7 citations · 14 across the 14 of their papers we have counts for
4 papers · 1 filter
AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models
Dewi Sid William Gould, George De Ath, Ben Carvell +1
The manual design of scenarios for Air Traffic Control (ATC) training is a demanding and time-consuming bottleneck that limits the diversity of simulations available to controllers…
Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity
Edward Henderson, Dewi Gould, Richard Everson +2
Real-time assessment of near-term Air Traffic Controller (ATCO) task demand is a critical challenge in an increasingly crowded airspace, as existing complexity metrics often fail t…
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…
Geometric Principles for Machine Learning of Dynamical Systems
Zack Xuereb Conti, David J Wagg, Nick Pepper
Mathematical descriptions of dynamical systems are deeply rooted in topological spaces defined by non-Euclidean geometry. This paper proposes leveraging structure-rich geometric sp…