170925 - Driver Modeling Flashcards
Driver models are descriptions or representations of driver behavior in specific driving situations.
True
Driver models cannot be built based on data collected during real driving (e.g. Naturalistic Driving Data).
False
Driver models can be used for the evaluation of the safety benefits of active safety systems.
True
The statistical description of reaction times during rear-end critical scenario is an example of driver model.
True
In control models, the driver applies inputs to the vehicle based on some information acquired from the external environment.
True
In compensatory control, driver applies inputs to the vehicle in order to minimize the error between desired and actual value of a specific variable.
True
The Equivalent Perceptor Processor has the objective to reconstruct a best estimate of the system states.
False
Control models take into account drivers motivation and goals and their effect on the driving task.
False
In the Hierarchical Control Model, the strategic level is responsible for controlling the braking and acceleration during normal driving.
False
A navigation system would support the performance at knowledge-based level, in the Rasmussen model.
True
Auto Emergency Braking (AEB) would support the driving task at strategic level in Hierarchical Control Model.
False
Hierarchical models provide more quantitative results compared to control models.
False
Based on the zero-risk theory, motivation drives the expectancy of how a driving situation will evolve.
True
According to the zero-risk theory, drivers avoid behavior that elicits fear.
True
Motivational model do not take into account risk to describe drivers behavior.
False