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 …
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 …
operating with methods that have been developed for a paper-and voice-based system …
OpenAP: An open-source aircraft performance model for air transportation studies and simulations
Air traffic simulations serve as common practice to evaluate different concepts and methods
for air transportation studies. The aircraft performance model is a key element that supports …
for air transportation studies. The aircraft performance model is a key element that supports …
A hybrid machine learning model for short-term estimated time of arrival prediction in terminal manoeuvring area
Abstract 4D trajectory prediction is the core element of future air transportation system, which
is intended to improve the operational ability and the predictability of air traffic. In this paper …
is intended to improve the operational ability and the predictability of air traffic. In this paper …
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 …
management. A safe and efficient prediction is a prerequisite to the implementation of new …
Short-term 4d trajectory prediction using machine learning methods
4D trajectory prediction is the core element of future air transportation system, which is
intended to improve the operational ability and the predictability of air traffic. In this paper …
intended to improve the operational ability and the predictability of air traffic. In this paper …
Big data and smart aviation information management system
X Dou - Cogent Business & Management, 2020 - Taylor & Francis
Aviation industry is facing two major challenges of safety and performance improvement.
They will be expected to be resolved in the context of big data. This paper focuses on the …
They will be expected to be resolved in the context of big data. This paper focuses on the …
Queue behavioural patterns for passengers at airport terminals: A machine learning approach
Á Rodríguez-Sanz, AF de Marcos… - Journal of Air Transport …, 2021 - Elsevier
Passengers go through different handling processes inside airport terminal buildings. The
quality of these processes is usually measured by the time passengers require and by the …
quality of these processes is usually measured by the time passengers require and by the …
Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM)
M Yousefzadeh Aghdam, SR Kamel Tabbakh… - Journal of Big Data, 2021 - Springer
Nowadays this concept has been widely assessed due to its complexity and sensitivity for
the beneficiaries, including passengers, airlines, regulatory agencies, and other …
the beneficiaries, including passengers, airlines, regulatory agencies, and other …
A deep gaussian process-based flight trajectory prediction approach and its application on conflict detection
In this work, a deep Gaussian process (DGP) based framework is proposed to improve the
accuracy of predicting flight trajectory in air traffic research, which is further applied to …
accuracy of predicting flight trajectory in air traffic research, which is further applied to …