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Learning lessons for automated vehicle design- Using systems thinking to analyse and compare automation-related accidents across transport domains1.75 MB
Published VersionCC BY-NC-ND V4.0, Open Access
Journal article
Learning lessons for automated vehicle design: Using systems thinking to analyse and compare automation-related accidents across transport domains
Safety Science, Vol.153, pp.1-14
2022
Abstract
Automation is already on our roads, and advanced automated vehicles are anticipated to become a common feature in road transport systems in the near future. While this represents a new era for road systems, automation has existed in other transport systems for decades. The aim of this paper was to analyse accidents involving automated technologies across the transport modes to identify learning opportunities that could be applied in the design of automated vehicles and the wider road systems within which they will operate. Twenty-two investigation reports into automation-related accidents in transport modes traditionally using automation (aviation, maritime and rail) were identified and analysed using the AcciMap technique, with factors codified using a contributing factors taxonomy and analysed using network metrics. To determine their relevance to road automation, the results were compared with an analysis of three recent investigation reports into automated vehicle crashes. The comparison revealed similarities and differences between the contributory factors in the traditional modes and the emerging set of road automation crashes. Two key leverage points were identified: improved human factors integration into the design of automation in all modes; and reconsideration of regulatory approaches across transport domains to ensure they are appropriate for emerging technologies and their associated risks. The analysis also provides support for the utility of previously developed contributory factors taxonomy applied to compare transport domains.
Details
- Title
- Learning lessons for automated vehicle design: Using systems thinking to analyse and compare automation-related accidents across transport domains
- Authors
- Gemma Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceAlison O'Brien (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceNeville A Stanton (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems SciencePaul Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
- Publication details
- Safety Science, Vol.153, pp.1-14
- Publisher
- Elsevier BV
- Date published
- 2022
- DOI
- 10.1016/j.ssci.2022.105822
- ISSN
- 0925-7535
- Copyright note
- © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
- Grants
- Organisation Unit
- Centre for Human Factors and Systems Science; School of Health - Psychology; School of Law and Society
- Language
- English
- Record Identifier
- 99640275202621
- Output Type
- Journal article
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