A CNN-LSTM framework for flight delay prediction

Q Li, X Guan, J Liu - Expert Systems with Applications, 2023 - Elsevier
Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …

Day-ahead aircraft routing with data-driven primary delay predictions

S Birolini, A Jacquillat - European Journal of Operational Research, 2023 - Elsevier
Flight delays are major sources of disruptions in airline operations. To mitigate them, day-
ahead aircraft routing aims to create flight sequences that can absorb delays and minimize …

Improving flight delays prediction by developing attention-based bidirectional LSTM network

M Mamdouh, M Ezzat, H Hefny - Expert Systems with Applications, 2024 - Elsevier
Recently, the significance of accurate aircraft delay forecasting has grown in the aviation
sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger …

Flight Delay Prediction: A Dissecting Review of Recent Studies Using Machine Learning

S Wandelt, X Chen, X Sun - IEEE Transactions on Intelligent …, 2025 - ieeexplore.ieee.org
Flight delay is a fundamental problem present in the global aviation system. Delay-inducing
disruptions are caused by various reasons, including increased global connectivity …

A graph multi-attention network for predicting airport delays

H Zheng, Z Wang, C Zheng, Y Wang, X Fan… - … Research Part E …, 2024 - Elsevier
Predicting airport delays is of great importance for aviation operations, from the development
of effective air traffic management strategies to the reallocation of airline resources. In this …

Flight delay prediction with priority information of weather and non-weather features

Q Li, R Jing, ZS Dong - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Flight delay prediction is a major topic in intelligent airport management systems, which
emphasizes the use of historical data and potential features to estimate whether a future …

FCM-GCN-based upstream and downstream dependence model for air traffic flow networks

Y Zhang, Z Lu, J Wang, L Chen - Knowledge-Based Systems, 2023 - Elsevier
The upstream and downstream dependence of air traffic flow networks (ATFN) is a key step
in identifying the changing characteristics and interaction patterns of air traffic flow. This …

Networks for Flight Delay Analysis: A Scoping Review and Research Agenda

S Wandelt, X Chen, X Sun - IEEE Transactions on Network …, 2025 - ieeexplore.ieee.org
Flight delay is one of the most severe problems faced by the aviation industry, and its
excessive impact on air transport operations and society has attracted wide attention by …

A hybrid machine learning-based model for predicting flight delay through aviation big data

M Dai - Scientific Reports, 2024 - nature.com
The prediction of flight delays is one of the important and challenging issues in the field of
scheduling and planning flights by airports and airlines. Therefore, in recent years, we have …

Stochastic delay cost functions to estimate delay propagation under uncertainty

J Evler, M Schultz, H Fricke, A Cook - IEEE Access, 2022 - ieeexplore.ieee.org
We provide a mathematical formulation of flight-specific delay cost functions that enables a
detailed tactical consideration of how a given flight delay will interact with all downstream …