most citedAir Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity

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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…