Passenger stream prediction based on statistical data

Investigated relation between value of passenger stream and date, time and route. Investigated mathematical model of passenger stream. Made a prediction of expected value of passenger stream at specified time period relying on statistics and fluctuation property of passenger stream, which has almost same values in period. As a result of research gained graphical view of expected passenger stream at specified time period. Calculated data can be used for optimization and improving efficiency of enterprises, which are working in passenger transport sphere.