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.


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    Title :

    MOBILITY SHARING SYSTEM PROVIDING FLEET RELOCATION STRATEGY


    Contributors:
    CHO MISUNG (author) / JUNG BYUNGKWAN (author) / JIN SUNWOO (author) / HAN YOUNGJIN (author) / SHIN AHYOUNG (author)

    Publication date :

    2025-05-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen





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