Origin-destination table disaggregation using fratar biproportional least squares estimation

File(s)
Date
2009-02Author
Horowitz, Alan J.
Publisher
National Center for Freight and Infrastructure Research and Education
Metadata
Show full item recordAbstract
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.
Subject
Travel demand
Traffic forecasting
Traffic estimation
Origin and destination
Least squares method
Permanent Link
http://digital.library.wisc.edu/1793/55963Type
Technical Report
Description
22 p.