Determination of Improved Pavement Smoothness When Using 3D Modeling and Automatic Machine Guidance [techbrief]

Details

• Corporate Creators:
  United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
• Corporate Contributors:
  WSP ; Transtec Group, Inc. ; Weris, Inc.
• Subject/TRT Terms:
  • Smoothness
  • Roughness
  • Three dimensional displays
  • Autonomous vehicle guidance
  • Paving
  • Pavement design
  • Automated machine guidance
  • AMG
  • Pavement smoothness
  • 3D engineered models
  More +
• Publication/ Report Number:
  FHWA-HRT-21-021
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Federal Highway Administration. Office of Research, Development, and Technology
• Abstract:
  This TechBrief provides a summary of a study the Federal Highway Administration (FHWA) conducted to evaluate how using three-dimensional (3D) engineered models in conjunction with Automated Machine Guidance (AMG) technology affects initial pavement smoothness. The assessment approach included a comprehensive literature review, engagement with State highway agencies (SHAs) that are using 3D engineered models and AMG technology to understand the current state of the practice regarding smoothness benefits, and a comparison of documentation from five case studies. Researchers also compared the initial pavement-smoothness measurements from these case studies with those from companion projects that were performed without AMG technology to test the null hypothesis that the use of this technology improves initial pavement smoothness. This work led to an enhanced understanding of how 3D engineered models and AMG technology, also referred to as stringless paving, can be used as contractor tools for quality control (QC) and help SHAs mitigate risks and optimize initial pavement smoothness.
• Format:
  PDF
• Funding:
  DTFH6114D00009
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/54590/dot_54590_DS1.pdf
• File Type:
  [PDF - 498.50 KB]
• Collection(s):
  Autonomous Vehicles ; Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:fc627c7d4e3c9b0ed02ad97c80efa91e8cbccc63bebb2da0c9299b668f9f21194a1d822378041364f73d6cdf8134636943a674c7a8d0cea5464cbb9175693369