Report
Analysis of Naturalistic Driving Study Data: Roadway Departures on Rural Two-lane Curves
Transportation Research Board, National Academies of Sciences, Engineering, and Medicine.
01/2014
DOI: 10.17226/22317
Abstract
The purpose of this work was to assess the cross-platform validity of two driving simulators and an instrumented vehicle operated on a closed driving course. Characteristics of vehicle speed and performance to an Alert Response Task were evaluated using a MiniSim, manufactured by the National Advanced Driving Simulator group, a Realtime Technologies, Inc. desktop simulator, and an instrumented 2005 Toyota Highlander. Results indicate a high degree of relative validity between the three research platforms with mean and standard deviation of vehicle speeds showing near identical patterns under various secondary task demands. Performance on an auditory Alert Response Task also showed a high degree of consistency across the three research platforms. Performance on a visual Alert Response Task appeared to be highly reactive with the testing conditions present in the instrumented vehicle evaluations. These data have practical implications for the use of driving simulators in experimentally controlled research and also make suggestions about the use of visual warnings to elicit emergency response behaviors in drivers.
Details
- Title: Subtitle
- Analysis of Naturalistic Driving Study Data: Roadway Departures on Rural Two-lane Curves
- Creators
- Shauna L Hallmark - Iowa State UniversityNicole Oneyear - Iowa State UniversitySamantha Tyner - Iowa State UniversityBo Wang - Iowa State UniversityDaniel V McGehee - University of IowaCher Carney - University of Iowa
- Resource Type
- Report
- DOI
- 10.17226/22317
- Publisher
- Transportation Research Board, National Academies of Sciences, Engineering, and Medicine.; Washington, D.C.
- Number of pages
- ix, 80 pages
- Copyright
- Copyright © 2014 the authors
- Comment
- SHRP 2 Report S2-S08D-RW-1; The Second Strategic Highway Research Program
- Language
- English
- Date published
- 01/2014
- Academic Unit
- Occupational and Environmental Health; Emergency Medicine; Driving Safety Research Institute; Industrial and Systems Engineering; Center for Social Science Innovation; Injury Prevention Research Center; Public Policy Center (Archive)
- Record Identifier
- 9984475742402771
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