JP2019079108A - Home rate estimation device - Google Patents

Abstract

To accurately estimate a home rate of a resident.SOLUTION: A home rate estimation device 10 for estimating a home rate of a resident for each geographical area comprises: a position information acquisition unit 11 which acquires position information indicating a position of the resident in an area as an object of estimation; a supplementary information acquisition unit 12 which acquires supplementary information including at least any one of information related to the resident of another area having a specific physical relationship with the area as the object of estimation, and the information about facilities which exist in the area as the object of estimation; an estimation unit 13 which estimates the home rate based on the acquired position information and supplementary information; and an output unit 14 which outputs the information indicating the estimated home rate.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an at-home rate estimation device that estimates the at-home rate of a resident for each geographical area.

  Conventionally, techniques have been proposed for calculating the probability of whether a resident is at home in a home. For example, Patent Document 1 discloses that the at-home probability according to time is calculated based on the operation time of the device installed in the house.

JP, 2015-122055, A

  Information on presence / absence is valuable as marketing data relating to, for example, business efficiency improvement in mail / delivery business or activity at home such as television viewing. This information does not necessarily have to be out-of-office information in individual homes, and is useful even in statistical information. For example, information such as the at-home rate (presence of being at home) of a resident in a certain area may be used.

  Although it is necessary to acquire the operation time of the apparatus installed in the house by the method shown by patent document 1, it is not easy to acquire this information about many houses. Therefore, the method disclosed in Patent Document 1 is not necessarily appropriate for generating the above-mentioned statistical information.

  Then, it is possible to generate the above-mentioned statistical information using the information on the position registration area of the mobile phone carried by many users or the mobile phone base station with which the mobile phone is performing wireless communication. For example, the home area where the user's home is located is estimated based on the above information at night, presence / absence is determined based on whether the mobile phone is located in the home area, and statistical information is generated through tabulation processing and the like. I can think of a method.

  The location registration area of the mobile phone usually spans a wide range. Although the area in which wireless communication with the mobile phone base station can be performed is narrower than the location registration area, the mobile phone base station generally exists only every several hundred meters, even in a dense place. Therefore, even if the mobile phone is present in the home area, the user may not necessarily be at home but may be visiting another nearby place (for example, a supermarket or a school). Therefore, it is difficult to generate accurate statistical information from the above information.

  This invention is made in view of the above, and an object of this invention is to provide the at-home rate estimation apparatus which can estimate an at-home rate of a resident accurately.

  In order to achieve the above object, the at-home rate estimation apparatus according to the present invention is an at-home rate estimation apparatus for estimating the at-home rate of a resident for each geographical area, and the position of the resident of the area to be estimated. And at least one of information on a resident of another area having a specific positional relationship with the area to be estimated, and information on facilities existing in the area to be estimated. The at-home rate of the resident of the area to be estimated is based on the auxiliary information acquisition unit that acquires the auxiliary information including the position information, the position information acquired by the position information acquisition unit, and the auxiliary information acquired by the auxiliary information acquisition unit The estimation unit includes: an estimation unit that estimates; and an output unit that outputs information indicating an at-home rate of a resident of the area to be estimated estimated by the estimation unit.

  In the at-home rate estimation apparatus according to the present invention, the at-home rate is estimated based on the auxiliary information as well as the position information of the resident of the area to be estimated. Therefore, according to the at-home rate estimation apparatus according to the present invention, the at-home rate can be accurately estimated even if the at-home rate can not be accurately estimated from only the position information.

  According to the present invention, since the at-home rate is estimated based on the auxiliary information as well as the position information of the resident in the area to be estimated, the at-home rate can not be accurately estimated from only the position information. The rate can be estimated accurately.

It is a figure which shows the structure of the at-home rate estimation apparatus based on embodiment of this invention. It is a figure which shows the mesh used as the estimation object of a rate of at-home, and another area which has a specific positional relationship with the said mesh. It is a table which shows the information used for calculation of the inflow rate of a mesh. It is a flowchart which shows the process performed with the at-home rate estimation apparatus which concerns on embodiment of this invention. It is a figure which shows the hardware constitutions of the at-home rate estimation apparatus based on embodiment of this invention.

