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Title: ESTIMATION OF INDEPENDENCE OF VEHICLE ARRIVALS AT SIGNALIZED INTERSECTIONS: A MODELLING METHODOLOGY
Accession Number: 00489667
Record Type: Component
Availability: Find a library where document is available Abstract: The assumption of independent vehicle arrivals at traffic signals, such as that in the Poisson distribution, has been widely used for modelling delay at urban intersections. The degree of correlation among vehicles determines whether this convenient assumption of independence is realistic. Collection of vehicle headways seems to be the only well-known method by which an estimate of their autocorrelation can be found. This, however, is a tedious and time-consuming task. To cope with this problem, an effective methodology using a discrete model for estimating the degree of interaction among vehicles under given traffic and geometric conditions is proposed in the present study. As an example of this technique's usefulness, a model is proposed and estimated, using information collected from 40 locations. Preliminary results appear to confirm the strength and applicability of the proposed method even though the developed model is constrained by the limited available data.
Supplemental Notes: This paper appears in Transportation Research Record No. 1194, Traffic Flow Theory and Highway Capacity. 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 #: 01413996
Authors: Chang, Gang-LenWilliams, James CPagination: p. 42-47
Publication Date: 1988
Serial: ISBN: 030904765X
Features: Figures
(1)
; References
(19)
; Tables
(2)
TRT Terms: Uncontrolled Terms: Old TRIS Terms: Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory
Files: TRIS, TRB, ATRI
Created Date: Nov 30 1989 12:00AM
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