Field Data Acquisition and Analysis Methods for Car Safety Development

Project manager
Emma Tivesten
Period
2008-12-15 - 2015-03-31

Ongoing field data studies (e.g. FOT, NDS) offer possibilities to address safety issues with respect to safe driving. This data, combined with conventional accident data and other sources, enables new collection and analysis methods to formulate improved safety requirements and strategies within the car safety development process. The overall objective with this project is to build up competence within data acquisition and analysis methods and to create objective input data measures of human aspects in critical situations as well as normal driving. This project focuses on real world knowledge, the first step of car safety development.

Short facts

Project title: Field Data Acquisition and Analysis Methods for Car Safety Development
Project type:
Research area:
Safety performance evaluation
Financier(s):
FFI
Partner(s):
Volvo Car Corporation, Chalmers
Period:
-

Project publications

Real world data on driver behavior in normal driving and critical situations are essential for car safety development. Data collection and analysis methods that provide insight into the prevalence of crash contributing factors (e.g., drowsiness, distraction)
Author(s)
Emma Tivesten
Year of publication
2014
Introduction Visual–manual (VM) phone tasks (i.e., texting, dialing, reading) are associated with an increased crash/near-crash risk. This study investigated how the driving context influences drivers' decisions to engage in VM phone tasks in naturalistic driving. Method
Author(s)
Emma Tivesten, Marco Dozza
Published in
Journal of Safety Research Volume 53, June 2015, Pages 87-96
Year of publication
2015
Naturalistic driving studies show that drivers engaged in complex visual-manual tasks face an increased risk of a crash or near-crash. Tasks that require many glances and a high proportion of long glances away from the road
Author(s)
Emma Tivesten, Marco Dozza
Published in
Transportation Research Part F: Traffic Psychology and Behaviour, 26, Part A(0), 258-272.
Year of publication
2014
Statistical accident data plays an important role for traffic safety development involving the road system, vehicle design, and driver education. Vehicle manufacturers use data from accident mail surveys as an integral part of the product development
Author(s)
Emma Tivesten, S. Jonsson, Lotta Jakobsson, Hans Norin
Published in
Accident Analysis and Prevention, 48, pp. 401-415
Year of publication
2012
Project
Field Data Acquisition and Analysis Methods for Car Safety Development (associated project)
Real world data is important for safety development within the road transportation system. For car safety development in particular, methods to collect and analyse real world data on driver behaviour from normal driving, incidents and accidents
Author(s)
Emma Tivesten
Year of publication
2012
Project
Field Data Acquisition and Analysis Methods for Car Safety Development (associated project)

Safer – Vehicle and Traffic Safety Centre

SAFER is the open research arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.

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