Information processing device and method

Abstract

A server 40 comprises: a statistical information acquisition unit 41 for acquiring statistical information on a statistical value of the number of people moved between different areas; a ratio information acquisition unit 43 for acquiring ratio information on a ratio of the number of vehicles traveling on each of a plurality of routes connecting different areas; and a calculation unit 44 for calculating demand information on a demand amount of a vehicle traveling on one of the plurality of routes on the basis of the acquired statistical information and the acquired ratio information.

Description

Information processing device and method

[0001] The present invention relates to a technique for estimating vehicle travel demand for a route.

[0002] In urban planning, it is important to understand the travel demand for each route connecting different areas.

[0003] For example, Patent Document 1 discloses a mechanism for predicting the frequency of congestion based on a traffic flow indicating the flow of a plurality of vehicles and a people flow indicating the flow of a plurality of people.

[0004] Japanese Patent Application Laid-Open No. 2021-81871

[0005] The present invention aims to estimate, for each route, potential demand when traveling by vehicle using a route connecting different areas.

[0006] In order to solve the above problem, the present invention provides an information processing device comprising: a statistical information acquisition unit that acquires statistical information regarding the statistics of the number of people moving between different areas; a ratio information acquisition unit that acquires ratio information regarding the ratio of the number of vehicles that have traveled on each of a plurality of routes connecting the different areas; and a calculation unit that calculates demand information regarding the demand for vehicles traveling on one of the plurality of routes based on the acquired statistical information and the acquired ratio information.

[0007] According to the present invention, it is possible to estimate the potential demand for travel by vehicle using routes connecting different areas for each route.

[0008] FIG. 1 is a block diagram showing an example of the overall configuration of an information processing system 1 according to an embodiment of the present invention. FIG. 2 is a block diagram showing an example of the hardware configuration of a server device 40 according to the embodiment. FIG. 3 is a block diagram showing an example of the functional configuration of the server device 40 in the embodiment. FIG. 4 is a diagram illustrating area information in the embodiment. FIG. 5 is a diagram illustrating route information in the embodiment. FIG. 6 is a diagram illustrating statistical information acquired by the server device 40 in the embodiment. FIG. 7 is a diagram illustrating ratio information acquired by the server device 40 in the embodiment. FIG. 8 is a diagram explaining a mechanism by which the server device 40 calculates demand information in the embodiment. FIG. 9 is a flowchart illustrating the operation of the server device 40 in the embodiment. FIG. 10 is a diagram illustrating information stored by the server device 40 in a modified example.

[0009] [Configuration] FIG. 1 is a diagram illustrating an example of an information processing system 1 according to the present embodiment. The information processing system 1 includes multiple user terminals 10, a mobile demographic statistics system 20, a driving history storage device 30, a server device 40, and a network 50 that interconnects the user terminals 10, the mobile demographic statistics system 20, the driving history storage device 30, and the server device 40 so that they can communicate with each other. The network 50 may be, for example, a local area network (LAN) or a wide area network (WAN), or a combination thereof, and may include wired or wireless sections. The network 50 is preferably, but is not necessarily limited to, a network compliant with a fifth-generation mobile communication system. While FIG. 1 illustrates one each of the user terminal 10, the mobile demographic statistics system 20, the driving history storage device 30, and the server device 40, this is merely an example, and multiple of these may be present.

[0010] The user terminal 10 is a computer capable of communication, such as a smartphone, a mobile phone, a tablet, a wearable device, etc. The user terminal 10 includes a device used by a user who travels by vehicle, and a device used by a user who travels by means other than a vehicle (for example, on foot, by train, by bicycle, etc.).

[0011] The mobile demographic statistics system 20 is a computer system that calculates the geographic distribution of each user's location, and can be realized, for example, by using a system called Mobile Spatial Statistics (registered trademark) by NTT Docomo, Inc. The mobile demographic statistics system 20 is capable of calculating the distribution of the anonymized locations of user terminals 10 as user locations for each predetermined time period in predetermined mesh units divided on a map, for example, through de-identification processing, aggregation processing, and anonymization processing.

[0012] The driving history storage device 30 is a computer that stores a driving history, which is a history of driving of a vehicle in which a user rides. This driving history includes the measured position, which is the position of each vehicle, and the date and time of the positioning. For example, when a cloud-based navigation system (not shown) provides a route guidance service to a user driving a vehicle via a user terminal 10, the cloud-based navigation system acquires the measured position and the date and time of the positioning measured by the positioning function (GPS, etc.) of the user terminal 10. The driving history storage device 30 stores information including the measured position and the date and time of the positioning acquired by the navigation system as the driving history. In this case, the driving history storage device 30 is included in the navigation system or is communicably connected to the navigation system.

