4 papers · 1 filter
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
Olav Finne Praesteng Larsen, Massimiliano Ruocco, Michail Spitieris +2
Access to trajectory data is a key requirement for developing and validating Air Traffic Management (ATM) solutions, yet many secondary and regional airports face severe data scarc…
Pre-Tactical Flight-Delay and Turnaround Forecasting with Synthetic Aviation Data
Abdulmajid Murad, Massimiliano Ruocco
Access to comprehensive flight operations data remains severely restricted in aviation due to commercial sensitivity and competitive considerations, hindering the development of pr…
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
Michail Spitieris, Massimiliano Ruocco, Abdulmajid Murad +1
Recent advances in generative AI offer promising solutions for synthetic data generation but often rely on large datasets for effective training. To address this limitation, we pro…
Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
Abdulmajid Murad, Massimiliano Ruocco
In modern air traffic management, generating synthetic flight trajectories has emerged as a promising solution for addressing data scarcity, protecting sensitive information, and s…