Article(id=1309639526075691303, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639513614414014, articleNumber=null, orderNo=null, doi=10.19822/j.cnki.1671-6329.20260083, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171994942, onlineDateStr=2026-09-23, pubDate=1785859200000, pubDateStr=2026-08-05, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171994942, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171994942, creator=13701087609, updateTime=1790171994942, updator=13701087609, issue=Issue{id=1309639513614414014, tenantId=1146029695717560320, journalId=1189645257101713411, year='2026', volume='', issue='8', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1785859200000', pubDateStr='2026-08-05', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171991971, creator='13701087609', updateTime=1790233588708, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309897869121913162, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639513614414014, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309897869121913163, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639513614414014, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=27, endPage=36, ext={EN=ArticleExt(id=1309639526297989416, articleId=1309639526075691303, tenantId=1146029695717560320, journalId=1189645257101713411, language=EN, title=Research on In-Service Monitoring and Reporting for Post-Deployment Safety Governance of Automated Driving Systems, columnId=1309639514595881152, journalTitle=Automotive Digest, columnName=Special Topic on Security Verification and Evaluation of Intelligent Connected Vehicles, runingTitle=null, highlight=null, articleAbstract=

To address the challenge that the traditional static type approval model struggles to accommodate the full lifecycle safety governance of Automated Driving Systems (ADS), which are characterized by continuous software iteration, complex operational environments, and dynamic evolution of AI models, the paper constructs an In-Service Monitoring and Reporting (ISMR) mechanism and its implementation pathway based on institutional analysis and pilot practices. Employing normative analysis and mechanism design methods, a enterprise-side implementation mechanism covering operational data acquisition, data governance, safety analysis, monitoring reporting and safety improvement is proposed. Furthermore, a government-enterprise collaborative governance framework featuring "rule supply, operational execution, and evidence feedback" is established, alongside an event-triggered post-deployment safety assessment framework. The results demonstrate that the proposed mechanism, centered on operational evidence, effectively supports the continuous safety assurance of ADS. It enables the ongoing identification, analysis, and closed-loop mitigation of operational risks while providing a basis for the dynamic updating of safety cases.

, authors=Zhen Chen¹, Qiang Yang², Juntao Chen³, authorsList=Zhen Chen, Qiang Yang, Juntao Chen, 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=1309639526671282473, articleId=1309639526075691303, tenantId=1146029695717560320, journalId=1189645257101713411, language=CN, title=自动驾驶系统部署后安全治理中的在用监测与报告机制研究, columnId=1309639514876899522, journalTitle=汽车文摘, columnName=智能网联汽车安全验证与评估专题, runingTitle=null, highlight=null, articleAbstract=

针对自动驾驶系统（ADS）软件持续迭代、运行环境复杂及AI模型动态演化等特征导致传统静态型式批准模式难以适配全生命周期安全治理需求的挑战，基于制度分析与试点实践，构建面向ADS部署后安全治理的在用监测与报告（ISMR）机制及其实现路径。采用规范分析与机制设计方法，提出了覆盖运行数据获取、数据治理、安全分析、监测报告和安全改进的企业侧实施机制；构建了“规则供给-运行执行-证据反馈”的政企协同治理框架；设计了事件触发的部署后安全评估框架。研究表明，该机制以运行证据为核心，能够有效支撑ADS的持续安全保证，实现对运行风险的持续识别、分析与闭环处置，并为安全档案的动态更新提供依据。

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