Accident research 2.0: New methods for representative evaluation of integral safety in traffic

BMW has developed a procedure for rating Advanced Driver Assistance Systems (ADAS) benefits that integrates two distinct tools. The tool “S.A.F.E.R.” is designed to analyze the pre-crash phase. The aim of S.A.F.E.R. is to simulate all relevant processes in sufficient detail to obtain reproducible estimates of key indicators (effectiveness, false positives, etc.). The relevant processes include not only traffic and vehicle dynamics, but also environmental and most importantly human factors. Representative distributions of factors and parameters are obtained by taking the stochastic variation of all relevant parameters into account in the simulations. The second tool, known as “ICOS”, has been designed to provide a high-resolution, high-fidelity description of crash phase dynamics. If one converts the outputs of stochastic simulation into inputs for crash dynamics, the result is a comprehensive description of exactly how a safety system can reduce injuries. Applications currently focus on high-fidelity simulation of individual crashes in order to enhance our understanding and optimization of connected safety systems. An integrated simulation process thus allows an exact prediction of the effectiveness in individual cases in terms of injury severity. The development and rating of integral safety need to reflect the true efficiency in the field. The integrated approach described here could provide a valid and reproducible basis for rating connected systems of active and passive safety. In particular, “virtual experiments” using a traffic-based approach and incorporating models of all relevant processes constitute an essential element of the approach. Keynote speech at the 5th International Conference on ESAR "Expert Symposium on Accident Research", 7th to 8th September 2012 in Hannover.

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  • English

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  • Accession Number: 01497315
  • Record Type: Publication
  • Source Agency: Bundesanstalt für Straßenwesen (BASt)
  • ISBN: 978-3-95606-021-2
  • Files: ITRD
  • Created Date: Oct 9 2013 5:43AM