A machine learning approach on past ADS-B data to predict planning controller’s actions
En-route airspace is one of the most congested airspaces, as it is mainly used in the cruise phase of the flight. The en-route sector is usually managed by a team of two air traffic controllers: planning controller (D-side) and executive controller (R-side). The D-side controller is responsible for...
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Main Authors: | , , , |
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其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
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2021
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在線閱讀: | https://hdl.handle.net/10356/146669 |
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機構: | Nanyang Technological University |
語言: | English |