Abstract: A wireless terminal station device, a plurality of wireless base station devices, and a positioning request device are included, the wireless terminal station device makes a positioning request including identification information of its own device to the positioning request device via the wireless base station device to which the wireless terminal station device belongs among the plurality of wireless base station devices, the positioning request device receives the positioning request from the wireless terminal station device, specifies the wireless base station device to which the wireless terminal station device belongs on the basis of the identification information of the wireless terminal station device, transmits a positioning instruction and the identification information of the wireless terminal station device to the specified wireless base station device, and receives a result of positioning of the wireless terminal station device from the wireless base station device, and the wireless base station

Abstract: Provided is a position estimation method in which a measurement signal and a response signal are transmitted and received between multiple n wireless stations respectively provided with known antennas installed at known positions different from each other and a wireless terminal station provided with a terminal antenna, RTT, which is a round-trip delay time of the transmission and reception, and RSSI, which is a strength of received radio waves of the signals, are measured, and a position of the wireless terminal station is estimated. The method includes: obtaining, as the position of the wireless terminal station, a solution of simultaneous equations of an RTT evaluation function fti for evaluating the estimate value of the position of the wireless terminal station that is estimated based on the RTT measured between the wireless terminal station and the known antenna i (i=1, 2, . . .

Abstract: A first learning unit (101) learns a difference model (111) for predicting a difference between current monitoring data that is monitoring data obtained by monitoring a monitoring target at each time point and at each of a plurality of monitoring points and is monitoring data at a current time point, and past monitoring data that is monitoring data at each of a plurality of past time points; a second learning unit (102) learns a prediction model (past) (112) for predicting variation of the monitoring target using the past monitoring data; a first generation unit (103) generates corrected past data using the difference model (111), by correcting a difference between the past monitoring data and the current monitoring data; and a third learning unit (104) learns a prediction model (current) (113) for predicting variation of the monitoring target using the current monitoring data, the difference model (111), the prediction model (past) (112), and the corrected past data, whereby variation of the monitoring targe

Abstract: It is possible to perform an analysis useful for setting points to be careful in the execution of simulation and understanding movement of people and local situations. A measurement point-to-point information generation unit (130) generates, based on setting data for performing a simulation for a plurality of received measurement points, measurement point-to-point information that is information about between measurement points. A time-series data estimation unit (140) obtains, for each of the plurality of measurement points, based on the measurement point-to-point information and time-series data that is measurement data at the received measurement point in time series, measurement data at the measurement point in time series. A difference analysis unit (150) analyzes information about a difference between the estimated measurement data and the time-series data.

Abstract: A people count estimation apparatus includes an information management unit configured to at least manage road network data which is spatial information data regarding a road network formed to include a plurality of observation points and a road connecting the observation points, an observation point list which is a list of the observation points, and the numbers of people passing per unit time at the observation points in each direction of the road, a coefficient calculation unit configured to identify, from the observation point list, a first observation point where the number of people passing in each direction is not measured among the plurality of observation points, identify a second observation point where the number of people passing in each direction is measurable and which is connected to the first observation point by the road among the plurality of observation points, and calculate a weight that an observation value per time period at the second observation point contributes to the number of peopl

Abstract: The present invention can perform a human flow simulation in real time. An input unit (102) receives an input of passage information indicating passage through a point, a measurement unit (103) measures the number of passing people through the point by adding the received passage information, and a transmission unit (104) transmits the number of passing people measured by the measurement unit (103) at a predetermined time interval to a server that generates a parameter of a human flow simulation.

Abstract: An information provision device includes: a simulation execution unit that executes a simulation of a movement of moving bodies on multiple routes from a point of departure to a destination on a basis of setting data that accounts for different means of transportation; a simulation result analysis unit that obtains, as a simulation result, information related to a number and a density of the moving bodies on each of the routes from the point of departure to the destination on a basis of a result of the simulation execution unit executing the simulation; and an information provision unit that provides information based on the simulation result obtained by the simulation result analysis unit.

Abstract: A vector field setting unit (102) sets a vector field for providing virtual force for reproducing, in a region in which a moving body moves, movement of the moving body in a certain direction, and a simulation unit (104) simulates the movement of the moving body in the region, based on a movement model to which a parameter for simulating the movement of the moving body is set and the vector field set by the vector field setting unit, whereby the movement of the moving body is appropriately simulated even when the movement of the moving body is unusual.

Abstract: A path specific traffic volume estimation unit (130) estimates a path specific traffic volume corresponding to a traffic volume of observation objects at each time point at each of path candidates on the basis of observation value data that represents the number of the observation objects at each time point at each of a plurality of observation spots, observation spot specific reliability data that represents a reliability of the observation value data at each time point at each of the plurality of observation spots, and a path candidate list that represents a set of the path candidates through which the observation objects move.

