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In this paper, we explore the use of machine learning and data mining to improve the prediction of travel times in an automobile. We consider two formulations of this problem, one that involves predicting speeds at diierent stages along the route and another that relies on direct prediction of transit time. We focus on the second formulation, which we apply(More)
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