• DocumentCode
    2235514
  • Title

    Linking automatic incident detection with diversion strategies using MOLA

  • Author

    Strong, Tim ; Harwood, N. ; White, Joanna ; Flint, Andi ; Beale, Stuart

  • Author_Institution
    TRL Ltd., UK
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    This project links two research areas: automatic incident detection (AID) with the provision of diversion route advice to traffic operators using MOLA (motorway online advisor) which was originally developed as a decision support system for tactical traffic control. This paper describes the development of a unique algorithm and considers the issues of detection rate, false alarm rate and time to detection with respect to the application, namely MOLA
  • Keywords
    accidents; computerised monitoring; decision support systems; road traffic; traffic control; traffic engineering computing; MIDAS; MOLA; automatic incident detection; decision support system; diversion route advice; motorway online advisor; tactical traffic control; traffic flow prediction; validation subsystem;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Road Transport Information and Control, 2002. Eleventh International Conference on (Conf. Publ. No. 486)
  • Conference_Location
    London
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-746-2
  • Type

    conf

  • DOI
    10.1049/cp:20020219
  • Filename
    1031639