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Studies have documented gaps in drivers’ understanding of advanced driver assistance systems (ADAS); however, there have been few attempts to map knowledge of vehicle technology across different driver characteristics, experiences, and perceptions. Other studies have identified groups of drivers who differ in their knowledge of technology as well as their confidence in their knowledge, including drivers who were lacking in knowledge, but also highly confident. The aims of the current study are as follows:(1) Explore the impact of technology proficiency, confidence, ADAS ownership, personal characteristics and demographics, on drivers’ mental models of adaptive cruise control (ACC) and lane keeping assist (LKA).(2) Identify and characterize clusters of drivers based on results from the quality of their mental model of ADAS and their confidence in said knowledge. The current study employed a national online survey that examined experiences with ADAS, learning preferences, and driving habits from 2,528 participants based on age, race, and gender. Road users’ understanding of ACC and LKA were evaluated using mental model assessments. Four distinct clusters (Weak Confident, Strong Confident, Weak Unconfident, Strong Unconfident) of road users emerged, based on road users’ mental models as well as confidence in their mental models revealing some important patterns pertaining to their consumer education preferences, use of ACC and LKA, and driving self-efficacy. Findings suggest that road users with a strong understanding of ADAS are younger and preferred relying on videos and the internet to find educational material …