Contextualizing Naturalistic Driving Data in a Rural State Among Drivers With and Without Obstructive Sleep Apnea
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, the authors 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 the authors further demonstrate their 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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Supplemental Notes:
- Abstract reprinted with permission of University of Iowa Public Policy Center.
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Corporate Authors:
University of Iowa, Iowa City
Public Policy Center
Department of Civil and Environmental Engineering
Iowa City, IA United States 52242-1192 -
Authors:
- Dawson, Jeffrey D
- Bair, Elizabeth
- Aksan, Nazan
- Sewell, Kelly
- Tippin, Jon
- Rizzo, Matthew
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Conference:
- 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
- Location: Manchester Village Vermont, United States
- Date: 2017-6-26 to 2017-6-29
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: pp 23-29
- Monograph Title: Driving Assessment 2017: Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
Subject/Index Terms
- TRT Terms: Apnea; Automatic data collection systems; Drivers; Geographic information systems; Global Positioning System; Rural areas; Sleep disorders
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01664188
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 26 2018 9:19AM