Abstract: Provided herein is a moving object simulation method including: a simulation preprocessing step in which a first server generates environment information for the simulation target, including at least one of road data, nearby vehicle data, nearby pedestrian data, nearby obstacle data, nearby traffic light data, nearby sign data, and event data, for a predetermined period of time; and a simulation step in which a second server calculates sensor unit output data of a simulation target vehicle according to movement of the simulation target vehicle for the predetermined period of time using the environment information, preventing computational overload due to limitations of server resources and promoting quality improvement for algorithm verification.

Abstract: A method of creating ranking, especially a ranking of players or teams in esport gameplay, on the basis of historical data, with the use of neural networks, including: neural network learning on the basis of historical data, and particularly data on the parameters of esport gameplays and the results of these gameplays; creating ranking of players or teams through a neural network on the basis of current data, and particularly data on the parameters of esport gameplays and the results of these gameplays; and possible forecasting by a neural network the result of the future game between given players or teams. The embodiments also include the system for implementation of this method and a ranking created by the use of this method.