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

被引：1

作者：

Zhang, Yuekun ^{[1
]}

Xu, Feng ^{[1
]}

Mao, Tianxiang ^{[1
]}

Han, Bing ^{[1
]}

机构：

[1] Beijing Metro Network Adm Co Ltd, 6 Xiaoying North Rd, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT) 2017: ELECTRICAL TRACTION | 2018年 / 482卷

关键词：

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

D O I：

10.1007/978-981-10-7986-3_71

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：701 / 715

页数：15

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