The present invention relates to a mobility sharing system that operates a mobility location strategy using a deep learning algorithm. A first vehicle determination unit divides an entire area into a plurality of unit areas and determines the number of vehicles to be located in each of the plurality of unit areas. A prediction unit, by inputting a prediction data set generated based on the number of vehicles departing from each of stations and the number of vehicles arriving at each of the stations into a bidirectional recurrent neural network (RNN) model, predicts 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. A second vehicle determination unit sets the number of location vehicles to be located at each of the stations in the target time interval. A route setting unit applies an MCMF algorithm to the number of location vehicles to be located at each of the stations to determine a mobility location route for placing vehicles at each of the stations.
MOBILITY SHARING SYSTEM PROVIDING FLEET RELOCATION STRATEGY
2025-05-08
Patent
Electronic Resource
English
Taylor & Francis Verlag | 2021
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