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 …
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
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …
transportation industry. This industry seeks alternative methods and technologies for more …
Improving flight delays prediction by developing attention-based bidirectional LSTM network
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
by the imbalance between capacity and demand in an airspace network. Furthermore, it is …