Automated Vehicles

TARS: Trust-Aware Reward Shaping for Vehicle Lane Change Automation
This study introduces Trust-Aware Reward Shaping (TARS), an interactive reinforcement learning method that uses real-time trust as an …
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Measuring and Predicting Drivers' Takeover Readiness and Supporting Takeover Transitions in Automated Driving
This AAA Foundation report documents two studies that help drivers handle conditionally automated (Level 3) takeovers. Part one mines …
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Toward Trust-calibrated Customized Vehicle Automation
This dissertation develops a framework for vehicle automation that combines individual driving preferences with trust calibration. It …
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