Improving Traffic Safety through Quantification of Road Network Hydroplaning Risks

The main objective of this study is to develop a computational framework to quantify tire-water-pavement interactions under wet surface conditions, assess their impacts on pavement friction, and suggest incorporating those impacts into an integrated asset management framework for pavement treatment prioritization and scheduling. This new research effort would enable roadway agencies to improve roadway safety by optimizing roadway friction as part of an integrated asset management plan. It will serve as a valuable tool for roadway agencies, providing them with insights to implement strategies to reduce traffic crashes, congestion, as well as pavement deterioration. The study will support the Center for Connected and Automated Transportation's (CCAT’s) efforts to create safe and durable transportation systems.

Language

  • English

Project

  • Status: Active
  • Funding: $220,000.00
  • Contract Numbers:

    69A3552348305

  • 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 Michigan Transportation Research Institute

    2901 Baxter Road
    Ann Arbor, Michigan  United States  48109
  • Project Managers:

    Bezzina, Debra

    Stearns, Amy

  • Performing Organizations:

    University of Illinois, Urbana-Champaign

    Illinois Center for Transportation
    1611 Titan Drive
    Rantoul, IL  United States  61866
  • Principal Investigators:

    Al-Qadi, Imad

    Ouyang, Yanfeng

  • Start Date: 20251015
  • Expected Completion Date: 20261015
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01970967
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3552348305
  • Files: UTC, RIP
  • Created Date: Nov 13 2025 3:35PM