Information Processing Method, Information Processing Apparatus, and Storage Medium

Abstract

The present invention relates to an information processing method, an information processing apparatus, and a storage medium. The information processing method is a method executed by the information processing apparatus, and includes: obtaining a first predicted value of power demand in an area including one or more residential facilities; and dispatching a vehicle that causes residents in at least a part of the area to move from the residential facilities when a specified condition regarding the first predicted value is satisfied.

Description

Technical Field

[0001] The present invention relates to an information processing method, an information processing apparatus, and a storage medium. Background Art

[0002] Conventionally, a technique for reducing power consumption has been known. For example, Japanese Unexamined Patent Application Publication No. 2016-164758 discloses a system that focuses on encouraging the occupants of houses in a certain area to go out to reduce the energy consumption in that area.

[0003] An improvement in the technique for reducing power consumption is desired. Summary of the Invention

[0004] An object of the present disclosure, which has been made in view of the above circumstances, is to improve the technique for reducing power consumption.

[0005] A method according to one embodiment of the present disclosure is a method executed by an information processing apparatus, the method including: obtaining a first predicted value of power consumption in a region including one or more residential facilities; and dispatching a vehicle that causes at least some of the residents in the region to move from the residential facilities when a specified condition regarding the first predicted value is satisfied.

[0006] An information processing apparatus according to one embodiment of the present disclosure is an information processing apparatus including a control unit, the control unit being configured to: obtain a first predicted value of power consumption in a region including one or more residential facilities, and dispatch a vehicle that causes at least some of the residents in the region to move from the residential facilities when a specified condition regarding the first predicted value is satisfied.

[0007] A storage medium according to one embodiment of the present disclosure stores a program that causes an information processing apparatus to perform the following actions: obtain a first predicted value of power consumption in a region including one or more residential facilities; and dispatch a vehicle that causes at least some of the residents in the region to move from the residential facilities when a specified condition regarding the first predicted value is satisfied.

[0008] According to one embodiment of the present disclosure, the technique for reducing power consumption is improved.

[0009] Hereinafter, with reference to the accompanying drawings, the features, advantages, and technical and industrial significance of exemplary embodiments of the present invention will be described. In the drawings, the same reference numerals denote the same elements. Brief Description of the Drawings

[0010] Figure 1 is a block diagram showing a schematic configuration of a system according to one embodiment of the present disclosure.

[0011] Figure 2 is a block diagram showing a schematic configuration of a terminal device.

[0012] Figure 3 is a block diagram showing a schematic configuration of an information processing device.

[0013] Figure 4 is a block diagram showing a schematic configuration of a vehicle.

[0014] Figure 5 is a flowchart showing the operation of the information processing device. Detailed Embodiments

[0015] Hereinafter, embodiments of the present invention will be described.

[0016] (Summary of Embodiment)

[0017] Refer to Figure 1 to describe the outline of the system 1 according to an embodiment of the present disclosure. The system 1 includes one or more terminal devices 10, an information processing device 20, and a vehicle 30. The terminal device 10, the information processing device 20, and the vehicle 30 are communicably connected to a network 40 including a mobile communication network and the Internet, for example.

[0018] The terminal device 10 is any device used by residents in a certain area of a residential facility existing in a certain area. For example, a smartphone, a tablet terminal, a PC (Personal Computer), or a HEMS (Home Energy Management System) dedicated terminal can be used as the terminal device 10. The residential facility is a single-family house, or a collective housing such as an apartment, a condominium, or a nursing home, but is not limited to these, and can be any facility for people to live in.

[0019] The information processing device 20 is, for example, a server device, but is not limited thereto, and can be any computer. The vehicle 30 is, for example, a bus or other passenger vehicle, but is not limited thereto, and can be any vehicle that people can ride in. The vehicle 30 can, for example, also perform autonomous driving of levels 1 to 5 defined by the SAE (Society of Automotive Engineers).

[0020] The vehicle 30 is used to move (i.e., go out) at least a part of the residents in an area including one or more residential facilities from the residential facilities. As a result of the residents going out, the power demand in the residential facilities is reduced, and thus the power demand in the entire area can be reduced.

