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 …

Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context

A Gardi, R Sabatini, S Ramasamy - Progress in Aerospace Sciences, 2016 - Elsevier
The continuous increase of air transport demand worldwide and the push for a more
economically viable and environmentally sustainable aviation are driving significant …

Bayesian neural networks for flight trajectory prediction and safety assessment

X Zhang, S Mahadevan - Decision Support Systems, 2020 - Elsevier
Safety, as the most important concern in civil aviation, needs to be maintained at an
acceptable level at all times in the air transportation system. This paper aims to increase en …

Machine learning and mass estimation methods for ground-based aircraft climb prediction

R Alligier, D Gianazza, N Durand - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we apply machine learning methods to improve the aircraft climb prediction in
the context of ground-based applications. Mass is a key parameter for climb prediction. As it …

Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study

R Alligier, D Gianazza - Transportation research part C: emerging …, 2018 - Elsevier
Ground-based aircraft trajectory prediction is a major concern in air traffic control and
management. A safe and efficient prediction is a prerequisite to the implementation of new …

Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights

R Alligier, D Gianazza, N Durand - Transportation Research Part C …, 2013 - Elsevier
Ground-based aircraft trajectory prediction is a major concern in air traffic control and
management. A safe and efficient prediction is a prerequisite to the implementation of …

Sound propagation modelling for manned and unmanned aircraft noise assessment and mitigation: A review

R Kapoor, N Kloet, A Gardi, A Mohamed, R Sabatini - Atmosphere, 2021 - mdpi.com
This paper addresses one of the recognized barriers to the unrestricted adoption of
Unmanned Aircraft (UA) in mainstream urban use—noise—and reviews existing …

Modeling go-around occurrence using principal component logistic regression

L Dai, Y Liu, M Hansen - Transportation Research Part C: Emerging …, 2021 - Elsevier
A go-around is an aborted approach of an aircraft. We model go-around occurrence using
Principal Component Logistic Regression (PCLR). This entails go-around detection, feature …

Contemporary measures for noise reduction in airport surroundings

F Netjasov - Applied Acoustics, 2012 - Elsevier
Air traffic, with its adverse influence on environment, is beginning to jeopardize its own
development. Air traffic noise in vicinity of airports is seen as one of the important constraints …

Comparison of emerging ground propulsion systems for electrified aircraft taxi operations

R Guo, Y Zhang, Q Wang - Transportation Research Part C: Emerging …, 2014 - Elsevier
Aviation is a mode with high fuel consumption per passenger mile and has significant
environmental impacts. It is important to seek ways to reduce fuel consumption by the …