A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
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 …
growth and increased complexity of aviation and has to be improved in order to maintain …
An explainable artificial intelligence (xAI) framework for improving trust in automated ATM tools
CS Hernandez, S Ayo… - 2021 IEEE/AIAA 40th …, 2021 - ieeexplore.ieee.org
With the increased use of intelligent Decision Support Tools in Air Traffic Management
(ATM) and inclusion of non-traditional entities, regulators and end users need assurance …
(ATM) and inclusion of non-traditional entities, regulators and end users need assurance …
Toward atm resiliency: A deep cnn to predict number of delayed flights and atfm delay
R Sanaei, BA Pinto, V Gollnick - Aerospace, 2021 - mdpi.com
The European Air Traffic Management Network (EATMN) is comprised of various
stakeholders and actors. Accordingly, the operations within EATMN are planned up to six …
stakeholders and actors. Accordingly, the operations within EATMN are planned up to six …
Sector entry flow prediction based on graph convolutional networks
Improving short-term air traffic flow prediction can help forecast demand and maximize
existing capacity by tactical air traffic flow management. Most existing studies in flow …
existing capacity by tactical air traffic flow management. Most existing studies in flow …
Causal effects of landing parameters on runway occupancy time using causal machine learning models
Limited runway capacity is a common problem faced by most airports worldwide. The two
important factors that affect runway throughput are the wake-vortex separation and Runway …
important factors that affect runway throughput are the wake-vortex separation and Runway …
Analyzing stochastic features in airport surface traffic flow using cellular automaton: Tokyo international airport
Global air passenger transport demand is expected to increase, and there is concern that
the current airport operation will not be able to cope with aircraft overcrowding. In this study …
the current airport operation will not be able to cope with aircraft overcrowding. In this study …
[PDF][PDF] Predicting go-around occurrence with input-output hidden Markov model
–Input-Output Hidden Markov Model (IO-HMM)–to make sequential predictions of go-around
probabilities for a flight approaching its destination airport. We compare the performance of …
probabilities for a flight approaching its destination airport. We compare the performance of …
Aircraft sequencing under the uncertainty of the runway occupancy times of arrivals during the backtrack procedure
K Dönmez - The Aeronautical Journal, 2023 - cambridge.org
In some small airports, a parallel taxiway is not built due to space restrictions or financial
issues; hence, the runway itself is often used as a taxiway in this type of airport. After touch …
issues; hence, the runway itself is often used as a taxiway in this type of airport. After touch …
Real-Time Prediction of Runway Occupancy Buffers
L Dai, M Hansen - … on Artificial Intelligence and Data Analytics …, 2020 - ieeexplore.ieee.org
To improve runway safety and efficiency, real-time prediction of the time separation between
successive flights using the same runway would be valuable. In this paper, we develop …
successive flights using the same runway would be valuable. In this paper, we develop …
A runway exit prediction model with visually explainable machine decisions
A growing number of machine learning (ML) enabled tools and prototypes have been
developed to assist air traffic controllers (ATCOs) in their decision-making process. These …
developed to assist air traffic controllers (ATCOs) in their decision-making process. These …