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Safety enhancement by automated driving: What are the relevant scenarios?

  • Technical University of Munich

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Automated driving offers great possibilities in traffic safety advancement. However, evidence of safety cannot be provided by current validation methods. One promising solution to overcome the approval trap (Winner, 2015) could be the scenario-based approach. Unfortunately, this approach still results in a huge number of test cases. One possible way out is to show the current, incorrect path in the argumentation and strategy of vehicle automation, and focus on the systemic mechanisms of road traffic safety. This paper therefore argues the case for defining relevant scenarios and analysing them systemically in order to ultimately reduce the test cases. The relevant scenarios are based on the strengths and weaknesses, in terms of the driving task, for both the human driver and automation. Finally, scenarios as criteria for exclusion are being proposed in order to systemically assess the contribution of the human driver and automation to road safety.

Original languageEnglish
Pages (from-to)1686-1690
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
Volume64
Issue number1
DOIs
StatePublished - 2020
Event64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020 - Virtual, Online
Duration: 5 Oct 20209 Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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