Abstract: Provided is a moving body queue management system that can plan an estimated queue line of moving bodies in consideration of a main trajectory. Provided is the moving body queue management system that manages a queue of the moving bodies, the moving body queue management system including: an information management unit configured to manage moving information regarding movement of a moving body; and an estimated queue line planning unit configured to plan an estimated queue line for guiding the moving body to the queue based on the moving information such that at least a part of the queue of the moving bodies crosses a main trajectory.

Abstract: A movement route of a moving body within a predetermined area is simulated. A movement route prediction system 10 includes a flow line prediction model learning unit 105 that performs machine learning on a flow line prediction model which calculates a first objective variable from a first feature amount, and a movement route prediction unit 106 that simulates a route of a moving body based on the flow line prediction model. The flow line prediction model learning unit includes a flow line data division unit 1051 that divides information on a movement route into a plurality of divisions, and a machine learning unit 1053 that performs machine learning on the flow line prediction model for each piece of the divided information on the movement route of the moving body.

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: This data conversion system is characterized by including: a storage unit that stores a column including a plurality of data elements; a range specification module that specifies the range of each of the data elements of the column; an information amount evaluation module that calculates the information amount of the data element within the specified range of the column; and a change point detection module that detects a point at which a change in the information amount according to a change in the specified range satisfies a predetermined condition.

Abstract: This data conversion system is characterized by including: a storage unit that stores a column including a plurality of data elements; a range specification module that specifies the range of each of the data elements of the column; an information amount evaluation module that calculates the information amount of the data element within the specified range of the column; and a change point detection module that detects a point at which a change in the information amount according to a change in the specified range satisfies a predetermined condition.