Article(id=1242138286890754576, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138274907631630, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2020.09.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1585411200000, receivedDateStr=2020-03-29, revisedDate=1587657600000, revisedDateStr=2020-04-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1591326129963, onlineDateStr=2020-06-05, pubDate=1589299200000, pubDateStr=2020-05-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1591326129963, onlineIssueDateStr=2020-06-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078445405, creator=sys-migrate, updateTime=1774078445405, updator=sys-migrate, issue=Issue{id=1242138274907631630, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='9', pageStart='1', pageEnd='116', issueExtLink='null', onlineDate='null', pubDate='1589299200000', pubDateStr='2020-05-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774078442547, creator='sys-migrate', updateTime=1774078442547, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=39, endPage=46, ext={EN=ArticleExt(id=1242138291651293263, articleId=1242138286890754576, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Frontier application of big data for China to build strong transportation network, columnId=1242138284961378345, journalTitle=Science & Technology Review, columnName=Exclusive: Building China's Powerful Transportation, runingTitle=null, highlight=null, articleAbstract=In order to effectively achieve the goal of building China into a country with strong transportation network, this paper explores the role of big data technology, its application methods, and prospects in the fields of transportation management, traffic safety, traffic information service, transportation planning, and public transportation. Some cutting-edge technologies, such as situation awareness(SA) system based on CPS, multimodal transportation knowledge graph(KG) based on dynamic ontology, and intelligent video recognition based on edge computing and deep learning, are covered. The overall big data engineering framework and implementation methods are also analyzed, and relevant application scenarios are provided., authors=HU Qingyong¹, LI Ganshan², PEI Zhongzhe³, authorsList=HU Qingyong, LI Ganshan, PEI Zhongzhe, authorCompany=1. Institute for Data Science, Tsinghua University, Beijing 100084, China;
2. Institute of Road Traffic Management Science and Technology of Yunnan Province, Kunming 650011, China;
3. Netcommander(Beijing) Technology Limited Corporation, Beijing 100101, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=95cdO5PWZZrpnaumDESTuA==, pdfFileSize=2493267, 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=1242138290493665348, articleId=1242138286890754576, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=大数据在交通强国建设中的应用, columnId=1242138279852716059, journalTitle=科技导报, columnName=专题：交通强国建设, runingTitle=null, highlight=null, articleAbstract=探讨了大数据技术在交通强国建设中的作用及在交通管理、交通安全、交通信息服务、交通运输规划、公共交通等领域的应用方法和前景；对基于信息物理系统的交通态势感知系统、基于动态本体论的交通行业多模态知识图谱、基于边缘云计算的智能视频识别等前沿技术的总体架构、实现方法进行了案例分析。, authors=胡庆勇¹, 李淦山², 裴钟哲³, authorsList=胡庆勇, 李淦山, 裴钟哲, authorCompany=1. 清华大学数据科学研究院交通大数据研究中心, 北京 100084;
2. 云南省道路交通管理科学技术研究所, 昆明 650011;
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