A machine-learned approach for reducing airborne delays and environmental impact in terminal manoeuvring area using extended arrival management
The rise in air travel has drawn significant attention to reducing congestion, mitigating environmental impact, and ensuring safety and efficiency. However, growing air traffic has led to an increase in flight delays, causing environmental, economic, operational, and passenger-related issues. Althou...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181851 |