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Open AccessArticle

Naturalistic Driving: A Framework and Advances in Using Big Data

by Frank Knoefel 1,2,3,4,5,*, Bruce Wallace 2,4,5, Rafik Goubran 2,4,5 and Shawn Marshall 3,6
Bruyère Continuing Care, Ottawa, ON K1N 5C8, Canada
Bruyère Research Institute, Ottawa, ON K1N 5C8, Canada
Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8L6, Canada
Department of Systems and Computer Engineering, Faculty of Engineering and Design, Carleton University, Ottawa, ON K1S 5B6, Canada
AGE-WELL NIH—SAM3, Ottawa, ON K1N 5C8, Canada
Ottawa Health Research Institute, The Ottawa Hospital, Ottawa, ON K1Y 4E9, Canada
Author to whom correspondence should be addressed.
Geriatrics 2018, 3(2), 16;
Received: 2 February 2018 / Revised: 22 March 2018 / Accepted: 24 March 2018 / Published: 29 March 2018
(This article belongs to the Special Issue Aging and Driving)
Driving is an activity that facilitates physical, cognitive, and social stimulation in older adults, ultimately leading to better physical and cognitive health. However, aging is associated with declines in vision, physical health, and cognitive health, all of which can affect driving ability. One way of assessing driving ability is with the use of sensors in the older adult’s own vehicle. This paper provides a framework for driving assessment and addresses how naturalistic driving studies can assist in such assessments. The framework includes driving characteristics (how much driving, speed, position, type of road), actions and reactions (lane changes, intersections, passing, merging, traffic lights, pedestrians, other vehicles), destinations (variety and distance, sequencing and route planning), and driving conditions (time of day and season). Data from a subset of Ottawa drivers from the Candrive study is used to illustrate the use of naturalistic driving data. Challenges in using naturalistic driving big data and the changing technology in vehicles are discussed. View Full-Text
Keywords: driving assessment; naturalistic driving study; big data analysis; framework driving assessment; naturalistic driving study; big data analysis; framework
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Knoefel, F.; Wallace, B.; Goubran, R.; Marshall, S. Naturalistic Driving: A Framework and Advances in Using Big Data. Geriatrics 2018, 3, 16.

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