Category Archives: Sustainability

Our latest research paper, “A deep multi-agent reinforcement learning framework for climate-aware aircraft trajectory planning considering air traffic complexity,” is now published in Knowledge-Based Systems. In this work, Fateme Baneshi proposes a framework to reconcile climate-optimal flight trajectories with the operational requirements of the ATM system. First, individual aircraft trajectories are optimized to mitigate climateContinue reading “A deep multi-agent reinforcement learning framework for climate-aware aircraft trajectory planning considering air traffic complexity”

Our latest study “Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability,” has been published in the Journal of Expert Systems with Applications. The study introduces a multi-agent deep reinforcement learning framework to plan climate-friendly flight routes while ensuring air traffic manageability. The findings show an 80% reduction in climate impact while maintainingContinue reading “Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability”