Naturalistic rapid deceleration data: Drivers aged 75 years and older
Anna Chevalier,
Aran John Chevalier,
Elizabeth Clarke,
Kristy Coxon,
Julie Brown,
Kris Rogers,
Soufiane Boufous,
Rebecca Ivers,
Lisa Keay
Affiliations
Anna Chevalier
The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia
Aran John Chevalier
Safer Roads Consulting, 53 Lachlan St, Thirroul, NSW 2515, Australia
Elizabeth Clarke
Kolling Institute of Medical Research, Sydney Medical School, The University of Sydney, Level 10, Kolling Building 6, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
Kristy Coxon
The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia
Julie Brown
Neuroscience Research Australia (NeuRA), Margarete Ainsworth Building, Barker St, Randwick, NSW 2031, Australia
Kris Rogers
The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia
Soufiane Boufous
Transport and Road Safety Research (TARS), Level 1, West Wing, Old Main Building, University of NSW, Sydney, NSW 2052, Australia
Rebecca Ivers
The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia
Lisa Keay
The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia
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/s2). 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.
