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Vehicle speed prediction can benefit a wide range of vehicle control designs, especially for fuel economy applications. This paper shows a computationally light vehicle short term speed predictor designed for on-board implementation, using minimal information of speed measurement only. The predictor generalizes historical speed data's underlying pattern and predicts from probability aspect. One novelty...
This paper considers modeling of vehicle driving conditions using transition probability models (TPMs) for applications of dynamic optimization. The properties of transition probabilities for vehicle speed, vehicle acceleration, and road grade are discussed based on the analysis and experimental vehicle data. The KL-divergence is shown to provide an effective metric that can differentiate similar...
Advanced vehicle cabin technologies provide drivers infotainment, navigation, and enhanced convenient driving experiences. As interaction between the driver and in cabin technologies increases it is beneficial to provide tailored driver communication for an improved cabin experience. Assessment of the driving demand is of particular value to assist in modulating communication and vehicle system interactions...
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