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The text considers using of statistical models for taxi service data analysis and forecasting. Special attention is paid to the model parameters identification and short-term forecasting. We suggest to use the mathematical models of images to account the alternating character, associated with the dependence of the taxi orders number on various parameters. In addition the possibility of improving the efffectiveness of evaluation by use of mixed random fields models is shown.

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