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Identifying the causes of road crashes in Europe

Pete Thomas ; Andrew Morris ; Rachel Talbot ; Helen Fagerlind (Institutionen för tillämpad mekanik, Fordonssäkerhet)
Annals of Advances in Automotive Medicine (1943-2461). Vol. 57 (2013), p. 13-22.
[Konferensbidrag, refereegranskat]

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 identified as 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. © Annals of Advances in Automotive Medicine.

Nyckelord: Accident causation; Developed model; Industrial accident; Interpretation errors; Observation errors; Planning error; Potential values; Traffic environment

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Denna post skapades 2015-01-08. Senast ändrad 2015-12-02.
CPL Pubid: 210179


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Institutionen för tillämpad mekanik, Fordonssäkerhet



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