  Hereinafter, an embodiment of the at-home rate estimation apparatus according to the present invention will be described in detail with reference to the drawings. In the description of the drawings, the same elements will be denoted by the same reference symbols, without redundant description.

  The at-home rate estimation apparatus 10 which concerns on FIG. 1 at this embodiment is shown. The at-home rate estimation device 10 is a device that estimates the at-home rate of the resident for each geographical area. The geographical area to be estimated is preset. For example, as shown in FIG. 2, each of the meshes obtained by dividing the area to be estimated into rectangles each having a side length of several hundreds of meters is the area to be estimated. The at-home rate indicates the ratio of the resident at home to the resident of the mesh (the person whose home is in the mesh). Alternatively, the at-home rate may be regarded as the possibility that one resident is at home (at-home possibility). The estimated at-home rate is in mesh units, not individual resident units. That is, the at-home rate is not a value for each resident but statistical information that is a value for each mesh. Also, the at-home rate may be estimated for each time (timing).

  The estimated at-home rate is used, for example, to determine the time of delivery to the mesh. Alternatively, the at-home rate is used as marketing data related to at-home activities such as television viewing. However, the at-home rate may be used for things other than the above.

  Subsequently, the function of the at-home rate estimation device 10 according to the present embodiment will be described. As shown in FIG. 1, the at-home rate estimation device 10 is configured to include a position information acquisition unit 11, an auxiliary information acquisition unit 12, an estimation unit 13, and an output unit 14.

  The position information acquisition unit 11 is a functional unit that acquires position information indicating the position of the resident of the mesh to be estimated. The position information to be acquired may be any information that can specify the mesh in which the resident is located. For example, as the position information, information indicating a mobile phone base station (used for mobile communication) with which a mobile phone (mobile communication terminal) carried by a resident user is performing wireless communication is used. . The mobile phone base station is usually fixedly provided at a position set for each mobile phone base station. Thus, the mobile phone base station with which the mobile phone is communicating wirelessly indicates the position of the mobile phone, ie, the user. The accuracy of the position of the user is the accuracy of the range in which wireless communication with the mobile phone base station is possible. In this case, the mobile phone base station and the mesh are associated in advance, and the association is stored in the at-home rate estimation apparatus 10. The area indicated by the mobile phone base station and the mesh to be estimated may be the same. Alternatively, the position information may be information indicating a position registration area of the mobile phone.

  The position information is information relating to the position of the user at the time (timing) to be estimated for the at-home rate. Further, the mesh to be estimated and the time are set by the administrator or the like of the at-home rate estimation device 10 at the time of estimation of the at-home rate, and are stored in the at-home rate estimation device 10.

  The position information acquisition unit 11 acquires position information of a plurality of users. As the number of users related to the position information that can be acquired is larger, it is possible to estimate an appropriate at-home rate. The position information acquisition unit 11 acquires position information, for example, as follows. The at-home rate estimation apparatus 10 and the mobile phone of the user can transmit and receive information via the mobile communication network, and the position information acquisition unit 11 receives the position information transmitted from the mobile phone of the user To get. Alternatively, the position information acquisition unit 11 may collectively acquire position information relating to a plurality of users from devices of a mobile telephone network (mobile communication network).

  In the at-home rate estimation apparatus 10, it is possible to recognize which position information is related to which user, such as an id specifying a user related to the position information is added to the position information.

  Moreover, in the at-home rate estimation apparatus 10, the mesh in which the user's home is located is stored in advance for each user. Therefore, in the at-home rate estimation apparatus 10, it is possible to recognize which position information relates to the resident of the mesh to be estimated. Information on the mesh on which the user's home is located may be input in advance to the at-home rate estimation device 10 by the administrator of the at-home rate estimation device 10 or the like. Alternatively, the mesh on which the user's home is located may be determined from position information for each user acquired in advance. For example, the mesh in which the user is located most often in a preset time zone (for example, at night) may be determined as the mesh in which the user's home is located. The position information acquisition unit 11 outputs the acquired position information to the estimation unit 13.

