基于SIR模型的大面积航班延误传播研究
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  • 英文篇名:Study on Large-scale Flight Delay Propagation Based on Infectious Diseases Model
  • 作者:王晶华 ; 张兆宁 ; 马兰
  • 英文作者:WANG Jing-hua;ZHANG Zhao-ning;MA Lan;College of Air Traffic Management,Civil Aviation University of China;
  • 关键词:大面积航班延误 ; 传染病模型 ; 传播规律 ; Runge-Kutta方法
  • 英文关键词:large-scale flight delay;;SIR model;;propagation law;;Runge-Kutta method
  • 中文刊名:HKJJ
  • 英文刊名:Aeronautical Computing Technique
  • 机构:中国民航大学空中交通管理学院;
  • 出版日期:2017-11-25
  • 出版单位:航空计算技术
  • 年:2017
  • 期:v.47;No.201
  • 基金:国家自然科学基金项目资助(71701202)
  • 语种:中文;
  • 页:HKJJ201706010
  • 页数:4
  • CN:06
  • ISSN:61-1276/TP
  • 分类号:45-48
摘要
多年来大面积航班延误为航空运输带来了安全隐患和巨大的经济损失,有必要深入研究大面积航班延误的相关理论,为其防控提供决策依据。基于传染病(SIR)模型的基本思想和航班状态的转化,建立了大面积航班延误传播模型,运用四阶五级龙格-库塔法对模型进行数值求解,并对延误传播参数和消散参数进行了讨论,结果表明,该模型可以客观反映出大面积航班延误传播的动态过程和变化规律,并可为其预防和恢复提供理论依据。
        Over the years,the large-scale flight delay hascaused hidden danger and resulted in serious economic losses to the air transportation,therefore it is necessary to study the correlative theories of it and to provide a basis forits prevention and controlling. Based on the basic idea of the transmission of infectious diseases model,a large-scale flight delay propagation model in a specific airspace considering transition among flight statesis established. Runge-Kutta method is used to achieve a numerical solution and an analyzation of both propagation parameter and elimination parameter. It is proved that this model could objectively reflect the dynamic process and change regulation of the large-scale flight delay propagation.
引文
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