[0021] First, an overview of this embodiment will be described, and the details will be described later. The information processing device 20 obtains a first predicted value of the required power in an area including one or more residential facilities. Moreover, when a specified condition regarding the first predicted value is satisfied, the information processing device 20 dispatches the vehicle 30 that causes at least a part of the residents in the area to move from the residential facilities.

[0022] Thus, according to this embodiment, when a specified condition regarding the first predicted value of the required power in the target area is satisfied, the vehicle 30 is dispatched. For example, when it is anticipated that the first predicted value is greater than or equal to a specified threshold value and the required power in the area is relatively large, the vehicle 30 can be dispatched. By dispatching the vehicle 30, it is possible to give at least a part of the residents in the area an incentive to move (i.e., go out) from the residential facilities. As described above, by the residents going out, the required power in the residential facilities can be reduced. Therefore, the possibility of reducing the required power in the residential facilities and thus reducing the required power in the entire area is increased, thereby improving the technology for reducing the required power.

[0023] Next, each structure of the system 1 will be described in detail.

[0024] (Structure of the terminal device)

[0025] As Figure 2 shown, the terminal device 10 includes a communication unit 11, an output unit 12, an input unit 13, a storage unit 14, and a control unit 15.

[0026] The communication unit 11 includes one or more communication interfaces connected to the network 40. This communication interface corresponds to, for example, mobile communication standards such as 4G (4th Generation - the 4th generation of mobile communication) and 5G (5th Generation - the 5th generation of mobile communication), but is not limited to these and can also correspond to any communication standard. In this embodiment, the terminal device 10 communicates with the information processing device 20 via the communication unit 11 and the network 40.

[0027] The output unit 12 includes one or more output devices that output information to notify the user. This output device is, for example, a display that outputs information through images, or a speaker that outputs information through sound, etc., but is not limited to these.

[0028] The input unit 13 includes one or more input devices that detect user input. This input device is, for example, a physical key, a capacitive key, a touch screen integrated with the display of the output unit 12, a microphone that accepts voice input, or a camera, etc., but is not limited to these.

[0029] The storage unit 14 includes one or more memories. In the present embodiment, the "memory" is, for example, a semiconductor memory, a magnetic memory, an optical memory, or the like, but is not limited thereto. Each memory included in the storage unit 14 can also function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 14 stores any information for the operation of the terminal device 10. For example, the storage unit 14 can also store system programs and application programs. For example, the information stored in the storage unit 14 can also be updated by information obtained from the network 40 via the communication unit 11.

[0030] The control unit 15 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The processor is, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for specific processing, but is not limited thereto. The programmable circuit is, for example, an FPGA (Field-Programmable Gate Array), but is not limited thereto. The dedicated circuit is, for example, an ASIC (Application Specific Integrated Circuit), but is not limited thereto. The control unit 15 controls the overall operation of the terminal device 10.

[0031] (Structure of the information processing device)

[0032] As Figure 3 shown, the information processing device 20 includes a communication unit 21, a storage unit 22, and a control unit 23.

[0033] The communication unit 21 includes one or more communication interfaces connected to the network 40. This communication interface corresponds to, for example, a mobile body communication standard, a wired LAN (Local Area Network) standard, or a wireless LAN standard, but is not limited thereto and can also correspond to any communication standard. In the present embodiment, the information processing device 20 communicates with the terminal device 10 and the vehicle 30 via the communication unit 21 and the network 40.

[0034] The storage unit 22 includes one or more memories. Each memory included in the storage unit 22 can also function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 22 stores any information for the operation of the information processing device 20. For example, the storage unit 22 can also store system programs, application programs, databases, and map information, etc. For example, the information stored in the storage unit 22 can also be updated by information obtained via the communication unit 21 from the network 40.

[0035] In the present embodiment, the storage unit 22 stores information of residents in the area of interest. The information of residents includes, for example, information indicating whether they are healthy normal people, location information of residential facilities, and information indicating the type of energy (e.g., non-renewable energy or renewable energy, etc.) contract for the residents to achieve the utilization in the residential facilities, etc., but is not limited to these, and can also include any information about the residents. For the information of residents, it can be input to the information processing device 20 via the terminal device 10 operated by the residents themselves, or can also be input by the operator based on the consent of the residents.

[0036] The control unit 23 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination of these. The control unit 23 controls the overall operation of the information processing device 20.

