Abstract
It is a common practice among state agencies to manually inspect road segments and decide maintenance requirements based on the pavement condition index (PCI). However, standalone PCI only evaluates the pavement surface condition. When coupled with the variability in human perception of pavement distress, this limits the accuracy of current pavement maintenance practices and undermines the automated pavement maintenance suggestions systems, especially for actionable recommendations related to accurate patching location, depth, and priority. This project explores integrating pavement structural and surface condition assessment with pavement ratings of distress to estimate the appropriate pavement patching strategy for accurate location, depth, and quantity. The developed patching management tool will provide an automated pavement management option with high resolution patching location and improved patching depth and priority suggestions.
Keywords
pavement maintenance, patching management tool (PMT), pavement condition index (PCI), falling weight deflectometer (FWD), international roughness index (IRI), crack density, automated pavement assessment, geospatial data fusion, web-based application, pavement distress detection, structural number ratio (SNR), patching tables, eCDF, pavement types
Report Number
FHWA/IN/JTRP-2024/29
SPR Number
4521
Sponsoring Organization
Indiana Department of Transportation
Performing Organization
Joint Transportation Research Program
Publisher Place
West Lafayette, Indiana
Date of Version
2024
DOI
10.5703/1288284317770
Recommended Citation
Jha, S., Zhang, Y., Bagchi, T., Balmos, A., Park, B., Haddock, J. E., Cho, S., & Krogmeier, J. V. (2024). Comprehensive pavement patching tools and web-based software for pavement condition assessment and visualization (Joint Transportation Research Program Publication No. FHWA/IN/JTRP-2024/29). West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317770