A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis
Predicting and analysing flight delays is essential for successful air traffic management and
control. We propose a novel parallel-series model and novel adaptive bidirectional extreme …
control. We propose a novel parallel-series model and novel adaptive bidirectional extreme …
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 …
Flight delay prediction based on gradient boosting ensemble techniques
R Khan, S Akbar, TA Zahed - 2022 16th International …, 2022 - ieeexplore.ieee.org
In recent years, the volume of airline transportation has increased with the rapid
development of aviation. With an increased demand for flights, aviation is confronted with …
development of aviation. With an increased demand for flights, aviation is confronted with …
Transport causality knowledge-guided GCN for propagated delay prediction in airport delay propagation networks
M Sun, Y Tian, X Wang, X Huang, Q Li, Z Li… - Expert Systems with …, 2024 - Elsevier
Flight delays pose a worldwide challenge that significantly affect the safety and efficiency of
air transportation systems. However, propagated delay prediction, as well as its causality …
air transportation systems. However, propagated delay prediction, as well as its causality …
[HTML][HTML] Integrating multiple data sources for improved flight delay prediction using explainable machine learning
Flight delays negatively impact costs, customer satisfaction, and revenue in the aviation
industry. As a result, it is critical to identify the factors that cause flight delays for each airport …
industry. As a result, it is critical to identify the factors that cause flight delays for each airport …
[HTML][HTML] Prediction of flight delay using deep operator network with gradient-mayfly optimisation algorithm
DB Bisandu, I Moulitsas - Expert Systems With Applications, 2024 - Elsevier
Accurate flight delay prediction is fundamental to establishing an efficient airline business. It
is considered one of the most critical intelligent aviation systems components. Recently …
is considered one of the most critical intelligent aviation systems components. Recently …
Cockpit crew safety performance prediction based on the integrated machine learning multi-class classification models and Markov chain
N Borjalilu, F Jolai, M Tavakoli - Aviation, 2023 - journals.vilniustech.lt
The main tool of cockpit crew performance evaluation is the recorded flight data used for
flight operations safety improvement since all certified airlines require implementation of a …
flight operations safety improvement since all certified airlines require implementation of a …
Modeling Delay Propagation in Airport Networks via Causal Biased Random Walk
Due to the significance of air traffic delay propagation in the operational robustness of air
transport systems, it has recently received increased attention from both industry and …
transport systems, it has recently received increased attention from both industry and …
Departure flight delay prediction due to ground delay program using Multilayer Perceptron with improved sparrow search algorithm
X Dong, X Zhu, J Zhang - The Aeronautical Journal, 2024 - cambridge.org
The ground delay program (GDP) is a commonly used tool in air traffic management.
Developing a departure flight delay prediction model based on GDP can aid airlines and …
Developing a departure flight delay prediction model based on GDP can aid airlines and …
Comparing Ensemble Learning Algorithms to Improve Flight Prediction Accuracy and Reliability
M Jawahar, JJG Raj - International Conference on Computer & …, 2023 - Springer
Flight delays are unavoidable, and they substantially affect the carriers' profits and losses.
Flight delays have a big impact on airline operations and airport on-time performance, both …
Flight delays have a big impact on airline operations and airport on-time performance, both …