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....

詳細記述

書誌詳細

主要な著者:	Jiuxia Guo, Jingyuan Li, Jiang Yuan, Yungui Yang, Zihao Ren
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-11-01
シリーズ:	Mathematics
主題:	flight delay prediction extreme delays flight chain propagation Temporal Fusion Transformer data sparsity aviation operations
オンライン･アクセス:	https://www.mdpi.com/2227-7390/13/21/3551
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