Keywords
Scenario, Simulation, Skill building, Tractor trailer
Abstract
A simulated inner-city training scenario was found to increase skills in the area of turning when compared with a simulated off-track training scenario. To answer this question, two groups of ten participants (5 women and 5 men) were tested using three scripted scenarios focusing on left and right turns. The first training scenario (control group) is an off-track training scenario, which consists of a large asphalt lot and the use of orange cones; the second training scenario (experimental group) is an inner-city training scenario without the presence of vehicular traffic; and the third scenario (test scenario) is an inner-city scenario with the presence of vehicular traffic. A subject matter expert, who is also a former driver and trainer, evaluated and scored all participants on four critical turns (2 left and 2 rights). The apparatus used for this study was the V-sim non-motion simulator from General Electric (GE). A 2 x 4 factorial analysis was utilized to examine conditional differences as well as gender differences. While there were no gender differences, the results for overall turns were significant, F(1, 16) = 7.14, p = .017, η2 = 3.09. The mean for the control group was (M = 20.50, SD = 9.59) with the experimental group at, (M = 31.10, SD = 7.26).
Notes
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Graduation Date
2004
Semester
Spring
Advisor
Kincaid, J. Peter
Degree
Master of Science (M.S.)
College
College of Arts and Sciences
Department
Modeling and Simulation
Degree Program
Modeling and Simulation
Format
application/pdf
Identifier
CFE0000001
URL
http://purl.fcla.edu/fcla/etd/CFE0000001
Language
English
Release Date
January 2009
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Subjects
Arts and Sciences -- Dissertations, Academic; Dissertations, Academic -- Arts and Sciences
STARS Citation
Whitmire, James, "Tractor-trailer Simulation And The Assessment Of Training Scenarios For City-driving: Skill Building In The Area Of Left And Right Turns" (2004). Electronic Theses and Dissertations. 17.
https://stars.library.ucf.edu/etd/17