Evaluating the Operations and Safety Benefits of AI-driven Driver Information-focused Countermeasures for CAV Technologies

The goal of this project would be to quantify the safety benefits using a combination of conventional crash-analyses techniques and surrogate safety measures as crashes are still rare events and there may not be adequate data in the short-term. The innovation in this project comes from a combination of developing an industry-first safety-based recommendation system for crash hotspots while using traffic simulation software that interfaces with the Surrogate Safety Assessment Model (SSAM) for the Trapezium corridor to assess the operational and safety benefits of connected and autonomous vehicle (CAV) deployments. Following the simulation analyses, the project will focus on on-field measurements of queues, delays, and near-misses for the Trapezium corridor.


    • English


    • Status: Active
    • Funding: $505368
    • Contract Numbers:

      BDV31 977-140

    • Sponsor Organizations:

      Florida Department of Transportation

      605 Suwannee Street
      Tallahassee, FL  United States  32399-0450
    • Managing Organizations:

      Florida Department of Transportation

      Research Center
      605 Suwannee Street MS-30
      Tallahassee, FL  United States  32399-0450
    • Project Managers:

      Ponnaluri, Raj

    • Performing Organizations:

      University of Florida

      207 Grinter Hall
      PO Box 115500
      Gainesville, Florida  United States  32611
    • Principal Investigators:

      Srinivasan, Sivaramakrishnan

    • Start Date: 20210402
    • Expected Completion Date: 20230630
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01771209
    • Record Type: Research project
    • Source Agency: Florida Department of Transportation
    • Contract Numbers: BDV31 977-140
    • Files: RIP, STATEDOT
    • Created Date: May 4 2021 2:01PM