Airport operations with electric-powered towing alternatives under stochastic conditions

S Ahmadi, A Akgunduz - Journal of Air Transport Management, 2023 - Elsevier
Air transportation has become a common travelling medium for ordinary public in most
regions around the world since the deregulation of civil aviation in the US in 1978. While the …

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 …

Overview of recent developments in modelling and simulations for analyses of airspace structures and traffic flows

ZW Zhong - Advances in Mechanical Engineering, 2018 - journals.sagepub.com
This article discusses the recent developments in modelling and simulations for analyses of
airspace structures and traffic flows. The topics discussed are new models/methods …

Network-wide assessment of ATM mechanisms using an agent-based model

L Delgado, G Gurtner, P Mazzarisi, S Zaoli… - Journal of Air Transport …, 2021 - Elsevier
This paper presents results from the SESAR ER3 Domino project. Three mechanisms are
assessed at the ECAC-wide level: 4D trajectory adjustments (a combination of actively …

[HTML][HTML] Assessment of the North European free route airspace deployment

CAN Gaxiola, C Barrado, P Royo, E Pastor - Journal of Air Transport …, 2018 - Elsevier
Abstract Free Route Airspace is an operational concept for the modernization of the
airspace, addressed to improving the efficiency of the flights. It also aims at the …

A deep ensemble multi-agent reinforcement learning approach for air traffic control

S Ghosh, S Laguna, SH Lim, L Wynter… - arXiv preprint arXiv …, 2020 - arxiv.org
Air traffic control is an example of a highly challenging operational problem that is readily
amenable to human expertise augmentation via decision support technologies. In this …

[HTML][HTML] Explainable active learning metamodeling for simulations: Method and experiments for ATM performance assessment

C Riis, F Antunes, T Bolić, G Gurtner, A Cook… - … Research Part C …, 2024 - Elsevier
The use of Air traffic management (ATM) simulators for planing and operations can be
challenging due to their modelling complexity. This paper presents XALM (eXplainable …

Decentralizing air traffic flow management with blockchain-based reinforcement learning

T Duong, KK Todi, U Chaudhary… - 2019 IEEE 17th …, 2019 - ieeexplore.ieee.org
We propose and implement a decentralized, intelligent air traffic flow management (ATFM)
solution to improve the efficiency of air transportation in the ASEAN region as a whole. Our …

[HTML][HTML] A multi-objective multi-memetic algorithm for network-wide conflict-free 4D flight trajectories planning

YAN Su, CAI Kaiquan - Chinese Journal of Aeronautics, 2017 - Elsevier
Under the demand of strategic air traffic flow management and the concept of trajectory
based operations (TBO), the network-wide 4D flight trajectories planning (N4DFTP) problem …

Statistical characterization of deviations from planned flight trajectories in air traffic management

C Bongiorno, G Gurtner, F Lillo, RN Mantegna… - Journal of air transport …, 2017 - Elsevier
Understanding the relation between planned and realized flight trajectories and the
determinants of flight deviations is of great importance in air traffic management. In this …