  In the at-home rate estimation by the at-home rate estimation device 10, the at-home rate before correction is calculated based on the position information acquired by the position information acquisition unit 11, the at-home rate before correction is corrected, and the at-home rate is estimated Be done. The auxiliary information acquisition unit 12 is a functional unit that acquires auxiliary information used for the correction. The estimation unit 13 is a functional unit that estimates the at-home rate of the resident of the mesh to be estimated based on the position information acquired by the position information acquisition unit 11 and the auxiliary information acquired by the auxiliary information acquisition unit 12 . The estimation unit 13 calculates the at-home rate before correction based on the position information acquired by the position information acquisition unit 11, corrects the at-home rate before correction based on the auxiliary information, and calculates the resident of the mesh to be estimated. Estimate the at-home rate. The functions of the auxiliary information acquisition unit 12 and the estimation unit 13 will be described below for each correction method.

  A method 1 of estimating the at-home rate using information related to a resident of a mesh different from the mesh to be estimated will be described. In method 1, the auxiliary information acquisition unit 12 acquires, as auxiliary information, information related to a resident of another mesh having a specific positional relationship with the mesh to be estimated. The auxiliary information acquisition unit 12 acquires, as information related to the resident of another mesh, information indicating the inflow rate of the resident flowing into the mesh to be estimated from the other mesh. Specifically, the auxiliary information acquisition unit 12 acquires information indicating the inflow rate as follows.

  Another mesh is specifically a mesh in the vicinity (neighboring) of the mesh to be estimated. For example, another mesh is eight meshes NM around which the boundary is in contact with the mesh TM to be estimated as shown in FIG. In method 1, the in-home rate of the estimation target mesh TM is calculated with reference to the inflow (going out) of the estimation target of the user U1 who is the resident of the other mesh NM to the estimation target mesh TM. Since another mesh NM is located in the vicinity of the mesh TM to be estimated, the above tendency of inflow is out of the mesh of the user U2 who is a resident of the mesh TM to be estimated (for example, in the mesh) Because it is considered to be a reference for going out to the supermarket.

  On the other hand, the inflow of the user U3 who is a resident of the further outer mesh shown in FIG. 2 is not used. Since the further outer mesh of another mesh NM is not in the vicinity of the mesh TM to be estimated, the inflow tendency of the user U3 who is the resident of that mesh is within the area of the user U2 of the mesh TM to be estimated. It is because it is considered that it is not helpful for going out. Note that if the tendency of the inflow of the resident to the estimation target mesh TM is considered to be a reference for going out in the mesh of the user U2 who is the resident of the estimation target mesh TM, the above other The mesh may be a mesh other than the eight mesh NM described above.

  Further, the other mesh may be variable according to the mesh to be estimated. The similarity in going out tendency between the mesh to be estimated and another mesh is because the density of the mobile phone base station serving as the mesh unit is large. Alternatively, the range of the neighborhood may change due to the difference in lifestyle between the downtown area and the rural area.

  The other mesh having a specific positional relationship with the mesh to be estimated is preset by the administrator or the like of the at-home rate estimation device 10 and stored in the at-home rate estimation device 10. The auxiliary information acquisition unit 12 acquires position information indicating the position of the user who is the resident of the different mesh, as in the method by the position information acquisition unit 11. This position information is also information relating to the position of the user at the time (timing) to be estimated for the at-home rate. Further, the auxiliary information acquisition unit 12 acquires position information of a plurality of the users.

  The auxiliary information acquisition unit 12 specifies one of the positions indicated by the acquired position information that is included in the mesh to be estimated, and counts the number. The auxiliary information acquisition unit 12 divides the counted number by the acquired number of position information (that is, the number of residents of another mesh that can acquire the position information) to calculate the inflow rate. For example, assuming that the number of residents of another mesh is 80, and the number of inflows from the other mesh to the estimation target mesh (the number counted above) is 8, the inflow rate is 8/10. It is calculated that = 0.1 (10%). The auxiliary information acquisition unit 12 outputs information indicating the calculated inflow rate to the estimation unit 13.

