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Title: MAXIMUM-LIKELIHOOD AND BAYESIAN METHODS FOR THE ESTIMATION OF ORIGIN-DESTINATION FLOWS
Accession Number: 00389958
Record Type: Component
Availability: Find a library where document is available Abstract: The design of traffic management schemes usually requires knowledge of the pattern of trips on the system under scrutiny. This pattern is ordinarily described by an origin-destination (O-D) flow matrix. One common task of this type of matrix is the estimation of flows between the intersection approaches on a stretch of road. Estimation is based on intersection flow counts that are supplemented by a license-plate survey. In this paper a procedure is developed to obtain the most likely O-D flow estimates by using both intersection counts and results of the license-plate survey. The procedure is described in detail on the basis of a numerical example. An earlier paper reported a method of estimation that relies on intersection counts only and does not require the conduct of a sample license-plate survey. An empirical examination is conducted to test how estimation accuracy increases when the added information from the license-plate survey is used. This examination reveals that when the supplementary license-plate survey is small, the maximum-likelihood method yields unsatisfactory estimates. This efficiency is rectified by the use of a Bayesian method. The resulting solution procedure is simple, and satisfactory estimates are produced. (Author)
Supplemental Notes: Publication of this paper sponsored by Committee on Passenger Travel Demand Forecasting. 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: TRANSPORTATION FORECASTING: ANALYSIS AND QUANTITATIVE METHODS Monograph Accession #: 00395366
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Geva, ItzhakHauer, EzraLandau, UziEditors: Herman, Scott CPagination: pp 101-105
Publication Date: 1983
Serial: ISBN: 0309036658
Media Type: Print
Features: Figures
(4)
; References
(12)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning
Files: TRIS, TRB
Created Date: Nov 30 1984 12:00AM
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