Origin destination disaggregation using fratar biproportional least squares estimation for truck forecasting.

Horowitz, Alan J.; University of Wisconsin--Milwaukee. Center for Urban Transportation Studies

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Origin destination disaggregation using fratar biproportional least squares estimation for truck forecasting.

2009-02-01
By Horowitz, Alan J.

[PDF-332.28 KB]

English

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Details:

Creators:

Horowitz, Alan J.
Corporate Creators:

University of Wisconsin--Milwaukee. Center for Urban Transportation Studies
Subject/TRT Terms:

[+]

Least Squares Method Mathematical Models Origin And Destination Traffic Forecasting Trucking
Publication/ Report Number:

Paper No. 09-1
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

National Center for Freight and Infrastructure Research and Education (U.S.)
NTL Classification:

NTL-FREIGHT-Trucking Industry;NTL-PLANNING AND POLICY-PLANNING AND POLICY;
Abstract:

This working paper describes a group of techniques for disaggregating origin-destination tables

for truck forecasting that makes explicit use of observed traffic on a network. Six 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, MN and are

found to found to work effectively.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:2606f2c3ba4bd4dcbf6120ebca1ea777f8d7a7ea51e63280bdf6531533fbe6bd
Download URL:

https://rosap.ntl.bts.gov/view/dot/25342/dot_25342_DS1.pdf
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Origin destination disaggregation using fratar biproportional least squares estimation for truck forecasting.

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