Conference Proceeding
Authors: Jeffrey D Dawson (University of Iowa, Iowa City, IA) , Lixi Yu (University of Iowa, Iowa City, IA) , Kelly Seawell (University of Iowa, Iowa City, IA) , Adam Skibbe (University of Iowa, Iowa City, IA) , Nazan S Aksan (University of Iowa, Iowa City, IA) , Jon Tippin (University of Iowa, Iowa City, IA) , Matthew Rizzo (University of Nebraska Medical Center, Omaha, Nebraska)
In naturalistic studies, it is vital to give appropriate context when analyzing driving behaviors. Such contextualization can help address the hypotheses that explore a) how drivers perform within specific types of environment (e.g., road types, speed limits, etc.), and b) how often drivers are exposed to such specific environments. In order to perform this contextualization in an automated fashion, we are using Global Positioning System (GPS) data obtained at 1 Hz and merging this with Geographic Information Systems (GIS) databases maintained by the Iowa Department of Transportation (DOT). In this paper, we demonstrate our methods of doing this based on data from 43 drivers with obstructive sleep apnea (OSA). We also use maps from GIS software to illustrate how information can be displayed at the individual drive or day level, and we provide examples of some of the challenges that still need to be addressed.
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How to Cite: Dawson, J. , Yu, L. , Seawell, K. , Skibbe, A. , Aksan, N. , Tippin, J. & Rizzo, M. (2015) “Linking GPS Data to GIS Databases in Naturalistic Studies: Examples from Drivers with Obstructive Sleep Apnea”, Driving Assessment Conference. 8(2015). doi: https://doi.org/10.17077/drivingassessment.1564