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    A machine-learned approach for reducing airborne delays and environmental impact in terminal manoeuvring area using extended arrival management

    A machine-learned approach for reducing airborne delays and environmental impact in terminal manoeuvring area using extended arrival management by Lim, Zhi Jun

    Published 2024
    “…The findings indicate that implementing an extended arrival manager in Singapore and Southeast Asia can effectively manage TMA congestion, reduce fuel consumption, and lower carbon dioxide emissions. …”
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    Thesis-Doctor of Philosophy

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