Incorporating Tourism Data in Traffic Estimation on Wyoming Low-Volume Roads

This report explains the various data inputs and outputs associated with the travel demand model (TDM) developed for estimating traffic volumes on low-volume roads in Wyoming. This study incorporated tourism-related data into the TDM and developed methods to estimate traffic volume on low-volume roads in Wyoming. The new tourism-based model shared many features with the previously developed model, including geography, traffic analysis zone structure, and networks. The newly developed model was then verified by comparing actual traffic volumes to those predicted by the model. The model implementation required several data inputs, including Wyoming local road network and tourism data. The output results were in the form of geographic data, indicating the various roads and their traffic volumes. This document describes the various data utilized and produced in the model. It also explains how to interpret the traffic volume data from the output map. State departments of transportation, local transportation administrators along with other stakeholders concerned with transportation planning are among the audiences interested in this report.

  • Record URL:
  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    University of Wyoming, Laramie

    Department of Civil and Architectural Engineering
    1000 East University Avenue
    Laramie, WY  United States  82071

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Wyoming Department of Transportation

    Cheyenne, WY  United States 
  • Authors:
    • Yue, Er
    • Ksaibati, Khaled
  • Publication Date: 2020-12


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; Maps; References; Tables;
  • Pagination: 89p

Subject/Index Terms

Filing Info

  • Accession Number: 01764832
  • Record Type: Publication
  • Report/Paper Numbers: MPC-572, MPC 20-424
  • Created Date: Feb 17 2021 10:44AM