• DocumentCode
    3781862
  • Title

    Analysis for Large Passenger Flow Area and Monitoring Technology

  • Author

    Li Shengguang;Tan Lin;Zhao Shiewei;Zhou Qianli

  • Author_Institution
    First Res. Inst. of the Minist. of Public Security, Beijing, China
  • fYear
    2015
  • Firstpage
    1577
  • Lastpage
    1581
  • Abstract
    Large public spaces have ushered in a large number of daily passenger groups, the public safety faces great pressure. This article focuses on analyzing how to use the Internet of things sensing technology such as video analysis tools, mobile network data, social data and other means, to monitor real-time dynamics flow, speed and density information of large passenger. Then this article discusses the big data analysis and operation of large passenger flow monitoring, so as to establish the early warning system and complete emergency plan.
  • Keywords
    "Monitoring","IEEE 802.11 Standard","Real-time systems","Histograms","Mobile communication","Big data","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
  • Type

    conf

  • DOI
    10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.286
  • Filename
    7518467