Evaluation of Low-Speed Profiler for Network-Level Pavement Management

For pavement management and to understand the condition of its network, Texas Department of Transportation (TxDOT) relies on high-speed inertial profilers to gather ride quality. However, a persistent challenge arises when assessing pavement smoothness at low speeds or under stop-and-go conditions (i.e., signalized intersection, stop-control intersections, high driveway density producing turning traffic, and congested roadways during peak-hour traffic) that compromises the accuracy of data collected by conventional profilers. For example, collecting ride quality measurements on a congested roadway with multiple driveways leads to acceleration and deceleration of the collection vehicle, potentially adding "false" dips into the measurements. If these dips are included in the network-level measurements, these types of roadways could receive a poor condition score that is not indicative of the true pavement condition. Collecting data on roadways with signalized intersections and slow-moving congested traffic could have the same challenges. The research team will explore the potential of low-speed profilers to enhance data collection accuracy in such scenarios. The research team will evaluate the effectiveness of low-speed profilers in providing accurate pavement profile data, particularly in areas prone to low-speed or acceleration and deceleration operations. The research team will validate the capabilities of low-speed profilers and recommend strategies for their integration into TxDOT's pavement management practices, ultimately leading to a more accurate condition assessment.

Language

  • English

Project

  • Status: Active
  • Funding: $504752
  • Contract Numbers:

    0-7210

  • Sponsor Organizations:

    Texas Department of Transportation

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

    Souraphath, Danny

  • Performing Organizations:

    Texas A&M Transportation Institute

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

    Gurganus, Charles

  • Start Date: 20240901
  • Expected Completion Date: 20260831
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01928239
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-7210
  • Files: RIP, STATEDOT
  • Created Date: Aug 23 2024 11:55AM