2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2026★ 1 cited
Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework
Ben Carvell, Marc Thomas, Andrew Pace +7
We present a rigorous, human-in-the-loop evaluation framework for assessing the performance of AI agents on the task of Air Traffic Control, grounded in a regulator-certified simul…
cs.AI2026
A framework for assuring the accuracy and fidelity of an AI-enabled Digital Twin of en route UK airspace
Adam Keane, Nick Pepper, Chris Burr +4
Digital Twins combine simulation, operational data and Artificial Intelligence (AI), and have the potential to bring significant benefits across the aviation industry. Project Blue…
cs.CE2026★ 2 cited
A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control
Nick Pepper, Adam Keane, Amy Hodgkin +11
This paper presents the first probabilistic Digital Twin of operational en route airspace, developed for the London Area Control Centre. The Digital Twin is intended to support the…