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
    • 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:

      Center for Integrated Asset Management for Multi-Modal Transportation Infrastructure Systems

      Pennsylvania State University
      University Park, PA  United States  16802
    • Project Managers:

      Donnell, Eric

      Rajabipour, Farshad

    • 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

    Filing Info

    • Accession Number: 01699753
    • Record Type: Research project
    • Source Agency: Center for Integrated Asset Management for Multi-Modal Transportation Infrastructure Systems
    • Files: UTC, RiP
    • Created Date: Mar 25 2019 3:20PM