. To enhance the …
Learning Generative Models for Climbing Aircraft from Radar Data
N Pepper, M Thomas - Journal of Aerospace Information Systems, 2024 - arc.aiaa.org
Accurate trajectory prediction for climbing aircraft is hampered by the presence of epistemic
uncertainties concerning aircraft operation, which can lead to significant misspecification …
uncertainties concerning aircraft operation, which can lead to significant misspecification …