In the present work it is suggested to use statistical models for taxi service data analysis and forecasting. Special attention is paid to the application of methods of model parameters identification and short-term forecasts making. We suggest to use the mathematical models of images to account the alternating character, associated with the dependence of the number of taxi orders from various parameters. In addition the possibility of improving the effectiveness of evaluation through the use of mixed models of random fields is shown.This work was supported by the OOO "EIS-PFO" (Ulyanosk, Russia). We express our special gratitude for provided information used in the research
