Identifying the Causes of Road Crashes in Europe

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 organization 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.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Appendices; Figures; References; Tables;
  • Pagination: pp 13-22
  • Monograph Title: Annals of Advances in Automotive Medicine. 57th Annual Scientific Conference, Québec City, Canada, September 23-25, 2013
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01528279
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 4 2014 2:13PM