Article(id=1281683260312883691, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.05.1534, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736352000000, receivedDateStr=2025-01-09, revisedDate=1741536000000, revisedDateStr=2025-03-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783506701781, onlineDateStr=2026-07-08, pubDate=1748361600000, pubDateStr=2025-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783506701781, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783506701781, creator=13701087609, updateTime=1783506701781, updator=13701087609, issue=Issue{id=1281683189131359212, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='5', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1748361600000', pubDateStr='2025-05-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783506684811, creator='13701087609', updateTime=1783589333681, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282029843684504545, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282029843684504546, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=124, endPage=134, ext={EN=ArticleExt(id=1281683260522598892, articleId=1281683260312883691, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Driving characteristics analysis and collision risk evaluation in expressway agglomerate fog areas, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

In order to reduce the risk of traffic accidents in expressway agglomerate fog environment, the expressway agglomerate fog zone was divided into transition zone and conflict zone, and driving simulation tests were designed and carried out. Firstly, Analysis of Variance(ANOVA)and non-parametric tests were used to analyze the driving behavior in the two zones. Then, Pearson correlation analysis was used to explore the correlation characteristics of the driving behavior indicators between transition zone and conflict zone. Finally, a binary logistic regression model was used to explore the mechanism of the influence of driving behavior on the collision risk. The study shows that: in transition zone, driving experience and visibility change rate have a significant effect on speed standard deviation and inner boundary speed. Compared with novice drivers, experienced drivers have 36.8% lower speed standard deviation and 13.5% higher inner boundary speed. Visibility change rate has a statistically significant difference on speed standard deviation and inner boundary speed. Different visibility change rates correspond to different inner boundary speed and speed standard deviation. In conflict zone, time to collision (TTC) was significantly positively correlated with visibility, and reaction time was significantly negatively correlated with visibility. TTC, reaction time and collision rate were all significantly negatively correlated with the conflict distance. The speed adjustment behavior in the transition zone significantly affects collision risk in conflict zone.

, authors=Fuwei WU^{1, 2}, Yulong LI¹, Yong MA^{**, 2}, Chang WANG^{1, 2}, Zhi ZHANG³, authorsList=Fuwei WU, Yulong LI, Yong MA, Chang WANG, Zhi ZHANG, authorCompany=null, correspAuthors=Yong MA, 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=1281683261025915375, articleId=1281683260312883691, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=高速公路团雾区驾驶特性分析与碰撞风险评价, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为降低高速公路团雾环境下的交通事故风险，将高速公路团雾区划分为过渡区和冲突区，设计并开展驾驶模拟试验。首先，采用方差分析（ANOVA）、非参数检验等方法分析驾驶人在2个区域中的驾驶行为；然后，利用Pearson相关性分析探索过渡区与冲突区之间的驾驶行为指标关联特性；最后，通过二元Logistics回归模型挖掘驾驶行为对碰撞风险的影响机制。结果表明：在过渡区，驾驶经验与能见度变化率对速度标准差和内边界速度有显著影响；相比于新手驾驶人，熟练驾驶人速度标准差降低36.8%，内边界速度高13.5%；能见度变化率对速度标准差和内边界速度有统计学差异，不同能见度变化率对应的内边界速度和速度标准差不同。在冲突区，碰撞时间（TTC）与能见度呈显著正相关，避险反应时间与能见度呈显著负相关；TTC、避险反应时间及碰撞率均与冲突距离呈显著负相关；过渡区速度调整行为会显著影响冲突区的碰撞风险。

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²长安大学 汽车运输安全保障技术交通运输行业重点实验室，陕西 西安 710018, bio={"content":"

吴付威（1986—），男，山东临沂人，博士，高级工程师，主要从事人—车—路系统安全、道路交通运行风险防控理论、智能辅助驾驶等方面的研究。E-mail: wufuwei@chd.edu.cn。

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吴付威（1986—），男，山东临沂人，博士，高级工程师，主要从事人—车—路系统安全、道路交通运行风险防控理论、智能辅助驾驶等方面的研究。E-mail: wufuwei@chd.edu.cn。

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