基于云平台架构的城市轨道交通实时客流监测系统
张方冰李金龙曲鸣川
Real-Time Passenger Flow Monitoring System for Urban Rail Transit Based on Cloud Platform Architecture
ZHANG FangbingLI JinlongQU Mingchuan
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作者信息:北京城建设计发展集团股份有限公司，100037，北京
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Affiliation:Beijing Urban Construction Design & Development Group Co., Ltd., 100037, Beijing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.12.022
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中图分类号/CLCN:U293.13
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栏目/Col:研究报告
摘要:
［目的］针对城市轨道交通现有系统无法满足客流数据实时传输的缺点，研究实时客流数据传输、分析、存储的解决方案。［方法］介绍了城市轨道交通客流现状与传统自动售检票系统；从系统架构、数据传输、功能应用等角度对基于云平台架构的城市轨道交通实时客流监测系统进行分析。［结果及结论］基于目前的城市轨道交通云平台架构与自动售检票系统的既有条件，可在不增加终端采集设备、硬件设备和传输能力的情况下，利用现有硬件资源、通信通道实现实时客流数据的传输与处理。利用既有自动售检票系统闸机采集到的票卡数据，在SC(车站计算机)端增加直通路网中心的数据接口，以实现票卡计数数据实时上传至路网中心进行分析处理，即可实现实时客流监测、客流预测、应急决策辅助等业务功能。
Abstracts:
［Objective］ In view of the shortcomings that the existing urban rail transit system unable meeting the requirements for passenger flow data real-time transmission, solutions for real-time passenger flow data transmission, analysis, and storage are studied. ［Method］ Current situation of urban rail transit passenger flow and traditional automatic fare collection (AFC) system are introduced; the real-time passenger flow monitoring system of urban rail transit based on cloud platform architecture is analyzed from the perspectives of system architecture, data transmission, and functional application etc.. ［Result & Conclusion］ Based on the existing conditions of the current urban rail transit cloud platform architecture and AFC system, the transmission and processing of real-time passenger flow data can be realized by using existing hardware resources and communication channels without increasing terminal collection equipment, hardware equipment and transmission capacity. By using the ticket card data collected by AFC gate, a data interface directly connected to the network center is added to the station computer (SC) end, aiming to realize real-time upload of the ticket card counting data to the network center for analysis and processing, thus achieving business functions such as real-time passenger flow monitoring, passenger flow prediction, and emergency decision-making assistance.
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