TY - JOUR AU - Keay Lisa AU - Ivers R. AU - Coxon K. AU - Clarke E. AU - Brown J. AU - Boufous S. AU - Chevalier A. AU - Rogers K. AU - Chevalier A. AB -

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.

AD - The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia.
Safer Roads Consulting, 53 Lachlan St, Thirroul, NSW 2515, Australia.
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.
The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia; School of Science and Health, Western Sydney University, Narellan Road, Campbelltown, NSW 2560, Australia.
Neuroscience Research Australia (NeuRA), Margarete Ainsworth Building, Barker St, Randwick, NSW 2031, Australia.
Transport and Road Safety Research (TARS), Level 1, West Wing, Old Main Building, University of NSW, Sydney, NSW 2052, Australia. AN - 27882338 BT - Data BriefData BriefData Brief C2 - PMC5114525 CN - [IF]: 0.065 DP - NLM ET - 2016/11/25 J2 - Data in brief LA - eng LB - AUS
INJ
OCS
FY17 N1 - Chevalier, Anna
Chevalier, Aran John
Clarke, Elizabeth
Coxon, Kristy
Brown, Julie
Rogers, Kris
Boufous, Soufiane
Ivers, Rebecca
Keay, Lisa
Netherlands
Data Brief. 2016 Nov 2;9:909-916. eCollection 2016 Dec. N2 -

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.

PY - 2016 SN - 2352-3409 (Linking) SP - 909 EP - 916 ST - Data in briefData in brief T2 - Data BriefData BriefData Brief TI - Naturalistic rapid deceleration data: Drivers aged 75 years and older VL - 9 Y2 - FY17 ER -