[0037] (Structure of the vehicle)

[0038] As Figure 4 shown, the vehicle 30 includes a communication unit 31, a positioning unit 32, a photographing unit 33, a storage unit 34, and a control unit 35.

[0039] The communication unit 31 includes one or more communication interfaces connected to the network 40. This communication interface corresponds to, for example, a mobile body communication standard, but is not limited to these. In the present embodiment, the vehicle 30 communicates with the information processing device 20 via the communication unit 31 and the network 40.

[0040] The positioning unit 32 includes one or more devices for obtaining the position information of the vehicle 30. Specifically, the positioning unit 32 includes, for example, a receiver corresponding to GPS, but is not limited to this, and can also include a receiver corresponding to any satellite positioning system.

[0041] The photographing unit 33 includes one or more cameras. Each camera included in the photographing unit 33 can also be arranged on the vehicle 30 in a manner capable of photographing an object outside or inside the vehicle. The image generated by the photographing unit 33 can be used, for example, for the autonomous driving control of the vehicle 30.

[0042] The storage unit 34 includes one or more memories. Each memory included in the storage unit 34 can also function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 34 stores any information for the operation of the vehicle 30. For example, the storage unit 34 can store system programs, application programs, and embedded software, etc. For example, the information stored in the storage unit 34 can also be updated by information obtained via the communication unit 31 from the network 40.

[0043] The control unit 35 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The control unit 35 controls the overall operation of the vehicle 30.

[0044] (Operation flow of the information processing device)

[0045] Refer to Figure 5 The operation flow of the information processing device 20 will be described. This operation is generally to dispatch the operation of the vehicle 30 when the first condition and the second condition included in the specified conditions regarding the first predicted value of the required power are satisfied.

[0046] Step S100: The control unit 23 of the information processing device 20 obtains the first predicted value of the required power in the area including one or more residential facilities.

[0047] The first predicted value is, for example, the predicted value of the required power in the area at a future time after a specified time has elapsed from the current time. Any method can be used to obtain the first predicted value. For example, the control unit 23 can calculate the first predicted value based on the actual value of the required power received via the communication unit 21 and the network 40 from devices such as smart meters or external servers, or can directly receive the first predicted value from such devices.

[0048] Step S101: The control unit 23 determines whether the first condition that the first predicted value in step S100 is equal to or greater than the threshold is satisfied. If it is determined that the first condition is satisfied (i.e., the first predicted value is equal to or greater than the threshold) (step S101 - Yes), the process proceeds to step S102. On the other hand, if it is determined that the first condition is not satisfied (i.e., the first predicted value is less than the threshold) (step S101 - No), the process repeats step S101.

[0049] In addition, the threshold of step S101 can be arbitrarily selected. For example, the control unit 23 can determine the threshold based on a demand response signal received via the communication unit 21 and the network 40 from an external server managed by an enterprise such as a power company or an information aggregation company. Or, for example, the control unit 23 can determine the threshold based on the input of an operator.

[0050] Step S102: When it is determined in Step S101 that the first condition is satisfied (Step S101 - Yes), the control unit 23 identifies the residents of at least a part of the area. Further, the control unit 23 determines the travel route of the vehicle 30 based on the locations of the residential facilities of the identified residents.

[0051] As will be described later, in the present embodiment, the vehicle 30 functions as an on - demand bus that moves to a specified non - residential facility by passing by the residential facilities of each of the residents identified in Step S102. Each resident identified by the information processing device 20 can move from the residential facility to the specified non - residential facility by vehicle 30 by boarding the vehicle 30 that arrives at their own residential facility. The specified non - residential facility is, for example, a shopping center, a department store, or a library, etc., but is not limited to these, and can also be any facility that can accommodate multiple people.

[0052] In the identification of residents, any method can be adopted. For example, the control unit 23 can also identify the residents among the residents of the area who use non - renewable energy in their residential facilities. Specifically, the storage unit 22 can pre - store information indicating whether the energy used in each residential facility in the area (for example, the energy for which the resident has entered into a contract for use in the residential facility) is non - renewable energy as resident information. Or the control unit 23 can receive this information from an external server managed by an enterprise such as an electric power company or an information aggregation company via the communication unit 21 and the network 40. The control unit 23 can also identify the residents who are using non - renewable energy in their residential facilities based on this information. According to the above structure, it is possible to give the residents who are using non - renewable energy an incentive to go out, and thus it is possible to reduce the consumption of non - renewable energy in the entire area.

