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Naturalistic rapid deceleration data: Drivers aged 75 years and older

The data presented in this article are related to the research manuscript “Predictors of older drivers’ involvement in rapid deceleration events”, which investigates potential predictors of older drivers’ involvement in rapid deceleration events including measures of vision, cognitive function and d...

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Autores principales: Chevalier, Anna, Chevalier, Aran John, Clarke, Elizabeth, Coxon, Kristy, Brown, Julie, Rogers, Kris, Boufous, Soufiane, 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/PMC5114525/
https://www.ncbi.nlm.nih.gov/pubmed/27882338
http://dx.doi.org/10.1016/j.dib.2016.10.024
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author Chevalier, Anna
Chevalier, Aran John
Clarke, Elizabeth
Coxon, Kristy
Brown, Julie
Rogers, Kris
Boufous, Soufiane
Ivers, Rebecca
Keay, Lisa
author_facet Chevalier, Anna
Chevalier, Aran John
Clarke, Elizabeth
Coxon, Kristy
Brown, Julie
Rogers, Kris
Boufous, Soufiane
Ivers, Rebecca
Keay, Lisa
author_sort Chevalier, Anna
collection PubMed
description The data presented in this article are related to the research manuscript “Predictors of older drivers’ involvement in rapid deceleration events”, which investigates potential predictors of older drivers’ involvement in rapid deceleration events including measures of vision, cognitive function and driving confidence (A. Chevalier et al., 2016) [1]. In naturalistic driving studies such as this, when sample size is not large enough to allow crashes to be used to investigate driver safety, rapid deceleration events may be used as a surrogate safety measure. Naturalistic driving data were collected for up to 52 weeks from 182 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. Accelerometer data were recorded 32 times per second and Global Positioning System (GPS) data each second. To measure rapid deceleration behavior, rapid deceleration events (RDEs) were defined as having at least one data point at or above the deceleration threshold of 750 milli-g (7.35 m/s(2)). All events were constrained to a maximum 5 s duration. The dataset provided with this article contains 473 events, with a row per RDE. This article also contains information about data processing, treatment and quality control. The methods and data presented here may assist with planning and analysis of future studies into rapid deceleration behaviour using in-vehicle monitoring.
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spelling pubmed-51145252016-11-23 Naturalistic rapid deceleration data: Drivers aged 75 years and older Chevalier, Anna Chevalier, Aran John Clarke, Elizabeth Coxon, Kristy Brown, Julie Rogers, Kris Boufous, Soufiane Ivers, Rebecca Keay, Lisa Data Brief Data Article The data presented in this article are related to the research manuscript “Predictors of older drivers’ involvement in rapid deceleration events”, which investigates potential predictors of older drivers’ involvement in rapid deceleration events including measures of vision, cognitive function and driving confidence (A. Chevalier et al., 2016) [1]. In naturalistic driving studies such as this, when sample size is not large enough to allow crashes to be used to investigate driver safety, rapid deceleration events may be used as a surrogate safety measure. Naturalistic driving data were collected for up to 52 weeks from 182 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. Accelerometer data were recorded 32 times per second and Global Positioning System (GPS) data each second. To measure rapid deceleration behavior, rapid deceleration events (RDEs) were defined as having at least one data point at or above the deceleration threshold of 750 milli-g (7.35 m/s(2)). All events were constrained to a maximum 5 s duration. The dataset provided with this article contains 473 events, with a row per RDE. This article also contains information about data processing, treatment and quality control. The methods and data presented here may assist with planning and analysis of future studies into rapid deceleration behaviour using in-vehicle monitoring. Elsevier 2016-11-02 /pmc/articles/PMC5114525/ /pubmed/27882338 http://dx.doi.org/10.1016/j.dib.2016.10.024 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
Coxon, Kristy
Brown, Julie
Rogers, Kris
Boufous, Soufiane
Ivers, Rebecca
Keay, Lisa
Naturalistic rapid deceleration data: Drivers aged 75 years and older
title Naturalistic rapid deceleration data: Drivers aged 75 years and older
title_full Naturalistic rapid deceleration data: Drivers aged 75 years and older
title_fullStr Naturalistic rapid deceleration data: Drivers aged 75 years and older
title_full_unstemmed Naturalistic rapid deceleration data: Drivers aged 75 years and older
title_short Naturalistic rapid deceleration data: Drivers aged 75 years and older
title_sort naturalistic rapid deceleration data: drivers aged 75 years and older
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5114525/
https://www.ncbi.nlm.nih.gov/pubmed/27882338
http://dx.doi.org/10.1016/j.dib.2016.10.024
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