Forecasting of the motion parameters of city transport by satellite monitoring data

Problems of analytics of vehicles movements according to satellite monitoring data are considered. The algorithm with the better accuracy and computing efficiency in comparison with known methods is developed. The model of the transport system of the city is created. The architecture of the software realizing the analytics server is developed. The method for arrival time prediction is examined with the data of municipal transport in Samara, Russia.