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DiTSG: Context-Aware Air Traffic Scene Generation with Multi-Agent Diffusion Transformers

Yoon, Seokbin et al.
arXiv (All) · Papers
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machine-learningmultiagent-systemsrobotics
Understanding how many aircraft, and which traffic configurations, can be safely and efficiently managed by air traffic controllers within a given airspace is fundamental to air traffic management. Air traffic controllers continuously modify aircraft trajectories through interventions such as speed
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