Impacts of Automated Machine Guidance on Earthwork Operations
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The Department of Civil, Construction, and Environmental Engineering seeks to apply knowledge of the laws, forces, and materials of nature to the construction, planning, design, and maintenance of public and private facilities. The Civil Engineering option focuses on transportation systems, bridges, roads, water systems and dams, pollution control, etc. The Construction Engineering option focuses on construction project engineering, design, management, etc.
History
The Department of Civil Engineering was founded in 1889. In 1987 it changed its name to the Department of Civil and Construction Engineering. In 2003 it changed its name to the Department of Civil, Construction and Environmental Engineering.
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1889-present
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- Department of Civil Engineering (1889-1987)
- Department of Civil and Construction Engineering (1987-2003)
- Department of Civil, Construction and Environmental Engineering (2003–present)
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- College of Engineering (parent college)
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Abstract
Use of automated machine guidance (AMG) that links sophisticated design software with construction equipment to direct the operations of construction machinery with a high level of precision, has the potential to improve the overall quality, safety, and efficiency of transportation construction. Many highway agencies are currently moving towards standardizing the various aspects involved in AMG with developing the design files to implementing them during construction. In this paper, two aspects of AMG and their impacts on earthwork operations are discussed. The first aspect deals with the estimation of earthwork quantities and its impact on productivity on costs. The second aspect deals with the factors contributing to the overall accuracy of AMG. These two aspects are discussed in this paper using survey responses from various AMG users (contractors, agencies, software developers, and equipment manufacturers) and some experimental test results. Both these aspects are critical to understand during implementation of AMG as these have productivity and cost implications to the users.
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This is a paper from Proceedings of the 2015 Conference on Autonomous and Robotic Construction of Infrastructure, which can be found in full at: http://lib.dr.iastate.edu/intrans_reports/141/.