• DocumentCode
    926642
  • Title

    Freeway-traffic data processing

  • Author

    Nahi, Nasser E.

  • Author_Institution
    University of Southern California, Los Angeles, Calif.
  • Volume
    61
  • Issue
    5
  • fYear
    1973
  • fDate
    5/1/1973 12:00:00 AM
  • Firstpage
    537
  • Lastpage
    541
  • Abstract
    Two basic data processing problems associated with freeway traffic are formulated: estimation of traffic variables (section mean speed and density) and detection of occurrence of an incident or accident within a given section of the road. The existing traffic sensors and the current estimation techniques and their shortcomings are reviewed. Stochastic models for traffic variables are developed and used to design optimum recursive estimators. The incident detection problem is introduced as a potential area where many interesting research topics exist.
  • Keywords
    Aggregates; Data processing; Detectors; Infrared sensors; Magnetic sensors; Optical sensors; Radar detection; Roads; Traffic control; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/PROC.1973.9109
  • Filename
    1451039