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Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming.
Franklin Abodo
Andrew Berthaume
Stephen Zitzow-Childs
Leonardo Bobadilla
Published in:
ITSC (2019)
Keyphrases
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probabilistic model
theoretical framework
computational model
formal model
closed form
experimental data
mathematical model
probability distribution
high level
parameter estimation
neural network
input data
statistical model
prior knowledge
camera calibration
similarity measure
uncertain data