Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Aircraft Landing Queue Scheduling Model on the Fight Delay Problem

Authors
Xin Zheng
Corresponding Author
Xin Zheng
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.117How to use a DOI?
Keywords
fight delay; aircraft landing queue scheduling; TSP; Hopfield neural network
Abstract

This paper aiming at the traffic control of fight to solve the problem of fight delay. To reinforce the traffic control, we build the aircraft queue scheduling model, which include two sub-models. When the amount of landing flights exceeds the runway capacity, the problem can transfer to the traveling salesman problem. Then we use Hopfield neural network to solve it to get the optimal aircraft queue.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.117How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xin Zheng
PY  - 2016/06
DA  - 2016/06
TI  - Aircraft Landing Queue Scheduling Model on the Fight Delay Problem
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 543
EP  - 546
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.117
DO  - 10.2991/mmebc-16.2016.117
ID  - Zheng2016/06
ER  -