| Title | Naturalistic Study of Level 2 Driving Automation Functions |
|---|---|
| Record ID | 67418 |
| Personal Name Creator |
Russell, Sheldon M.; Blanco, Myra; Atwood, Jon; Schaudt, William A.; Fitchett, Vikki; Tidwell, Scott |
| Corporate Creator | Virginia Tech Transportation Institute. Center for Automated Vehicle Systems; Virginia Tech Transportation Institute. Center for Public Policy, Partnerships, and Outreach |
| Corporate Contributor |
United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publisher | United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publication Date | 20181100 |
| Language | English |
| Abstract | This document presents methods and results for the Naturalistic Study of Level 2 Driving Automation Functions (L2 NDS). The objective of the L2 NDS project was to investigate, through a naturalistic driving study (NDS), real-world driver interaction with commercially available driving automation systems. Ten vehicles equipped with both lateral and longitudinal automated features were instrumented and loaned to participants for a 4-week period. A total of 120 drivers were recruited over a 14-month data collection period. Participants drove 216,585 miles, with 70,384 miles driven with both lateral and longitudinal control features active. Drivers were observed engaging in non-driving tasks, but these were not related to feature use. Driver behavior was consistent with active driving/supervision of the automated features; drivers were receptive to Request to Intervene (RTI) alerts. No RTIs were associated with any Safety-Critical Events (SCEs; Crashes and Near-Crashes). In total, 5 minor crashes (no injury or visible damage) and 66 near-crashes were observed across the entire data set. No statistical relationship was observed between SCE rates and feature activation level. A sub-study specifically focused on longer drives was also conducted. Results observed in the sub-study were similar to those observed in the broader NDS. Implications per the study research questions are presented herein. Comparisons to related research studies and limitations of the current research effort are also discussed. |
| Public Note | Russell, S. M., Blanco, M., Atwood, J., Schaudt, W., A., Fitchett, V. L., & Tidwell, S. (2018, November). Naturalistic study of Level 2 driving automation functions (Report No. DOT HS 812 642). Washington, DC: National Highway Traffic Safety Administration. |
| Rosap ID | dot:41939 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/41939 |
| TRT Terms | Level 2 driving automation; Driving automation levels; Human machine systems; Automatic data collection systems; Human factors engineering |
| General Subjects | driving automation; human-machine interface; naturalistic driving |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1715392 |
| Contract Number | DTNH2214D00328L; Task Order #1 |
| Report Number | DOT HS 812 642 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/67000/67400/67418/DOT-HS-812-642_20190806v2.pdf |
| Format | |
| Database | NTL Digital Repository |