  The estimation unit 13 inputs position information of the resident of the mesh to be estimated from the position information acquisition unit 11 and information indicating the inflow rate from the auxiliary information acquisition unit 12, respectively. The estimation unit 13 identifies one of the positions (the resident of the mesh to be estimated) indicated by the position information input from the position information acquisition unit 11 that is included in the mesh to be estimated and counts the number. The auxiliary information acquisition unit 12 divides the counted number by the number of position information input from the position information acquisition unit 11 (that is, the number of residents of the mesh of the estimation target for which the position information has been acquired) and corrects the home before correction. Calculate the rate (at-home rate without correction). For example, assuming that the number of residents of the mesh to be estimated is 20, and the number (the number counted above) of them is 10 in the mesh to be estimated, the at-home rate before correction is 10 / It is calculated that 20 = 50%.

  The above-described position information indicates the mesh in which the user is located, and therefore, it is not possible to determine the resident out of the mesh to be estimated. Therefore, the estimation unit 13 corrects the at-home rate before correction on the assumption that the resident in the mesh to be estimated is also out in the mesh at the inflow rate calculated by the auxiliary information acquisition unit 12. Specifically, the estimation unit 13 corrects the at-home rate after correction according to the formula: at-home rate before correction × (1−inflow rate). For example, in the above example, the at-home rate after correction is calculated as (10/20) × (1-0.1) = 45%. The estimation unit 13 outputs, to the output unit 14, information indicating the at-home rate of the resident of the estimated mesh to be estimated. The above is the estimation of the at-home rate in method 1.

  Subsequently, method 2 will be described. According to method 1 above, it is conceivable that there is a mesh which can not calculate the inflow rate from another mesh to the mesh to be estimated. For example, there is a case where sufficient data can not be secured due to the removal of a small number of data in consideration of privacy. In this case, the auxiliary information acquisition unit 12 may calculate the inflow rate to the mesh to be estimated using information on facilities existing in the mesh to be estimated as auxiliary information. Facilities are those that residents may visit, such as supermarkets and hospitals. The information on the facilities present in the mesh is, for example, information indicating (a category of) facilities present in the mesh, and information indicating the number of the facilities, business hours, and the like.

  The auxiliary information acquisition unit 12 previously stores, for each mesh, categories of facilities existing in the mesh (for example, POI (Point of Interest) category) in the table shown in FIG. Each record in the table of FIG. 3 corresponds to each mesh. The information in the mesh_id column is an id specifying a mesh. The information in the super, hospital and subsequent columns is information indicating whether or not there is a facility of that category in the mesh. The circle marks indicate that facilities of the category exist in the mesh, and the crosses indicate that facilities of the category do not exist in the mesh.

  Further, as shown in the column of the inflow rate of the table in FIG. 3, the auxiliary information acquisition unit 12 stores the inflow rate for the mesh for which the inflow rate can be calculated by the method 1. For example, in the example illustrated in FIG. 3, the inflow rate is calculated for meshes having mesh_id “id1” “id2” “id3”. On the other hand, the inflow rate is not calculated for the mesh whose mesh_id is "idn". Method 2 calculates the inflow rate for the mesh of "idn" in the example shown in FIG.

  The inflow from another mesh in the vicinity of the mesh is considered to be in accordance with the facility present in the inflow mesh. The auxiliary information acquisition unit 12 calculates the inflow rate based on the facilities existing in the mesh for which the inflow rate is to be calculated. That is, the inflow rate is calculated via the category of the facility. For example, the auxiliary information acquisition unit 12 calculates the inflow rate as follows.

  The auxiliary information acquisition unit 12 reads out and acquires information stored in the table shown in FIG. The auxiliary information acquisition unit 12 generates an equation for calculating (estimates) the inflow rate from the presence or absence of the facility for each category of mesh, using the information of the facility for each category of mesh for which the inflow rate is already calculated. . For example, the presence or absence of facilities for each category of mesh is taken as an explanatory variable (for example, a value of 1 if facilities of the category exist, a value of 0 if facilities of the category do not exist), and the inflow rate Generate a regression equation with. Specifically, the regression equation is a linear equation, and the auxiliary information acquisition unit 12 solves the above-described regression equation by solving the conventional regression problem using the information of the facility for each category of mesh for which the inflow rate is already calculated. Generate It is preferable that the calculated inflow rate used here be in accordance with the time (timing) for which the at-home rate is to be estimated. For example, it is preferable to use an inflow rate at the same time (timing) as the day of the week at which the at-home rate is to be estimated, weekdays and holidays, or the same time zone.

