• DocumentCode
    411579
  • Title

    Using ITS data to manage transportation infrastructure

  • Author

    Chang, Edmond Chin-Ping

  • Author_Institution
    ITS Program, Oak Ridge Nat. Lab., TN, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    21-23 March 2004
  • Firstpage
    486
  • Abstract
    In recent years, a number of large cities have employed intelligent transportation system (ITS) methods to reduce traffic congestion. Under the sponsorship of the ITS Joint Program Office (JPO), Oak Ridge National Laboratory (ORNL) has developed a metropolitan ITS infrastructure deployment tracking system. The purpose of this system is to provide Federal Highway Administration (FHWA) and JPO with an assessment of the level of deployment of the components of the intelligent transportation infrastructure (ITI). Detailed data on the amount, place, benefits, and cost of the deployment of the urban ITI have been gathered for seventy-eight (78) of the largest urban areas, with the population over 50,000 or more. This paper describes an innovative study, using various data mining and data archiving techniques, to assess the operational benefits of advanced traffic management systems to take advantages of the ITS systems and to manage many available ITS infrastructure already in place.
  • Keywords
    data mining; information networks; traffic engineering computing; transportation; Federal Highway Administration; Joint Program Office; ORNL; Oak Ridge National Laboratory; data archiving techniques; data mining techniques; metropolitan intelligent transportation system infrastructure; tracking system; traffic congestion; traffic management systems; Cities and towns; Data mining; Innovation management; Intelligent transportation systems; Internet; Road transportation; Statistics; Traffic control; US Department of Transportation; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2004 IEEE International Conference on
  • ISSN
    1810-7869
  • Print_ISBN
    0-7803-8193-9
  • Type

    conf

  • DOI
    10.1109/ICNSC.2004.1297486
  • Filename
    1297486