Enhancing air traffic conflict resolution through machine learning, conformal automation, and flow-centric paradigms
Air traffic conflict resolution is a dynamic, time-sensitive, and safety-critical aspect of air traffic control, which involves a complex interaction of humans, machines, and procedures. In current sector-based operations where the airspace is subdivided into smaller geographical regions, ensuring...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/177541 |
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| 機構: | Nanyang Technological University |
| 語言: | English |