A Study on the Control Authority Transition Characteristics by Driver Information

We observe and analyze the characteristics of control authority transition according to the driver's age and gender in a highly automated vehicle driving environment in this paper. We made control authority transition scenarios and performed experiments using the vehicle simulator. We experimented five tasks such as No NDRT, Conversation, Drink, Texting and Movie. We measured the time it took the driver to take control when the takeover request (TOR) occurred and analyzed the data using an independent sample t-test. According to age and gender, TOR control transition times showed significant differences in some driver's tasks. Therefore, the automated driving system (ADS) should be able to request transition to manual operation considering the driver's age and gender. Drivers must be trained in rules and regulations to prevent accidents, even when driving an automated vehicle. In the future, in order to reduce the response and reaction time, research should continue on methods for pre-cue, methods for providing SA information, and methods for increasing readiness.