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Title: APPLICATION OF COUNTING DISTRIBUTION FOR HIGH-VARIANCE URBAN TRAFFIC COUNTS
Accession Number: 00378815
Record Type: Component
Availability: Find a library where document is available Abstract: This paper describes an application of the negative binomial counting distribution to high-variance, short-period traffic counts collected on urban arterial roads during peak-period flow conditions. The data were collected at four sites downstream from signalized intersections in metropolitan Melbourne, Australia, during 1977-1978. Alternative parameter estimation techniques are described as well as a simple method for dealing with transient traffic demand patterns. The results of these comparative evaluations suggest that the negative binomial distribution can be applied quite simply to commonly occurring problems that involve high-variance traffic counts and that results are often markedly better than those for other elementary counting distributions such as the Poisson distribution. (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-036 182
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Ritchie, Stephen GEditors: Kassabian, NaomiPagination: pp 27-33
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
(4)
; References
(19)
; Tables
(2)
TRT Terms: Old TRIS Terms: Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory
Files: HSL, TRIS, TRB, ATRI
Created Date: Dec 30 1984 12:00AM
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