Outcomes

Our published work explores the complex interplay between trajectory optimization, noise psychoacoustics, and multi-scale emission modeling, leveraging advanced technologies such as deep reinforcement learning and high-fidelity simulations. These findings are designed to empower regulators, airlines, and drone operators with the technical knowledge necessary to implement evidence-based green policies and sustainable business models. By sharing our scientific milestones, REFMAP contributes to the collective intelligence of the European aviation sector, driving the transition toward a climate-neutral and socially acceptable Digital European Sky in line with the EU’s Green Agenda.