Drivers' usage of driving automation systems in different contexts: A survey in China, Germany, Spain and USA
2023 (Engelska)Ingår i: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 17, nr 10, s. 2004-2019Artikel i tidskrift (Refereegranskat) 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.
Ort, förlag, år, upplaga, sidor
Institution of Engineering and Technology, 2023. Vol. 17, nr 10, s. 2004-2019
Nyckelord [en]
advanced driver assistance system, usage, international survey, automated driving support system, automated driving automation system, traffic situation, driving automation system
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign)
Identifikatorer
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
Forskningsfinansiär
Vinnova, 2017-019462024-11-052024-11-052024-11-06Bibliografiskt granskad