Abstract
The data presented in this article are related to the research article entitled “A longitudinal investigation of the predictors of older drivers׳ speeding behavior” (Chevalier et al., 2016) [1], wherein these speed events were used to investigate older drivers speeding behavior and the influence of cognition, vision, functional decline, and self-reported citations and crashes on speeding behavior over a year of driving. Naturalistic speeding behavior data were collected for up to 52 weeks from volunteer drivers aged 75–94 years (median 80 years, 52% male) living in the suburban outskirts of Sydney. Driving data were collected using an in-vehicle monitoring device. Global Positioning System (GPS) data were recorded at each second and determined driving speed through triangulation of satellite collected location data. Driving speed data were linked with mapped speed zone data based on a service-provider database. To measure speeding behavior, speed events were defined as driving 1km/h or more, with a 3% tolerance, above a single speed limit, averaged over 30s. The data contains a row per 124,374 speed events. This article contains information about data processing and quality control.
Highlights
The data presented in this article are related to the research article entitled “A longitudinal investigation of the predictors of older drivers' speeding behavior” (Chevalier et al, 2016) [1], wherein these speed events were used to investigate older drivers speeding behavior and the influence of cognition, vision, functional decline, and self-reported citations and crashes on speeding behavior over a year of driving
Figure The in-vehicle monitoring device consisted of a C4D Data Recorder with an external Global Positioning System (GPS) receiver
These data were linked with supplier-provided mapped speed zone data Processed, assessed for quality control GPS data were linked with speed zone data
Summary
Volunteer participants were from the control group of a randomized control trial (n 1⁄4380) [2] who agreed to have their vehicle instrumented (n 1⁄4182/190). 80 years) and 52% (95/182) were male. Participants resided in the urban outskirts of north-west Sydney (in the Hills, Hornsby, Kur-ring-gai and Parramatta Local Government Areas); held a driver's license; owned and were the primary driver of a vehicle (undertaking greater than 80% of driving). Participants were excluded if they received greater than two errors on the Short Portable Mental Status Questionnaire cognitive assessment [3]. Data were collected between July 2012 and May 2014. The in-vehicle monitoring data has been linked to demographic information about participants in other analyses [1,4]
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