[HTML][HTML] 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 …
Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies
Aircraft maintenance routing (AMR) is crucial for both passenger airlines and cargo airlines
to maintain flight operations efficiency, meanwhile it ensures that aircraft fulfill the civil …
to maintain flight operations efficiency, meanwhile it ensures that aircraft fulfill the civil …
Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN)
Air traffic density prediction is crucial to aviation safety and air traffic management (ATM).
Understanding the complex spatial–temporal varying traffic patterns and the inter …
Understanding the complex spatial–temporal varying traffic patterns and the inter …
Deep trajectory clustering with autoencoders
X Olive, L Basora, B Viry, R Alligier - ICRAT 2020, 9th …, 2020 - enac.hal.science
Identification and characterisation of air traffic flows is an important research topic with many
applications areas including decision-making support tools, airspace design or traffic flow …
applications areas including decision-making support tools, airspace design or traffic flow …
A spatial-temporal approach for multi-airport traffic flow prediction through causality graphs
Accurate airport traffic flow estimation is crucial for the secure and orderly operation of the
aviation system. Recent advances in machine learning have achieved promising prediction …
aviation system. Recent advances in machine learning have achieved promising prediction …
Identification and prediction of urban airspace availability for emerging air mobility operations
MCR Murça - Transportation Research Part C: Emerging …, 2021 - Elsevier
Abstract Emerging Urban Air Mobility (UAM) operations are expected to introduce novel air
traffic networks in metropolitan areas in order to provide on-demand air transportation …
traffic networks in metropolitan areas in order to provide on-demand air transportation …
[HTML][HTML] Methodology of air traffic flow clustering and 3-D prediction of air traffic density in ATC sectors based on machine learning models
FP Moreno, VFG Comendador, RDA Jurado… - Expert Systems with …, 2023 - Elsevier
The increase in the demand for aircraft operations has caused the ATM system to become
overloaded as it no longer has sufficient capacity to respond to this increase in demand. For …
overloaded as it no longer has sufficient capacity to respond to this increase in demand. For …
[HTML][HTML] Classification and analysis of go-arounds in commercial aviation using ADS-B data
Go-arounds are a necessary aspect of commercial aviation and are conducted after a
landing attempt has been aborted. It is necessary to conduct go-arounds in the safest …
landing attempt has been aborted. It is necessary to conduct go-arounds in the safest …
[HTML][HTML] From aircraft tracking data to network delay model: A data-driven approach considering en-route congestion
En-route congestion causes delays in air traffic networks and will become more prominent
as air traffic demand will continue to increase yet airspace volume cannot grow. However …
as air traffic demand will continue to increase yet airspace volume cannot grow. However …
Emissions from intercity aviation: an international comparison
W Liao, Y Fan, C Wang, Z Wang - Transportation Research Part D …, 2021 - Elsevier
This paper builds an inventory of intercity aviation emissions (CO 2, NO x, SO x, CO, HC,
and PM) and conducts a comprehensive international comparison, including the USA …
and PM) and conducts a comprehensive international comparison, including the USA …