Abstract: An interaction based on a difference in a travelling direction is simulated, and a simulation of movement can be accurately performed. A head count ratio between a head count of the moving agents travelling in one direction and a head count of the moving agents travelling in another direction for each direction at a selected edge is obtained, a width size relative to a proceeding direction of the moving agent is calculated from the head count ratio relative to a width of the edge, and a population density is calculated with respect to each of the moving agents based on an area of a section which is obtained from a forward area length from a location of the moving agent and the width size calculated for the proceeding direction of the moving agent and the moving agents existing in the section for each direction.

Abstract: An information presentation device includes: a communication unit that receives the degree of congestion at each position on each of a plurality of routes from each of human flow sensors installed at predetermined intervals on each of the plurality of routes to a specific point; a calculation unit that calculates the required time for each time series of the route on the basis of the degree of congestion at each position in each of the routes; a prediction unit that inputs the time-series required time calculated for each of the routes to a predetermined device for predicting The required time of each of the routes learned in advance, and predicts the timing when the required time approaches the threshold for each of the routes as an output of the predetermined device; and an information management unit that identifies a route that requires inducement from the timing predicted for each of the routes, selects an incentive for prompting a change in the identified route and an inducement time for the incentive,

Abstract: A wireless terminal station device, a plurality of wireless base station devices, and a positioning request device are included, the wireless terminal station device makes a positioning request including identification information of its own device to the positioning request device via the wireless base station device to which the wireless terminal station device belongs among the plurality of wireless base station devices, the positioning request device receives the positioning request from the wireless terminal station device, specifies the wireless base station device to which the wireless terminal station device belongs on the basis of the identification information of the wireless terminal station device, transmits a positioning instruction and the identification information of the wireless terminal station device to the specified wireless base station device, and receives a result of positioning of the wireless terminal station device from the wireless base station device, and the wireless base station

Abstract: The movement of an agent can be simulated with high accuracy using the attributes of the agent. A population density for each of mobile agents is calculated based on an area of a section from its position to a set front length and a size magnification of the other agent existing in the section. A moving speed of the mobile agent for each of the mobile agents is calculated based on a free walking speed of agent information, a calculated population density, and a predetermined parameter.

Abstract: An estimation device (10) includes an input unit (30) and an estimation unit (32). A first observation value (40) for each of a plurality of observation areas (50), the first observation value being the number of presences (S) of persons who are observation targets at each of a plurality of observation times, and a second observation value (42) for each of a plurality of observation points (52) included in any one of the plurality of observation areas (50), the second observation value being the number of passages (C) of the persons at each of the plurality of observation times, are input to the input unit (30).

Abstract: It is possible to make a prediction with high accuracy even for a rapid change in the measurement data. A measurement point-to-point information generation unit (130) generates, based on setting data for making a prediction for a plurality of received measurement points, measurement point-to-point information which is information about between the measurement points. A change data generation unit (140) generates change data indicative of a change in the measurement data based on the received measurement data up to the current time. A prediction unit (150) predicts, for each of the plurality of measurement points, based on the measurement point-to-point information, the measurement data, and the change data, measurement data at the measurement point at a time after the current time.

Abstract: An estimation device (10) includes an input unit (30) and an estimation unit (32). A first observation value (40) for each of a plurality of observation areas (50), the first observation value being the number of presences (S) of persons who are observation targets at each of a plurality of observation times, and a second observation value (42) for each of a plurality of observation points (52) included in any one of the plurality of observation areas (50), the second observation value being the number of passages (C) of the persons at each of the plurality of observation times, are input to the input unit (30). The estimation unit (32) optimizes an objective function based on the objective function in a simulation Sim, a constraint condition (G) satisfied between the first observation value (40) and the second observation value (42), the first observation value (40), and the second observation value (42) to estimate a parameter (Param_sim).

Abstract: Provided is a position estimation method in which a measurement signal and a response signal are transmitted and received between multiple n wireless stations respectively provided with known antennas installed at known positions different from each other and a wireless terminal station provided with a terminal antenna, RTT, which is a round-trip delay time of the transmission and reception, and RSSI, which is a strength of received radio waves of the signals, are measured, and a position of the wireless terminal station is estimated. The method includes: obtaining, as the position of the wireless terminal station, a solution of simultaneous equations of an RTT evaluation function fti for evaluating the estimate value of the position of the wireless terminal station that is estimated based on the RTT measured between the wireless terminal station and the known antenna i (i=1, 2, . . .

Abstract: An object is to enable high-accuracy position estimation of a wireless terminal station by efficiently performing connection between a wireless base station and the wireless terminal station using multiple distributed antennas.

Abstract: An object is to enable high-accuracy position estimation of a wireless terminal station by efficiently performing connection between a wireless base station and the wireless terminal station using multiple distributed antennas.

Abstract: An information processing system includes a recording apparatus and a portable device, wherein the recording apparatus includes a recording control section, a selection section, a creation section, a digest information transfer control section, an operation information reception control section, and an operation information reflection section, and wherein the portable device includes a digest information reception control section, and an operation information transfer control section.