Leveraging Vehicle Sensors for Pavement Condition Evaluation and Tracking

Pavement distresses like potholes and rutting pose significant safety risks and maintenance challenges for road networks. Traditional pavement monitoring methods rely on costly, intermittent surveys that fail to capture dynamic changes in conditions. This research explores the use of advanced sensors in modern and autonomous vehicles, including LiDAR, cameras, and inertial sensors, to gather real-time, high-resolution data for detecting and mapping pavement conditions. The project integrates data into Pavement Management Systems (PMS) through novel algorithms employing computer vision, machine learning, and statistical methods. Outputs include open-source algorithms and toolkits, enabling rapid identification and remediation of pavement issues, thus enhancing road safety and aligning with the US DOT's priorities of sustainability and technological innovation.

Language

• English

Project

• Status: Active
• Funding: $100000
• 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 Massachusetts, Amherst

  Department of Civil and Environmental Engineering
  130 Natural Resources Road
  Amherst, MA  United States  01003
• Performing Organizations:

  University of Massachusetts, Amherst

  Department of Civil and Environmental Engineering
  130 Natural Resources Road
  Amherst, MA  United States  01003
• Principal Investigators:

  Okte, Egemen

• Start Date: 20240901
• Expected Completion Date: 20250831
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Condition surveys; Data collection; Laser radar; Machine learning; Pavement distress; Pavement management systems; Sensors
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;

Filing Info

• Accession Number: 01938928
• Record Type: Research project
• Source Agency: New England University Transportation Center
• Files: UTC, RIP
• Created Date: Dec 9 2024 9:53AM