A multi-aircraft co-operative trajectory planning model under dynamic thunderstorm cells using decentralized deep reinforcement learning

• Main Authors: Pang, Bizhao, Hu, Xinting, Zhang, Mingcheng, Alam, Sameer, Lulli, Guglielmo
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Air traffic management; Autonomous trajectory planning; Deep reinforcement learning; Dynamic thunderstorm cells; Climate change
• Online Access: https://hdl.handle.net/10356/182740
• Institution: Nanyang Technological University

Climate change induces an increased frequency of adverse weather, particularly thunderstorms, posing significant safety and efficiency challenges in en route airspace, especially in oceanic regions with limited air traffic control services. These conditions require multi-aircraft cooperative traject...