Aircraft trajectory prediction and aviation safety in ADS-B failure conditions based on neural network

Z Yang, X Kang, Y Gong, J Wang - Scientific reports, 2023 - nature.com
With the rapid expansion of transportation demand, the number of global flights has rapidly
increased, which also poses challenges to air traffic management (ATM). Considering that …

Aircraft trajectory prediction based on bayesian optimised temporal convolutional network–bidirectional gated recurrent unit hybrid neural network

J Huang, W Ding - International Journal of Aerospace …, 2022 - Wiley Online Library
Efficient and accurate flight trajectory prediction is a key technology for promoting intelligent
and informative air traffic management and improving the operational capabilities and …

Machine learning-enhanced aircraft landing scheduling under uncertainties

Y Pang, P Zhao, J Hu, Y Liu - Transportation Research Part C: Emerging …, 2024 - Elsevier
Aircraft delays lead to safety concerns and financial losses, which can propagate for several
hours during extreme scenarios. Developing an efficient landing scheduling method is one …

Aircraft trajectory prediction for terminal airspace employing social spatiotemporal graph convolutional network

Z Xu, Y Liu, X Chu, X Tan, W Zeng - Journal of Aerospace Information …, 2023 - arc.aiaa.org
Four-dimensional (4-D) trajectory prediction is the core of air traffic management
technologies such as flow management, conflict detection and resolution, arrival and …

Modelling flight trajectories with multi-modal generative adversarial imitation learning

C Spatharis, K Blekas, GA Vouros - Applied Intelligence, 2024 - Springer
Abstract Models of aircraft trajectories become important components of systems supporting
the trajectory based operations paradigm: trajectory predictability is considered to be the …

Knowledge-Driven Accurate Opponent Trajectory Prediction for Gun-Dominated Autonomous Air Combat

Y Dong, J Ma, C Wang, J Ai - Journal of Aerospace Information Systems, 2023 - arc.aiaa.org
The autonomous air combat (AAC) technique has been a lasting topic for decades. Accurate
opponent trajectory prediction provides a fundamental basis for decision making in AAC. In …

FST-GNN: Feedback Space-Time Graph Neural Network Model for Networked Multi-Agent Formation Prediction with Noise Interference

T Sun, LH Fan, XM Yu, S Ma - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
Formation prediction and estimation is one of the most challenging and interesting issues in
the field of networked multi-agent systems. In this paper, we propose a data-driven formation …

Transferable aircraft trajectory prediction with generative deep imitation learning

T Kravaris, GA Vouros - International Journal of Data Science and …, 2024 - Springer
Trajectory-oriented transformations to air traffic management operations require high fidelity
aircraft trajectory prediction capabilities. Data-driven trajectory prediction approaches …

Civil Aeronautical Ad Hoc Network Zero-Overhead Clustering Algorithm Based on Realtime Position Information of the Aircraft

C Luo, L Li, D Li, P Liu, MS Khan - Electronics, 2024 - mdpi.com
Clustering is an important means to solve the poor scalability of aeronautical ad hoc
networks (AANET). To improve the stability and performance of AANET and avoid …

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 …