[0013] The method of acquiring the driving history accumulated by the driving history accumulation device 30 is not limited to the method using the navigation system, but may be any method that can acquire the driving history of a vehicle. For example, the driving history accumulation device 30 may directly acquire and accumulate information including the positioning position and the positioning date and time measured by the user terminal 10 or an in-vehicle terminal (not shown) via the network 50.

[0014] The server device 40 is a computer that functions as an information processing device according to the present invention. The server device 40 acquires statistical information relating to the statistical values ​​of the number of users (i.e., people) who have traveled between different areas from the mobile population statistics system 20, and acquires ratio information relating to the ratio of the number of vehicles that have traveled on each of a plurality of routes connecting different areas from the travel history accumulation device 30. Then, the server device 40 calculates demand information relating to the demand for vehicles for each route based on the statistical information and ratio information.

[0015] 2 is a diagram showing an example of the hardware configuration of the server device 40. The server device 40 is physically configured as a computer device including a processor 4001, a memory 4002, a storage 4003, a communication device 4004, and a bus connecting these. In the following description, the term "device" can be interpreted as a circuit, a device, a unit, etc. The hardware configuration of the server device 40 may be configured to include one or more of the devices shown in the figure, or may be configured to exclude some of the devices.

[0016] Each function in the server device 40 is realized by loading specified software (programs) onto hardware such as the processor 4001 and memory 4002, causing the processor 4001 to perform calculations, control communication via the communication device 4004, and control at least one of reading and writing data in the memory 4002 and storage 4003.

[0017] The processor 4001 controls the entire computer by running, for example, an operating system. The processor 4001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. Furthermore, for example, a baseband signal processing unit, a call processing unit, etc. may be realized by the processor 4001.

[0018] The processor 4001 reads programs (program codes), software modules, data, etc. from at least one of the storage 4003 and the communication device 4004 into the memory 4002 and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described below. The functional blocks of the server device 40 may be implemented by a control program stored in the memory 4002 and running on the processor 4001. Various processes may be executed by one processor 4001, or may be executed simultaneously or sequentially by two or more processors 4001. The processor 4001 may be implemented by one or more chips. The programs may be transmitted from the network 50 to the server device 40 via a telecommunications line.

[0019] The memory 4002 is a computer-readable recording medium and may be configured by, for example, at least one of a read-only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a random access memory (RAM), etc. The memory 4002 may also be called a register, a cache, a main memory (primary storage device), etc. The memory 4002 can store executable programs (program codes), software modules, etc. for implementing the method according to this embodiment.

[0020] Storage 4003 is a computer-readable recording medium, and may be composed of at least one of, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray (registered trademark) disk), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, etc. Storage 4003 may also be called an auxiliary storage device.

[0021] The communication device 4004 is hardware (transmission / reception device) for communicating between computers via the network 50, and is also called, for example, a network device, a network controller, a network card, or a communication module.

[0022] Each device, such as the processor 4001 and the memory 4002, is connected by a bus for communicating information. The bus may be configured using a single bus, or may be configured using different buses between each device.

[0023] The server device 40 may also be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized by the hardware. For example, the processor 4001 may be implemented using at least one of these pieces of hardware.

[0024] Fig. 4 is a block diagram showing an example of the functional configuration of the server device 40. As shown in Fig. 4, the server device 40 realizes the functions of a statistical information acquisition unit 41, a storage unit 42, a ratio information acquisition unit 43, a calculation unit 44, and an output unit 45.

[0025] The statistical information acquisition unit 41 acquires statistical information relating to the statistical values ​​of the number of users (people) who have moved between different areas from the mobile population statistics system 20 via the network 50 .

[0026] The mobile demographic statistics system 20 extracts user terminals 10 that are located in a certain source area during a certain time period T1, and calculates the number of user terminals 10 that are located in a different destination area during a time period T2 that is the same day as time period T1 but later than T1 as the number of users who moved from the source area to the destination area. In this way, when the unit time is, for example, one day (24 hours), the mobile demographic statistics system 20 calculates the number of users who moved from the source area to the destination area for each combination of time periods in a certain day, thereby making it possible to identify the total number of users who moved from the source area to the destination area during that one day.

