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Title: FREEWAY INCIDENT-DETECTION ALGORITHMS BASED ON DECISION TREES WITH STATES
Accession Number: 00196596
Record Type: Component
Availability: Find a library where document is available Abstract: Incident-detection algorithms are a part of an overall freeway-traffic management system. These algorithms provide indications of the probable presence of freeway incidents by processing electronic surveillance data. In this paper, a class of algorithms that are designed to discriminate patterns in the data peculiar to incidents are described. The generic structure of these algorithms is the decision tree with states, the states corresponding to distinct traffic conditions. Ways to calibrate algorithm thresholds are described and applied to the algorithms. Performance evaluations based on traffic data from the Los Angeles system are presented. /Authors/
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 #: 01411521
Authors: Payne, Howard JTignor, Samuel CPagination: pp 30-37
Publication Date: 1978
Serial: Conference:
57th Annual Meeting of the Transportation Research Board
Location:
Washington District of Columbia, United States ISBN: 0309028272
Media Type: Print
Features: Figures
(7)
; References
(10)
; Tables
(3)
TRT Terms: Old TRIS Terms: Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting
Files: TRIS, TRB
Created Date: Sep 15 1979 12:00AM
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