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Title: RELIABILITY OF CLASSIFIED TRAFFIC COUNT DATA
Accession Number: 00378814
Record Type: Component
Availability: Find a library where document is available Abstract: The reliability of classified traffic count data collected for the planning and operation of highway systems is examined. Manual classified count data are subject to serious errors, whereas automatic vehicle classification with modern microprocessor technology may have other accuracy problems. Accuracy checks carried out in the United Kingdom are described for two automatic classification systems--for simple classification by using inductive loops alone and for detailed classification by using loops and axle detectors in combination. An evaluation of automatic classification equipment, including these simple and detailed systems, has been carried out in the United States by the Maine Department of Transportation. The results of these studies are described. The accuracy of simple vehicle classification based on vehicle length alone is limited by the fundamental properties of inductive-loop sensors. However, at sites with good lane discipline, the accuracy of classification is likely to be sufficient for most routine purposes such as the measurement of passenger-car-equivalent flows. Tests in the United States have shown that the reduced reliability of pneumatic-tube sensors leads to poor classification accuracy when these sensors alone are used for vehicle detection. More detailed vehicle classification methods can give greater accuracy, in excess of 90 percent, but as traffic conditions deteriorate, accuracies reduce. In the detailed classification method, there are difficulties in discriminating between certain cars, vans, and trucks, particularly where lane discipline is poor. Further developments of automatic classification techniques are currently in progress, and improvements are anticipated under urban traffic conditions and in the portability of detailed classification equipment. However, simple classified counters are already available and already have a part to play in displacing unreliable manual counts. Future trends in labor and microprocessor costs are anticipated to be such that as new developments become available, their rapid exploitation will become increasingly attractive. (Author)
Supplemental Notes: Publication of this paper sponsored by Committee on Traffic Flow Theory and Characteristics. 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 #: 00386621
Report/Paper Numbers: HS-036 181
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Davies, PeterSalter, David REditors: Kassabian, NaomiPagination: pp 17-27
Publication Date: 1983
Serial: Conference:
62nd Annual Meeting of the Transportation Research Board
Location:
Washington District of Columbia, United States Media Type: Print
Features: Figures
(8)
; References
(9)
; Tables
(3)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Motor Carriers; Operations and Traffic Management; I71: Traffic Theory
Files: HSL, TRIS, TRB
Created Date: Dec 30 1984 12:00AM
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