Implementation of Seal Coat Binder Rate Adjustments using LiDAR Data

Seal coats are a very important preventive maintenance method used throughout Texas. Through the preventive maintenance program, about 16,000 lane miles a year are routinely resurfaced with a seal coat by contracts, and about 3,000 lane miles per year of seal coats are placed with state forces. Additionally, seal coats are used in intermediate layers during construction to seal the pavement structure, which is a significant investment of over $300 million annually. For more than 40 years, there has been little change in the design and construction practices, including equipment used to place the binder or aggregate. With little to no changes in design and construction methods, Texas continues to see the same problems reoccurring, such as rock loss, flushing and bleeding. New technologies are being developed that could potentially reduce these types of problems. Recently completed research project 0-6963, Planning the Next Generation of Seal Coat Equipment, found that the mobile LiDAR system shows much promise to remove a significant amount of subjectivity when determining variations in surface conditions. Identification of the surface conditions is needed in order to adjust the seal coat binder rates during construction as the conditions change. The objective of this implementation project is to remove subjectivity from the rate adjustment process which will lead to reduced risk for the TxDOT. The research team will use LiDAR reflectivity data to describe pavement condition changes through an efficient and effective automated data analysis method. The research team will review the projects identified in research project 0-6963 and work with the Bryan District on six projects for the summer 2019 seal coat to identify pavement condition changes and binder rate adjustments. For the 2020 seal coat projects, the research team will work with the Bryan District and two additional districts (either Waco, Brownwood, Lufkin or Tyler) to select five projects each. The research team will collect data on the selected locations, apply the algorithm, and provide the district with suggested application rate adjustments.


  • English


  • Status: Active
  • Funding: $216517
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Managing Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Project Managers:

    Odell, Wade

  • Performing Organizations:

    Texas A&M Transportation Institute, College Station

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Goehl, Darlene

  • Start Date: 20190507
  • Expected Completion Date: 20210430
  • Actual Completion Date: 0
  • Source Data: TxDOT Research Library

Subject/Index Terms

Filing Info

  • Accession Number: 01744082
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 5-6963-01
  • Files: RiP, STATEDOT
  • Created Date: Jun 25 2020 1:28PM