Mobility sharing system providing fleet relocation strategy

A mobility sharing system comprising:

• a first vehicle determination unit configured to divide an entire area into a plurality of unit areas, and to determine the number of vehicles to be located in each of the plurality of unit areas;
• a prediction unit configured to, by inputting a prediction data set generated based on the number of vehicles departing from each of stations included in a first unit area of the plurality of unit areas for each of a plurality of unit time intervals and the number of vehicles arriving at each of the stations into a bidirectional recurrent neural network (RNN) model, predict the number of vehicles departing from each of the stations and the number of vehicles arriving at each of the stations during a target time interval after the plurality of unit time intervals;
• a second vehicle determination unit configured to, based on the predicted number of departing vehicles, the predicted number of arriving vehicles, and a set condition, set the number of location vehicles to be located at each of the stations during the target time interval;
• a route setting unit configured to determine a mobility location route to locate the vehicles at each of the stations, by applying a minimum cost maximum flow (MCMF) algorithm to the number of location vehicles to be located at each of the stations;
• a memory configured to store instructions to operate the prediction unit;
• and
• a processor configured to execute the instructions to operate the prediction.