Pavement Performance: New Approaches Using Predictive Analytics/An Assessment of the Models to Predict Pavement Performance

Project status

Completed

Start date: 06/14/14
End date: 02/28/18

Researcher(s)

Principal investigator:

Co-principal investigator:

About the research

The primary objective of this research was to develop and assess pavement condition index (PCI) predictive models for the years 2014 and 2015 based on the 2013 PCI values and other road characteristics during the 2013 calendar year. The study also factored in whether the road segment was resurfaced in 2014 or 2015.

Publications

Reports:

Tech transfer summary: Exploration of Machine Learning Approaches to Predict Pavement Performance (152.09 kb pdf) Mar 2018

Sponsor(s)/partner(s)

Sponsor(s):

  • Midwest Transportation Center
  • USDOT/OST-R