Aircraft 4D trajectory prediction in civil aviation: A review

W Zeng, X Chu, Z Xu, Y Liu, Z Quan - Aerospace, 2022 - mdpi.com
Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory
prediction is a key technology for existing automation systems and the basis for future …

Data analytics for air travel data: a survey and new perspectives

H Tian, M Presa-Reyes, Y Tao, T Wang… - ACM Computing …, 2021 - dl.acm.org
From the start, the airline industry has remarkably connected countries all over the world
through rapid long-distance transportation, helping people overcome geographic barriers …

A deep learning approach for aircraft trajectory prediction in terminal airspace

W Zeng, Z Quan, Z Zhao, C Xie, X Lu - IEEE Access, 2020 - ieeexplore.ieee.org
Current state-of-the-art trajectory methods do not perform well in the terminal airspace that
surrounds an airport due to its complex airspace structure and the frequently changing flight …

Long-term 4D trajectory prediction using generative adversarial networks

X Wu, H Yang, H Chen, Q Hu, H Hu - Transportation Research Part C …, 2022 - Elsevier
Four-dimensional trajectory prediction is one of the key technologies of air traffic
management (ATM) and plays a considerably significant role in enhancing air traffic safety …

Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges

EC Pinto Neto, DM Baum, JR Almeida Jr… - Aerospace, 2023 - mdpi.com
Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …

A deep gaussian process-based flight trajectory prediction approach and its application on conflict detection

Z Chen, D Guo, Y Lin - Algorithms, 2020 - mdpi.com
In this work, a deep Gaussian process (DGP) based framework is proposed to improve the
accuracy of predicting flight trajectory in air traffic research, which is further applied to …

[HTML][HTML] Bidirectional long short-term memory development for aircraft trajectory prediction applications to the UAS-S4 Ehécatl

SM Hashemi, RM Botez, G Ghazi - Aerospace, 2024 - mdpi.com
The rapid advancement of unmanned aerial systems in various civilian roles necessitates
improved safety measures during their operation. A key aspect of enhancing safety is …

Follow the rules: Online signal temporal logic tree search for guided imitation learning in stochastic domains

JJ Aloor, J Patrikar, P Kapoor, J Oh… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Seamlessly integrating rules in Learning-from-Demonstrations (LfD) policies is a critical
requirement to enable the real-world deployment of AI agents. Recently, Signal Temporal …

Aircraft trajectory prediction in terminal airspace with intentions derived from local history

Y Yin, S Zhang, Y Zhang, Y Zhang, S Xiang - Neurocomputing, 2025 - Elsevier
Aircraft trajectory prediction aims to estimate the future movements of aircraft in a scene,
which is a crucial step for intelligent air traffic management such as capacity estimation and …

Neural network-based aircraft conflict prediction in final approach maneuvers

R Casado, A Bermúdez - Electronics, 2020 - mdpi.com
Conflict detection and resolution is one of the main topics in air traffic management.
Traditional approaches to this problem use all the available information to predict future …