Project Title

Performance Evaluation and Prediction of Innovative Paving Materials through Pavement Management System (PMS) Data Mining

Researcher(s)

Jenny Liu, PhD, PE – PI

Project Description

Considerable field data have been collected by pavement engineers over the past thirty years. These data have great values to direct future pavement designs, maintenance, and quality assurance. As new innovative and sustainable paving materials have been increasingly adopted today, there has not been sufficient research to explore the newly generated data and develop performance models for those materials. The proposed project is a one-year study to conduct deep and systematic data mining on the existing pavement data and develop predictive models in terms of pavement performance, material properties, traffic effects, and pavement maintenance plans using data-driven intelligence technologies. The data mining will focus on the local State Highway Agencies (SHAs)’ Pavement Management System (PMS) and Long-Term Pavement Performance (LTPP) database The research outcome will help highway agencies to better design, maintain, and manage pavement infrastructures, and serve as preliminary work for the future development of holistic data hub system in transportation infrastructure engineering.

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