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dc.contributor.authorHildreth, John C.en
dc.date.accessioned2014-03-14T20:07:09Zen
dc.date.available2014-03-14T20:07:09Zen
dc.date.issued2003-01-29en
dc.identifier.otheretd-02052003-172157en
dc.identifier.urihttp://hdl.handle.net/10919/26120en
dc.description.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.en
dc.publisherVirginia Techen
dc.relation.haspartPics.zipen
dc.relation.haspartTIM.xlsen
dc.relation.haspartFinal_Disseratation.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectConstruction Operationsen
dc.subjectData Collectionen
dc.subjectData Reductionen
dc.subjectField Verificationen
dc.subjectCorrelationen
dc.subjectGPSen
dc.titleThe Use of Short-Interval GPS Data for Construction Operations Analysisen
dc.typeDissertationen
dc.contributor.departmentCivil Engineeringen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineCivil Engineeringen
dc.contributor.committeechairVorster, Michael C.en
dc.contributor.committeememberde la Garza, Jesus M.en
dc.contributor.committeememberSonger, Anthony D.en
dc.contributor.committeememberDymond, Randel L.en
dc.contributor.committeememberMartinez, Julio C.en
dc.contributor.committeememberAhmadian, Mehdien
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02052003-172157/en
dc.date.sdate2003-02-05en
dc.date.rdate2004-03-05en
dc.date.adate2003-03-05en


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