ESTIMATING FREEWAY ORIGIN-DESTINATION PATTERNS USING AUTOMATION TRAFFIC COUNTS
To enable the efficient use of existing roadway capacity, researchers and practitioners are developing advanced traffic management systems (ATMSs), which has led to an increased interest in problems connected to the estimation of origin-destination (O-D) flows using information provided by freeway surveillance and control systems. A number of methods based on a linear traffic assignment model have been applied successfully to single intersections, and some of these estimators were extended to a section of freeway. The results from Monte Carlo simulation suggest that ordinary least squares (OLS) and expectation-maximization approaches were either biased or inefficient. A nonlinear least squares (NLS) estimator that eliminated model specification error was introduced, and it performed better in terms of statistical efficiency and lack of bias. This implies that accurate O-D estimation may require an accurate traffic flow model and that actual implementation may require joint estimation of O-D patterns and traffic flow model parameters. On the other hand, a constrained approximate maximum likelihood estimator performed better than OLS but somewhat worse than NLS, showing some potential for providing a simple and yet plausibly accurate approach.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309061008
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1457, Part 2, Traffic Flow and 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
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Authors:
- Yu, Ping
- Davis, Gary A
- Publication Date: 1994
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 127-133
- Monograph Title: Part 1: 1994 TRB Distinguished Lecture, Adolf D May; Part 2: Traffic flow and capacity
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Serial:
- Transportation Research Record
- Issue Number: 1457
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Accuracy; Bias (Statistics); Estimating; Freeways; Monte Carlo method; Origin and destination; Traffic counts; Traffic simulation; Travel patterns
- Old TRIS Terms: Nonlinear least squares method; Statistical efficiency
- Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 00677655
- Record Type: Publication
- ISBN: 0309061008
- Files: TRIS, TRB
- Created Date: May 11 1995 12:00AM