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Learning policies for resolving demand-capacity imbalances during pre-tactical air traffic management

Kravaris Theocharis, Vouros, George A, Spatharis Christos, Blekas, Konstantinos D, Chalkiadakis Georgios, Garcia Jose Manuel Cordero

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/3F8984A1-1E9D-4EBC-BA1D-B282A8434E95-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007%2F978-3-319-64798-2_15-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-319-64798-2_15-
Γλώσσαen-
Μέγεθος18 pagesen
ΤίτλοςLearning policies for resolving demand-capacity imbalances during pre-tactical air traffic managementen
ΔημιουργόςKravaris Theocharisen
ΔημιουργόςVouros, George Aen
ΔημιουργόςSpatharis Christosen
ΔημιουργόςBlekas, Konstantinos Den
ΔημιουργόςChalkiadakis Georgiosen
ΔημιουργόςΧαλκιαδακης Γεωργιοςel
ΔημιουργόςGarcia Jose Manuel Corderoen
ΕκδότηςSpringer Verlagen
ΠερίληψηIn this work we propose and investigate the use of collaborative reinforcement learning methods for resolving demand-capacity imbalances during pre-tactical Air Traffic Management. By so doing, we also initiate the study of data-driven techniques for predicting multiple correlated aircraft trajectories; and, as such, respond to a need identified in contemporary research and practice in air-traffic management. Our simulations, designed based on real-world data, confirm the effectiveness of our methods in resolving the demand-capacity problem, even in extremely hard scenarios.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-07-03-
Ημερομηνία Δημοσίευσης2017-
Θεματική ΚατηγορίαAir traffic managementen
Βιβλιογραφική ΑναφοράT. Kravaris, G. A. Vouros, C. Spatharis, K. Blekas, G. Chalkiadakis and J. M. C. Garcia, "Learning policies for resolving demand-capacity imbalances during pre-tactical air traffic management, " in 15th German Conference on Multiagent System Technologies, 2017, pp. 238-255. doi: 10.1007/978-3-319-64798-2_15en

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