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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Bibliographic Details
Main Author: Hoo, Xuan Tao
Other Authors: Sameer Alam
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167995