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

Project Details
STATE

IN

SOURCE

RIP

START DATE

09/01/24

END DATE

08/31/26

RESEARCHERS

Mohammad Jahanshahi

SPONSORS

Purdue University/Indiana Department of Transportation JHRP

KEYWORDS

Backcalculation, Data collection, Falling weight deflectometers, machine learning, Pavement maintenance

LINKS

Product

Project description

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.
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