Abstract: A coordinating apparatus selects discrete systems that simulate behavior of an actual environment and outputs an indicator value related to the actual environment, shares internal states related to the actual environments obtained on a basis of the behavior simulated by the discrete systems selected in the selection process, generates a shared internal state, decides such an action that a post-coordination integrated indicator value obtained by integrating a post-coordination indicator value from the discrete systems when the discrete systems are coordinated is optimized, the action being should be taken and being able to be taken by the discrete systems on a basis of the shared internal state in a case where the discrete systems are coordinated, determines whether or not the discrete systems should be coordinated on a basis of the post-coordination indicator values, and the indicator value from each of the discrete systems, and outputs a determination result.

Abstract: An arrangement planning apparatus includes a demand prediction unit which sequentially predicts an occurrence time point and an occurrence spot of demand for a moving resource along a time course, a first data conversion unit which analyzes each prediction result by the demand prediction unit based on a spatiotemporal division system, in which a size of an area where the moving resource is movable and a length of a time range in which the moving resource moves are defined, and converts each prediction result by the demand prediction unit into plural groups of first moving resource management data including the areas and the time ranges, a spatiotemporal division unit which extracts a specific group among combinations of the areas and the time ranges in the plural groups of first moving resource management data, changes the area and the time range which belong to the extracted specific group, and updates the spatiotemporal division system with this change, and a second data conversion unit which applies the sp

Abstract: On-site getting in and out data including the number of people who got in the elevator in the past is created, virtual getting in and out data including the number of people who get in the elevator is created by making people who arrive at a landing of the elevator virtually appear and simulating operation of the elevator on the basis of the number of people who appear, a first conversion model for converting the virtual getting in and out data before a certain time point into the 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 on the basis of the number of people who appear and the virtual getting in and out data, a prediction model for predicting the number of people who appear after a certain time point from the number of people who appear before the certain time point is learned on the basis of the number of peop

Abstract: 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.