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 …

A machine learning approach to air traffic interdependency modelling and its application to trajectory prediction

CEV Gallego, VFG Comendador, MAA Carmona… - … Research Part C …, 2019 - Elsevier
Abstract Air Traffic Management is evolving towards a Trajectory-Based Operations
paradigm. Trajectory prediction will hold a key role supporting its deployment, but it is limited …

System identification and LQR controller design with incomplete state observation for aircraft trajectory tracking

P Lichota, F Dul, A Karbowski - Energies, 2020 - mdpi.com
This paper presents a controller design process for an aircraft tracking problem when not all
states are available. In the study, a nonlinear-transport aircraft simulation model was used …

Interacting multiple model filtering for aircraft guidance modes identification from surveillance data

H Khaledian, R Sáez, J Vilà-Valls, X Prats - Journal of Guidance …, 2023 - arc.aiaa.org
Accurate and reliable trajectory prediction (TP) is required in several air traffic management
systems. Estimating the aircraft trajectory in a vertical plane typically requires the knowledge …

Conflict Risk Assessment between Non-Cooperative Drones and Manned Aircraft in Airport Terminal Areas

R Zhu, Z Yang, J Chen - Applied Sciences, 2022 - mdpi.com
Recent years have seen an increase in events of drone incursion into airport terminal areas,
leading to safety concerns and disruptions to airline operations. It is of great importance to …

GooDFlight: Goal-Oriented Diffusion Model for Flight Trajectory Prediction

S Yang, L Liu, B Chen, S Cheng… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Flight trajectory prediction is an essential task in the air traffic control field. Previous
approaches to this problem usually follow a single-stage or short-term intention-guided …

Efficient Online Trajectory Planning for Fast Flight in Dynamic and Cluttered Environment

X Huang, C Luo, X Zhang, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper proposes an efficient online trajectory planning system for unmanned aerial
vehicles (UAVs) to navigate dynamic and cluttered environments. The system encompasses …

SVM-BTS Based Trajectory Identification and Prediction Method for Civil Rotorcraft UAVs

Q Jiao, L Bao, H Bai, H Niu, C Han - IEEE Access, 2023 - ieeexplore.ieee.org
To address the issue of low predictive accuracy in complex trajectory forecasting for civilian
rotorcraft unmanned aerial vehicles (UAVs), this paper presents a method that utilizes the …

Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance

D Ayala, R Ayala, LS Vidal, I Hernández, D Ruiz - IEEE Access, 2023 - ieeexplore.ieee.org
The increase in air traffic in the recent years has motivated the development of technologies
to monitor air space and warn about possible collisions by predicting the trajectories that will …

On the impact of guidance commands mismatch in IMM-Based guidance modes identification for aircraft trajectory prediction

H Khaledian, R Sáez García… - 2022 IEEE/AIAA …, 2022 - upcommons.upc.edu
This study presents a sensitivity analysis to model mismatch of an interacting multiple model
(IMM) filter when used for aircraft guidance modes identification. The mismatch appears in …