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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v2i4.507</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Traffic Big Data in the Development of Intelligent Transportation System</title><url>https://artdesignp.com/journal/JERA/2/4/10.26689/jera.v2i4.507</url><author>ShiQiang,wangLei,WangTaojie</author><pub-date pub-type="publication-year"><year>2018</year></pub-date><volume>2</volume><issue>4</issue><history><date date-type="pub"><published-time>2018-12-19</published-time></date></history><abstract>With the continuous development and advancement of computer technology, big data guarantees the establishment of an urban intelligent transportation system, a solid environmental basis to reform its application, and the construction of a deeply integrated data mechanism for big data-driven traffic management. This review paper briefly elaborates on the basic characteristics and sources of traffic big data as well as expound on the problems and application mechanisms of big data in intelligent transportation systems.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Lu Huapu, Sun Zhiyuan, Qu Wencong et al. Overview of Big Data and Its Application in Urban Intelligent Transportation Systems[J]. Journal of Transportation Systems Engineering and Information, 2015, 15(5): 45-52.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wen Huimin, Quan Yuxiang, Sun Jianping. The development direction of urban intelligent transportation system in the era of big data [J]. Urban Transport, 2017, 15 (5): 20-25.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang Bin, Chen Guodong. Overview of the development of intelligent transportation systems based on big data [J]. Digital World, 2018 (5): 509-510.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Cao Bo, Han Yanbo, Wang Guiling et al. Accompanying vehicle group discovery method based on license plate recognition big data[J]. Journal of Computer Applications, 2015, 35(11): 3203-3207.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Wei Yongqing, E Fei, Qiao Rui et al. Application and platform construction of intelligent transportation system under the background of big data[J]. Science and Technology Innovation and Application, 2018(16): 171-172.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Zhuang Lijian, Song Jiayu, Duan Zhongyuan et al. Research on taxi operating characteristics based on floating car data mining[J]. Urban Transport, 2016, 14(1): 59-64.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Lu Junxian, Zhu Jingyu. Research and implementation of highway toll gate traffic early warning support system based on mobile phone and traffic data [J]. Science and Technology Innovation and Application, 2018 (20): 1-4.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
