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Title:

AN L SUB P-NORM ORIGIN-DESTINATION ESTIMATION METHOD THAT MINIMIZES SITE-SPECIFIC DATA REQUIREMENTS

Accession Number:

00642433

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309055601

Abstract:

An efficient l sub p approximation algorithm to estimate a likely origin-destination (O-D) matrix while minimizing site-specific data-collection effort is presented. It was found that the trip-distribution curve is a useful supplement to site-specific link counts since it can be borrowed from a similar community, or that an outdated local curve can be employed without significant loss of accuracy. Imbedding such a generic trip-distribution curve within the algorithmic procedure gives a more accurate O-D estimation and link-count reproduction in general, although the number of iterations is increased. Test results from a medium-sized city show that the extra computational effort is a small price to pay for the improvement in O-D accuracy. The l sub p approximation algorithm is shown to be theoretically related to familiar O-D estimation techniques such as entropy maximization, information minimization, and generalized inverse, yet it is more robust and theoretically more satisfying.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1413, Innovations in Travel Behavior Analysis, Demand Forecasting, and Modeling Networks. 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 Accession #:

01403260

Language:

English

Authors:

Chan, Yupo
Rahl, M Yunus

Pagination:

p. 130-140

Publication Date:

1993

Serial:

Transportation Research Record

Issue Number: 1413
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309055601

Features:

Figures (1) ; References (27) ; Tables (3)

Old TRIS Terms:

Subject Areas:

Data and Information Technology; Design; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Feb 23 1994 12:00AM

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