Prediction of Hydroplaning Risk of Truck on Roadways

Accident data records have shown that wet pavement surface is a significant factor causing car and truck accidents. The vehicle operation, roadway geometric design, and pavement surface and drainage condition are critical factors affecting skid resistance on wet surface and hydroplaning risk. The current models of predicting hydroplaning risk are mainly based on regression analysis of the limited experiment data. These empirical models are difficult to capture the physic-based principle and thus cannot be applied outside the range of data that were used to develop the models. In addition, the current models are focused more on passenger car tires and did not consider water flow characteristics on rough pavement surface. The hydroplaning potential of truck tires at different conditions has not been thoroughly investigated. The research aims to develop an integrated hydroplaning model for trucks that can be used by transportation agencies to design safer roadways.


  • English


  • Status: Active
  • Funding: $74924
  • 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 Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Road
    Piscataway, NJ  United States  08854-8058
  • Project Managers:

    Szary, Patrick

    Gresavage, Susan

  • Performing Organizations:

    Rutgers University, Piscataway

    Department of Civil and Environmental Engineering
    623 Bowser Road
    Piscataway, NJ  United States  08854
  • Principal Investigators:

    Wang, Hao

    Flintsch, Gerardo

  • Start Date: 20161001
  • Expected Completion Date: 20181231
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01616142
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: DTRT13-G-UTC28, CAIT-UTC-NC46
  • Files: UTC, RiP
  • Created Date: Nov 9 2016 7:50AM