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Title: DEVELOPMENT OF FREEWAY INCIDENT-DETECTION ALGORITHMS BY USING PATTERN-RECOGNITION TECHNIQUES
Accession Number: 00308590
Record Type: Component
Availability: Find a library where document is available Abstract: Two incident-detection experiments were conducted on the Queen Elizabeth Way Freeway Surveillance and Control System in Ontario. A pattern-recognition approach was applied to improve incident-detection algorithms. By considering the true- and false-incident-alarm identification process as pattern-recognition in nature, the maximum-likelihood decision principle was applied to develop an optimum incident-duration persistence test. The false-alarm rate fell from -.09 to 9.96 percent during a nine-month field test experiment. In the second experiment a two-layer committee-machine structure achieved an 85.7 percent detection rate on 28 samples of historical incident data. /Author/
Supplemental Notes: Publication of this paper sponsored by Committee on Freeway Operations. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Monograph Accession #: 01411553
Authors: Tsai, JCase, E RPagination: pp 113-116
Publication Date: 1979
Serial: ISBN: 0309029724
Media Type: Print
Features: Figures
(8)
; References
(4)
; Tables
(1)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Operations and Traffic Management
Files: TRIS, TRB
Created Date: Apr 22 1980 12:00AM
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