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...
Главный автор: | |
---|---|
Другие авторы: | |
Формат: | Final Year Project (FYP) |
Язык: | English |
Опубликовано: |
Nanyang Technological University
2023
|
Предметы: | |
Online-ссылка: | https://hdl.handle.net/10356/167995 |