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Naturalistic speeding data: Drivers aged 75 years and older

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...

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Autores principales: Chevalier, Anna, Chevalier, Aran John, Clarke, Elizabeth, Wall, John, Coxon, Kristy, Brown, Julie, Ivers, Rebecca, Keay, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889889/
https://www.ncbi.nlm.nih.gov/pubmed/27294182
http://dx.doi.org/10.1016/j.dib.2016.05.016
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author Chevalier, Anna
Chevalier, Aran John
Clarke, Elizabeth
Wall, John
Coxon, Kristy
Brown, Julie
Ivers, Rebecca
Keay, Lisa
author_facet Chevalier, Anna
Chevalier, Aran John
Clarke, Elizabeth
Wall, John
Coxon, Kristy
Brown, Julie
Ivers, Rebecca
Keay, Lisa
author_sort Chevalier, Anna
collection PubMed
description 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 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.
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spelling pubmed-48898892016-06-10 Naturalistic speeding data: Drivers aged 75 years and older Chevalier, Anna Chevalier, Aran John Clarke, Elizabeth Wall, John Coxon, Kristy Brown, Julie Ivers, Rebecca Keay, Lisa Data Brief Data Article 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 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. Elsevier 2016-05-16 /pmc/articles/PMC4889889/ /pubmed/27294182 http://dx.doi.org/10.1016/j.dib.2016.05.016 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Chevalier, Anna
Chevalier, Aran John
Clarke, Elizabeth
Wall, John
Coxon, Kristy
Brown, Julie
Ivers, Rebecca
Keay, Lisa
Naturalistic speeding data: Drivers aged 75 years and older
title Naturalistic speeding data: Drivers aged 75 years and older
title_full Naturalistic speeding data: Drivers aged 75 years and older
title_fullStr Naturalistic speeding data: Drivers aged 75 years and older
title_full_unstemmed Naturalistic speeding data: Drivers aged 75 years and older
title_short Naturalistic speeding data: Drivers aged 75 years and older
title_sort naturalistic speeding data: drivers aged 75 years and older
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889889/
https://www.ncbi.nlm.nih.gov/pubmed/27294182
http://dx.doi.org/10.1016/j.dib.2016.05.016
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