A distributed metaheuristic approach for complexity reduction in air traffic for strategic 4D trajectory optimization
This paper presents a new challenge on the strategic 4D trajectory optimization problem with the evaluation of air traffic complexity by using the geometric-based intrinsic complexity measure called König metric. The demonstration of König metric shows the potential that the algorithm can capture th...
Main Authors: | Juntama, Paveen, Chaimatanan, Supatcha, Alam, Sameer, Delahaye, Daniel |
---|---|
Other Authors: | 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT) |
Format: | Conference Paper |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148320 |
Similar Items
-
Hyperheuristic approach based on reinforcement learning for air traffic complexity mitigation
by: Juntama, Paveen, et al.
Published: (2023) -
Air traffic structuration based on linear dynamical systems
by: Juntama, Paveen, et al.
Published: (2021) -
A study of robustness between two strategic 4D trajectory plannings
by: Juntama, Paveen, et al.
Published: (2024) -
A supervised learning approach for 4D air traffic conflict prediction under trajectory uncertainty
by: Mohamed Arif Mohamed, et al.
Published: (2023) -
A quasi-dynamic air traffic assignment model for mitigating air traffic complexity and congestion for high-density UAM operations
by: Wang, Zhengyi, et al.
Published: (2023)