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 …
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 …
and informative air traffic management and improving the operational capabilities and …
Machine learning-enhanced aircraft landing scheduling under uncertainties
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 …
hours during extreme scenarios. Developing an efficient landing scheduling method is one …
Aircraft trajectory prediction for terminal airspace employing social spatiotemporal graph convolutional network
Four-dimensional (4-D) trajectory prediction is the core of air traffic management
technologies such as flow management, conflict detection and resolution, arrival and …
technologies such as flow management, conflict detection and resolution, arrival and …
Modelling flight trajectories with multi-modal generative adversarial imitation learning
Abstract Models of aircraft trajectories become important components of systems supporting
the trajectory based operations paradigm: trajectory predictability is considered to be the …
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 …
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 …
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 …
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 …
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 …
uncertainties concerning aircraft operation, which can lead to significant misspecification …