Conference Proceeding
Authors: Jeffrey D Dawson (Dept. of Biostatistics, University of Iowa College of Public Health, Iowa City, IA) , Elizabeth Bair (Dept. of Biostatistics, University of Iowa College of Public Health, Iowa City, IA) , Nazan Aksan (Dept. of Neurology, University of Iowa College of Medicine Iowa City, IA) , Kelly Sewell (Dept. of Geographical and Sustainability Sciences, University of Iowa College of Liberal Arts and Sciences) , John Tippin (Dept. of Neurology, University of Iowa College of Medicine Iowa City, IA) , Matthew Rizzo (Dept. of Neurological Sciences, College of Medicine, University of Nebraska Medical Center Omaha, NE)
In naturalistic studies, Global Positioning System (GPS) data and date/time stamps can link driver exposure to specific environments (e.g., road types, speed limits, night driving, etc.), providing valuable context for analyzing critical events, such as crashes, near crashes, and breaches of accelerometer limits. In previous work, we showed how to automate this contextualization, using GPS data obtained at 1 Hz and merging this with Geographic Information Systems (GIS) databases maintained by the Iowa Department of Transportation (DOT). Here we further demonstrate our methods by analyzing data from 80 drivers with obstructive sleep apnea (OSA) and 48 controls, and comparing the two groups with respect to several factors of interest. The majority of comparisons found no difference between groups, suggesting similar patterns of exposures to driving environments in OSA and control drivers. However, OSA drivers appeared to spend slightly more time on roads with annual traffic counts of 500-10,000 and less time driving on wider highways, during twilight, and on roads with 10,000-25,000 annual traffic counts.
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How to Cite: Dawson, J. , Bair, E. , Aksan, N. , Sewell, K. , Tippin, J. & Rizzo, M. (2017) “Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea”, Driving Assessment Conference. 9(2017). doi: https://doi.org/10.17077/drivingassessment.1610