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…