Conference proceeding
Linking GPS Data to GIS Databases in Naturalistic Studies: Examples from Drivers with Obstructive Sleep Apnea
Proceedings of the 8th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Vol.8, pp.148-154
06/2015
DOI: 10.17077/drivingassessment.1564
PMCID: PMC4673000
PMID: 26665183
Abstract
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.
Details
- Title: Subtitle
- Linking GPS Data to GIS Databases in Naturalistic Studies: Examples from Drivers with Obstructive Sleep Apnea
- Creators
- Jeffrey D Dawson - Dept. of Biostatistics, Univ. of Iowa College of Public Health, Iowa City, Iowa, USALixi Yu - Dept. of Geographical and Sustainability Sciences, Univ. of Iowa College of Liberal Arts and Sciences, Iowa City, Iowa, USAKelly Sewell - Dept. of Neurology, University of Iowa College of Medicine, Iowa City, Iowa, USAAdam Skibbe - Dept. of Neurological Sciences, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USANazan S AksanJon TippinMatthew Rizzo
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 8th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Vol.8, pp.148-154
- DOI
- 10.17077/drivingassessment.1564
- PMID
- 26665183
- PMCID
- PMC4673000
- Publisher
- University of Iowa; Iowa City, Iowa, USA
- Grant note
- R01 HL091917 / NHLBI NIH HHS R01 AG017177 / NIA NIH HHS
- Language
- English
- Date published
- 06/2015
- Academic Unit
- Neurology; Public Health Administration; Biostatistics
- Record Identifier
- 9983997485002771
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