Pavement Performance: New Approaches using Predictive Analytics/An Assessment of the Models to Predict Pavement Performance
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.
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Language
- English
Project
- Status: Completed
- Funding: $39271.00
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Contract Numbers:
DTRT13-G-UTC37
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Sponsor Organizations:
Iowa State University
2711 S Loop Drive, Suite 4700
Ames, IA United States 50010-8664 Office of the Assistant Secretary for Research and Technology
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Managing Organizations:
Iowa State University
2711 S Loop Drive, Suite 4700
Ames, IA United States 50010-8664 -
Performing Organizations:
2500 California Plaza
Omaha, Nebraska United States 68178 -
Principal Investigators:
Nath, Ravi
Duckworth, William
- Start Date: 20140614
- Expected Completion Date: 20180228
- Actual Completion Date: 0
- Source Data: RiP Project 39372
Subject/Index Terms
- TRT Terms: Data files; Evaluation and assessment; Pavement management systems; Pavement performance
- Identifier Terms: Iowa Department of Transportation
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;
Filing Info
- Accession Number: 01560536
- Record Type: Research project
- Source Agency: Midwest Transportation Center
- Contract Numbers: DTRT13-G-UTC37
- Files: UTC, RIP
- Created Date: Apr 16 2015 1:01AM