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.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network


    Beteiligte:
    Hui Sun (Autor:in) / Yicong Qin (Autor:in) / Zhicheng Mu (Autor:in) / Rui Wang (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Safety Decision Making for the Railway

    Sharpe, Andrew | Springer Verlag | 2004


    Broken Rail Detection System for Railway Systems

    KULL ROBERT C | Europäisches Patentamt | 2016

    Freier Zugriff

    Broken rail detection system for railway systems

    KULL ROBERT C | Europäisches Patentamt | 2017

    Freier Zugriff

    Railway Track Quality Assessment and Related Decision Making

    Jovanovic, S. / American Railway Engineering & Maintenance of Way Association | British Library Conference Proceedings | 2006


    A broken rail accident on an English railway

    Engineering Index Backfile | 1896