Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments

no code implementations • 14 May 2024 • Ke Liu, Fan Hu, Hui Lin, Xi Cheng, Jianan Chen, Jilin Song, Siyuan Feng, Gaofeng Su, Chen Zhu

This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand discrepancies at airports.

Decision Making Management +2

Airport Delay Prediction with Temporal Fusion Transformers

no code implementations • 14 May 2024 • Ke Liu, Kaijing Ding, Xi Cheng, Jianan Chen, Siyuan Feng, Hui Lin, Jilin Song, Chen Zhu

Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been attempted by various previous research.

Decision Making