Naturalistic speeding data : drivers aged 75 years and older

Anna Chevalier, Aran John Chevalier, Elizabeth Clarke, John Wall, Kristy Coxon, Julie Brown, Rebecca Ivers, Lisa Keay

Research output: Contribution to journalArticlepeer-review

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), 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 1 km/h or more, with a 3% tolerance, above a single speed limit, averaged over 30 s. The data contains a row per 124,374 speed events. This article contains information about data processing and quality control.
Original languageEnglish
Pages (from-to)136-141
Number of pages6
JournalData in Brief
Volume8
DOIs
Publication statusPublished - 2016

Open Access - Access Right Statement

© 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/.

Keywords

  • older automobile drivers
  • speed
  • traffic safety

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