[0027] The statistical information acquisition unit 41 acquires the total number of users calculated in this way as statistical information related to the statistical value of the number of users who moved between the source area and the destination area. This statistical information includes both the number of users who moved from the source area to the destination area by vehicle and the number of users who moved by means other than vehicle, and represents the total demand of the group of users moving from the source area to the destination area.

[0028] The statistical information acquired by the statistical information acquisition unit 41 is stored in the storage unit 42. Specifically, as shown in Fig. 4, for each combination of a source area and a destination area, statistical information related to the statistical value of the number of users who moved between these source areas and destination areas is stored. In the example of Fig. 4, for example, the number of users who moved from a source area with area ID "A001" to a destination area with area ID "A002" is "X1".

[0029] The memory unit 42 also stores area information such as that shown in FIG. 5, that is, location information indicating the location of each area in association with the area ID of the area (for example, when the area is rectangular, a group of latitudes and longitudes indicating the positions of the vertices of the rectangle).

[0030] Returning to the explanation of FIG. 3, the ratio information acquisition unit 43 acquires ratio information relating to the ratio of the number of vehicles that have traveled on each of a plurality of routes connecting different areas from the travel history accumulation device 30 via the network 50.

[0031] As described above, the driving history storage device 30 stores the driving history of vehicles, and so if it stores location information indicating the location of each route section (for example, a group of latitudes and longitudes indicating the position of a line segment when the route section is treated as a line segment) in association with the route section ID of each route section, as shown in Figure 6, it can calculate the number of vehicles that have traveled each route section. Each route section here corresponds to an edge when intersections, start points, and end points are treated as nodes in the entire route network.

[0032] The driving history accumulation device 30 calculates the ratio of the number of vehicles that have traveled on each of multiple routes connecting different areas, using the number of vehicles that have traveled on each route section, assuming that the unit time is, for example, one day (24 hours). The multiple routes connecting different areas here refer to routes that lead from the source area to the destination area by connecting the above-mentioned route sections between the source area and the destination area.

[0033] The ratio information acquisition unit 43 acquires the ratio calculated for each route in this manner as ratio information relating to the ratio of the number of vehicles that traveled on each of these routes. The ratio information acquired by the ratio information acquisition unit 43 is stored in the storage unit 42. Specifically, as shown in Fig. 7 , for each combination of a source area and a destination area, ratio information relating to the ratio of the number of vehicles that traveled on each route connecting these source areas and destination areas is stored.

[0034] This ratio information means the ratio of the demand for each route connecting the source area and the destination area when a large number of users travel by vehicle from the source area to the destination area. In the example of Figure 7, for example, among the multiple routes connecting the source area with area ID "A001" and the destination area with area ID "A002," the ratio of the number of vehicles traveling on the route with route ID "R001" from the source area with area ID "A001" to the destination area with area ID "A002," the number of vehicles traveling on the route with route ID "R002" from the source area with area ID "A001" to the destination area with area ID "A002," ..., the number of vehicles traveling on the route with route ID "Rn" from the source area with area ID "A001" to the destination area with area ID "A002" is P1:P2:...:Pn.

[0035] 3 , the calculation unit 44 calculates demand information regarding the demand amount of vehicles traveling on one of the multiple routes connecting different areas, based on the statistical information acquired by the statistical information acquisition unit 41 and the ratio information acquired by the ratio information acquisition unit 43. The output unit 45 outputs the demand information calculated by the calculation unit 44.

[0036] Specifically, the calculation unit 44 calculates the demand information for each route by multiplying the statistical information between the source area and the destination area by the ratio information corresponding to each route connecting those areas. As described above, the statistical information and the ratio information are each information for each unit time, such as one day (24 hours), so the demand information calculated based on these is also information for each unit time. The calculation unit 44 calculates the demand amount for every combination of source area and destination area.

[0037] As a result, as shown in Figure 8, for each of multiple routes r1, r2, r3, ..., rn connecting a certain source area As to another destination area Ag, a value (demand information) is calculated by multiplying the statistical information between the source area As and the destination area Ag by the ratio information corresponding to each route r1, r2, r3, ..., rn.

[0038] As mentioned above, the statistical information indicates the total demand of the group of users who moved from the source area to the destination area, and the ratio information indicates the ratio of the demand for each route of users who traveled by vehicle from the source area to the destination area. The total demand indicated by the statistical information is the demand including users who actually wanted to travel by vehicle but traveled by means other than vehicle due to delays, such as traffic congestion. Therefore, the demand information, which is the value obtained by multiplying the statistical information and the ratio information, is an index value of the demand including the latent demand of the group of users who want to travel by vehicle from the source area to the destination area.

