Title | Dispatcher3 – Machine learning to support flight planning processes |
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Authors | Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E. |
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Type | Conference poster |
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Abstract | This poster will present the final results of the Clean Sky 2 project Dispatcher3. Dispatcher3 focuses on the use of machine learning techniques to support flight operations prior departure with holding predictions, runway at arrival estimation and fuel deviations pre-departure to support the flight crew, and ATFM and reactionary delays on D-1 to support the duty manager |
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Year | 2022 |
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Conference | SESAR Innovation Days 2022 |
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Publisher | SESAR |
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Accepted author manuscript | File Access Level Open (open metadata and files) |
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Publication dates |
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Published | 05 Dec 2022 |
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Project | Dispatcher3 |
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Funder | H2020 - Clean Sky 2 |
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Web address (URL) of conference proceedings | https://www.sesarju.eu/sesarinnovationdays |
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