Automated vehicles’ safety: The multidimensionality of disengagement reports
The concerns around the safety of automated vehicles (AVs) persist. This study examines AV disengagements using reports from the California Department of Motor Vehicles, focusing on the multidimensional factors influencing disengagements during Level 3 AV testing. Multidimensional factors include technological, environmental, human, and organizational aspects. The findings reveal that disengagements are not solely due to technological failures but also involve complex interactions with human perceptions, environmental conditions, and organizational characteristics of testing entities. Notably, although technological and environmental disengagements have increased over time, human-related disengagements have decreased, implying that advancements in AV technology are pushing vehicles into more complex operational scenarios. This study highlights the need for a holistic, multidimensional approach to AV safety by integrating technological, social, and environmental perspectives to better understand and address disengagements. The contributions of this study are twofold. First, it empirically demonstrates the multidimensionality of disengagement reports, which can be perceived as the last hurdle to Level 4 AVs. Second, this paper demonstrates that technological innovations do not happen in a bubble. Instead, they are accompanied, triggered, or are themselves stimulated by social interactions and their environments. These implications are critical for designing responsible AV technologies and informing policy framework. • Technological, environmental, human, and organizational factors are linked to AV disengagement patterns. • Organizational factors also have an impact on the initiation of disengagements. • Disengagements caused by technology and the environment actually increased as time passed. • We call a for multidimensional–and consequently, multidisciplinary–perspective on AV safety.
Authors
- Dasom Lee (ORCID: https://orcid.org/0000-0002-6387-0121)
- Le Anh Nguyen Long (ORCID: https://orcid.org/0000-0002-6188-9646)
- Moon Ki Choi (ORCID: https://orcid.org/0000-0001-8002-0113)
Institutions
- Korea Advanced Institute of Science and Technology (KR)
- University of Twente (NL)
Publication Details
- Journal
- Heliyon
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1016/j.heliyon.2025.e42747
- Citations
- 2
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 4.88
Funders
- National Research Foundation
- Ministry of Education
- National Research Foundation of Korea
- Korea Advanced Institute of Science and Technology