A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Statistical analysis and flight route extraction from automatic dependent surveillance-broadcast data

I Ostroumov, N Kuzmenko - 2022 Integrated Communication …, 2022 - ieeexplore.ieee.org
Modern air traffic management considers wide integration of Automatic Dependent
Surveillance-Broadcast (ADS-B) technology in existing air navigation system. Each airspace …

A deep learning approach for flight delay prediction through time-evolving graphs

K Cai, Y Li, YP Fang, Y Zhu - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Flight delay prediction has recently gained growing popularity due to the significant role it
plays in efficient airline and airport operation. Most of the previous prediction works consider …

Research on delay propagation mechanism of air traffic control system based on causal inference

L Zeng, B Wang, T Wang, Z Wang - Transportation Research Part C …, 2022 - Elsevier
In the air traffic control (ATC) system, delays are tightly coupled among airports.
Understanding the interactions of these delays is a prerequisite for accurate prediction …

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 …

A methodology for predicting aggregate flight departure delays in airports based on supervised learning

B Ye, B Liu, Y Tian, L Wan - Sustainability, 2020 - mdpi.com
This paper proposes a new methodology for predicting aggregate flight departure delays in
airports by exploring supervised learning methods. Individual flight data and meteorological …

A data-driven method to assess the causes and impact of delay propagation in air transportation systems

V Giannikas, A Ledwoch, G Stojković, P Costas… - … Research Part C …, 2022 - Elsevier
Air transportation systems are exposed to disruptions, which have significant impact on
operations. Airlines operate tight schedules to maximise resource utilisation, however, the …

Implementation of a long-range air traffic flow management for the asia-pacific region

M Schultz, D Lubig, E Asadi, J Rosenow, E Itoh… - IEEE …, 2021 - ieeexplore.ieee.org
We provide a concept of operations and a corresponding implementation of a long-range air
traffic flow management in the Asia-Pacific region. This management will provide an …

Prediction of air traffic delays: An agent-based model introducing refined parameter estimation methods

C Wang, M Hu, L Yang, Z Zhao - PLoS One, 2021 - journals.plos.org
We propose an agent-based model for predicting individual flight delays in an entire air
traffic network. In contrast to previous work, more detailed parameter estimation methods …