  In order to calculate the inflow rate from the presence or absence of the facility for each category of mesh, the formula (rule) does not necessarily have to be generated by regression, and may be generated by other methods (for example, other machine learning methods) Good. In the above example, the category of facilities present in the mesh is used, but other information about the facilities, for example, the number of facilities per category (for example, the number of supermarkets) and the operating hours of facilities are used. The rate may be calculated. Specifically, information on these facilities may be quantified and used as explanatory variables.

  The auxiliary information acquisition unit 12 acquires, as auxiliary information, information on facilities for each category present in the mesh for which the inflow rate is to be calculated (that is, the mesh for which the in-home rate is to be estimated). The auxiliary information acquisition unit 12 inputs the value indicated by the auxiliary information into the above equation to calculate the inflow rate. The auxiliary information acquisition unit 12 outputs information indicating the calculated inflow rate to the estimation unit 13. The estimation unit 13 calculates the at-home rate before correction as in method 1, corrects the at-home rate before correction based on the inflow rate, and estimates the at-home rate of the resident of the mesh to be estimated.

  In addition, a formula (rule) may be prepared to calculate the inflow rate from the presence or absence of the facility for each category of mesh, without using the information on the mesh for which the inflow rate has already been calculated. For example, it may be generated in advance by a manager or the like of the at-home rate estimation apparatus 10 according to a method other than the above. In this case, there is no need to calculate the inflow rate by the method 1, and the at-home rate may be estimated by only the method 2.

  The output unit 14 is a functional unit that outputs information indicating the at-home rate of the resident of the mesh to be estimated estimated by the estimation unit 13. The output unit 14 inputs, from the estimation unit 13, information indicating the at-home rate of the resident of the mesh to be estimated. The output unit 14 displays and outputs the information, for example, on a display device included in the at-home rate estimation device 10. By this, the said information is referred by the management etc. of the at-home rate estimation apparatus 10, and is used for determination of the time of delivery, etc. Alternatively, the output unit 14 may perform output other than display, and may transmit and output to other devices or other modules. The above is the function of the at-home rate estimation apparatus 10 according to the present embodiment.

  Subsequently, processing (an operation method performed by the at-home rate estimation device 10) executed by the at-home rate estimation device 10 according to the present embodiment will be described using the flowchart of FIG. In the present process, first, the positional information acquisition unit 11 acquires positional information of the resident of the mesh to be estimated (S01). Subsequently, the auxiliary information acquisition unit 12 acquires auxiliary information (S02). The auxiliary information is the inflow rate to the mesh to be estimated based on the position of the resident of another mesh having a specific positional relationship with the mesh to be estimated as described above, or each facility existing in the mesh to be estimated is there. Further, the at-home rate before correction is calculated by the estimation unit 13 based on the position information of the resident of the mesh to be estimated (S03). Since S02 and S03 are performed independently of each other, they need not necessarily be performed in the order described above.

  Subsequently, the at-home rate before correction is corrected based on the inflow rate by the estimation unit 13, and the at-home rate of the resident of the area to be estimated is estimated (S04). Subsequently, the output unit 14 outputs information indicating the at-home rate of the resident of the mesh to be estimated (S05). The above is the process performed by the at-home rate estimation apparatus 10 according to the present embodiment.

  As described above, in the present embodiment, the at-home rate is estimated based on the auxiliary information as well as the position information of the resident of the mesh to be estimated. Therefore, according to the present embodiment, the at-home rate can be accurately estimated even if the at-home rate can not be accurately estimated from only the position information, for example, as in the case of using the information of the cellular phone base station as the position information. be able to.

