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2018 | OriginalPaper | Chapter

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

Authors : Yuekun Zhang, Feng Xu, Tianxiang Mao, Bing Han

Published in: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Publisher: Springer Singapore

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Abstract

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.

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Literature
1.
go back to reference This is the CCTV video data of the BMNA TCC system, the picture is nine line QiLiZhuang station up direction August 2, 2015 video screenshot This is the CCTV video data of the BMNA TCC system, the picture is nine line QiLiZhuang station up direction August 2, 2015 video screenshot
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go back to reference Pei GJ (2011) Density estimation and activity analysis of crowds in surveillance videos (in Chinese) Pei GJ (2011) Density estimation and activity analysis of crowds in surveillance videos (in Chinese)
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go back to reference Lin Q (2014) Pedestrian density and abnormal behavior analysis on video (in Chinese) Lin Q (2014) Pedestrian density and abnormal behavior analysis on video (in Chinese)
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go back to reference Yang XG, Teng JY (2010) Transit capacity and quality of service manual, 2nd edn. (in Chinese) Yang XG, Teng JY (2010) Transit capacity and quality of service manual, 2nd edn. (in Chinese)
6.
go back to reference This is the spatial structure diagram of ChongWenMen station in TCC simulation system This is the spatial structure diagram of ChongWenMen station in TCC simulation system
7.
go back to reference 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, 2015 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, 2015
Metadata
Title
Research on Optimization of Passenger Volume Flow Monitoring Through the Metro Network Video Surveillance Technology
Authors
Yuekun Zhang
Feng Xu
Tianxiang Mao
Bing Han
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7986-3_71

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