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 (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 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:
- IEEE Transactions on Automatic Control
- Volume: AC-2
- Issue Number: 3
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Subject/Index Terms
- TRT Terms: Algorithms; Control systems; Freeways; Information processing; Traffic crashes; Traffic simulation; Vehicle detectors
- Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 00325055
- Record Type: Publication
- Source Agency: Engineering Index
- Files: TRIS
- Created Date: May 21 1981 12:00AM