Type of Document Dissertation Author Hildreth, John C. URN etd-02052003-172157 Title The Use of Short-Interval GPS Data for Construction Operations Analysis Degree PhD Department Civil Engineering Advisory Committee
Advisor Name Title Vorster, Michael C. Committee Chair Ahmadian, Mehdi Committee Member de la Garza, Jesus M. Committee Member Dymond, Randel L. Committee Member Martinez, Julio C. Committee Member Songer, Anthony D. Committee Member Keywords
- Construction Operations
- Data Collection
- Data Reduction
- Field Verification
Date of Defense 2003-01-29 Availability unrestricted AbstractThe global positioning system (GPS) makes use of extremely accurate measures of the time to determine position. The times required for electronic signals to travel at the speed of light from at least four orbiting satellites to a receiver on earth is measured precisely and used to calculate the distances from the satellites to the receiver. The calculated distances are used to determine the position of the receiver through triangulation.
This research takes an approach opposite the original GPS research, focusing on the use of position to determine the time at which events occur. Specifically, this work addresses the question: Can the information pertaining to position and speed contained in a GPS record be used to autonomously identify the times at which critical events occur within a production cycle?
The research question was answered by determining the hardware needs for collecting the desired data in a useable format an developing a unique data collection tool to meet those needs. The tool was field evaluated and the data collected was used to determine the software needs for automated reduction of the data to the times at which key events occurred. The software tools were developed in the form of Time Identification Modules (TIMs). The TIMs were used to reduce data collected from a load and haul earthmoving operation to duration measures for the load, haul, dump, and return activities.
The value of the developed system was demonstrated by investigating correlations between performance times in construction operations and by using field data to verify the results obtained from productivity estimating tools. Use of the system was shown to improve knowledge and provide additional insight into operations analysis studies.
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