Article(id=1318999695339405411, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2025.06.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1735056000000, receivedDateStr=2024-12-25, revisedDate=1752768000000, revisedDateStr=2025-07-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1792403633197, onlineDateStr=2026-10-19, pubDate=1765296000000, pubDateStr=2025-12-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792403633197, onlineIssueDateStr=2026-10-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792403633197, creator=13701087609, updateTime=1792403633197, updator=13701087609, issue=Issue{id=1318999663622079298, tenantId=1146029695717560320, journalId=1146123302524792850, year='2025', volume='38', issue='6', pageStart='1', pageEnd='147', issueExtLink='null', onlineDate='null', pubDate='1765296000000', pubDateStr='2025-12-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792403625636, creator='13701087609', updateTime=1792733312669, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320382471334646693, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320382471334646694, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999663622079298, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=125, endPage=131, ext={EN=ArticleExt(id=1318999695549120612, articleId=1318999695339405411, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Metro Train Rescheduling Based on Earthquake Early Warning Information, columnId=1153381654128218984, journalTitle=Urban Rapid Rail Transit, columnName=Operation Management, runingTitle=null, highlight=null, articleAbstract=

In response to seismic events that render certain metro sections impassable or subject to speed restrictions, this study proposes an optimization model for metro train emergency rescheduling based on Earthquake Early Warning (EEW) information. The model proactively adjusts existing train operation plans before the earthquake occurs, upon receiving EEW alerts. It incorporates constraints such as arrival and departure time constraints, headway constraints, rolling stock circulation constraints, and earthquake impact-related constraints. The objective function aims to minimize the deviation between actual and ideal train headways, the number of skipped station stops, and the time trains operate within hazardous zones after the earthquake. A linearization method is used to convert the model into a Mixed-Integer Linear Programming (MILP) formulation. To verify the effectiveness of the proposed model under various earthquake scenarios, a case study is conducted using actual operational data from Line 6 of the Kunming Metro on a typical working day. The results show that the model can generate emergency train rescheduling plans based on EEW information under different earthquake intensities and affected areas. Different rescheduling strategies are adopted depending on the location of the train at the time of receiving the EEW alert. When speed restrictions are imposed due to the earthquake, a greater increase in inter-station running time leads to a more significant impact on train operations.

, authors=Bin XIANG¹, Zhaohui LI¹, Kexin SHI², Yicheng ZHOU², Datian ZHOU³, Yihui WANG², authorsList=Bin XIANG, Zhaohui LI, Kexin SHI, Yicheng ZHOU, Datian ZHOU, Yihui WANG, authorCompany=null, correspAuthors=Kexin SHI, 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=1318999695792390245, articleId=1318999695339405411, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=基于地震预警信息的地铁列车应急调度, columnId=1153381654287602537, journalTitle=都市快轨交通, columnName=运营管理, runingTitle=null, highlight=null, articleAbstract=

针对地震灾害导致部分地铁区间无法通行或限速通行的情况，提出基于地震预警信息的地铁列车应急调度优化模型，根据地震预警信息，在地震发生前提前对既有列车运行计划进行调整，模型考虑了到发时刻约束、安全间隔约束、车底周转约束、地震影响相关约束，目标函数为最小化列车实际间隔与计划间隔偏差、取消停站数量和地震后列车在危险区间运行时间，采用线性化方法将模型转化为混合整数线性规划模型。为证明所提出模型在面对不同地震场景时的有效性，基于昆明地铁6号线某工作日的实际运营数据构建算例进行验证。结果表明：该模型在不同地震烈度、不同地震影响范围时可以基于地震预警信息生成列车应急运行调整方案；列车在接收到地震预警信息时的位置不同，能采取不同的调整措施；地震导致限速时，站间运行时分增加比例越大，对列车运行影响越大。

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向滨，男，本科，高级工程师，从事轨道交通建设管理与科技创新工作，525782347@qq.com

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