Article(id=1318999866534114042, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999703161782439, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2025.04.015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1737043200000, receivedDateStr=2025-01-17, revisedDate=1741017600000, revisedDateStr=2025-03-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1792403674013, onlineDateStr=2026-10-19, pubDate=1754755200000, pubDateStr=2025-08-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792403674013, onlineIssueDateStr=2026-10-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792403674013, creator=13701087609, updateTime=1792403674013, updator=13701087609, issue=Issue{id=1318999703161782439, tenantId=1146029695717560320, journalId=1146123302524792850, year='2025', volume='38', issue='4', pageStart='1', pageEnd='159', issueExtLink='null', onlineDate='null', pubDate='1754755200000', pubDateStr='2025-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792403635062, creator='13701087609', updateTime=1792733364265, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320382687735558277, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999703161782439, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320382687735558278, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999703161782439, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=110, endPage=116, ext={EN=ArticleExt(id=1318999866718663419, articleId=1318999866534114042, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Optimization of Overspeed Protection Control Strategy for Automatic Train Control System in Low: Adhesion Environment, columnId=1152669334582243706, journalTitle=Urban Rapid Rail Transit, columnName=Electrical and Mechanical Engineering, runingTitle=null, highlight=null, articleAbstract=

Under inclement weather conditions such as rain and snow, the wheel-rail adhesion characteristics of urban rail transit systems significantly deteriorate, posing failure risks to the overspeed protection function of Automatic Train Control (ATC) systems. To enhance the global robustness of ATC systems, this study investigates optimization strategies for ATC overspeed protection control under low-adhesion conditions. First, the operational mechanism of ATC overspeed protection is systematically analyzed through the Safety Braking Model, Guaranteed Emergency Braking Rate (GEBR), and adhesion braking principles. Second, by examining the mismatch between the rigid GEBR setting in engineering practice and the stochastic fluctuation of adhesion coefficients in actual operations, this research reveals a chain failure mechanism: “adhesion degradation→braking performance reduction→GEBR dynamic mismatch→safety threshold breach in braking distance”. Finally, a MATLAB-based simulation model integrating dynamic wheel-rail adhesion characteristics is developed for ATC overspeed protection, with validation through specific accident cases. Results demonstrate that compared with existing rain-snow mode protection strategies, the proposed multi-objective collaborative optimization dynamic control strategy achieves refined coordination of GEBR values and system ceiling speed, effectively balancing train braking safety and system operational efficiency in low-adhesion environments.

, authors=Hongliang PAN^{1, 2}, Minda SUN^{2, 3}, Di LI^{2, 3}, Yuanqiao LIN^{2, 3}, Jianjun YUAN^{1, 2}, authorsList=Hongliang PAN, Minda SUN, Di LI, Yuanqiao LIN, Jianjun YUAN, 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=1318999866978710268, articleId=1318999866534114042, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=低黏着环境下ATC系统超速防护控制策略优化, columnId=1152669334955536763, journalTitle=都市快轨交通, columnName=机电工程, runingTitle=null, highlight=null, articleAbstract=

在雨雪等恶劣天气条件下，城市轨道交通轮轨界面黏着特性显著劣化，导致列车自动运行控制（automatic train control，ATC）系统的超速防护功能存在失效风险。为增强ATC系统的全局稳健性，针对低黏着环境下ATC超速防护控制策略优化问题开展研究。首先，基于安全制动模型、可保证紧急制动率（guaranteed emergency braking rate，GEBR）和黏着制动机理，系统解析ATC系统超速防护功能的作用过程。其次，通过分析工程实践中GEBR值的刚性设定模式与实际运营中黏着系数随机波动之间的失配矛盾，揭示“黏着衰减→制动效能下降→GEBR动态失配→制动距离突破安全阈值”的链式失效路径。最后，基于MATLAB平台构建融合轮轨动态黏着特性的ATC超速防护仿真模型，并通过具体事故案例验证模型有效性。研究结果表明：相较于既有系统的雨雪模式防护策略，本文提出的多目标协同优化动态控制策略能够实现GEBR值和系统顶篷速度的精细化协同调控，有效平衡低黏着环境下列车制动安全与系统运行效率。

, authors=潘洪亮^{1, 2}, 孙敏达^{2, 3}, 李迪^{2, 3}, 林源峤^{2, 3}, 袁建军^{1, 2}, authorsList=潘洪亮, 孙敏达, 李迪, 林源峤, 袁建军, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=48E82IFcsR9DkC1ekVkHhA==, magXml=6tvKVT0DT+/jmxeal07jvA==, pdfUrl=null, pdf=1itp2B3Xg3cra6Uc1xGqpA==, pdfFileSize=1607174, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=DixX6M2F+54thaRy9aYynw==, mapNumber=null, fund=null)}, authors=[Author(id=1318999867398140679, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1318999866534114042, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=panhongliang@tongji.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1318999869075862282, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1318999866534114042, authorId=1318999867398140679, language=EN, stringName=Hongliang PAN, firstName=Hongliang, middleName=null, lastName=PAN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1.National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804
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潘洪亮，男，博士，副研究员，研究方向为轨道交通列车运行控制和安全防护，panhongliang@tongji.edu.cn

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潘洪亮，男，博士，副研究员，研究方向为轨道交通列车运行控制和安全防护，panhongliang@tongji.edu.cn

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