Optimizing Guardrail Placements along Highways in Utah to Enhance Road Safety and Mitigate Road Departure Crashes

This project focuses on optimizing guardrail placements along highways in Utah to enhance road safety and mitigate road departure (RD) crashes. Utilizing advanced computer vision technologies and Mixed Integer Programming (MIP) models, the research aims to analyze roadside features and crash data to strategically position guardrails. By integrating detailed roadside feature data with historical crash severity information, the project seeks to identify high-risk areas for targeted guardrail installation. This approach promises to not only improve safety outcomes by reducing the frequency and severity of RD crashes but also to ensure cost-effective resource allocation, ultimately contributing to safer highways and preserving public welfare in Utah.


  • English


  • Status: Active
  • Funding: $102000
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Center for Transformative Infrastructure Preservation and Sustainability

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    University of Utah

    Department of Civil and Environmental Engineering
    110 Central Campus Drive Suite 2000
    Salt Lake City, UT  United States  84112
  • Principal Investigators:

    Markovic, Nikola

    Rashidi, Abbas

  • Start Date: 20240506
  • Expected Completion Date: 20260505
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: CTIPS-008

Subject/Index Terms

Filing Info

  • Accession Number: 01920538
  • Record Type: Research project
  • Source Agency: Center for Transformative Infrastructure Preservation and Sustainability
  • Contract Numbers: 69A3552348308
  • Files: UTC, RIP
  • Created Date: Jun 4 2024 1:53PM