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Driving style evaluation is important for vehicle calibrations and intelligent transportation. In this paper, we propose to quantitatively evaluate driving styles by normalizing driving behavior based on personalized driver modeling. First, a personalized driver model is established for each driver to be evaluated by using the neural network, e.g., the radial basis function, and real-world vehicle...
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