Temporal residual learning for real-time air traffic complexity forecasting

US-Europe Air Transportation Research & Development Symposium 2026

Delft, Netherland

Jun 17, 2026

Presenter: Go Nam Lui

Co-author(s): Guglielmo Lulli, Maria Florencia Lema Esposto

Abstract

This presentation introduces a temporal-residual learning approach for the airspace sector complexity estimation/prediction.