Process Chain for Quantitative Evaluation of the Pre-crash Phase

1 Process Chain for Quantitative Evaluation of the Pre-crash Phase 

The concept for the process chain for the evaluation of measures taken before a collision responds to the challenges in evaluating real-world safety benefits using methods as described in Chap. 2. The objectives and requirements of the process 

The effectiveness of new measures should be quantitatively evaluated during the design and development phases, i.e., before market introduction, so approaches using retrospective analysis (e.g., based on accident data) are not applicable. The method must therefore not only be valid in the sense that it is able to capture the desired effect, but also be valid in its structure, assumptions, and internal procedures in order to produce a realistic and meaningful result. Therefore, real-world effectiveness requires statistical representativity. Classical methods such as subject studies in driving simulators lack this representativity considering a combination of different possible variations (e.g., subject sample, environmental conditions, etc.). The method of choice to fulfill these requirements is a simulation technique. 

A stochastic simulation can fulfill the requirements of representativity, economy, safety, and privacy. Reliability and validity of the procedure have to be evaluated. The method itself has evidently no feedback on the subject under investigation. As no 

Helmer, Development of a Methodology for the Evaluation of Active Safety using the Example of Preventive Pedestrian Protection, Springer Theses, 

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This section illustrates the results of the process chain for quantitative evaluation of the pre-crash phase as described in Sect. 3.1. A preventive pedestrian protection system is used as example (see Sect. 3.3) together with a simulation as described in Sect. 3.4. In order to explain the methodology behind the process chain, four virtual parameter studies of a preventive pedestrian protection system are performed and analyzed (Table 6.5) using a functional demonstrator ... 

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