Estimating a statewide truck origin-destination trip table: A case study in Utah

Sarawut Jansuwan, Anthony Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This research proposes a two-stage approach to estimate a statewide truck origin-destination (O-D) trip table. The proposed approach is supported by two sequential stages: one estimates the commodity-based truck O-D trip tables primarily derived from the commodity flow database, and the other refines them using the observed truck counts to reproduce the better matches. The first stage uses a national commodity flow data from the Freight Analysis Framework (FAF) database to develop a commodity-based truck trip table. The second stage uses the path flow estimator (PFE) concept to refine the truck trip table obtained from the first stage using the up-to-date truck counts from the statewide truck count program. The model allows great flexibility of incorporating data at different spatial levels for estimating truck O-D trip tables. A case study is conducted using the Utah statewide freight transportation network to demonstrate how the proposed approach can be implemented in practice.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012
Subtitle of host publicationTransportation and Logistics Management
Pages65-72
Number of pages8
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 - Kowloon, Hong Kong
Duration: 15 Dec 201217 Dec 2012

Conference

Conference17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012
Country/TerritoryHong Kong
CityKowloon
Period15/12/1217/12/12

Keywords

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

ASJC Scopus subject areas

  • Transportation

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