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Francisco Pérez Moreno, Víctor Fernando Gómez Comendador, Raquel Delgado-Aguilera Jurado, María Zamarreño Suárez and Rosa María Arnaldo Valdés
The Air Traffic Control (ATC) system suffers from an ever-increasing demand for aircraft, leading to capacity issues. For this reason, airspace is regulated by limiting the entry of aircraft into the airspace. Knowledge of these regulations before they o...
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Dong Sui, Kechen Liu and Qian Li
Air traffic situation prediction is critical for traffic flow management and the optimal allocation of airspace resources. In this study, the multi-sector airspace scenario is abstracted into an undirected graph. A spatiotemporal graph convolutional netw...
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Javier Alberto Pérez-Castán, Luis Pérez-Sanz, Lidia Serrano-Mira, Francisco Javier Saéz-Hernando, Irene Rodríguez Gauxachs and Víctor Fernando Gómez-Comendador
Given the ongoing interest in the application of Machine Learning (ML) techniques, the development of new Air Traffic Control (ATC) tools is paramount for the improvement of the management of the air transport system. This article develops an ATC tool ba...
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Pratik Rao, Feijia Yin, Volker Grewe, Hiroshi Yamashita, Patrick Jöckel, Sigrun Matthes, Mariano Mertens and Christine Frömming
One possibility to reduce the climate impact of aviation is the avoidance of climate-sensitive regions, which is synonymous with climate-optimised flight planning. Those regions can be identified by algorithmic Climate Change Functions (aCCFs) for nitrog...
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Yibing Xie, Nichakorn Pongsakornsathien, Alessandro Gardi and Roberto Sabatini
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 airspace. Highly automated ATM systems relying on artificial intelligence (A...
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