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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Main Authors: Kai Fan, Song Han, Wei Li, Lisha Yu, Jiayu Quan, Peng Li
Format: Article
Language:English
Published: Departamento de Ciência e Tecnologia Aeroespacial 2019-06-01
Series:Journal of Aerospace Technology and Management
Subjects:
Online Access:http://www.scielo.br/pdf/jatm/v11/2175-9146-jatm-11-e3119.pdf
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spelling 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
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