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A Data-Driven Framework for Flight Delay Propagation Forecasting During Extreme Weather

Flight delays during extreme weather events exhibit spatio-temporal propagation and cascading effects, posing serious challenges to the resilience of aviation systems. Existing prediction approaches often neglect dynamic dependencies across flight chains and struggle to model sparse extreme events....

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jiuxia Guo, Jingyuan Li, Jiang Yuan, Yungui Yang, Zihao Ren
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-11-01
Schriftenreihe:Mathematics
Schlagworte:
flight delay prediction
extreme delays
flight chain propagation
Temporal Fusion Transformer
data sparsity
aviation operations
Online-Zugang:https://www.mdpi.com/2227-7390/13/21/3551
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