Article(id=1282030091731440449, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.0852, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1741881600000, receivedDateStr=2025-03-14, revisedDate=1747497600000, revisedDateStr=2025-05-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589392836, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589392836, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589392835, creator=13701087609, updateTime=1783589392835, updator=13701087609, issue=Issue{id=1282030021623657005, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='8', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='1756310400000', pubDateStr='2025-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589376121, creator='13701087609', updateTime=1783589731222, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031511155228698, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031511155228699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=219, endPage=226, ext={EN=ArticleExt(id=1282030093568545602, articleId=1282030091731440449, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Comprehensive risk evaluation of interchange ramp area traffic based on real vehicle driving data, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

In order to evaluate comprehensive driving risk in interchange ramp areas, a real-vehicle test was conducted on Chongqing interchange groups, focusing on three typical ramps: right-turn directional, left-turn semi-directional, and small-radius loop ramps. Drivers' electrocardiographic data and vehicle operation status were collected by PhysioLAB and Speedbox, respectively, when passing through ramps. Psychological load and vehicle operation risks of the three ramps were analyzed, and an improved entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) method was used to construct and evaluate a comprehensive driving risk model. Results show four HRI change patterns: convex curve, continuous increase, continuous decrease and concave curve. Heart Rate Increase (HRI) in right-turn directional ramps first decreases, then increases, in left-turn semi-directional ramps, it first increases, then decreases near diverging/merging points, in small-radius loop ramps, it fluctuates significantly there. Vehicle operation risk is highest in ramp sections, increasing with smaller radii. The level of vehicle operation risk is small-radius loop ramp greater than left-turn semi-directional ramp, greater than right-turn directional ramp. Comprehensive driving risk peaks in ramp sections, widely distributed in split/confluence areas and peaking shortly after diversion points.

, authors=Yue ZHANG¹, Shi ZHANG¹, Weijian DUAN², Xinglin ZHU³, Jin XU^{**, 3}, authorsList=Yue ZHANG, Shi ZHANG, Weijian DUAN, Xinglin ZHU, Jin XU, authorCompany=null, correspAuthors=Jin XU, 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=1282030094122193733, articleId=1282030091731440449, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于实车驾驶数据的互通立交匝道区行车综合风险评价, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为评价互通立交匝道区行车综合风险，选取重庆市一互通立交群开展以右转定向式匝道、左转半定向式匝道和小半径环圈式匝道的实车驾驶试验，采用PhysioLAB生理检测仪和Speedbox测速仪分别收集驾驶人经过匝道区的心电数据和车辆行驶状态数据。分析3种典型形式匝道的心理负荷和车辆运行风险，采取改进熵权逼近理想解排序（TOPSIS）法构建行车综合风险模型并进行评价。结果表明：驾驶员的心率增长率（HRI）变化呈现出4种模式：凸曲线、连续增加、持续减少、凹曲线。HRI在右转定向式匝道区先降再升，在左转半定向式匝道区的分、合流点前后先升再降，在小半径环圈式匝道区的分、合流点波动较大。车辆运行风险匝道段最大，且匝道半径越小，车辆运行风险越大。车辆运行风险大小为：小半径环圈式匝道大于左转半定向式匝道大于右转定向式匝道。行车综合风险在匝道段最高且分布范围大，在分、合流段分布集中且在分流点后不远处出现最大值。

, authors=张越¹, 张诗¹, 段伟建高级工程师², 朱兴林教授³, 徐进教授^{**, 3}, authorsList=张越, 张诗, 段伟建高级工程师, 朱兴林教授, 徐进教授, authorCompany=null, correspAuthors=徐进教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Tjj+1QG2DCtX0GAA49BVvQ==, magXml=8ggofA7ov+r+nLMbEiY/nQ==, pdfUrl=null, pdf=Jsg74nzEtfmrdHuySc0ofA==, pdfFileSize=9927081, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=JnRAW+XUfM5Xkg+JEMO5Pw==, mapNumber=null, fund=null)}, authors=[Author(id=1282030094591955792, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030091731440449, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1337538097@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282030094667453266, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030091731440449, authorId=1282030094591955792, language=EN, stringName=Yue ZHANG, firstName=Yue, middleName=null, lastName=ZHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹College of Traffic& Transportation, Chongqing Jiaotong University, Chongqing 400074, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282030094738756435, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030091731440449, authorId=1282030094591955792, language=CN, stringName=张越, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹重庆交通大学 交通运输学院，重庆 400074, bio={"content":"

张越（2001—），女，重庆人，硕士研究生，研究方向为道路交通安全。E-mail: 1337538097@qq.com。

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张越（2001—），女，重庆人，硕士研究生，研究方向为道路交通安全。E-mail: 1337538097@qq.com。

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