Data-driven network modeling for airspace optimization through airway re-structurization and traffic flow prediction
The increasing air traffic demand is leading to airspace congestion which not only elicits traffic delays causing substantial economic losses but may also exceed the airspace capacity causing potential safety and inefficiency issues. Accommodating the future air traffic demand becomes a major challe...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/164436 |