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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Main Authors: Huawei Wang, Yuxiao Luo, Zhijian Shi
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/646241
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spelling 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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