Identifying Pavement Improvement Projects for Enhanced Safety

The research teams will develop a method and tool for analyzing safety-related pavement data to identify candidate pavement safety projects, such as cross-slope improvement projects and flushing treatment projects. The research teams will assemble a dataset containing comprehensive data on the pavement, site condition, and crashes for a representative sample of on-system roadways. The research teams will conduct a comprehensive analysis of the integrated dataset to identify critical combinations and thresholds of pavement conditions that may pose a safety hazard and use these factors to assess pavement susceptibility to crashes. The research teams will quantify the pavement crash susceptibility based on measurable pavement characteristics such as cross-slope, geometrics, distresses (e.g., rutting, flushing), skid resistance, and roughness. Finally, the research teams will develop a data analysis and visualization tool for assessing pavement crash susceptibility and recommending solutions to reduce crash risks. Texas Department of Transportation's (TxDOT’s) districts will be able to use this tool to identify potential site-specific crash contributing factors and proactively select appropriate pavement safety improvement projects.

• Record URL:
  https://library.ctr.utexas.edu/Presto/project=7177

Language

• English

Project

• Status: Active
• Funding: $478160
• Contract Numbers:

  0-7177

• Sponsor Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Project Managers:

  Adediwura, Jade

• Performing Organizations:

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135

  University of Houston, Texas

  Department of Mechanical Engineering
  Houston, TX  United States  77004
• Principal Investigators:

  Gharaibeh, Nasir

• Start Date: 20230918
• Expected Completion Date: 20260228
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Crash risk forecasting; Data analysis; Highway safety; Pavement distress; Roughness; Safety analysis; Skid resistance
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01894810
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7177
• Files: RIP, STATEDOT
• Created Date: Sep 27 2023 2:16PM