A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

WA Khan, SH Chung, AEE Eltoukhy… - Journal of Air Transport …, 2024 - Elsevier
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 …

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 …

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 …

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 …

[HTML][HTML] Integrating multiple data sources for improved flight delay prediction using explainable machine learning

J Pineda-Jaramillo, C Munoz, R Mesa-Arango… - Research in …, 2024 - Elsevier
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 …

[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 …

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 …

Modeling Delay Propagation in Airport Networks via Causal Biased Random Walk

Y Li, K Cai, Y Zhu, Y Yang - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …