Analysis of Impacts of Pavement Quality Deterioration on Recurring Traffic Congestion (Project M6)

The US has an extensive road network encompassing 4.2 million miles with 220,000 miles of high-volume corridors. Studies confirm that surface deficiencies of transportation infrastructure cause non-recurrent congestion as they are a contributing factor to 1/3 of all severe traffic crashes in the US. It is argued that poor pavement conditions are also linked to recurrent congestion, when drivers adjust their driving behaviors abruptly to avoid pavement cracks and other infrastructure deficiencies. However, those links are not documented in detail in the literature. Using Google Street View images and machine learning algorithms to assess pavement quality and the National Performance Management Research Data Set (NPMRDS) for congestion monitoring, this project will attempt to quantify the extent to which pavement quality deterioration has an impact on traffic congestion in urban settings. The goal is to provide insight on the links between pavement quality and traffic operations and showcase the feasibility and value of an integrated traffic data and pavement quality management approach for monitoring traffic and infrastructure performance.

Language

• English

Project

• Status: Active
• Funding: $85,000
• Contract Numbers:

  69A3551747104

• 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:

  Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

  University of Florida
  365 Weil Hall
  Gainesville, FL  United States  32611
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Alabama, Birmingham

  1170 Administration Building
  701 20th Street South
  Birmingham, AL  United States  35294
• Principal Investigators:

  Sherif, Muhammad

• Start Date: 20220302
• Expected Completion Date: 20230531
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Deterioration; Image analysis; Machine learning; Pavement distress; Traffic congestion
• Subject Areas: Highways; Operations and Traffic Management; Pavements;

Filing Info

• Accession Number: 01854186
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RIP
• Created Date: Aug 10 2022 2:44PM