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A Taxonomic Odyssey: Evolution, Criticisms, and Future Directions of Driving Automation Taxonomies - The Case of SAE J3016
Department of Transport and Planning, Faculty of Civil Engineering and Geoscience, Delft University of Technology, the Netherlands.
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor System)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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2026 (English)In: Transportation Research Interdisciplinary Perspectives, E-ISSN 2590-1982, Vol. 36, article id 101858Article in journal (Refereed) Published
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 about its clarity and ability to incorporate emerging technologies . Therefore, this study explores how various stakeholders, including end users, vehicle manufacturers, and policymakers, use the driving automation taxonomy. The results show that driving automation taxonomy is communicated through media, incorporated into vehicle purchasing decisions for users, and utilised for external and internal communication by vehicle manufacturers and policymakers. The discussion highlights that utilising specialised terminology in automation enhances communication efficiency. 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. The study also highlights that, while SAE J3016 is being criticised, proposing a clearly better taxonomy is far from straightforward. However, we underscore 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
Elsevier, 2026. Vol. 36, article id 101858
National Category
Vehicle and Aerospace Engineering
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URN: urn:nbn:se:oru:diva-127184DOI: 10.1016/j.trip.2026.101858ISI: 001676310700001OAI: oai:DiVA.org:oru-127184DiVA, id: diva2:2037282
Available from: 2026-02-10 Created: 2026-02-10 Last updated: 2026-02-10Bibliographically approved

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Novakazi, Fjollë

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