[0053] Alternatively, the control unit 23 may also determine the travel cost of each resident based on the information of the residents in the area, and identify the residents whose travel cost is above the threshold. The travel cost is the cost for a resident to move (i.e., go out) from the residential facility. In other words, the travel cost is an index indicating the magnitude of the burden when a resident goes out. The higher the travel cost of a resident, the greater the burden on the resident when going out. Specifically, the control unit 23 may also determine the travel cost of each resident such that the travel cost of a resident with a physical defect is higher than that of a resident who is a healthy normal person. Alternatively, the control unit 23 may also determine the travel cost of each resident such that the higher the distance from the residential facility to a specified non-residential facility that functions as the on-demand bus as described above, the higher the travel cost. Alternatively, the control unit 23 may also determine the travel cost of each resident such that the higher the monetary cost (e.g., the freight when moving from the residential facility to the specified non-residential facility by taxi) when not using the vehicle 30 to move from the residential facility to the non-residential facility, the higher the travel cost. According to the above structure, it is possible to give the residents with a relatively high travel cost (i.e., the residents with a relatively large burden when going out) the motivation to go out, thereby reducing the possibility of increased power demand in the entire area.

[0054] If at least a part of the residents in the area is identified, the control unit 23 determines the travel route of the vehicle 30 such that the vehicle 30 passes by the residential facilities of the identified residents and moves to the specified non-residential facility. Specifically, the control unit 23 may also determine the travel route of the vehicle 30 by performing a route search process with the location where the vehicle 30 stands by as the starting point, the residential facilities of the identified residents as the passing points, and the specified non-residential facility as the destination. However, in determining the travel route, it is not limited to this example, and any method may be adopted.

[0055] Step S103: The control unit 23 obtains the second predicted value of the power demand in the area.

[0056] The second predicted value is, for example, the predicted value of the required power in the area at a future time after a specified time has elapsed from the current time on the assumption that vehicle 30 has been dispatched. Therefore, the first predicted value in step S100 is the predicted value of the required power when vehicle 30 has not been dispatched, and the second predicted value in step S103 is the predicted value of the required power when vehicle 30 has been dispatched. Specifically, the control unit 23 may also calculate the second predicted value by subtracting the required power of the residential facilities of each resident determined in step S102 from the first predicted value in step S100 and adding the power required for vehicle 30 to move along the driving route determined in step S102. However, in obtaining the second predicted value, it is not limited to this example, and any method can be adopted.

[0057] Step S104: The control unit 23 determines whether the second condition that the second predicted value in step S103 is less than the first predicted value in step S100 is satisfied. When it is determined that the second condition is satisfied (i.e., the second predicted value is less than the first predicted value) (step S104 - Yes), the process proceeds to step S105. On the other hand, when it is determined that the second condition is not satisfied (i.e., the second predicted value is greater than or equal to the first predicted value) (step S104 - No), the process ends.

[0058] Here, the second condition may also be the condition that the second predicted value is less than the first predicted value and the difference between the first predicted value and the second predicted value is equal to or greater than a threshold value.

[0059] Step S105: When it is determined in step S104 that the second condition is satisfied (step S104 - Yes), the control unit 23 dispatches vehicle 30 to move at least a part of the residents in the area from their residential facilities.

[0060] In the present embodiment, the control unit 23 dispatches vehicle 30 to move each resident determined in step S102 from their residential facilities. Specifically, the control unit 23 dispatches vehicle 30 by sending a signal including the driving route determined in step S102 and the position information of the residential facilities of each resident determined in step S102. This signal can be sent to vehicle 30 via the communication unit 21 and the network 40, for example, or can also be sent to the computer of the enterprise that manages vehicle 30. Vehicle 30 starts to move in such a way as to pass by the residential facilities of each resident and head towards a specified non-residential facility based on this signal. Here, the control unit 23 may also send information indicating the dispatch of vehicle 30 to the terminal device 10 of each resident determined in step S102 via the communication unit 21 and the network 40. Each resident can identify the situation of the dispatch of vehicle 30 by using the terminal device 10 to confirm this information.

