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Photogrammetry in Traffic Accident Reconstruction

Date Issued
August 1, 2007
Author(s)
O’Shields, Lara Lynn
Advisor(s)
John C. Hungerford
Additional Advisor(s)
Tyler Kress
Kenneth E. Kirby
Lee D. Han
Stephen H. Richards
Link to full text
http://etd.utk.edu/2007/OShieldsLara.pdf
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/23572
Abstract

The aim of this research is to utilize PhotoModeler, a closerange photogrammetry software package, in various traffic accident reconstruction applications. More specifically, three distinct studies were conducted: 1.) vehicle crush measurement, 2.) road curve measurement, and 3.) an evaluation of common traffic accident reconstruction measurement methodologies.


The first study applied the photogrammetric process to controlled crash information generated by the National Highway Traffic Safety Administration (NHTSA). A statistical procedure known as bootstrapping was utilized to generate distributions from which the variability was examined. The “within” subject analysis showed that 44.8% of the variability is due to the technique itself and the “between” subjects analysis demonstrated that 55.2% of the variability is attributable to vehicle type—roughly half and half. Additionally, a 95% CI for the “within” analysis revealed that the mean difference (between this study and NHTSA) fell between -2.52 mph and +2.74 mph; the “between” analysis showed a mean difference between -3.26 and +2.41 mph.

The second study focused on photogrammetry in road curve measurement. More particularly, this study applied photogrammetry to (simulated) road curves in lieu of traditional measurement methods, such as measuring tapes and measuring wheels. In this work, thirty (30) different radii of curvature of various known sizes were deliberately constructed. Then photogrammetry was used to measure each of the constructed curves. A comparison of the known “R’s” (control group) and photogrammetry’s value of “R” (treatment group) was then made. Matched Pairs or Paired Comparisons were then used to examine these two populations. The difference between the photogrammetry “R” and the known “R” range is between 0.001% and 0.874%. Additionally, we are 95% confident that the mean difference of the two techniques is between -0.33 and 0.51 feet. Since this interval contains zero, we can conclude that the two techniques do not differ.

Disciplines
Operations Research, Systems Engineering and Industrial Engineering
Degree
Doctor of Philosophy
Major
Industrial Engineering
Embargo Date
December 1, 2011
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OShieldsLara.pdf

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22.57 MB

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