Mathematical modelling of dynamic systems with continuous, discrete and mixed variables, based on Bayesian probabilistic approach. Structure and parameter estimation of these models and their application for prediction. Estimation of unknown variable described by a state-space model. Optimal control of dynamic systems on a finite horizon with continuous and discrete models. Illustration of the results in tasks from transportation practice.