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Title: INCIDENT-DETECTION ALGORITHMS. PART 2. ON-LINE EVALUATION
Accession Number: 00308582
Record Type: Component
Availability: Find a library where document is available Abstract: Five algorithms were evaluated on-line by using the facilities of the Traffic Systems Center of the Illinois Department of Transportation. Three of the algorithms developed by Technology Services Corporation (TSC), were of a pattern-recognition nature. The other two--a pattern-recognition and a probabilistic or Bayesian algorithm--were developed locally. Thresholds for the features used in each of the pattern-recognition algorithms were developed by TSC. The thresholds for the probabilistic algorithm were developed by using accident data on the Eisenhower Expressway. The measures of effectiveness in the evaluation were detection rate, false-alarm rate, and mean-time-to-detect. The three TSC algorithms were evaluated twice on the Eisenhower Expressway at the 80 and 90 percent levels of detection thresholds, and then problem areas showing high false-alarm rates were represented by the 50 percent level. The three TSC algorithms were then evaluated on a section of the Dan Ryan Expressway that was free of geometric problems, for comparison purposes. Statistical analysis showed no difference in detection rate, false-alarm rate, and mean-time-to-detect among the three TSC algorithms at any of the evaluated detection levels. Introduction of the 50 percent level improved certain measures of effectiveness. Algorithm 7, the best of the TC algorithms, showed overall superiority to the two local algorithms. The false-alarm rate was shown to be related to geometric and other features of the problem areas and yielded algorithm 8, which uses a shock wave-suppressor mechanism and requires the least effort in developing appropriate thresholds. /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: Levin, MosheKrause, Gerianne MBudrick, James APagination: pp 58-64
Publication Date: 1979
Serial: ISBN: 0309029724
Media Type: Print
Features: Figures
(10)
; Maps; Tables
(13)
TRT Terms: Uncontrolled Terms: Old TRIS Terms: Subject Areas: Data and Information Technology; Economics; Highways; Operations and Traffic Management
Files: TRIS, TRB
Created Date: Apr 22 1980 12:00AM
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