Research on Optimization of Passenger Volume Flow Monitoring Through the Metro Network Video Surveillance Technology

  • Yuekun Zhang
  • Feng Xu
  • Tianxiang Mao
  • Bing Han
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)


In order to manage the constantly increasing flow of metro passengers and speed up the response to passenger congestion arising from various emergencies in the metro system, the Beijing Metro Network Administration Co., Ltd. (hereinafter referred to as the “BMNA”) will begin construction of the Metro Network Video Surveillance Center (hereinafter referred to as the “Surveillance Center”). This essay analyzes the characteristics of passenger flow congestion in the metro system and the traditional method of passenger flow density monitoring. Based on the system requirements and initial design of the Metro Network Video Surveillance Center, this essay applies scientific principles and methods to make suggestions to improve the supervisory of passenger flow congestion, by proposing a systematic congestion pre-warning mechanism using refined Video Analytics technology. Its aim is to provide references and support for the establishment of the Surveillance Center in future.


Passenger flow congestion pre-warning Video surveillance Refined video analytics Machine learning Passenger flow density alert threshold setting 


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    This is the CCTV video data of the BMNA TCC system. The left one is line six HuJiaLou Station down direction video screenshot. The left two is the line five CiQiKou station down direction video screenshot. The left three is the line five CiQiKou station down direction video screenshot. The right one is line six HuJiaLou Station on the north side of JinTaiXiZhao station transfer channel video screenshot. The right two is line four CaiShiKou station on the west side of the stairs right transfer video screenshot. The right three is line five Ciqikou station on the south side of the transfer channel video screenshot. All the above video is August 2, 2015Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Yuekun Zhang
    • 1
  • Feng Xu
    • 1
  • Tianxiang Mao
    • 1
  • Bing Han
    • 1
  1. 1.Beijing Metro Network Administration Co., Ltd.BeijingChina

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