The most commonly used statistical analyses in simulator validation are analysis of variance (ANOVA) and comparison of means. The UCF Driving Simulator validation study described here utilized the latter. Volunteers from a representative sample of the driving population, both male and female, ranging in age from 17 years to the mix-sixties were solicited for participation in the study. No information related to driving history such as accident involvement or traffic violations was required of the subjects. The only requirements was a valid Florida driver's licence and proof of liability insurance. The subjects were selected from students, faculty, staff and visitors to the UCF community. They were asked to drive a university-owned car the entire length of Gemini Blvd. and North Orion Blvd. from Alafaya Trail to McCulloch Road and back (See Figure 5). The only visible instrument in the vehicle was a DMI (Distance Measurement Instrument). The DMI was operated by a member of the research team who was seated next to the driver in the passenger seat. The DMI provided a log of instantaneous speed, cumulative distance and elapsed time at designated points along the route for subsequent analysis. Consequently, the test drives were conducted during daylight off-peak periods to avoid morning and evening rush hours, resulting in little or no impact from the normal traffic flow.


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    Title :

    Driving Simulator Technologies


    Contributors:
    E. Radwan (author) / H. Al-Deek (author) / C. Bauer (author) / H. Klee (author)

    Publication date :

    1998


    Size :

    20 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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