Methodology to Introduce Accident Scenarios in Driving Simulators for the Analysis of Drivers’ Behavior

Simulators provide a fairly realistic reproduction of driving environments so that the behavior of drivers immersed in such systems is representative of what can be expected on the road. However, situations and scenarios which are introduced in these simulators are sometimes too approximately defined and not very realistic. The authors have thus developed a methodology to simulate accident scenarios. The scenario concept used concerns a group of accidents presenting similarities from the point of view of the chain of events leading to the collision. The sequential analysis method used to group accidents in the form of scenarios is based on a segmentation of their progression. A set of scenarios have been spatio-temporally implemented into the IFSTTAR (French Institute of Science and Technology for Transport) simulator using data from real accidents collected in the French in-depth accidents investigations program EDA from the research unit, Accident Mechanism analysis. They have then been validated before being submitted to different populations of drivers. Methodological aspects of this procedure are described and past use of such scenarios is evoked: for example to study drivers’ capacities as a function of driving experience, or the effects of alcohol and medicines. Finally, some examples are given concerning future development, e.g. accident scenarios to be introduced in a powered two-wheeled simulator.

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  • Authors:
    • Berthelon, Catherine
    • Aillerie, Isabelle
    • Perrin, Christophe
    • Espié, Stéphane
  • Conference:
  • Publication Date: 2011

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 10p
  • Monograph Title: 3rd International Conference on Road Safety and Simulation

Subject/Index Terms

Filing Info

  • Accession Number: 01501735
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2013 7:52AM