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Origin-destination table disaggregation using fratar biproportional least squares estimation

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Author(s)
Horowitz, Alan J.
Publisher
National Center for Freight and Infrastructure Research and Education
Date
Feb 2009
Subject(s)
Travel demand; Traffic forecasting; Traffic estimation; Origin and destination; Least squares method
Series
CFIRE;02-31
Abstract
This paper describes a group of techniques for disaggregating origin-destination tables for travel forecasting that makes explicit use of observed traffic on a network. Five models within the group are presented, each of which uses nonlinear least-squares estimation to obtain row and column factors for splitting trip totals from and to larger geographical areas into smaller ones. The techniques are philosophically similar to Fratar factoring, although the solution method is quite different. The techniques are tested on a full-sized network for Northfield, Minnesota and are found to work effectively.
Description
22 p.
Permanent link
http://digital.library.wisc.edu/1793/55963 
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