Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting
In order to make reasonable suggestions for the expansion of the Air Traffic Management Technical Support System (ATMTSS), it is necessary to conduct a comprehensive analysis of the ATMTSS network. This paper constructs a multi-source weighted ATMTSS network that considers the working characteristic...
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Departamento de Ciência e Tecnologia Aeroespacial
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Online Access: | http://www.scielo.br/pdf/jatm/v11/2175-9146-jatm-11-e3119.pdf |
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doaj-5cc032b680cd4b868b7ea3557d551ceb2020-11-24T21:41:04ZengDepartamento de Ciência e Tecnologia AeroespacialJournal of Aerospace Technology and Management1984-96482175-91462019-06-011113119311910.5028/jatm.v11.1033Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source WeightingKai Fan0Song Han1Wei Li2Lisha Yu3Jiayu Quan4Peng Li5Sichuan UniversitySichuan UniversitySichuan UniversitySichuan UniversitySichuan UniversitySichuan UniversityIn order to make reasonable suggestions for the expansion of the Air Traffic Management Technical Support System (ATMTSS), it is necessary to conduct a comprehensive analysis of the ATMTSS network. This paper constructs a multi-source weighted ATMTSS network that considers the working characteristics and geographical locations of the facilities. The complex network metrics, such as degree, node strength, clustering coefficient, average path length, diameter, and the improved Fast-Newman (FN) algorithm, are used in the analysis of the network. The results show that the ATMTSS network is a complex network with small-world characteristics and random characteristics and that the distribution of ATMTSS network support capability is not the same as the topology network structure. The weighted network is looser than the non-weighted network. The air traffic management in remote areas is less affected by facilities than that in developed areas. http://www.scielo.br/pdf/jatm/v11/2175-9146-jatm-11-e3119.pdfComplex networkCommunity structureAir traffic managementGeographical location. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kai Fan Song Han Wei Li Lisha Yu Jiayu Quan Peng Li |
spellingShingle |
Kai Fan Song Han Wei Li Lisha Yu Jiayu Quan Peng Li Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting Journal of Aerospace Technology and Management Complex network Community structure Air traffic management Geographical location. |
author_facet |
Kai Fan Song Han Wei Li Lisha Yu Jiayu Quan Peng Li |
author_sort |
Kai Fan |
title |
Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting |
title_short |
Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting |
title_full |
Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting |
title_fullStr |
Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting |
title_full_unstemmed |
Network Characteristics Analysis of Air Traffi c Management Technical Support System Based on Multi-source Weighting |
title_sort |
network characteristics analysis of air traffi c management technical support system based on multi-source weighting |
publisher |
Departamento de Ciência e Tecnologia Aeroespacial |
series |
Journal of Aerospace Technology and Management |
issn |
1984-9648 2175-9146 |
publishDate |
2019-06-01 |
description |
In order to make reasonable suggestions for the expansion of the Air Traffic Management Technical Support System (ATMTSS), it is necessary to conduct a comprehensive analysis of the ATMTSS network. This paper constructs a multi-source weighted ATMTSS network that considers the working characteristics and geographical locations of the facilities. The complex network metrics, such as degree, node strength, clustering coefficient, average path length, diameter, and the improved Fast-Newman (FN) algorithm, are used in the analysis of the network. The results show that the ATMTSS network is a complex network with small-world characteristics and random characteristics and that the distribution of ATMTSS network support capability is not the same as the topology network structure. The weighted network is looser than the non-weighted network. The air traffic management in remote areas is less affected by facilities than that in developed areas.
|
topic |
Complex network Community structure Air traffic management Geographical location. |
url |
http://www.scielo.br/pdf/jatm/v11/2175-9146-jatm-11-e3119.pdf |
work_keys_str_mv |
AT kaifan networkcharacteristicsanalysisofairtrafficmanagementtechnicalsupportsystembasedonmultisourceweighting AT songhan networkcharacteristicsanalysisofairtrafficmanagementtechnicalsupportsystembasedonmultisourceweighting AT weili networkcharacteristicsanalysisofairtrafficmanagementtechnicalsupportsystembasedonmultisourceweighting AT lishayu networkcharacteristicsanalysisofairtrafficmanagementtechnicalsupportsystembasedonmultisourceweighting AT jiayuquan networkcharacteristicsanalysisofairtrafficmanagementtechnicalsupportsystembasedonmultisourceweighting AT pengli networkcharacteristicsanalysisofairtrafficmanagementtechnicalsupportsystembasedonmultisourceweighting |
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