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...

Полное описание

Библиографические подробности
Главный автор: Hoo, Xuan Tao
Другие авторы: Sameer Alam
Формат: Final Year Project (FYP)
Язык:English
Опубликовано: Nanyang Technological University 2023
Предметы:
Online-ссылка:https://hdl.handle.net/10356/167995