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 …

[HTML][HTML] Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction

DB Bisandu, I Moulitsas, S Filippone - Neural Computing and Applications, 2022 - Springer
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …

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 …

[HTML][HTML] Distribution prediction of strategic flight delays via machine learning methods

Z Wang, C Liao, X Hang, L Li, D Delahaye, M Hansen - Sustainability, 2022 - mdpi.com
Predicting flight delays has been a major research topic in the past few decades. Various
machine learning algorithms have been used to predict flight delays in short-range horizons …

A branch-and-price algorithm for the airport gate assignment problem considering the trade-off between robustness and efficiency

Z Liu, Q Xiang - Transportation Research Part C: Emerging …, 2023 - Elsevier
In this paper, a novel objective for the airport gate assignment problem which considers the
trade-off between robustness and operational efficiency in a unified dimension is developed …

A hybrid ensemble learning-based prediction model to minimise delay in air cargo transport using bagging and stacking

R Sahoo, AK Pasayat, B Bhowmick… - … Journal of Production …, 2022 - Taylor & Francis
Manufacturing productivity is inextricably linked to air freight handling for the global delivery
of finished and semi-finished goods. In this article, our focus is to capture the transport risk …

[HTML][HTML] Flight departure time prediction based on deep learning

H Zhou, W Li, Z Jiang, F Cai, Y Xue - Aerospace, 2022 - mdpi.com
Accurate flight departure time prediction enables the rational use of airport support
resources, aprons, and runway resources, and promotes the implementation of collaborative …

Predicting flight arrival times with deep learning: A strategy for minimizing potential conflicts in gate assignment

F Cao, T Tang, Y Gao, O Michler, M Schultz - Transportation Research Part …, 2024 - Elsevier
Air transportation is frequently disrupted by factors such as weather and air traffic control,
making it difficult for flights to strictly adhere to schedules, leading to frequent early arrivals …

Multi-feature-fused generative neural network with Gaussian mixture for multi-step probabilistic wind speed prediction

C Yu, S Fu, ZW Wei, X Zhang, Y Li - Applied Energy, 2024 - Elsevier
Wind speed prediction is a crucial element of effective wind energy utilization, necessitating
the use of probabilistic wind speed prediction to facilitate practical decision-making …

[HTML][HTML] Air Traffic Flow Management Delay Prediction Based on Feature Extraction and an Optimization Algorithm

Z Zhao, J Yuan, L Chen - Aerospace, 2024 - mdpi.com
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused
by the imbalance between capacity and demand in an airspace network. Furthermore, it is …