Use of Automated Machine Guidance (AMG) within the Transportation Industry

Automated machine guidance (AMG) links sophisticated design software with construction equipment to direct the operation of the machinery with a high level of precision, improving the speed and accuracy of the transportation construction process. Because AMG eliminates much of the guesswork, manual control, and labor involved in traditional methods, it improves worker safety and saves agencies and contractors time and money, enhancing their ability to deliver transportation construction projects better, faster, and cheaper. This technology has the potential to improve the overall quality and efficiency of transportation project construction.   The objective of this research was to develop guidelines for use of AMG technology for state transportation agency construction projects. The guidelines (1) includes technical procurement specifications for AMG technology; (2) provides guidance on the use of such technology in construction projects; and (3) addresses the implementation of AMG technology into construction techniques (including the provision of electronic files and models to support the AMG process). The research agency’s final report that documents the entire research effort is available as NCHRP Web-Only Document 250: Use of Automated Machine Guidance within the Transportation Industry.


  • English


  • Status: Completed
  • Funding: $350000
  • Contract Numbers:

    Project 10-77

  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Reynaud, David

  • Performing Organizations:

    Iowa State University, Ames

    Ames, IA  United States  50011
  • Principal Investigators:

    White, David

  • Start Date: 20090724
  • Expected Completion Date: 0
  • Actual Completion Date: 20150220
  • Source Data: RiP Project 17992

Subject/Index Terms

Filing Info

  • Accession Number: 01464475
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 10-77
  • Files: TRB, RiP, USDOT
  • Created Date: Jan 3 2013 2:43PM