• DocumentCode
    3721496
  • Title

    Research on metro lines material consumption based on stochastic time series

  • Author

    Cheng Wang; Zikui Lin

  • Author_Institution
    Beijing Jiaotong University, School of Economics and Management, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the improvement of city public transportation and economic development, the rapid development of urban rail transit makes the subway an increasingly important role. This paper analyzes the metro line and the metro line materials to study the consumption laws of metro line materials. Based on stochastic time series, this paper constructed metro line operation and maintenance of material consumption law model, first using the MATLAB mathematical software trend curve fitting material consumption; reuse Markov probability matrix material consumption prediction methods analyze data fluctuating around the trend curve changes law. Finally, the Beijing subway line fastener accessories as an example to empirical analysis.
  • Keywords
    "Market research","Public transportation","Time series analysis","Predictive models","Analytical models","Curve fitting","Markov processes"
  • Publisher
    ieee
  • Conference_Titel
    Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/LISS.2015.7369777
  • Filename
    7369777