Modeling and Feature Analysis of Air Traffic Management Technical Support System Based on Weighted Complex Network
Authors: 
Quan Jiayu, Han Songchen, Li Peng, Liang Binbin, Yu Lisha, Yang KunshanAuthors Info & Claims
Quan Jiayu, Han Songchen, Li Peng, Liang Binbin, Yu Lisha, Yang KunshanAuthors Info & ClaimsPages 68 - 73
Abstract
In order to accurately analyze the distribution characteristics of Air Traffic Management Technical Support System(ATMTSS), based on complex network theory, the weighted network model of air traffic management system was established. From the three aspects of mobility, efficiency, vulnerability, feature analysis index set is established under the weighted condition. Taking the southwest China area as an example, results show that the weighted network is uneven distribution and few nodes played a key role in the network nodes. The cumulative degree distribution and node weighted distribution obey a power-law distribution. The Network has a scale-free feature. The Poisson distribution value of the navigation device node degree is 0.0085. The network is a random network. The average path length of the network is 3.4, which shows the small world feature. The concept of rationality of device establishment location can basically reflect the business relationship between ATMTSS and flight flow. The node with high centrality score is a hub node that connects different local networks to a whole network. The network is poor in the resistance to malicious attacks. These theories have laid the foundation for the further development planning of the air traffic management system based on business sustainability research.
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- Modeling and Feature Analysis of Air Traffic Management Technical Support System Based on Weighted Complex Network
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September 2019
76 pages
ISBN:9781450372480
DOI:10.1145/3366750
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Published: 18 September 2019
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MLMI 2019
MLMI 2019: 2019 2nd International Conference on Machine Learning and Machine Intelligence
September 18 - 20, 2019
Jakarta, Indonesia
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