[0039] [Operation] Next, the operation of the server device 40 will be described. The steps of each process shown in Fig. 9 are written in a program stored in the server device 40. In Fig. 9, for example, when a source area and a destination area to be analyzed are specified using mesh codes assigned to each mesh divided by the mobile population statistics system 20, the statistical information acquisition unit 41 acquires statistical information related to the statistical value of the number of users who moved between these areas, and the ratio information acquisition unit 43 acquires ratio information related to the ratio of the number of vehicles that traveled on each of multiple routes connecting these areas (step S11). This statistical information and ratio information are stored in the storage unit 42.

[0040] Next, the calculation unit 44 calculates demand information regarding the demand volume of vehicles traveling on each of the multiple routes connecting the source area and the destination area by multiplying the statistical information acquired by the statistical information acquisition unit 41 by the ratio information acquired by the ratio information acquisition unit 43 (step S12).

[0041] Then, the output unit 45 outputs the demand information calculated by the calculation unit 44 (step S13).

[0042] According to the embodiment described above, it is possible to estimate the potential demand for travel by vehicle using routes connecting different areas for each route.

[0043] [Modifications] The present invention is not limited to the above-described embodiment. The above-described embodiment may be modified as follows. Furthermore, two or more of the following modifications may be combined and implemented.

[0044] [Variation 1] In the above embodiment, the statistical information acquisition unit 41 acquires the statistical information calculated by the mobile demographic statistics system 20 via the network 50, and the ratio information acquisition unit 43 acquires the ratio information calculated by the driving history accumulation device 30 via the network 50. In other words, the server device 40 acquires the statistical information and ratio information calculated outside the server device 40, but instead, the server device 40 may obtain information for calculating the statistical information and ratio information from the mobile demographic statistics system 20 and the driving history accumulation device 30, and the server device 40 itself may calculate and acquire the statistical information and ratio information.

[0045] Specifically, the statistical information acquisition unit 41 obtains the number of user terminals 10 located in the destination area among the user terminals 10 located in the source area in, for example, one day (unit time) from the mobile population statistics system 20 via the network 50. Then, the statistical information acquisition unit 41 uses this to calculate the total number of users who moved from the source area to the destination area in one day (unit time), thereby acquiring statistical information related to the statistical value of the number of users who moved between the source area and the destination area.

[0046] Furthermore, the ratio information acquisition unit 43 obtains the number of vehicles that have traveled on each route section in, for example, one day (unit time) from the travel history accumulation device 30 via the network 50. Then, the ratio information acquisition unit 43 uses this to calculate the ratio of the number of vehicles that have traveled on each of the multiple routes connecting the source area and the destination area, thereby acquiring ratio information regarding the ratio of the number of vehicles that have traveled on each of the multiple routes connecting the source area and the destination area.

[0047] Then, the calculation unit 44 calculates demand information regarding the demand volume of vehicles traveling on one of the multiple routes connecting different areas based on the statistical information acquired by the statistical information acquisition unit 41 and the ratio information acquired by the ratio information acquisition unit 43 as described above.

[0048] [Variation 2] For example, a user may wish to know the travel demand from their residence. Therefore, the server device 40 may estimate the vehicle travel demand of only users whose residences are in the source area. In this case, the server device 40 transmits statistical information including the user's location during a predetermined time period, such as 3:00 AM to 4:00 AM, when the user is likely to be asleep, to the server device 40 via the mobile demographic statistics system 20, and the statistical information acquisition unit 41 acquires this information. Then, the server device 40 estimates statistical information regarding the statistical value of the number of users whose locations included in the statistical information acquired by the statistical information acquisition unit 41 are included in the source area. The calculation unit 44 then calculates demand information corresponding to each route by multiplying the estimated statistical information by the ratio information for each route acquired by the ratio information acquisition unit 43.

[0049] In this way, the server device 40 may include an estimation unit that estimates statistical information related to the statistical value of the number of people who have residences in the source area based on the statistical information acquired by the statistical information acquisition unit 41, and the calculation unit 44 may calculate demand information based on the statistical information estimated by the estimation unit and the ratio information acquired by the ratio information acquisition unit 43. This makes it possible to estimate the demand for vehicle travel from the residence where the user resides.

