A supervised learning approach for 4D air traffic conflict prediction under trajectory uncertainty
This paper presents a Supervised Learning approach for the problem of air traffic conflict prediction in 4- dimensional space (3-dimensional space and time) under trajectory uncertainties, resulting in non-nominal conflict points. Decision support systems for conflict prediction offer shortterm co...
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Main Authors: | , , |
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格式: | Conference or Workshop Item |
語言: | English |
出版: |
2023
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在線閱讀: | https://hdl.handle.net/10356/170972 https://2023.ieee-itsc.org/ |
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