Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport
Appropriate gate reassignment is crucially important in efficiency improvement on airport sources and service quality of travelers. The paper divides delay flight into certain delay time flight and uncertain delay time flight based on flight delay feature. The main objective functions of model are t...
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2013-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/646241 |
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doaj-d6e7c387c1f049d9b26d7eaf57946e1a2020-11-25T00:47:08ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/646241646241Real-Time Gate Reassignment Based on Flight Delay Feature in Hub AirportHuawei Wang0Yuxiao Luo1Zhijian Shi2College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaAppropriate gate reassignment is crucially important in efficiency improvement on airport sources and service quality of travelers. The paper divides delay flight into certain delay time flight and uncertain delay time flight based on flight delay feature. The main objective functions of model are to minimize the disturbance led by gate reassignment in the case of certain delay time flight and uncertain delay time flight, respectively. Another objective function of model is to build penalty function when the gate reassignment of certain delay time flight influences uncertain delay time flight. Ant colony algorithm (ACO) is presented to simulate and verify the effectiveness of the model. The comparison between simulation result and artificial assignment shows that the result coming from ACO is obvious prior to the result coming from artificial assignment. The maximum disturbance of gate assignment is decreased by 13.64%, and the operation time of ACO is 118 s. The results show that the strategy of gate reassignment is feasible and effective.http://dx.doi.org/10.1155/2013/646241 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huawei Wang Yuxiao Luo Zhijian Shi |
spellingShingle |
Huawei Wang Yuxiao Luo Zhijian Shi Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport Mathematical Problems in Engineering |
author_facet |
Huawei Wang Yuxiao Luo Zhijian Shi |
author_sort |
Huawei Wang |
title |
Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport |
title_short |
Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport |
title_full |
Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport |
title_fullStr |
Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport |
title_full_unstemmed |
Real-Time Gate Reassignment Based on Flight Delay Feature in Hub Airport |
title_sort |
real-time gate reassignment based on flight delay feature in hub airport |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2013-01-01 |
description |
Appropriate gate reassignment is crucially important in efficiency improvement on airport sources and service quality of travelers. The paper divides delay flight into certain delay time flight and uncertain delay time flight based on flight delay feature. The main objective functions of model are to minimize the disturbance led by gate reassignment in the case of certain delay time flight and uncertain delay time flight, respectively. Another objective function of model is to build penalty function when the gate reassignment of certain delay time flight influences uncertain delay time flight. Ant colony algorithm (ACO) is presented to simulate and verify the effectiveness of the model. The comparison between simulation result and artificial assignment shows that the result coming from ACO is obvious prior to the result coming from artificial assignment. The maximum disturbance of gate assignment is decreased by 13.64%, and the operation time of ACO is 118 s. The results show that the strategy of gate reassignment is feasible and effective. |
url |
http://dx.doi.org/10.1155/2013/646241 |
work_keys_str_mv |
AT huaweiwang realtimegatereassignmentbasedonflightdelayfeatureinhubairport AT yuxiaoluo realtimegatereassignmentbasedonflightdelayfeatureinhubairport AT zhijianshi realtimegatereassignmentbasedonflightdelayfeatureinhubairport |
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1725261590476881920 |