[0061] As described above, the information processing apparatus 20 according to the present embodiment acquires a first predicted value of power demand in a region including one or more residential facilities. Further, when a predetermined condition regarding the first predicted value is satisfied, the information processing apparatus 20 dispatches the vehicle 30 that causes at least some of the residents in the region to move from the residential facilities.

[0062] According to the above configuration, when a predetermined condition regarding the first predicted value of power demand in the target region is satisfied, the vehicle 30 is dispatched. For example, when it is anticipated that the power demand in the region is relatively large, such as when the first predicted value is equal to or greater than a predetermined threshold value, the vehicle 30 can be dispatched. By dispatching the vehicle 30, it is possible to give at least some of the residents in the region an incentive to go out. As described above, by the residents going out, the power demand in the residential facilities can be reduced. Therefore, the possibility of reducing the power demand in the residential facilities and thus reducing the power demand in the entire region is increased, thereby improving the technology for reducing the power demand.

[0063] The present invention has been described based on the respective drawings and embodiments. However, note that those skilled in the art can also make various modifications and changes based on the present disclosure. Therefore, note that these modifications and changes are included in the scope of the present invention. For example, the functions included in each structural part or each step, etc. can be reconfigured in a logically consistent manner, and a plurality of structural parts or steps, etc. can be combined into one, or a plurality of structural parts or steps, etc. can be divided.

[0064] For example, in the above-described embodiment, it is also possible to cause at least one of the terminal device 10 and the vehicle 30 to execute part or all of the operations executed by the information processing apparatus 20. Further, it is also possible to cause a plurality of computers capable of communicating with each other to execute the operations executed by the information processing apparatus 20 in a distributed manner.

[0065] Further, in the above-described embodiment, an example in which the predetermined condition regarding the first predicted value of power demand in the region includes both the first condition and the second condition has been described. However, the predetermined condition may not include the second condition. In the above case, for example, the steps S103 and S104 shown Figure 5 may also be omitted. Specifically, if at least some of the residents in the region are determined in step S102 and the travel route of the vehicle 30 is determined, the process proceeds to step S105. In step S105, the control unit 23 of the information processing apparatus 20 dispatches the vehicle 30 that causes each of the residents determined in step S102 to move from the residential facilities.

[0066] Further, in the above-described embodiment, an example in which the vehicle 30 passes by Figure 5An example of the function of the on-demand bus that moves the residential facilities of each resident determined in step S102 shown and moves them to the specified non-residential facilities has been described. However, the vehicle 30 can also function as an intercity bus that moves along a specified travel route to a specified non-residential facility. In the above case, for example, Figure 5 Step S102 shown can be omitted. Specifically, when it is determined in step S101 that the first condition is satisfied (step S101 - YES), the process proceeds to step S103. In step S103, the control unit 23 of the information processing device 20 can, for example, calculate the second predicted value by subtracting the required power of the residential facilities of each resident determined in step S102 from the first predicted value in step S100 and adding the power required for the vehicle 30 to move along the specified travel route to the specified non-residential facility.

[0067] Also, Figure 5 Steps S102 to S104 shown can be omitted. Specifically, when it is determined in step S101 that the first condition is satisfied (step S101 - YES), the process proceeds to step S105. In step S105, the control unit 23 of the information processing device 20 can, for example, dispatch the vehicle 30 that functions as an intercity bus moving along the specified travel route to the specified non-residential facility.

[0068] In addition, in the above-described embodiment, an example in which the information processing device 20 determines at least a part of the residents in the area in Figure 5 Step S102 shown has been described. Here, the information processing device 20 can, for example, conduct a recruitment among the residents of the area and determine each resident who has responded to the recruitment. Specifically, the control unit 23 of the information processing device 20 sends a message to the terminal device 10 via the communication unit 21 and the network 40 to recruit residents who hope for the dispatch of the vehicle 30. Here, the destination of this message can be the terminal device 10 of each resident in the area, the terminal device 10 of each resident who uses renewable energy in the residential facility as described above, or the terminal device 10 of each resident whose travel cost is above a threshold. If a specified operation is performed by the resident who responds to the recruitment, the control unit 15 of the terminal device 10 sends information indicating that the resident has responded to the information processing device 20. And the control unit 23 of the information processing device 20 determines each resident who has responded to the recruitment. According to the above structure, the possibility that each resident determined in step S102 goes out using the vehicle 30 is increased.

