Digital Twins for Roadway Safety: A Community-Engaged Approach

Digital Twins (DTs) are virtual representations of physical infrastructure that enable simulation and analysis for improved decision-making. This project leverages DTs to address roadway safety by incorporating concerns and solutions identified through local engagement. The study involves creating geospatial DT models of prioritized safety issues, validating them with predictive traffic models, and co-developing solutions with community members. Outputs include scalable methodologies for data-informed safety planning, public education on DT technology, and actionable recommendations for enhancing transportation safety across various settings.

    Language

    • English

    Project

    • Status: Active
    • Funding: $150000
    • Contract Numbers:

      69A3552348301

    • 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:

      University of Massachusetts, Amherst

      Department of Civil and Environmental Engineering
      130 Natural Resources Road
      Amherst, MA  United States  01003
    • Performing Organizations:

      University of Massachusetts, Amherst

      Department of Civil and Environmental Engineering
      130 Natural Resources Road
      Amherst, MA  United States  01003
    • Principal Investigators:

      Boakye, Jessica

      Knodler, Michael

    • Start Date: 20240901
    • Expected Completion Date: 20250831
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program
    • Subprogram: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01938992
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: 69A3552348301
    • Files: UTC, RIP
    • Created Date: Dec 9 2024 10:16AM