A two-stage approach for estimating a statewide truck trip table

Sarawut Jansuwan, Seungkyu Ryu, Anthony Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


The proposed approach is supported by two sequential stages: the first estimates the commodity-based truck O-D trip tables primarily derived from the commodity flow database, and the second refines the O-D estimates using the observed truck counts. The first stage uses national commodity flow data from the Freight Analysis Framework Version 3 (FAF3) database to develop a commodity-based truck trip table, while the second stage uses the path flow estimator (PFE) concept to refine the truck trip table obtained from the first stage using the truck counts from the statewide truck count program. The model allows great flexibility for data incorporation at different spatial levels in terms of estimating the statewide truck O-D trip table. To show proof of concept, a case study is conducted using the Utah statewide freight transportation network to demonstrate how the two-stage approach can be implemented in practice. The results show that the proposed approach is applicable for estimating a statewide truck O-D trip table with limited resources, and can be used to conduct truck corridor analysis to determine congested links and potential bottlenecks in Utah.
Original languageEnglish
Pages (from-to)274-292
Number of pages19
JournalTransportation Research Part A: Policy and Practice
Publication statusPublished - 1 Aug 2017


  • Commodity flow
  • Freight transportation
  • Path flow estimator
  • Statewide planning model
  • Truck O-D trip table

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Management Science and Operations Research


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