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Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network
Hui Sun1, Yicong Qin1, Zhicheng Mu1
1College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China.
Abstract:
In order to control the spread of the COVID-19 virus, this study proposes an ARCN-SUTS (air railway composite network susceptible-untested-tested-susceptible) model based on the correlation characteristics of the air railway composite network in mainland China. Furthermore, this study also puts forward a broken-edge decision-making strategy for the purpose of making decision about the edge efficiently broken and avoiding the second outbreak of the virus spread to minimize the economic losses for railway and civil aviation companies. Finally, simulation results demonstrate that the proposed strategy can effectively control the spread of the virus with minimal economic losses.
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