A network based dynamic air traffic flow model for en route airspace system traffic flow optimization

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Title: A network based dynamic air traffic flow model for en route airspace system traffic flow optimization
Authors: Chen, D
Hu, M
Zhang, H
Yin, J
Han, K
Item 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.
Issue Date: 5-Aug-2017
Date of Acceptance: 20-Jul-2017
URI: http://hdl.handle.net/10044/1/50172
DOI: https://dx.doi.org/10.1016/j.tre.2017.07.009
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/
Keywords: air traffic management
en route traffic flow optimization
flight operational cost
0102 Applied Mathematics
0103 Numerical And Computational Mathematics
1507 Transportation And Freight Services
Logistics & Transportation
Publication Status: Published
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering



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