Hitachi, Ltd.

Hitachi Solutions, Ltd.

Naoki Shimode

Akinori Asahara

Masahiro Oba

Takashi Mishima

Nobuo Sato

Yu Kitano

Tomohide Suzuki

A people flow prediction system and method are provided, in which a first conversion model for converting virtual getting in and out data before a certain time point into a number of people who appear after the certain time point and a second conversion model for converting the virtual getting in and out data after a certain time point into the number of people who appear before the certain time point are created based on the number of people who appear and the virtual getting in and out data. A prediction model is learned based on the number of people who appear converted by the second conversion model, and a number of people who appear after a certain time point is predicted from the on-site getting in and out data before the certain time point by using the first conversion model and the prediction model.

People flow prediction method and people flow prediction system

A client device accepts event information for which a people flow prediction is to be performed from a user and the client device inputs the accepted event information to a people flow prediction device. The people flow prediction device outputs a result of people flow prediction responsive to the input event information to the client device and the client device displays the result of people flow prediction to the user. The people flow prediction device performs a people flow prediction by temporally and spatially allocating an event attendance which has been input from the client device to pathways, each connecting a transport facility at which a people flow originates and an event site. Consequently, it is possible to predict a flow of people who attend an event or the like, the people flow differing from that in an ordinary situation, without need to input real-time data.

People flow prediction device

Growing community of inventors

Tokyo, Japan

Naoki Shimode