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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2013  >  42(6): 806-816

WANG Pu, HUANG Zhi-ren, GONG Hang. Transportation Engineering in the Big Data Era[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 806-816. doi: 10.3969/j.issn.1001-0548.2013.06.002
Citation: WANG Pu, HUANG Zhi-ren, GONG Hang. Transportation Engineering in the Big Data Era[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 806-816. doi: 10.3969/j.issn.1001-0548.2013.06.002
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Transportation Engineering in the Big Data Era

doi: 10.3969/j.issn.1001-0548.2013.06.002
  • 1.

    School of Traffic and Transportation Engineering,Central South University Changsha 410075;

  • 2.

    School of Software,Central South University Changsha 410075

  • Received Date: 2013-10-15
  • Rev Recd Date: 2013-11-01
  • Publish Date: 2013-12-15
  • Faced with severe traffic congestions, the level of traffic planning and organization has been paid much attention. As a crucial and fundamental data for traffic planning and traffic organization, travel demand has been an important research topic for a long time. Stepping into the big data era, the fast developments in the research fields of human mobility and complex network offer new methodologies for predicting travel demand and improving transportation networks. In this paper, we review the important works in the areas of human mobility and transportation network, discuss the potential opportunities which bring to transportation engineering, and finally introduce a new interdisciplinary study of the two research areas.
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Transportation Engineering in the Big Data Era

doi: 10.3969/j.issn.1001-0548.2013.06.002
  • 1. School of Traffic and Transportation Engineering,Central South University Changsha 410075;
  • 2. School of Software,Central South University Changsha 410075
  • Received Date: 2013-10-15
  • Rev Recd Date: 2013-11-01
  • Publish Date: 2013-12-15

Abstract: Faced with severe traffic congestions, the level of traffic planning and organization has been paid much attention. As a crucial and fundamental data for traffic planning and traffic organization, travel demand has been an important research topic for a long time. Stepping into the big data era, the fast developments in the research fields of human mobility and complex network offer new methodologies for predicting travel demand and improving transportation networks. In this paper, we review the important works in the areas of human mobility and transportation network, discuss the potential opportunities which bring to transportation engineering, and finally introduce a new interdisciplinary study of the two research areas.

WANG Pu, HUANG Zhi-ren, GONG Hang. Transportation Engineering in the Big Data Era[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 806-816. doi: 10.3969/j.issn.1001-0548.2013.06.002
Citation: WANG Pu, HUANG Zhi-ren, GONG Hang. Transportation Engineering in the Big Data Era[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(6): 806-816. doi: 10.3969/j.issn.1001-0548.2013.06.002
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