A network based dynamic air traffic flow model for en route airspace system traffic flow optimization
File(s)
Accepted version
Author(s)
Chen, D
Hu, M
Zhang, H
Yin, J
Han, K
Type
Journal Article
Abstract
This study proposes a mesoscopic dynamic air traffic model based on a dynamic network for en route airspaces by characterizing the dynamics and distribution of traffic speed. Based on this model, we solve a flow optimization problem for enforcing capacity constraints with the minimum operational cost using a dual decomposition method. A case study of an en route airspace in Shanghai demonstrates the accuracy of the proposed model in successfully capturing the flow dynamics, as well as the effectiveness of the proposed optimization framework to reduce en route delays by balancing the dynamic traffic demand and airspace capacity.
Date Issued
2017-08-05
Date Acceptance
2017-07-20
Citation
Transportation Research Part E - Logistics and Transportation Review, 2017, 106, pp.1-19
ISSN
1366-5545
Publisher
Elsevier
Start Page
1
End Page
19
Journal / Book Title
Transportation Research Part E - Logistics and Transportation Review
Volume
106
Copyright Statement
© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
air traffic management
en route traffic flow optimization
flight operational cost
Publication Status
Published