  Specifically, the at-home rate may be accurately estimated by calculating the at-home rate before correction based on the position information of the resident of the mesh to be estimated and correcting the at-home rate also based on the auxiliary information. it can. The auxiliary information includes information on the occupant of another mesh having a specific positional relationship with the mesh to be estimated as in the method 1 described above, and exists in the mesh to be estimated as in the method 2 described above At least one of the information on the facility to be used may be used.

  In the embodiment described above, each area is a rectangular mesh, but each area may have a shape other than a rectangular mesh. Also, the acquired position information is not limited to the above, and any information may be used as long as it indicates the position of the resident.

  Note that the block diagram used in the description of the above embodiment shows blocks in units of functions. These functional blocks (components) are realized by any combination of hardware and / or software. Moreover, the implementation means of each functional block is not particularly limited. That is, each functional block may be realized by one physically and / or logically coupled device, or directly and / or indirectly two or more physically and / or logically separated devices. It may be connected by (for example, wired and / or wireless) and realized by the plurality of devices.

  For example, the at-home rate estimation apparatus 10 according to the embodiment of the present invention may function as a computer that performs the process of the at-home rate estimation apparatus 10 according to the present embodiment. FIG. 5 is a diagram showing an example of a hardware configuration of the at-home rate estimation apparatus 10 according to the present embodiment. The above-described at-home rate estimation device 10 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007 and the like.

  In the following description, the term "device" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the at-home rate estimation device 10 may be configured to include one or more of the devices illustrated in the drawing, or may be configured without some devices.

  Each function in the at-home rate estimation apparatus 10 performs a calculation by causing the processor 1001 to read a predetermined software (program) on hardware such as the processor 1001 and the memory 1002, and performs communication by the communication device 1004. This is realized by controlling reading and / or writing of data in the storage 1003.

  The processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be configured by a central processing unit (CPU: Central Processing Unit) including an interface with a peripheral device, a control device, an arithmetic device, a register, and the like. For example, each function of the at-home rate estimation device 10 may be realized by the processor 1001.

  Also, the processor 1001 reads a program (program code), a software module or data from the storage 1003 and / or the communication device 1004 to the memory 1002, and executes various processing according to these. As a program, a program that causes a computer to execute at least a part of the operations described in the above embodiments is used. For example, each function of the at-home rate estimation apparatus 10 may be realized by a control program stored in the memory 1002 and operated by the processor 1001. The various processes described above have been described to be executed by one processor 1001, but may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The program may be transmitted from the network via a telecommunication line.

  The memory 1002 is a computer readable recording medium, and includes, for example, at least one of a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). It may be done. The memory 1002 may be called a register, a cache, a main memory (main storage device) or the like. The memory 1002 can store a program (program code), a software module, etc. that can be executed to implement the method according to one embodiment of the present invention.

  The storage 1003 is a computer readable recording medium, and for example, an optical disc such as a CD-ROM (Compact Disc ROM), a hard disc drive, a flexible disc, a magneto-optical disc (for example, a compact disc, a digital versatile disc, Blu-ray A (registered trademark) disk, a smart card, a flash memory (for example, a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, and the like may be used. The storage 1003 may be called an auxiliary storage device. The above-mentioned storage medium may be, for example, a database including the memory 1002 and / or the storage 1003, a server or any other suitable medium.

  The communication device 1004 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also called, for example, a network device, a network controller, a network card, a communication module, or the like. For example, each function of the above-described at-home rate estimation device 10 may be realized by the communication device 1004.

  The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, and the like) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. The input device 1005 and the output device 1006 may be integrated (for example, a touch panel).

  In addition, devices such as the processor 1001 and the memory 1002 are connected by a bus 1007 for communicating information. The bus 1007 may be configured by a single bus or may be configured by different buses among the devices.

  Further, the at-home rate estimation device 10 includes hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), and a field programmable gate array (FPGA). It may be configured to include, and part or all of each functional block may be realized by the hardware. For example, processor 1001 may be implemented in at least one of these hardware.

