A sequence model for air traffic flow management rerouting problem
With the continuous growth of air transportation industry, the current Air Traffic Management systems can hardly meet the demand recently. In this work, an integer optimization model for Air Traffic Flow Management (ATFM) which integrates 4D trajectory-based operations is proposed to improve the sit...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136961 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-136961 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1369612023-03-04T17:21:44Z A sequence model for air traffic flow management rerouting problem Diao, Xudong Chen, Chun-Hsien School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Air Traffic Flow Management 4D Trajectory-based Operation With the continuous growth of air transportation industry, the current Air Traffic Management systems can hardly meet the demand recently. In this work, an integer optimization model for Air Traffic Flow Management (ATFM) which integrates 4D trajectory-based operations is proposed to improve the situation. Besides addressing the issues of rerouting, ground-holding delay, fuel consumption and flight cancellation on a flight-by-flight basis, the model also employs sector-less airspace configurations. In order to solve the model efficiently, Dantzig-Wolfe decomposition and a heuristic approach via column generation are developed to generate 4D conflict-free trajectories for each flight. By applying commercial optimization software, solutions could be obtained in 20 min for the ATFM rerouting problems of the whole Southeast Asia region. Accepted version 2020-02-07T04:38:53Z 2020-02-07T04:38:53Z 2015 Journal Article Diao, X., & Chen, C.-H. (2018). A sequence model for air traffic flow management rerouting problem. Transportation Research Part E: Logistics and Transportation Review, 110, 15-30. doi:10.1016/j.tre.2017.12.002 1366-5545 https://hdl.handle.net/10356/136961 10.1016/j.tre.2017.12.002 2-s2.0-85040791083 110 15 30 en Transportation Research Part E: Logistics and Transportation Review © 2017 Elsevier Ltd. All rights reserved. This paper was published in Transportation Research Part E: Logistics and Transportation Review and is made available with permission of Elsevier Ltd. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Mechanical engineering Air Traffic Flow Management 4D Trajectory-based Operation |
spellingShingle |
Engineering::Mechanical engineering Air Traffic Flow Management 4D Trajectory-based Operation Diao, Xudong Chen, Chun-Hsien A sequence model for air traffic flow management rerouting problem |
description |
With the continuous growth of air transportation industry, the current Air Traffic Management systems can hardly meet the demand recently. In this work, an integer optimization model for Air Traffic Flow Management (ATFM) which integrates 4D trajectory-based operations is proposed to improve the situation. Besides addressing the issues of rerouting, ground-holding delay, fuel consumption and flight cancellation on a flight-by-flight basis, the model also employs sector-less airspace configurations. In order to solve the model efficiently, Dantzig-Wolfe decomposition and a heuristic approach via column generation are developed to generate 4D conflict-free trajectories for each flight. By applying commercial optimization software, solutions could be obtained in 20 min for the ATFM rerouting problems of the whole Southeast Asia region. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Diao, Xudong Chen, Chun-Hsien |
format |
Article |
author |
Diao, Xudong Chen, Chun-Hsien |
author_sort |
Diao, Xudong |
title |
A sequence model for air traffic flow management rerouting problem |
title_short |
A sequence model for air traffic flow management rerouting problem |
title_full |
A sequence model for air traffic flow management rerouting problem |
title_fullStr |
A sequence model for air traffic flow management rerouting problem |
title_full_unstemmed |
A sequence model for air traffic flow management rerouting problem |
title_sort |
sequence model for air traffic flow management rerouting problem |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/136961 |
_version_ |
1759855463543865344 |