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eess.SY2026
Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach
Amy Hodgkin, Nick Pepper, Marc Thomas
Accurate aircraft trajectory prediction (TP) in air traffic management systems is confounded by a number of epistemic uncertainties, dominated by uncertain meteorological condition…
eess.SY2025
Probabilistic Simulation of Aircraft Descent via a Physics-Informed Machine Learning Approach
Amy Hodgkin, Nick Pepper, Marc Thomas
This paper presents a method for generating probabilistic descent trajectories in simulations of real-world airspace. A dataset of 116,066 trajectories harvested from Mode S radar…