Strategies towards a more sustainable aviation: A systematic review

F Afonso, M Sohst, CMA Diogo, SS Rodrigues… - Progress in Aerospace …, 2023 - Elsevier
As climate change is exacerbated and existing resources are depleted, the need for
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …

Aircraft trajectory prediction and synchronization for air traffic management applications

S Mondoloni, N Rozen - Progress in aerospace sciences, 2020 - Elsevier
Commercial aircraft operating today are faced with an air traffic management (ATM) system
operating with methods that have been developed for a paper-and voice-based system …

Avionics human-machine interfaces and interactions for manned and unmanned aircraft

Y Lim, A Gardi, R Sabatini, S Ramasamy… - Progress in Aerospace …, 2018 - Elsevier
Technological advances in avionics systems and components have facilitated the
introduction of progressively more integrated and automated Human-Machine Interfaces …

Explanation of machine-learning solutions in air-traffic management

Y Xie, N Pongsakornsathien, A Gardi, R Sabatini - Aerospace, 2021 - mdpi.com
Advances in the trusted autonomy of air-traffic management (ATM) systems are currently
being pursued to cope with the predicted growth in air-traffic densities in all classes of …

Machine learning and cognitive ergonomics in air traffic management: Recent developments and considerations for certification

T Kistan, A Gardi, R Sabatini - Aerospace, 2018 - mdpi.com
Resurgent interest in artificial intelligence (AI) techniques focused research attention on their
application in aviation systems including air traffic management (ATM), air traffic flow …

A performance-based airspace model for unmanned aircraft systems traffic management

N Pongsakornsathien, S Bijjahalli, A Gardi, A Symons… - Aerospace, 2020 - mdpi.com
Recent evolutions of the Unmanned Aircraft Systems (UAS) Traffic Management (UTM)
concept are driving the introduction of new airspace structures and classifications, which …

An agent-based model for air transportation to capture network effects in assessing delay management mechanisms

G Gurtner, L Delgado, D Valput - Transportation Research Part C …, 2021 - Elsevier
This article presents some of the results on the implementation of a decentralised delay
management process that we call 4D trajectory adjustments (4DTA) obtained with Mercury …

A knee-guided evolutionary algorithm for multi-objective air traffic flow management

T Guo, Y Mei, K Tang, W Du - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Air traffic flow management plays a crucial role in efficient aviation. Most existing studies
assume the flight speed as constant throughout the trip, leading to ineffective fixed-speed …

Weather impact quantification on airport arrival on-time performance through a Bayesian statistics modeling approach

GN Lui, KK Hon, RP Liem - Transportation Research Part C: Emerging …, 2022 - Elsevier
Compared with departures, predicting the weather impact on arrival delays is more
challenging because of possible non-linear, cascading effects, and higher uncertainty …

Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges

EC Pinto Neto, DM Baum, JR Almeida Jr… - Aerospace, 2023 - mdpi.com
Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …