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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/3F8984A1-1E9D-4EBC-BA1D-B282A8434E95 | - |
| Identifier | https://link.springer.com/chapter/10.1007%2F978-3-319-64798-2_15 | - |
| Identifier | https://doi.org/10.1007/978-3-319-64798-2_15 | - |
| Language | en | - |
| Extent | 18 pages | en |
| Title | Learning policies for resolving demand-capacity imbalances during pre-tactical air traffic management | en |
| Creator | Kravaris Theocharis | en |
| Creator | Vouros, George A | en |
| Creator | Spatharis Christos | en |
| Creator | Blekas, Konstantinos D | en |
| Creator | Chalkiadakis Georgios | en |
| Creator | Χαλκιαδακης Γεωργιος | el |
| Creator | Garcia Jose Manuel Cordero | en |
| Publisher | Springer Verlag | en |
| Content Summary | In 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 |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-07-03 | - |
| Date of Publication | 2017 | - |
| Subject | Air traffic management | en |
| Bibliographic Citation | T. 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_15 | en |
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