File043 paper final version.pdf (688.29 kB)
Download fileIdentifying the causes of road crashes in Europe
journal contribution
posted on 2013-05-08, 14:07 authored by Pete Thomas, Rachel TalbotRachel Talbot, Andrew MorrisAndrew Morris, Helen FagerlindThis research applies a recently developed model of accident causation, developed to investigate industrial
accidents, to a specially gathered sample of 997 crashes investigated in-depth in 6 countries. Based on the work of Hollnagel the
model considers a collision to be a consequence of a breakdown in the interaction between road users, vehicles and the
organisation of the traffic environment. 54% of road users experienced interpretation errors while 44% made observation errors
and 37% planning errors. In contrast to other studies only 11% of drivers were distracted and 8% inattentive. There was
remarkably little variation in these errors between the main road user types. The application of the model to future in-depth crash
studies offers the opportunity to identify new measures to improve safety and to mitigate the social impact of collisions.
Examples given include the potential value of co-driver advisory technologies to reduce observation errors and predictive
technologies to avoid conflicting interactions between road users.
History
School
- Design
Citation
THOMAS, P. ... et al., 2013. Identifying the causes of road crashes in Europe. Annals of the Association for Automotive Medicine, Annual Scientific Conference, 57, 10pp.Publisher
© AAAMVersion
- AM (Accepted Manuscript)
Publication date
2013Notes
This conference paper was accepted for publication in the Annals of the Association for Automotive Medicine. The AAM website is at: http://www.aaam.org/Language
- en