Article(id=1308453897568277492, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.03.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1769443200000, receivedDateStr=2026-01-27, revisedDate=1773590400000, revisedDateStr=2026-03-16, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889319078, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889319078, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889319078, creator=13701087609, updateTime=1789889319078, updator=13701087609, issue=Issue{id=1308453882472984927, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='3', pageStart='1', pageEnd='150', issueExtLink='null', onlineDate='null', pubDate='1781020800000', pubDateStr='2026-06-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789889315479, creator='13701087609', updateTime=1789889814158, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308455974147224139, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308455974151418444, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=87, endPage=92, ext={EN=ArticleExt(id=1308453897916404725, articleId=1308453897568277492, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Key Technologies for Cloud-based Signaling System in Urban Rail Transit, columnId=1152669340382966151, journalTitle=Urban Rapid Rail Transit, columnName=Forum of Rapid Rail Transit, runingTitle=null, highlight=null, articleAbstract=

With the rapid advancement of urban rail transit construction in China, the networked layout of lines has been continuously improved, and the demand for intelligent operation has been steadily rising. However, the shortcomings of the existing traditional signaling system in terms of resource utilization and scalability have become increasingly prominent, making it difficult to meet the operational requirements of modern urban rail transit, such as high density, high reliability, and efficient operation and maintenance. In response to this problem, the core purpose of this study is to clarify the development path of the next-generation signaling system empowered by cloud platforms, break through the application bottlenecks of the traditional signaling system, and provide theoretical support and practical reference for the upgrading and iteration of urban rail transit signaling systems. In the research process, the comparative analysis method was adopted to systematically sort out the architectural limitations and application pain points of the traditional signaling system. This study. This study focuses on analyzing the overall architectural composition of the cloud-based signaling system, and proposes targeted architectural design ideas and key technology application schemes for the cloud-based signaling system in in combination with the actual operational needs of urban rail transit. In addition, in-depth research is conducted cloud-based SIL 4 safety technology, safe real-time train-to-ground communication technology, and adaptation technology between traditional signaling service applications and secure cloud platforms. The research results indicate that the cloud-based signaling system can effectively make up for the deficiencies of the traditional signaling system, improve the operational efficiency and maintenance level of the signaling system, and provide strong support for the networked and intelligent development of urban rail transit. The findings provide a useful reference for the design, optimization, and engineering implementation of cloud-based signaling systems, and may support the transition of urban rail transit signaling systems toward cloud-based and intelligent architectures.

, authors=Bin YU¹, Xiaofei GAO², authorsList=Bin YU, Xiaofei GAO, authorCompany=null, correspAuthors=Xiaofei GAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308453898331640822, articleId=1308453897568277492, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=城市轨道交通云信号系统关键技术研究, columnId=1152669340680761737, journalTitle=都市快轨交通, columnName=快轨论坛, runingTitle=null, highlight=null, articleAbstract=

随着我国城市轨道交通建设的快速推进，线路网络化布局不断完善，智能化运营需求持续提升，既有传统信号系统在资源利用率、灵活扩展性等方面的短板日益凸显，已难以适配现代城市轨道交通高密度、高可靠性、高效运维的运营要求。针对此问题，对城市轨道交通云信号系统的架构设计、关键技术进行研究。首先，采用对比分析方法，系统梳理传统信号系统的设计局限与使用痛点，重点剖析云信号系统的整体架构组成，结合城市轨道交通运营实际需求，提出针对性的云信号系统架构设计思路；然后，深入研究支撑系统设计与实施的云化SIL4安全技术、车地安全实时通信技术、传统信号业务应用与安全云平台的适配技术等关键核心技术；最后，结合工程实践数据，总结云信号系统相较传统信号系统的应用优势。研究结果表明：与传统信号系统相比，云信号系统可有效缩短既有线路信号系统改造周期约10%，有效降低全生命周期成本约30%。研究成果可以为城市轨道交通信号系统的升级迭代以及云信号系统的实施应用提供理论支撑与实践参考。

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余斌，男，硕士，高级工程师，从事城市轨道交通规划与管理工作，yubin@hzmetro.com

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余斌，男，硕士，高级工程师，从事城市轨道交通规划与管理工作，yubin@hzmetro.com

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