Options for providing quality axle load data for pavement design

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dc.contributor.authorWood, Steven
dc.contributor.examiningcommitteeShalaby, Ahmed (Civil Engineering) Kuhn, David (Mechanical Engineering)en_US
dc.contributor.supervisorRegehr, Jonathan (Civil Engineering)en_US
dc.date.accessioned2017-03-30T16:29:54Z
dc.date.available2017-03-30T16:29:54Z
dc.date.issued2017
dc.degree.disciplineCivil Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThis research evaluates four options to produce quality axle load data for pavement design: piezoelectric WIM sites (corrected and uncorrected data), static weigh scales, and a piezo-quartz WIM site. The evaluation applies four data quality principles: data validity, spatial coverage, temporal coverage, and data availability. While all principles are considered, the research contributes in the development and application of an integrated and sequential approach to assess data validity of the options by performing analyses to determine the precision and accuracy of axle load measurements. Within the context of Manitoba, the evaluation reveals that data produced by piezo-quartz and static weigh scales have superior validity, with piezo-quartz data offering better temporal coverage, data availability, and future geographic coverage. Ultimately, the selection of the best option for providing quality axle load data depends on the relative importance of data quality principles for producing data supporting sound pavement designs and infrastructure management decisions.en_US
dc.description.noteMay 2017en_US
dc.identifier.urihttp://hdl.handle.net/1993/32176
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectWeigh-in-Motionen_US
dc.subjectData qualityen_US
dc.subjectTruck weightsen_US
dc.subjectPiezoelectricen_US
dc.subjectPiezo-quartzen_US
dc.subjectLoad cellen_US
dc.subjectPavementen_US
dc.titleOptions for providing quality axle load data for pavement designen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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