  As mentioned above, although this embodiment was described in detail, it is clear for persons skilled in the art that this embodiment is not limited to the embodiment described in this specification. This embodiment can be implemented as a modification and a change mode, without deviating from the meaning and range of the present invention which become settled by statement of a claim. Therefore, the description of the present specification is for the purpose of illustration and does not have any limitation on the present embodiment.

  The notification of information is not limited to the aspects / embodiments described herein, and may be performed in other manners. For example, notification of information may be physical layer signaling (eg, Downlink Control Information (DCI), Uplink Control Information (UCI)), upper layer signaling (eg, Radio Resource Control (RRC) signaling, Media Access Control (MAC) signaling, It may be implemented by broadcast information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof. Moreover, RRC signaling may be called an RRC message, and may be, for example, an RRC connection setup (RRC Connection Setup) message, an RRC connection reconfiguration (RRC Connection Reconfiguration) message, or the like.

  Each aspect / embodiment described in the present specification is LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G, 5G, FRA (Future Radio Access), W-CDMA (Registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, UWB (Ultra-Wide Band), The present invention may be applied to a system utilizing Bluetooth (registered trademark), other appropriate systems, and / or an advanced next-generation system based on these.

  As long as there is no contradiction, the processing procedure, sequence, flow chart, etc. of each aspect / embodiment described in this specification may be reversed. For example, for the methods described herein, elements of the various steps are presented in an exemplary order and are not limited to the particular order presented.

  The input / output information or the like may be stored in a specific place (for example, a memory) or may be managed by a management table. Information to be input or output may be overwritten, updated or added. The output information etc. may be deleted. The input information or the like may be transmitted to another device.

  The determination may be performed by a value (0 or 1) represented by one bit, may be performed by a boolean value (Boolean: true or false), or may be compared with a numerical value (for example, a predetermined value). Comparison with the value).

  Each aspect / embodiment described in this specification may be used alone, may be used in combination, and may be switched and used along with execution. In addition, notification of predetermined information (for example, notification of "it is X") is not limited to what is explicitly performed, but is performed by implicit (for example, not notifying of the predetermined information) It is also good.

  Software may be called software, firmware, middleware, microcode, hardware description language, or any other name, and may be instructions, instruction sets, codes, code segments, program codes, programs, subprograms, software modules. Should be interpreted broadly to mean applications, software applications, software packages, routines, subroutines, objects, executables, threads of execution, procedures, functions, etc.

  Also, software, instructions, etc. may be sent and received via a transmission medium. For example, software may use a wireline technology such as coaxial cable, fiber optic cable, twisted pair and digital subscriber line (DSL) and / or a website, server or other using wireless technology such as infrared, radio and microwave When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission medium.

  The information, signals, etc. described herein may be represented using any of a variety of different techniques. For example, data, instructions, commands, information, signals, bits, symbols, chips etc that may be mentioned throughout the above description may be voltage, current, electromagnetic waves, magnetic fields or particles, optical fields or photons, or any of these May be represented by a combination of

  The terms described in the present specification and / or the terms necessary for the understanding of the present specification may be replaced with terms having the same or similar meanings. For example, the channels and / or symbols may be signals. Also, the signal may be a message. Also, the component carrier (CC) may be called a carrier frequency, a cell or the like.

  The terms "system" and "network" as used herein are used interchangeably.

  In addition, the information, parameters, and the like described in the present specification may be represented by absolute values, may be represented by relative values from predetermined values, or may be represented by corresponding other information. . For example, radio resources may be indexed.

  The names used for the parameters described above are in no way limiting. In addition, the formulas etc. that use these parameters may differ from those explicitly disclosed herein. Since various channels (eg PUCCH, PDCCH etc.) and information elements (eg TPC etc.) can be identified by any suitable names, the various names assigned to these various channels and information elements can be Is not limited.

  A base station can accommodate one or more (e.g., three) cells (also called sectors). If the base station accommodates multiple cells, the entire coverage area of the base station can be divided into multiple smaller areas, each smaller area being a base station subsystem (eg, a small base station RRH for indoor use: Remote Communication service can also be provided by Radio Head. The terms "cell" or "sector" refer to a part or all of the coverage area of a base station and / or a base station subsystem serving communication services in this coverage. Furthermore, the terms "base station" "eNB", "cell" and "sector" may be used interchangeably herein. A base station may also be called in terms of a fixed station (Node station), NodeB, eNodeB (eNB), access point (access point), femtocell, small cell, and so on.

