Implementation and Calibration of a Laser Crack Measurement System for the Delaware Department of Transportation's Pavement Management Program

The Delaware Department of Transportation (DelDOT) collects 3D pavement condition data with a laser crack measurement system (LCMS) on the State’s roadway network. Pavement condition data are collected for two primary purposes: to characterize and quantify pavement distress for development of maintenance and repair (M&R) recommendations; and to develop overall pavement condition (OPC) values for reporting to State stakeholders. Transitioning to high-speed data collection resulted in OPC values not following expected trends when compared to historic data sets. As such, DelDOT required the project team to identify and mitigate differences between field-based distress measurements, LCMS-based distress measurements, and the resulting treatment recommendations originating from the Department’s pavement management system (PMS). This paper documents the project team’s approach to performing a distress calibration involving data processing and calibration iterations to narrow discrepancies between LCMS-based pavement distress data and network-level treatment selections. The project team selected calibration sites, collected baseline distress measurements, reconciled differences in manual and automated data collection processes, and executed adjustments to PMS index models. In addition, the project team adjusted data processes within the PMS to improve M&R treatment selections and index calculations. Although the calibration effort did not result in complete agreement between field and automated data, the iterations closed many of the data gaps. High-speed collection technologies in network-level pavement management is promising, and DelDOT anticipates using these results to provide consistent calibration and collection policies to vendors and consultants in the future.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AFD20 Standing Committee on Pavement Condition Evaluation.
  • Authors:
    • Gerber, Aaron D
    • Miller, Timothy D
    • Richardson, Michael J
  • Conference:
  • Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01662959
  • Record Type: Publication
  • Report/Paper Numbers: 18-05347
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 19 2018 10:35PM