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Learning Traffic Flow Dynamics using Random Fields
This paper presents a mesoscopic traffic flow model that explicitly describes the spatio-temporal evolution of the probability distributions of vehicle trajectories.
Sparse Travel Time Estimation from Streaming Data
The second shortcoming is the wide-spread use of Gaussian probability densities as mixture components.
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