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• AI-assisted driver drowsiness and distraction monitoring at the wheel→A Transportation Research Board Safety IDEA project developed a non-contact sensor that reads a driver's ECG, breathing, and eye-blink signals through clothing to detect the onset and extent of drowsiness and warn the driver before alertness fails. Note the actual mechanism is physiological sensing, not the camera-based eye-closure vision system described in the candidate rationale.
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  Transportation Research Board (Nation…

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• AI-assisted predictive vehicle maintenance and condition monitoring before departure→University researchers trained machine-learning models on electric-bus sensor data to predict component alarms and failures, giving advance warning of vehicle problems before a trip that a driver would otherwise only catch during a manual pre-departure inspection.
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  TOBB University of Economics and Tech…

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• AI-assisted collision avoidance and automatic emergency braking while driving the bus→The Federal Transit Administration's FY2022 demonstration program funds transit agencies to put market-ready advanced driver assistance systems on buses, explicitly including automatic emergency braking and pedestrian collision avoidance, to assist operators and reduce collisions with vulnerable road users.
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