[0050] [Variation 3] In the above embodiment, the statistical information refers to the total demand of a group of users who wish to travel from a source area to a destination area regardless of the user's means of transportation, and the ratio information refers to the ratio of the demand for each route of users traveling from the source area to the destination area by vehicle. Therefore, the value obtained by multiplying these (demand information) corresponds to an index value of the potential demand of a group of users who wish to travel from the source area to the destination area by vehicle.

[0051] In contrast to this, the demand information may be corrected using a transportation share rate, which is the ratio of transportation carried by vehicles among a plurality of transportation modes such as vehicles, walking, bicycles, and railways.

[0052] In this case, the storage unit 42 pre-stores the transportation share rates for each transportation mode as shown in Fig. 10. These transportation share rates may be estimated, for example, by a method such as a survey of a large group of users, or by other methods. In the example of Fig. 10, the transportation share rates for the user's transportation modes of car, walking, bicycle, rail, etc. are K1:K2:K2:K4:... The calculation unit 44 performs correction by further multiplying the result of multiplying the statistical information and the ratio information by the transportation share rate of car.

[0053] In this way, the calculation unit 44 may correct the demand information calculated based on the statistical information and the ratio information using the transportation share rate that the vehicle accounts for among multiple transportation modes. In this way, it becomes possible to estimate the transportation demand of users who will actually use the vehicle.

[0054] [Variation 4] The server device 40 calculates demand information regarding the demand for vehicles traveling on one of the multiple routes based on statistical information regarding the statistical value of the number of people traveling between different areas and ratio information regarding the ratio of the number of vehicles traveling on each of the multiple routes connecting the different areas. In the above embodiment, the result of comparing the number of vehicles traveling on each of the multiple routes is expressed as a "ratio," but this may also be expressed as a "proportion." In other words, the ratio information regarding the ratio of the number of vehicles traveling on each of the multiple routes connecting the different areas in the present invention may be information indicating the ratio of the number of vehicles traveling on each of the multiple routes, information indicating the proportion of the number of vehicles traveling on each of the multiple routes, or information regarding these ratios or ratios (e.g., a value that varies depending on the ratio or proportion).

[0055] [Variation 5] While the server device 40 is illustrated as an example of an information processing device according to the present invention, the present invention can be applied to any computer that implements the functional blocks illustrated in FIG. 3 . Furthermore, the order of the processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in this disclosure may be changed as long as there is no contradiction. For example, the method described in this disclosure presents various step elements using an exemplary order, and is not limited to the specific order presented. The present invention may also be an information processing method including: a statistical information acquisition step of acquiring statistical information regarding statistics on the number of people traveling between different areas; a ratio information acquisition step of acquiring ratio information regarding the ratio of the number of vehicles traveling on each of a plurality of routes connecting the different areas; and a calculation step of calculating demand information regarding the demand for vehicles traveling on one of the plurality of routes based on the acquired statistical information and the acquired ratio information.

[0056] [Other Modifications] The block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are directly or indirectly connected (for example, using wires, wirelessly, etc.) and these multiple devices. The functional block may also be realized by combining software with the single device or the multiple devices.

[0057] Functions include, but are not limited to, judgment, determination, assessment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, consideration, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how these functions are implemented.

[0058] The notification of information is not limited to the aspects / embodiments described in the present disclosure and may be performed using other methods. For example, the notification of information may be performed by physical layer signaling (e.g., Downlink Control Information (DCI) and Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information (Master Information Block (MIB) and System Information Block (SIB))), other signals, or a combination thereof. Furthermore, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

[0059] Each aspect / embodiment described in the present disclosure may be applied to at least one of systems using LTE (Long Term Evolution), LTE-Advanced (LTE-A), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), 5G (5th generation mobile communication system), FRA (Future Radio Access), NR (New Radio), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, UWB (Ultra-Wide Band), Bluetooth (registered trademark), or other suitable systems, and next-generation systems extended based on these. Furthermore, a combination of multiple systems (e.g., a combination of at least one of LTE and LTE-A with 5G, etc.) may also be applied.

[0060] Information etc. may be output from a higher layer (or a lower layer) to a lower layer (or a higher layer), or may be input / output via multiple network nodes.

[0061] Input and output information may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information may be overwritten, updated, or added to. Output information may be deleted. Input information may be sent to another device.

[0062] The determination may be made based on a value represented by one bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

[0063] Each aspect / embodiment described in the present disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, notification of predetermined information (e.g., notification that "X" exists) is not limited to explicit notification, but may be implicit (e.g., not notifying the predetermined information). While the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the spirit and scope of the present disclosure as defined by the claims. Therefore, the description of the present disclosure is intended for illustrative purposes only and does not have any limiting meaning on the present disclosure.

