Individual Driving Styles: Learning, Modeling, and Improving Driver Safety
We propose to: (a) develop a model of individuals’ driving styles and road awareness, and (b) on-road test alternate interaction modalities (haptic, audio, visual) for vehicles to intervene based on that model.
The project addresses a central goal of Guardian system. Awareness of the driver’s engagement will allow vehicles to intervene earlier, in the most effective ways, with safer outcomes.
- Verify our existing on-road data corpus, and apply it to characterize driving style, creating a driving fingerprint.
- Apply the individual’s fingerprint to determine when is best to intervene.
- Prototype and test a combination of modalities (visual, audial, haptic) to determine how is best to intervene.
- Raise the awareness of less-experienced drivers to potential hazards, learned from patterns used by more- experienced drivers.