AI-Based Prediction Models for Transportation Infrastructure Asset Management Data Hub – Phase I
Massive 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, but have not been fully investigated in the past studies. 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.
Language
- English
Project
- Status: Active
- Funding: $120000
-
Contract Numbers:
69A3551947137
-
Sponsor Organizations:
Transportation Infrastructure Durability & Life Extension
Washington State University
Civil & Environmental Engineering
Pullman, Washington United States 99164Missouri University of Science & Technology, Rolla
Department of Engineering
202 University Center
Rolla, MO 65409Colorado Department of Transportation
4201 East Arkansas Avenue
Denver, CO United States 80222Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Transportation Infrastructure Durability & Life Extension
Washington State University
Civil & Environmental Engineering
Pullman, Washington United States 99164 -
Project Managers:
Kline, Robin
-
Performing Organizations:
Missouri University of Science & Technology, Rolla
Department of Engineering
202 University Center
Rolla, MO 65409 -
Principal Investigators:
Liu, Jenny
Hu, Xianbiao
- Start Date: 20210601
- Expected Completion Date: 20230831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
- Subprogram: Transportation Infrastructure Durability and Life Extension
Subject/Index Terms
- TRT Terms: Artificial intelligence; Data analysis; Data banks; Data mining; Mathematical models; Mathematical prediction; Pavement design; Pavement maintenance; Pavement performance; Properties of materials
- Subject Areas: Data and Information Technology; Design; Maintenance and Preservation; Pavements;
Filing Info
- Accession Number: 01773722
- Record Type: Research project
- Source Agency: National Center for Transportation Infrastructure Durability and Life-Extension
- Contract Numbers: 69A3551947137
- Files: UTC, RIP
- Created Date: Jun 5 2021 5:23PM