Details

Autor(en) / Beteiligte

• Grabbe, Niklas
• Kellnberger, Anna
• Aydin, Beyza
• Bengler, Klaus

Titel

Safety of automated driving: The need for a systems approach and application of the Functional Resonance Analysis Method

Ist Teil von

• Safety science, 2020-06, Vol.126, p.104665, Article 104665

Ort / Verlag

Amsterdam: Elsevier Ltd

Erscheinungsjahr

2020

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •We argues in favour of the use of FRAM to assess automation’s contribution to the safety of the driving task.•We present FRAM with a case illustration of an overtaking vehicle to prove the applicability.•We demonstrate FRAM’s suitability, even though methodological issues arise.•We assume FRAM as a useful tool to reveal hidden risks of automated driving. Automated driving is technically advanced but proof of its safety is required for a successful market launch. Unfortunately, this evidence cannot be provided by current approval methods, something that is referred to as the so-called approval trap (Winner, 2015) and new test methods must be developed. This paper therefore argues in favour of the functional resonance analysis method (FRAM) as a risk assessment method in the development process of highly-automated vehicles, primarily to derive system design recommendations and secondly to provide essential insights into reducing the validation work. It begins with a systematic derivation of the benefits and suitability of FRAM. FRAM is then applied to an overtaking manoeuvre on a rural road in a road traffic case study to evaluate its suitability in more detail, followed by a discussion of the first application of FRAM to the road system and a presentation of its strengths as well as limitations. Finally, the conclusions consider the importance of the FRAM method in assessing risk and safety proactively for automated driving, also illustrating the need for further research.