• DocumentCode
    2963701
  • Title

    Improving traffic estimation and prediction through dynamic traffic assignment development

  • Author

    Chang, Edmond Chin-Ping

  • Author_Institution
    Oak Ridge Nat. Lab., TN, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    1313
  • Abstract
    The FHWA R&D initiated a dynamic traffic assignment (DTA) research project in 1994 to meet these data needs and to address complex traffic control and management issues in the information-based, dynamic ITS environment. Under this project, Oak Ridge National Laboratory (ORNL) was designated as the manager for the development of a deployable, real-time traffic estimation and prediction system (TrEPS) as well as an offline, planning version (TrEPS-P). In October 1995, two contracts were awarded to teams from the University of Texas at Austin (UTX) and the Massachusetts Institute of Technology (MIT) to develop these systems for use in ITS environments. To date, four sets of products have been developed, laboratory experiment completed, and the systems are being deployed.
  • Keywords
    automated highways; road traffic; traffic engineering computing; Massachusetts Institute of Technology; Oak Ridge National Laboratory; University of Texas; dynamic traffic assignment development; traffic control; traffic estimation; Communication system traffic control; Environmental management; Intelligent transportation systems; Laboratories; Predictive models; Project management; Real time systems; Surveillance; Telecommunication traffic; Traffic control;
  • 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.2004.1297137
  • Filename
    1297137