Hyperheuristic approach based on reinforcement learning for air traffic complexity mitigation
Airspace capacity has become a critical resource for air transportation. Complexity in traffic patterns is a structural problem, whereby airspace capacity is sometimes saturated before the number of aircraft has reached the capacity threshold. This paper addresses a strategic planning problem with a...
Saved in:
Main Authors: | Juntama, Paveen, Delahaye, Daniel, Chaimatanan, Supatcha, Alam, Sameer |
---|---|
其他作者: | School of Mechanical and Aerospace Engineering |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/164448 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A distributed metaheuristic approach for complexity reduction in air traffic for strategic 4D trajectory optimization
由: Juntama, Paveen, et al.
出版: (2021) -
Air traffic structuration based on linear dynamical systems
由: Juntama, Paveen, et al.
出版: (2021) -
An evolutionary computational framework for capacity-safety trade-off in an air transportation network
由: Mohammad Murad Hossain, et al.
出版: (2019) -
A multi-task learning approach for facilitating dynamic airspace sectorization
由: Zhou, Wei, et al.
出版: (2022) -
Study on building efficient airspace through implementation of free route concept in the Manila FIR
由: Zhong, Zhaowei, et al.
出版: (2019)