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Modeling of Nonstationary Stochastic Process for Load Traffic Estimation

We provide a dynamic Bayesian network (DBN) model of a generalized class of nonstationary birth-death processes. The model includes birth and death rate parameters that are randomly selected from a known discrete set of values. We present an online algorithm to obtain optimal estimates of the parameters. We provide a simulation of real-time characterization of road traffic estimation using our DBN approach