Computational modelling and analysis of impeded and unimpeded taxi-out time at congested airports
In this study, a Deep Reinforcement Learning (DRL) approach is proposed to optimize the pre-departure sequencing of aircraft at airports, with the objective of minimizing taxi delays and queuing time. The research focuses on two main components: synthetic schedule generation and agent pre-training w...
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| Формат: | Final Year Project (FYP) |
| Язык: | English |
| Опубликовано: |
Nanyang Technological University
2023
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| Online-ссылка: | https://hdl.handle.net/10356/167995 |