The effective management of passenger traffic in the city is becoming a frequent subject of discussion for theoreticians and practitioners dealing with urban logistics. At the work an effectiveness analysis of applying various methods of forecasting described on the example of data concerning collective passenger flows in one of cities of Poland was effected. An attempt to appoint forecasts was also taken extrapolating based on rows with gaps in data, in which the missing information was supplemented using the method Lagrange method, Chebyshev polynomials, Brown and Holt models and trigonometric polynomial model.
The following study presents the empirical analysis of the numeric methods in forecasting in conditions of lack of full information. In forecasting the following methods were used: segment, two variants of curves methods, and four variants of Lagrange methods. In analysis are used the average relative forecast errors in six variants of blanks. This study is an attempt to answer a question, whether the amount and distribution of blanks affect the quality of forecasts.