Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning

AbstractThis paper proposes a probabilistic machine learning methodology to predict travel time and its variability for trips between locations in New York City. First, a hierarchical Bayesian generalized linear regression model was trained to estimate predictive distribution of the trip’s unit-dist...

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