Real-Time Go-Around Prediction: A case study of JFK airport

no code implementations • 18 May 2024 • Ke Liu, Kaijing Ding, Lu Dai, Mark Hansen, Kennis Chan, John Schade

In this paper, we employ the long-short-term memory model (LSTM) to predict the real-time go-around probability as an arrival flight is approaching JFK airport and within 10 nm of the landing runway threshold.

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