Provided is a running model generation system which prevents a reduction in accuracy of learning by appropriately processing data having a feature significantly different from a feature of learning data. Running data from a vehicle is acquired, and filtering is performed to remove, from the running data, running data which is not to be learned. The learning data obtained by removing the running data which is not to be learned is learned, and a running model of the vehicle is generated on the basis of the result of the learning. The running data which is not to be learned is processed in accordance with a condition associated with the running data.
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