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.
This 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.
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/