[0064] Software, whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise, should be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc. Additionally, software, instructions, information, etc. may be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), then such wired and / or wireless technologies are included within the definition of a transmission medium.

[0065] Information, signals, and the like described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, and the like that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof. Terms described in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). A signal may also be a message. A component carrier (CC) may also be referred to as a carrier frequency, a cell, a frequency carrier, or the like.

[0066] As used in this disclosure, the terms "system" and "network" are used interchangeably.

[0067] Furthermore, the information, parameters, etc. described in this disclosure may be represented using absolute values, relative values ​​from a predetermined value, or other corresponding information. For example, radio resources may be indicated by an index. The names used for the above-described parameters are not limiting in any way. Furthermore, mathematical formulas using these parameters may differ from those explicitly disclosed in this disclosure. Various channels (e.g., PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not limiting in any way.

[0068] In this disclosure, the terms "Mobile Station (MS)," "user terminal," "User Equipment (UE)," "terminal," etc. may be used interchangeably. A mobile station may also be referred to by those skilled in the art as a subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable terminology.

[0069] The user terminal 10 may also be called a transmitting device, a receiving device, a communication device, etc.

[0070] The terms "determining" and "determining" can encompass a wide variety of actions. "Determining" can include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching a table, database, or other data structure), and ascertaining something that is considered a "judging" or "determining." "Determining" can also include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, and accessing (e.g., accessing data in memory), all of which are considered to be "judging" or "determining." Furthermore, "judgment" and "decision" can include regarding resolving, selecting, choosing, establishing, comparing, etc. as having been "judged" or "decided." In other words, "judgment" and "decision" can include regarding some action as having been "judged" or "decided." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0071] The terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using one or more wires, cables, and / or printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and optical (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

[0072] As used in this disclosure, 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."

[0073] The "means" in the configuration of each of the above devices may be replaced with "part," "circuit," "device," etc.

[0074] When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, when the term "or" is used in this disclosure, it is not intended to be an exclusive or.

[0075] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0076] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0077] 1...information processing system, 10...user terminal, 20...mobility demographic statistics system, 30...travel history accumulation device, 40...server device, 4001...processor, 4002...memory, 4003...storage, 4004...communication device, 41...statistical information acquisition unit, 42...storage unit, 43...ratio information acquisition unit, 44...calculation unit, 45...output unit, 50...network, As...source area, Ag...destination area, r1, r2, r3, rn...route.

Claims

1. An information processing device comprising: a statistical information acquisition unit that acquires statistical information regarding the statistics of the number of people traveling between different areas; a ratio information acquisition unit that acquires ratio information regarding the ratio of the number of vehicles that have traveled on each of a plurality of routes connecting the different areas; and a calculation unit that calculates demand information regarding the demand for vehicles traveling on one of the plurality of routes based on the acquired statistical information and the acquired ratio information.

2. The information processing device according to claim 1, characterized in that the calculation unit calculates the demand information using a value obtained by multiplying the acquired statistical information by the acquired ratio information.

3. The information processing device described in claim 1, characterized in that the statistical information and the ratio information are each values ​​per unit time, and the calculation unit calculates the demand information using the statistical information obtained for a certain unit time and the ratio information obtained for the certain unit time.

4. An information processing device as described in claim 1, characterized in that it is provided with an estimation unit that estimates statistical information regarding the statistical value of the number of people who have moved between the different areas and have a residence in the area from which they moved, based on the acquired statistical information, and the calculation unit calculates the demand information based on the estimated statistical information and the acquired ratio information.

5. The information processing device described in claim 1, characterized in that the calculation unit corrects the demand information calculated based on the acquired statistical information and the acquired ratio information using a traffic share rate, which is the ratio of the vehicle to multiple transportation means.

6. The information processing device according to claim 1, wherein the calculation unit calculates the demand for each combination of a source area and a destination area.

7. An information processing method comprising: a statistical information acquisition step for acquiring statistical information relating to the statistics of the number of people traveling between different areas; a ratio information acquisition step for acquiring ratio information relating to the ratio of the number of vehicles traveling on each of a plurality of routes connecting the different areas; and a calculation step for calculating demand information relating to the demand for vehicles traveling on one of the plurality of routes based on the acquired statistical information and the acquired ratio information.

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