01764212

Component

https://doi.org/10.1177/03611981211068362

Disengagement of advanced driver-assist systems (ADAS) has significant safety implications in partially automated vehicles where drivers may not be paying attention; this requires rigorous testing to ensure vehicles can safely transfer control to drivers. Existing testing and regulation on this topic are minimal, and do not address the role of difficult-to-measure but potentially important variables relating to individual vehicle differences or variations in environmental conditions. This study assessed variability in takeover alerting performance in three Model 3 Tesla vehicles in a demanding driving setting on a closed track. Results revealed that once an alerting sequence had begun, the ADAS systems performed as designed, but the vehicles were highly variable in the timing of alert initiation following the loss of lane marking tracking. In addition, luminosity and sun angle were found to potentially have a role in alert initiation, but dashboard-mounted cameras may be insufficient for measuring variations in atmospheric brightness. We recommend that future work studies brightness, as well as more comprehensive sampling guidelines for vehicle test protocols to ensure differences are adequately considered.

Benjamin Bauchwitz https://orcid.org/0000-0003-4672-0233 © National Academy of Sciences: Transportation Research Board 2022.

TRBAM-21-03139

English

0000-0003-4672-0233

0000-0003-2557-6930

pp 489-499

2022-5

Transportation Research Record: Journal of the Transportation Research Board

Web

Figures; References (38) ; Tables

Autonomous vehicle handover; Autonomous vehicles; Behavior; Driver support systems; Drivers

Tesla automobile

Highways; Safety and Human Factors; Vehicles and Equipment

TRIS, TRB, ATRI

Dec 23 2020 11:22AM