Conference proceeding
Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea
Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Vol.9, pp.23-29
06/27/2017
DOI: 10.17077/drivingassessment.1610
Abstract
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.
Details
- Title: Subtitle
- Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea
- Creators
- Jeffrey D DawsonElizabeth BairNazan AksanKelly SewellJon TippinMatthew Rizzo
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Vol.9, pp.23-29
- DOI
- 10.17077/drivingassessment.1610
- Publisher
- University of Iowa; Iowa City, Iowa, USA
- Language
- English
- Date published
- 06/27/2017
- Academic Unit
- Neurology; Public Health Administration; Biostatistics
- Record Identifier
- 9984213373302771
Metrics
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