DYNAMIC MODEL-BASED TECHNIQUES FOR THE DETECTION OF INCIDENTS ON FREEWAYS

A discussion is presented of an approach to the detection of incidents on freeways. The techniques are based on the use of a macroscopic dynamic model describing the evolution of spatial-average traffic variables (velocities, flows, and densities) over sections of the freeway. With such a model as a starting point, the authors develop two incident detection algorithms based on the multiple model and generalized likelihood ratio techniques. A description is given of a new and very simple system for processing raw data from presence-type vehicle detectors to produce estimates of the aggregate variables, which are then in turn used as the input variables to the incident detection algorithms. Simulation results are examined.

  • Corporate Authors:

    Institute of Electrical and Electronics Engineers

    3 Park Avenue, 17th Floor
    New York, NY  USA  10016-5997
  • Authors:
    • Willsky, A S
    • Chow, E Y
    • Gershwin, S B
    • Greene, C S
    • Kurkjian, A L
    • HOUPT, P K
  • Publication Date: 1980-6

Media Info

  • Features: References;
  • Pagination: p. 347-360
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00325055
  • Record Type: Publication
  • Source Agency: Engineering Index
  • Files: TRIS
  • Created Date: May 21 1981 12:00AM