SPR-4916: Approaches to Enhance Pavement Condition Evaluation Based on Falling Weight Deflectometer (FWD) Data

The project involves upgrading FWD vans with cameras and sensors to capture comprehensive pavement data, including images. The project will develop an autonomous data analysis application using machine learning to assess pavement health, a custom Python-based back-calculation tool, and an interactive web-based dashboard for visualizing data and results. These deliverables aim to improve pavement evaluation accuracy, streamline analysis workflows, and facilitate timely maintenance, ultimately extending the lifespan of road infrastructures.

Language

• English

Project

• Status: Active
• Funding: $247721
• Contract Numbers:

  SPR-4916

• Sponsor Organizations:

  Purdue University/Indiana Department of Transportation JHRP

  Purdue University
  1284 Civil Engineering Building, Room 4154
  West Lafayette, IN  United States  47907-1284
• Principal Investigators:

  Jahanshahi, Mohammad

• Start Date: 20240901
• Expected Completion Date: 20260831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Backcalculation; Data collection; Falling weight deflectometers; Machine learning; Pavement maintenance
• Identifier Terms: Python (Programming Language)
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01928923
• Record Type: Research project
• Source Agency: Indiana Department of Transportation
• Contract Numbers: SPR-4916
• Files: RIP, STATEDOT
• Created Date: Aug 27 2024 2:08PM