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A Taxonomic Odyssey: Reflections on the Evolution, Criticisms, and Future Directions of Driving Automation Taxonomies
Department of Transport and Planning, Faculty of Civil Engineering and Geoscience, Delft University of Technology, The Netherlands.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-6381-2346
Section F4 Automated Driving, Federal Highway Research Institute (BASt), Germany.
RDW, Netherlands Vehicle Authority, The Netherlands.
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2024 (English)Manuscript (preprint) (Other academic)
Abstract [en]

While the Society of Automotive Engineers (SAE) International's classification system (J3016) has provided a framework for categorising sustained driving automation systems, concerns have arisen regarding its clarity and ability to incorporate emerging technologies, which ultimately diminishes its value for stakeholders. To address these concerns, we organised a workshop targeting stakeholders, including end-users, vehicle manufacturers/technical experts and policymakers, to understand their needs and perspectives regarding taxonomy usage. The results showed that driving automation taxonomy is communicated through media, incorporated into vehicle purchasing decisions, and utilised for external and internal communication by vehicle manufacturers and policymakers. The discussion highlights that utilising specialised terminology in automation brings convenience and efficiency in communication. However, there is also a discrepancy between the SAE J3016, which is today's prevalent taxonomy, and their audience in terms of both (1) clarity provided by the taxonomy vs. understanding of the stakeholders and (2) topics addressed by the taxonomy vs. needs of the stakeholders. This study underscores the importance of revising and updating the current taxonomy to align with stakeholder needs and technological advancements. By enhancing the clarity and relevance of the driving automation taxonomy, stakeholders can make more informed decisions, fostering innovation and improving communication across the industry.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Automation, Driving Automation, Levels of Automation, Policy
National Category
Other Engineering and Technologies
Research subject
Human-Computer Interaction; Information technology
Identifiers
URN: urn:nbn:se:oru:diva-118316DOI: 10.2139/ssrn.4938778OAI: oai:DiVA.org:oru-118316DiVA, id: diva2:1926232
Available from: 2025-01-10 Created: 2025-01-10 Last updated: 2025-02-18Bibliographically approved

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Novakazi, Fjollë

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf