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Drivers' usage of driving automation systems in different contexts: A survey in China, Germany, Spain and USA
Design and Human Factors, IMS, Chalmers University of Technology, Gothenburg, Sweden.
Design and Human Factors, IMS, Chalmers University of Technology, Gothenburg, Sweden; Volvo Car Corporation, Gothenburg, Sweden.ORCID iD: 0000-0001-6381-2346
2023 (English)In: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 17, no 10, p. 2004-2019Article in journal (Refereed) Published
Abstract [en]

The purpose of the study was to investigate how drivers use assisted and automated driving systems (DAS), more specifically their usage of SAE Level 1 and Level 2 systems, in different situations. An online survey was distributed to 2500 respondents in China, Germany, Spain, and the USA. The final dataset consisted of 549 respondents, all non-professional drivers, with access to a minimum of a Level 1 system. A subset, 159 in total, had access also to a Level 2 DAS. The survey included questions on the attitude towards, access to, and usage of Level 1 and Level 2 systems in nine different situations respectively. The data was analysed on an individual and a national level. A cluster analysis showed two main groups: frequent and non-frequent users. On an individual level, the reported usage of Level 1 and Level 2 DAS respectively differed depending on traffic situation, weather and daylight conditions and driver state. Reports by respondents with access to both Level 1 and Level 2 systems did not reveal any statistically significant differences in usage between situations. The Spanish sample was the only one that showed a consistently different usage pattern compared to samples from China, Germany, and the USA.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2023. Vol. 17, no 10, p. 2004-2019
Keywords [en]
advanced driver assistance system, usage, international survey, automated driving support system, automated driving automation system, traffic situation, driving automation system
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-117128DOI: 10.1049/itr2.12392ISI: 001005021200001Scopus ID: 2-s2.0-85161547963OAI: oai:DiVA.org:oru-117128DiVA, id: diva2:1910742
Funder
Vinnova, 2017-01946Available from: 2024-11-05 Created: 2024-11-05 Last updated: 2024-11-06Bibliographically approved

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Novakazi, Fjollë

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