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Safety Performance Assessment of Assisted and Automated Driving in Traffic: Simulation as Knowledge Synthesis

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Automated Driving

Abstract

Advanced driver assistance and automated driving can influence traffic safety in a variety of ways. The development and implementation of safety-relevant functions require prospective, quantitative assessment of their traffic safety impacts. Both benefits and risks can be quantified using simulation-based virtual experimental techniques. To this end, traffic phenomena are modeled taking into account key safety-relevant processes; “stochastic” simulation is performed on large, representative virtual samples. The virtual representations of traffic phenomena are based on detailed, stochastic models of drivers, vehicles, traffic flow, and the road environment, together with their interactions. The models incorporate knowledge from field operational test (FOT), naturalistic driving studies (NDS), laboratory and driving simulator experiments, and other sources. Simulation serves to synthesize this knowledge. Large-scale, comprehensive simulations could help in identifying and evaluating the relevant situations in which automated driving impacts traffic safety. One key objective is a standardized harmonized methodology, agreed upon by all stakeholders, for comprehensive assessment of the impact of new driver assistance or automated driving functions on traffic safety.

This chapter is largely based on: Klaus Kompaß et al.: Fahrerassistenz und Aktive Sicherheit. Wirksamkeit—Beherrschbarkeit—Absicherung. expert verlag, Renningen 2015

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Notes

  1. 1.

    “Costs” in this context is used as collective term for unintended side effects, not necessarily in the monetary sense.

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Author information

Authors and Affiliations

  1. BMW AG, Munich, Germany

    Thomas Helmer, Klaus Kompaß, Lei Wang & Thomas Kühbeck

  2. REK Consulting, Otterfing, Germany

    Ronald Kates

Authors
  1. Thomas Helmer
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  2. Klaus Kompaß
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  3. Lei Wang
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  4. Thomas Kühbeck
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  5. Ronald Kates
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Correspondence to Thomas Helmer .

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Editors and Affiliations

  1. Institute of Electrical Measurement and Measurement Signal Processing, Virtual Vehicle Research Center and Graz University of Technology, Graz, Austria

    Daniel Watzenig

  2. Institute of Automation and Control, Graz University of Technology, Graz, Austria

    Martin Horn

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Helmer, T., Kompaß, K., Wang, L., Kühbeck, T., Kates, R. (2017). Safety Performance Assessment of Assisted and Automated Driving in Traffic: Simulation as Knowledge Synthesis. In: Watzenig, D., Horn, M. (eds) Automated Driving. Springer, Cham. https://doi.org/10.1007/978-3-319-31895-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-31895-0_20

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