Article(id=1308453883043410271, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.03.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755187200000, receivedDateStr=2025-08-15, revisedDate=1765209600000, revisedDateStr=2025-12-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889315615, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889315615, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889315615, creator=13701087609, updateTime=1789889315615, 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=11, endPage=18, ext={EN=ArticleExt(id=1308453883328622945, articleId=1308453883043410271, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Research and Practice on the Evaluation of Artificial Intelligence Large Models in Urban Rail Transit, columnId=1308453883261514080, journalTitle=Urban Rapid Rail Transit, columnName=Artifical Intelligence, runingTitle=null, highlight=null, articleAbstract=

With the rapid development of large AI models, the demand for their application in urban rail transit is increasing rapidly. However, there is still a lack of evaluation standards and methods for large models specific to the urban rail transit industry. To address this, this paper establishes an evaluation system for large models tailored to the urban rail transit industry. This evaluation system covers the construction of evaluation datasets, the design of evaluation dimensions, the selection of evaluation methods, and the formulation of evaluation metrics. Through this system, the performance of urban rail transit large models for urban rail transit in tasks such as language understanding, knowledge reasoning, image-text alignment, and spatiotemporal consistency can be evaluated comprehensively and objectively. Meanwhile, a dedicated evaluation system for large models for urban rail transit is designed and developed, and the effectiveness of the evaluation system is verified through practical application. The verification results show that the established evaluation system can provide an evaluation basis for the optimization and application of large models in urban rail transit, and promote their implementation and application in the urban rail transit industry.

, authors=Fucai HUA¹, Xin SHAO¹, Xiujiang XIA¹, Xiaoyi HAN¹, Wenjun WANG¹, Songwei YU¹, Yue JIANG², authorsList=Fucai HUA, Xin SHAO, Xiujiang XIA, Xiaoyi HAN, Wenjun WANG, Songwei YU, Yue JIANG, authorCompany=null, correspAuthors=null, 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=1308453883634807139, articleId=1308453883043410271, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=城轨领域人工智能大模型评测研究与实践, columnId=1308453883420897634, journalTitle=都市快轨交通, columnName=人工智能, runingTitle=null, highlight=null, articleAbstract=

为解决城轨行业的大模型评测标准和方法问题，构建一套针对城轨行业大模型评测体系。该评测体系涵盖评测数据集的构建、评测维度的设计、评测方法的选择及评测指标的制定。通过这一体系，全面、客观地评估城轨大模型在语言理解、知识推理、图文对齐、时空一致性等任务中的表现。同时，设计研发城轨领域大模型专属评测系统，并通过实际应用验证评测体系的有效性。验证结果表明，所构建的评测体系能够为城轨领域大模型的优化与应用提供评测基础，促进大模型在城轨行业的落地与应用。

, authors=华福才¹, 邵昕¹, 夏秀江¹, 韩晓艺¹, 王文俊¹, 于松伟¹, 蒋玥², authorsList=华福才, 邵昕, 夏秀江, 韩晓艺, 王文俊, 于松伟, 蒋玥, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=5x5Gt0k7exH/ucC4oenGLA==, magXml=1Z5CgxPKOE6CKjJ2jVWemw==, pdfUrl=null, pdf=/YfknrxYSzM4Kp7xnMknNg==, pdfFileSize=1764846, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=+XXS92aasMgZdMyDe6z1vw==, mapNumber=null, fund=null)}, authors=[Author(id=1308453884050043243, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308453883043410271, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=huafc@bjucd.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1308453884163289453, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308453883043410271, authorId=1308453884050043243, language=EN, stringName=Fucai HUA, firstName=Fucai, middleName=null, lastName=HUA, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Beijing Urban Construction Design & Development Group Co., Ltd., Beijing 100037, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1308453884242981230, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308453883043410271, authorId=1308453884050043243, language=CN, stringName=华福才, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．北京城建设计发展集团股份有限公司，北京 100037, bio={"content":"

华福才，男，博士，教授级高级工程师，长期从事隧道及地下工程的设计与科研工作，huafc@bjucd.com

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华福才，男，博士，教授级高级工程师，长期从事隧道及地下工程的设计与科研工作，huafc@bjucd.com

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