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

This project will incorporate tourism-related data into the travel demand model and develop methods to estimate traffic volume on low-volume roads near tourism destinations in Wyoming. Tourism trips occupy a major part of traffic volume in Wyoming, especially in frequently visited areas. So far, tourism traffic is barely recognized in travel demand model due to available data in this field. The first goal of this project will be incorporating the tourism-related travel behavior parameters in the four-step modeling process to estimate traffic volumes. The second goal will be to implement the model for the whole State of Wyoming. Finally, an analysis will be carried out to determine the seasonality in tourism travel demand and the impact of tourism travel on local transportation system. By accomplishing these three goals, a more efficient means of providing low-volume roads traffic information will be developed for the entire state; this will support a wide variety of design, planning, and management functions on both the state and county road networks. Using improved models will make better traffic volume estimates possible with the same data, thereby lowering costs and improving the quality of traffic information. By taking advantage of better software and better models, more and higher quality information may be provided, leading to improvements in safety and other planning efforts.

Language

  • English

Project

  • Status: Active
  • Funding: $183377
  • Contract Numbers:

    69A3551747108

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    University of Wyoming

    Dept. of Civil and Architectural Engineering
    1000 E. University Avenue
    Laramie, WY  United States  82071
  • Principal Investigators:

    Yue, Er

    Ksaibati, Khaled

  • Start Date: 20180703
  • Expected Completion Date: 20220731
  • Actual Completion Date: 0
  • Source Data: MPC-572

Subject/Index Terms

Filing Info

  • Accession Number: 01674855
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RiP
  • Created Date: Jul 6 2018 4:18PM