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 …
On the relevance of data science for flight delay research: a systematic review
L Carvalho, A Sternberg, L Maia Goncalves… - Transport …, 2021 - Taylor & Francis
Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
Delay causality network in air transport systems
To better understand the mechanism of flight delay propagation at the system-level, we built
a delay causality network (DCN) based on the Granger causality test. Through topological …
a delay causality network (DCN) based on the Granger causality test. Through topological …
[HTML][HTML] Measuring the resilience of an airport network
W Yanjun, Z Jianming, XU Xinhua, LI Lishuai… - Chinese Journal of …, 2019 - Elsevier
Resilience is the ability of a system to withstand and stay operational in the face of an
unexpected disturbance or unpredicted changes. Recent studies on air transport system …
unexpected disturbance or unpredicted changes. Recent studies on air transport system …
Flight trajectory data analytics for characterization of air traffic flows: A comparative analysis of terminal area operations between New York, Hong Kong and Sao Paulo
Abstract Future Air Traffic Management systems can benefit from innovative approaches that
leverage the increasing availability of operational data to facilitate the development of new …
leverage the increasing availability of operational data to facilitate the development of new …
Identification of critical nodes in multimodal transportation network
L Wang, S Zheng, Y Wang, L Wang - Physica A: Statistical mechanics and …, 2021 - Elsevier
A transportation network is an essential lifeline engineering system, and its reliability is
critical when faced with natural or man-made disasters. The reliability of the transportation …
critical when faced with natural or man-made disasters. The reliability of the transportation …
[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 …
A data-driven method to assess the causes and impact of delay propagation in air transportation systems
V Giannikas, A Ledwoch, G Stojković, P Costas… - … Research Part C …, 2022 - Elsevier
Air transportation systems are exposed to disruptions, which have significant impact on
operations. Airlines operate tight schedules to maximise resource utilisation, however, the …
operations. Airlines operate tight schedules to maximise resource utilisation, however, the …
Multiple air route crossing waypoints optimization via artificial potential field method
Air route crossing waypoint optimization is one of the effective ways to improve airspace
utilization, capacity and resilience in dealing with air traffic congestion and delay. However …
utilization, capacity and resilience in dealing with air traffic congestion and delay. However …
PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction
Efficient and resilient traffic management relies on accurate prediction of air traffic states.
However, the complex spatial-temporal dependencies of air traffic networks make this task …
However, the complex spatial-temporal dependencies of air traffic networks make this task …