Article(id=1242134415237784144, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242134390566887892, articleNumber=null, orderNo=16, doi=10.3981/j.issn.1000-7857.2016.2.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1439740800000, receivedDateStr=2015-08-17, revisedDate=1452096000000, revisedDateStr=2016-01-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1454555982870, onlineDateStr=2016-02-04, pubDate=1453910400000, pubDateStr=2016-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1454555982870, onlineIssueDateStr=2016-02-04, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077522330, creator=sys-migrate, updateTime=1774077522330, updator=sys-migrate, issue=Issue{id=1242134390566887892, tenantId=1146029695717560320, journalId=1146031591421210625, year='2016', volume='34', issue='2', pageStart='1', pageEnd='332', issueExtLink='null', onlineDate='null', pubDate='1453910400000', pubDateStr='2016-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077516449, creator='sys-migrate', updateTime=1774077516449, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=71, endPage=75, ext={EN=ArticleExt(id=1242134422124831357, articleId=1242134415237784144, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Analysis of contributing factors on heavy-duty truck accidents in long downgrade road sections, columnId=1150494642224591153, journalTitle=Science & Technology Review, columnName=Exclusive, runingTitle=null, highlight=null, articleAbstract=Long downgrade road sections are dangerous parts for heavy-duty truck accidents. Most of current researches on heavy-duty truck accidents are focused on the speeding of truck, which ignore other factors (weather, vehicle types, driver attribute, etc.). Through analysis of accident data in long downgrade sections of Luofu Freeway in Yunnan Province, the effects of weather, vehicle types, driver attribute, etc. on heavy-duty truck accidents are studied in this paper. First, descriptive statistical analysis method is used to study the accident distribution of different factors. Then using K-mean clustering method, the factors are divided into three clusters based on their effects on accident severity (accident number, occupant injuries, and deaths). The study results show that non-local trucks, 6-axle trucks and 00:00-07:59 are the most important factors on accident severity in long downgrade road sections; fog, rain and low temperature have little effects on accidents in long downgrade road sections. The study results may be used as a reference basis to improve heavy-duty truck transportation safety in long downgrade road sections., authors=LI Haoran^1,2, PENG Liqun^1,2, WU Chaozhong^1,2, CHU Duanfeng^1,2, authorsList=LI Haoran, PENG Liqun, WU Chaozhong, CHU Duanfeng, authorCompany=1. Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, China;
2. Engineering Research Center of Transportation Safety, Ministry of Education; Wuhan University of Technology, Wuhan 430063, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Kdm7yH8CgUw0B3eMFeFF7g==, pdfFileSize=1660756, 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=1242134421093032567, articleId=1242134415237784144, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于聚类分析的重型载货车辆长大下坡路段交通事故分析, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=长大下坡路段是重型载货车多发事故区域。当前针对重型载货车发生事故的研究大都集中在车辆超速方面,忽略了车型、天气、驾驶人特性等因素。本文通过分析云南罗富高速公路某长大下坡路段在2012 年内的重型载货车事故数据,研究车型、天气、驾驶人特性等因素对重型载货车事故的影响。统计分析了不同因素影响下重型货车在长大下坡路段发生事故数的分布规律;然后利用K 均值聚类算法,依据不同因素造成的事故严重程度(事故量、受伤人数、死亡人数),将所有的因素分为3 类。研究结果显示,外地车辆、六轴车和在00:00-07:59 时段发生交通事故的严重程度最重,而有雾、有雨和低温对事故的影响很小。, authors=李浩然^1,2, 彭理群^1,2, 吴超仲^1,2, 褚端峰^1,2, authorsList=李浩然, 彭理群, 吴超仲, 褚端峰, authorCompany=1. 武汉理工大学智能交通系统研究中心, 武汉 430063;
2. 武汉理工大学水路公路交通安全控制与装备教育部工程研究中心, 武汉 430063, correspAuthors=null, authorNote=李浩然,博士研究生,研究方向为事故数据分析、驾驶行为,电子信箱:haoranli@whut.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=8CDMwETgtFHvYt+Sy2uqsw==, pdfFileSize=1660756, 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=国家科技支撑计划(2014BAG01B03);国家自然科学基金项目(51105286);中央高校基本科研业务费专项(2014-IV-137);北京市重点实验室开放基金项目(KFJJ-201401);同济大学道路与交通工程教育部重点实验室开放基金项目(K201301);交通运输部科技计划项目(2014364223150))}, authors=null, keywords=[Keyword(id=1242134420719739505, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242134415237784144, language=CN, orderNo=1, keyword=交通事故), Keyword(id=1242134420795236978, tenantId=1146029695717560320, journalId=1146031591421210625, 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