Road Pavement Condition Monitoring by Embedded Crowdsensing
The objective of this project is to design, implement and test a crowdsensing-based system that allows for pavement condition monitoring in a low-cost, reliable and rapid manner. The proposed system collects crowdsensing data from in-vehicle accelerometers in smartphones, dashboard, rear-view or smartphone cameras and global positioning systems (GPS), and generates accelerometer-based roughness indictors (ARI) and photo-based distress indictors (PDI) for existing pavement conditions. The research team will study the validity of these resulting indicators for decision making through correlation with conventional IRI (International Roughness Index) and PCI (Pavement Condition Index).
Project
- Status: Active
- Funding: $136626
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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
Rajabipour, Farshad
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Performing Organizations:
Lehigh University
ATLSS Engineering Research Center
IMBT Laboratory
Bethlehem, PA United States 18015-4729 -
Principal Investigators:
Cheng, Liang
- Start Date: 20190311
- Expected Completion Date: 20201231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Accelerometers; Condition surveys; Crowdsourcing; Data collection; Global Positioning System; Pavement distress; Photographs; Roughness; Sensors; Smartphones; Validation
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;
Filing Info
- Accession Number: 01699753
- Record Type: Research project
- Source Agency: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
- Files: UTC, RiP
- Created Date: Mar 25 2019 3:20PM