  Mobile communication terminals may be subscriber stations, mobile units, subscriber units, wireless units, remote units, mobile devices, wireless devices, wireless communication devices, remote devices, mobile subscriber stations, access terminals, mobile terminals, by those skilled in the art. It may also be called a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term.

  The terms "determining", "determining" as used herein may encompass a wide variety of operations. "Judgment", "decision" are, for example, judging, calculating, calculating, processing, processing, deriving, investigating, looking up (for example, a table) (Searching in a database or another data structure), ascertaining may be regarded as “decision”, “decision”, etc. Also, "determination" and "determination" are receiving (e.g. receiving information), transmitting (e.g. transmitting information), input (input), output (output), access (accessing) (for example, accessing data in a memory) may be regarded as “judged” or “decided”. Also, "judgement" and "decision" are to be considered as "judgement" and "decision" that they have resolved (resolving), selecting (selecting), choosing (choosing), establishing (establishing), etc. May be included. That is, "judgment" "decision" may include considering that some action is "judged" "decision".

  The terms "connected", "coupled" or any variants thereof mean any direct or indirect connection or coupling between two or more elements, It can include the presence of one or more intermediate elements between two elements that are “connected” or “coupled”. The coupling or connection between elements may be physical, logical or a combination thereof. As used herein, the two elements are by using one or more wires, cables and / or printed electrical connections, and radio frequency as some non-limiting and non-exclusive examples. It can be considered "connected" or "coupled" to one another by using electromagnetic energy such as electromagnetic energy having wavelengths in the region, microwave region and light (both visible and invisible) regions.

  As used herein, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

  Where the designations "first", "second" etc. are used herein, any reference to such elements does not generally limit the quantity or order of those elements. These designations may be used herein as a convenient way of distinguishing between two or more elements. Thus, reference to the first and second elements does not mean that only two elements can be taken there, or that in any way the first element must precede the second element.

  As long as "includes", "including", and variations thereof are used in the present specification or claims, these terms as well as the term "comprising" Is intended to be comprehensive. Further, it is intended that the term "or" as used in the present specification or in the claims is not an exclusive OR.

  In the present specification, a plurality of devices are also included unless it is a device clearly having only one context or technically. Throughout this disclosure, unless the context clearly indicates otherwise, it is intended to include the plural.

  DESCRIPTION OF SYMBOLS 10 ... At-home rate estimation apparatus, 11 ... Position information acquisition part, 12 ... Auxiliary information acquisition part, 13 ... Estimation part, 14 ... Output part, 1001 ... Processor, 1002 ... Memory, 1003 ... Storage, 1004 ... Communication apparatus, 1005 ... Input device, 1006 ... output device, 1007 ... bus.

Claims (3)

An at-home rate estimation device for estimating the at-home rate of a resident for each geographical area,
A position information acquisition unit that acquires position information indicating a position of a resident of an area to be estimated;
An auxiliary information acquisition unit that acquires auxiliary information including at least one of information on a resident of another area having a specific positional relationship with the area to be estimated and information on a facility existing in the area to be estimated; ,
An estimation unit for estimating the at-home rate of the resident of the area to be estimated based on the position information acquired by the position information acquisition unit and the auxiliary information acquired by the auxiliary information acquisition unit;
An output unit that outputs information indicating the at-home rate of the resident of the area to be estimated estimated by the estimation unit;
An at-home rate estimation device comprising:   The auxiliary information acquisition unit according to claim 1, wherein the auxiliary information acquisition unit acquires information indicating an inflow rate of a resident who is flowing from the other area into the area to be estimated, as the information related to the resident in the other area. At-home rate estimation device.   The estimation unit calculates the at-home rate before correction based on the position information, corrects the at-home rate before correction based on the auxiliary information, and estimates the at-home rate of the resident of the area to be estimated. The at-home rate estimation device according to Item 1 or 2.

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