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Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control
In the online component, driver feedback is used to update the driving gap preference in real time.
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
The proposed system is first evaluated on a human-in-the-loop co-simulation platform, and then in a field implementation with three passenger vehicles connected through the 4G/LTE cellular network.
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