Article(id=1281683204985827422, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.05.2004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736438400000, receivedDateStr=2025-01-10, revisedDate=1742659200000, revisedDateStr=2025-03-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1783506688591, onlineDateStr=2026-07-08, pubDate=1748361600000, pubDateStr=2025-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783506688591, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783506688590, creator=13701087609, updateTime=1783506688590, 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=213, endPage=220, ext={EN=ArticleExt(id=1281683205212319839, articleId=1281683204985827422, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Risk field model of freeway exit ramp weaving area, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

In order to improve the accuracy of the risk field model in predicting the lane-changing time of the driver in the weaving area of the freeway exit ramp, firstly, the driver behavior questionnaire survey method was used to cluster the driving style and lane-changing style, and the real vehicle driving test was carried out to obtain the vehicle lane-changing trajectory data and analyzed the risk perception level of different driving styles. Then, the derived traffic environment risk was introduced on the basis of the basic risk field model, and the risk field model was constructed from three aspects: road environment, traffic environment and management control, considering the factors such as driving style and traffic control. Finally, the vehicle lane change simulation control strategy and test were designed by combining the uniform acceleration (CA) motion model and the risk field model. The results show that the motor risk perception coefficients of cautious, ordinary and aggressive driving style drivers are 0.71, 1 and 1.17 respectively, and the distance risk perception coefficients are 0.62, 1 and 1.39 respectively. The risk intensity of driving style cautious type > ordinary type > aggressive type, and the critical lane change distance of driving style cautious type > ordinary type > aggressive type. The management control risk field model predicts that the threshold time of lane change decision for cautious, ordinary and aggressive drivers is 96.2 s, 105.2 s and 114.2 s, respectively, and the error is less than 1.5% compared with the simulation lane change time of 97.4 s, 104.8 s and 113.8 s.

, authors=Liwei HU, Bing LIU, Chen CHEN, Ruijie ZHANG, Zhi HOU, Yu HE, authorsList=Liwei HU, Bing LIU, Chen CHEN, Ruijie ZHANG, Zhi HOU, Yu HE, 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=1281683205472366688, articleId=1281683204985827422, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=高速公路出口匝道交织区风险场模型, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为提高风险场模型对驾驶人在高速公路出口匝道交织区换道时刻预测的准确性，首先，采用驾驶人行为问卷调查法，聚类分析驾驶风格和换道风格，并开展实车驾驶试验，获取车辆换道轨迹数据，分析不同驾驶风格的风险感知水平；然后，在基础风险场模型基础上，引入衍生交通环境风险，并综合考虑驾驶风格和交通管控等因素，从道路环境、交通环境、管理控制3方面构建风险场模型；最后，以匀加速（CA）运动模型与风险场模型结合设计车辆换道仿真控制策略和试验。结果表明：谨慎型、普通型、激进型驾驶风格驾驶人运动风险感知系数分别为0.71、1、1.17，距离风险感知系数分别为0.62、1、1.39；谨慎型驾驶风格驾驶人所受风险强度>普通型>激进型，谨慎型驾驶人临界换道距离>普通型>激进型；管理控制风险场模型预测得到谨慎型、普通型、激进型驾驶人换道决策阈值时刻分别为96.2、105.2、114.2 s，与仿真换道时刻97.4、104.8、113.8 s相比误差小于1.5%。

, authors=胡立伟教授, 刘冰, 陈琛, 张瑞杰, 侯智, 贺雨, authorsList=胡立伟教授, 刘冰, 陈琛, 张瑞杰, 侯智, 贺雨, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=bI7+moL0Q6JrDm+1kl2nog==, magXml=ONj0cROQgP2oDMhDNPg3Tg==, pdfUrl=null, pdf=BwMRPbJ5JdaxMkle3v/w0w==, pdfFileSize=6086733, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=pcBBOfTmIzqDtGaaLm+dog==, mapNumber=null, fund=null)}, authors=[Author(id=1281683205724024933, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281683204985827422, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=liweihukm@kust.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281683205795328103, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281683204985827422, authorId=1281683205724024933, language=EN, stringName=Liwei HU, firstName=Liwei, middleName=null, lastName=HU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming Yunnan 650500, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281683205862436968, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281683204985827422, authorId=1281683205724024933, language=CN, stringName=胡立伟教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=昆明理工大学 交通工程学院，云南 昆明 650500, bio={"content":"

胡立伟（1978—），男，山东潍坊人，博士，教授，主要从事交通安全、城市交通流特性分析及控制理论与方法等方面的研究。E-mail: liweihukm@kust.edu.cn。

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胡立伟（1978—），男，山东潍坊人，博士，教授，主要从事交通安全、城市交通流特性分析及控制理论与方法等方面的研究。E-mail: liweihukm@kust.edu.cn。

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