RIDESHARE VEHICLE DEMAND FORECASTING DEVICE, METHOD FOR FORECASTING RIDESHARE VEHICLE DEMAND, AND STORAGE MEDIUM

RIDESHARE VEHICLE DEMAND FORECASTING DEVICE, METHOD FOR FORECASTING RIDESHARE VEHICLE DEMAND, AND STORAGE MEDIUM

A rideshare vehicle demand forecasting device of an embodiment includes a processor. The processor acquires a reservation forecast number, which corresponds to a number of reservations each of which is capable of being established in future as a reservation for boarding/exiting a rideshare vehicle w...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ITAKURA, Hiroyuki, UEDA, Hiroki, ITOU, Hidemasa, IRIMOTO, Yuuji, KASHIMOTO, Shinichi
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A rideshare vehicle demand forecasting device of an embodiment includes a processor. The processor acquires a reservation forecast number, which corresponds to a number of reservations each of which is capable of being established in future as a reservation for boarding/exiting a rideshare vehicle within a plurality of predetermined areas, at predetermined intervals by using a model including a neural network that is caused to perform machine learning by using, as input data, reservation data indicating a reservation situation at a time of establishment of the reservation for the rideshare vehicle, movement data indicating an area where an end user actually boards/exits the rideshare vehicle on an operation day of the rideshare vehicle, and boarding/exiting factor data containing data that are capable of becoming a factor for an occurrence of boarding/exiting of the end user on the operation day of the rideshare vehicle.