Prediction of Pavement Performance via Integrated Pavement Health and Traffic Monitoring with Deep Learning and Predictive Modeling
The proposed research will target overcoming the critical limitations in current practice by developing a systematic method for simultaneous pavement performance monitoring and prediction and vehicle and traffic information collection through the integration of pavement dynamic response monitoring, video imaging, traffic flow monitoring, environmental monitoring, numerical pavement simulation with rational mechanics and inverse parameter determination, and an innovative ML architecture.
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Supplemental Notes:
- VTI Fed/Match$60000/60000WVU Fed/Match$59818/59818
Language
- English
Project
- Status: Active
- Funding: $239636
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Contract Numbers:
69A3551847103
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Pennsylvania State University
University Park, PA United States 16802 -
Project Managers:
Donnell, Eric
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Performing Organizations:
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia United States 24061West Virginia University, Morgantown
Morgantown, WV United States 26506 -
Principal Investigators:
Wang, Linbing
Dai, Fei
- Start Date: 20220120
- Expected Completion Date: 20230720
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Information retrieval; Learning; Mathematical prediction; Monitoring; Pavement components; Pavement performance; Traffic surveillance
- Subject Areas: Highways; Pavements;
Filing Info
- Accession Number: 01835227
- Record Type: Research project
- Source Agency: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
- Contract Numbers: 69A3551847103
- Files: UTC, RIP
- Created Date: Feb 2 2022 2:29PM