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

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

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...

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Bibliographic Details
Main Authors: Pang, Bizhao, Hu, Xinting, Zhang, Mingcheng, Alam, Sameer, Lulli, Guglielmo
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal 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

Internet

https://hdl.handle.net/10356/182740

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