• DocumentCode
    633077
  • Title

    CroTIS-Crowdsourcing Based Traffic Information System

  • Author

    Roopa, T. ; Iyer, Anantharaman Narayana ; Rangaswamy, Shanta

  • Author_Institution
    PES IT, Bangalore, India
  • fYear
    2013
  • fDate
    June 27 2013-July 2 2013
  • Firstpage
    271
  • Lastpage
    277
  • Abstract
    Road Traffic congestion is a perennial problem across the globe. The nature of the problems associated with vehicular traffic is not uniform across the globe. In the recent past, several solutions were proposed to improve traffic management. However most of these solutions cater to the traffic scenarios in the developed countries where traffic is lane based and the issues being encountered is quite different from that of developing countries. The existing solutions cannot be readily applied to the traffic situation of developing countries. In this paper, we propose an architecture which addresses the challenges of real time traffic management of non-lane based and chaotic traffic of developing countries. The big data collected for traffic analysis can be used to provide predictive analysis and patterns to enable the Traffic Department to manage the traffic better.
  • Keywords
    road traffic; road vehicles; traffic information systems; CroTIS-crowdsourcing based traffic information system; Traffic Department; chaotic traffic; nonlane based real time traffic management; predictive analysis; road traffic congestion; traffic analysis; vehicular traffic; Cameras; Global Positioning System; Junctions; Mobile communication; Mobile handsets; Roads; Servers; Big data; Crowdsourcing; Intelligent Traffic systems; Smartphone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2013 IEEE International Congress on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5006-0
  • Type

    conf

  • DOI
    10.1109/BigData.Congress.2013.43
  • Filename
    6597147