A Multi-Method Approach to Understanding Drivers’ Experiences and Behavior Under Partial Vehicle Automation
Automated vehicles have the potential to improve safety and mobility. At lower levels of automation (Level 2), drivers are required to supervise the automation and be prepared to intervene as needed to maintain safety. The consequences of these technologies on driver behavior are not yet fully understood, especially as real-world testing has been less common in research studies. The current study sought to evaluate how drivers respond and adapt to vehicle automation systems in real-world scenarios. Drivers with no prior experience with vehicle automation were exposed to different experimental protocols and measurements, including several weeks of driving exposure in real-world settings. Three methods, experimental, naturalistic, and survey, were implemented as part of a single longitudinal study. The complete details for each method and the corresponding results are fully contained in the different parts of this report.
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- Summary URL:
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Supplemental Notes:
- © 2023, AAA Foundation for Traffic Safety.
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Corporate Authors:
AAA Foundation for Traffic Safety
Washington, DC United States -
Authors:
- Strayer, David L
- Cooper, Joel M
- Sanbonmatsu, David M
- McDonnell, Amy S
- Publication Date: 2023-9
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; Maps; Photos; References; Tables;
- Pagination: 96p
Subject/Index Terms
- TRT Terms: Automatic data collection systems; Autonomous vehicle handover; Behavior; Drivers; Level 2 driving automation
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01895853
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 11 2023 2:21PM