1. AUTOMATED-MANUAL TRANSITIONS: HUMAN CAPABILITIES AND ADAPTIVE CRUISE CONTROL 

Task Order 4221

Theodore Cohn, University of California, Berkeley
tecohn@mindseye.berkeley.edu,

This project deals with automated-to-manual transition (A-MT) of an adaptive cruise control (ACC) vehicle when the vehicle in front suddenly applies maximum braking. It develops experiments, using a driving simulator, to investigate the ability of a human operator (HO) to detect the closing intervehicle spacing, the time to collision, and the conditions required for a safe and smooth A-MT in this scenario. The study focuses on those visual capabilities required by the HO to determine the need to assume manual control, and those features of an in-vehicle warning signal (initiated by either vehicle) that could reliably prompt appropriate HO action. The research will supply a model for how to study A-MT in other settings, for example, longitudinal control of a platoon of vehicles.

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