[0069] In addition, in the above-described embodiment, the information processing apparatus 20 may also determine the freight of the dispatched vehicle 30 based on the first predicted value of the power required for the area. For example, the control unit 23 of the information processing apparatus 20 may be configured such that the larger the first predicted value, the lower the freight of the vehicle 30. When the first predicted value is equal to or greater than a prescribed reference value, the control unit 23 may set the freight of the vehicle 30 to zero. According to the above-described configuration, when the first predicted value is relatively large, it is possible to give residents a strong incentive to go out using the vehicle 30.

[0070] In addition, for example, there may be an embodiment in which a general-purpose computer functions as the information processing apparatus 20 according to the above-described embodiment. Specifically, a program describing the processing content of each function of the information processing apparatus 20 according to the above-described embodiment is stored in the memory of the computer, and the program is read out and executed by the processor of the computer. Therefore, the invention according to the present embodiment can also be implemented as a program executable by a processor or a non-transitory computer-readable medium storing the program.

Claims

1. An information processing method, which is a method executed by an information processing device, wherein, the method includes: obtaining a first predicted value of the power demand in an area including one or more residential facilities; obtaining a second predicted value of the power demand assuming that a vehicle that causes at least a part of the residents in the area to move from the residential facilities is dispatched; and dispatching the vehicle when a first condition that the first predicted value is equal to or greater than a threshold value and a second condition that the second predicted value is less than the first predicted value are satisfied.

2. The information processing method according to claim 1, wherein, at least a part of the residents includes the residents in the area who use exhausted energy sources in the residential facilities.

3. The information processing method according to claim 1, wherein, at least a part of the residents includes the residents in the area whose cost for moving from the residential facilities is equal to or greater than a threshold value.

4. The information processing method according to claim 1, wherein, it further includes determining the driving route of the vehicle based on the locations of the residential facilities of at least a part of the residents.

5. The information processing method according to any one of claims 1 to 4, wherein, the vehicle is a vehicle that causes at least a part of the residents to move from the residential facilities to a specified non-residential facility.

6. An information processing device, which is an information processing device having a control unit, wherein, the control unit is configured to: obtain a first predicted value of the power demand in an area including one or more residential facilities, obtain a second predicted value of the power demand assuming that a vehicle that causes at least a part of the residents in the area to move from the residential facilities is dispatched, and dispatch the vehicle when a first condition that the first predicted value is equal to or greater than a threshold value and a second condition that the second predicted value is less than the first predicted value are satisfied.

7. The information processing device according to claim 6, wherein, at least a part of the residents includes the residents in the area who use exhausted energy sources in the residential facilities.

8. The information processing device according to claim 6, wherein, at least a part of the residents includes the residents in the area whose cost for moving from the residential facilities is equal to or greater than a threshold value.

9. The information processing device according to claim 6, wherein, the control unit determines the driving route of the vehicle based on the locations of the residential facilities of at least a part of the residents.

10. The information processing device according to any one of claims 6 to 9, wherein, the vehicle is a vehicle that causes at least a part of the residents to move from the residential facilities to a specified non-residential facility.

11. A storage medium, wherein, A program is stored that causes the information processing device to perform the following actions, namely: obtain a first predicted value of the power demand in an area including one or more residential facilities; obtain a second predicted value of the power demand assuming that a vehicle that causes at least a part of the residents in the area to move from the residential facilities is dispatched; and When a first condition that the first predicted value is above a threshold value and a second condition that the second predicted value is less than the first predicted value are satisfied, the vehicle is dispatched.

12. The storage medium according to claim 11, wherein, at least a part of the residents includes residents among the residents in the area who use exhausted energy sources in residential facilities.

13. The storage medium according to claim 11, wherein, at least a part of the residents includes residents among the residents in the area whose cost for moving from a residential facility is above a threshold value.

14. The storage medium according to any one of claims 11 to 13, wherein, the program causes the information processing apparatus to further perform an operation of determining a travel route of the vehicle based on positions of residential facilities of at least a part of the residents.

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