Probabilistic Multi-Agent Aircraft Landing Time Prediction

arXiv:2512.08281 · cs.MA, cs.LG · Submitted 2025-12-09 · Read on arXiv

cs.MA, cs.LG

Submitted: 2025-12-09

Updated: 2026-09-01

Code: https://github.com/atmcl/multiagent-landing-time-prediction

Terminology

• Accuracy — 12× in this paper · explained in 1 episode
• Transformer — 11× in this paper · explained in 2 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Agent Interactions — 5× in this paper · explained in 1 episode
• Regularization — 3× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Digital Avionics Systems Conference — 2× in this paper
• Explainability — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• International Civil Aviation Organization — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Efficient Real-Time Aircraft ETA Prediction via Feature Tokenization Transformer
• Multi-Agent Inverted Transformer for Flight Trajectory Prediction
• Gaussian Error Linear Units (GELUs)
• Decoupled Weight Decay Regularization
• PyTorch: An Imperative Style, High-Performance Deep Learning Library
• Learning to Explain Air Traffic Situation

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