JP7431363B1 - Information processing device and information processing method - Google Patents

Abstract

[Problem] To present areas where demand for charging equipment is high. [Solution] An information processing device 1 includes an acquisition unit 131 that acquires position information indicating the position of an electric vehicle when the remaining power of a driving battery installed in the electric vehicle is insufficient; , a calculation unit 133 that calculates the number of the plurality of pieces of position information acquired by the acquisition unit 131; and a calculation unit 133 that calculates the number of pieces of position information acquired by the acquisition unit 131; It has a specifying unit 134 that specifies an installation candidate area that is a candidate area for installing a charging facility for carrying out the process, and an output unit 135 that outputs information indicating the installation candidate area specified by the specifying unit 134. [Selection diagram] Figure 2

Description

The present invention relates to an information processing device and an information processing method.

With the spread of electric vehicles, installation of charging equipment for charging electric vehicles is progressing (see, for example, Patent Document 1).

JP 2021-129475 Publication

When installing new charging equipment, it is required to install it in areas where demand is high, but there is a problem in that it is troublesome for those considering installation to identify areas where demand is high.

Therefore, the present invention has been made in view of these points, and it is an object of the present invention to make it possible to present areas where demand for charging equipment is high.

An information processing device according to a first aspect of the present invention includes: an acquisition unit that acquires position information indicating a position of the electric vehicle when the remaining capacity of a driving battery provided in the electric vehicle is insufficient; a calculation unit that calculates the number of location information acquired by the acquisition unit in each of the areas, and a calculation unit for charging an electric vehicle from among the plurality of areas based on the calculated number of location information. It has a specifying unit that specifies an installation candidate area that is a candidate area for installing a charging facility, and an output unit that outputs information indicating the installation candidate area specified by the specifying unit.

The acquisition unit acquires facility location information indicating the locations of existing charging equipment, and the calculation unit calculates the number of existing charging equipment in each of the plurality of areas based on the facility location information acquired by the acquisition unit. The identification unit may calculate the installation candidate area based on the number of existing charging facilities in each of the plurality of areas.

The identification unit selects one or more areas, among the plurality of areas, where the calculated number of the location information is relatively large and the calculated number of existing charging facilities is relatively small, as the installation candidate. It may be specified as an area.
The acquisition unit may acquire facility location information indicating the location of the existing charging facility including a road on which charging is possible.

The acquisition unit acquires road traffic information indicating road traffic conditions in each of the plurality of areas, and the identification unit determines whether the electric vehicle An area with a relatively high probability of running out of battery power may be identified, and the installation candidate area may be identified based on the identified area.

An information processing method according to a second aspect of the present invention is performed by a computer to obtain position information indicating the position of the electric vehicle when the remaining power of the battery for driving installed in the electric vehicle is insufficient. a step of calculating the number of acquired location information in each of the plurality of areas; and charging equipment for charging an electric vehicle from among the plurality of areas based on the calculated number of the location information. and a step of outputting information indicating the specified installation candidate area.

According to the present invention, it is possible to present an area where demand for charging equipment is high.

FIG. 1 is a diagram illustrating an overview of an information processing device. 1 is a diagram showing a functional configuration of an information processing device. It is a figure showing an example of existing charging facility information. 3 is a flowchart showing the flow of processing related to the information processing device.

[Overview of information processing device 1]
FIG. 1 is a diagram illustrating an overview of the information processing device 1. As shown in FIG. The information processing device 1 is a computer that supports consideration of the installation location of charging equipment for charging an electric vehicle.

For example, the information processing device 1 acquires power shortage information from a plurality of electric vehicles indicating that the remaining power of the battery used for driving the electric vehicle is insufficient ((1 in FIG. 1) ). The power shortage information includes position information indicating the position of the electric vehicle when the amount of power stored in the running battery becomes less than a predetermined percentage of the amount of power stored when fully charged and the electric vehicle becomes out of power. .

The information processing device 1 calculates the number of pieces of power shortage information in each of the plurality of areas based on the position information included in each of the plurality of acquired pieces of power shortage information ((2) in FIG. 1). The information processing device 1 identifies an area with a relatively large number of calculated power shortage information among the plurality of areas as a candidate area for installation of a charging facility for charging an electric vehicle ((in FIG. 1) 3)). The information processing device 1 outputs installation candidate area information indicating the identified installation candidate area to the user terminal 2 used by a user who uses the information processing device 1, who is considering the installation location of the charging equipment. ((4) in Figure 1).

Areas with a relatively large number of power shortage information are assumed to have high demand for charging equipment. Therefore, the information processing device 1 can present to the user areas where demand for charging equipment is high.

[Functional configuration of information processing device 1]
Next, the functional configuration of the information processing device 1 will be explained. FIG. 2 is a diagram showing the functional configuration of the information processing device 1. As shown in FIG. The information processing device 1 includes a communication section 11, a storage section 12, and a control section 13.

The communication unit 11 is a communication interface for transmitting and receiving data to and from an external device via a communication network such as a mobile phone line, the Internet, or a wireless LAN.
The storage unit 12 is a storage medium that stores various data, and includes a ROM (Read Only Memory), a RAM (Random Access Memory), a hard disk, and the like. The storage unit 12 stores programs executed by the control unit 13. The storage unit 12 stores a program that causes the control unit 13 to function as an acquisition unit 131, a reception unit 132, a calculation unit 133, a specification unit 134, and an output unit 135.

The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 functions as an acquisition unit 131, a reception unit 132, a calculation unit 133, a specification unit 134, and an output unit 135 by executing a program stored in the storage unit 12.

The acquisition unit 131 acquires power shortage information from an electric vehicle. Here, the "power shortage information" is information indicating that the battery level of the electric vehicle is insufficient. The power shortage information indicates the position of the electric vehicle when the remaining capacity of the running battery installed in the electric vehicle becomes less than a predetermined percentage of the amount of charge when the running battery is fully charged. Contains vehicle location information.

For example, the acquisition unit 131 acquires power shortage information from each of the plurality of electric vehicles via the communication unit 11. Upon receiving the power shortage information, the acquisition unit 131 causes the storage unit 12 to store vehicle position information included in the received power shortage information as power shortage position information. For example, when the acquisition unit 131 receives the power shortage information, the acquisition unit 131 associates the power shortage position information with the time when the power shortage information is received and stores them in the storage unit 12. Although the acquisition unit 131 acquires power shortage information from each of a plurality of electric vehicles, the acquisition unit 131 is not limited to this, and is not limited to acquiring power shortage information of each of a plurality of electric vehicles stored in an external device managed by a business providing road service. Information may also be obtained.

Note that although the acquisition unit 131 has acquired the power shortage information including the position information of the power-out vehicle, the present invention is not limited thereto. For example, the acquisition unit 131 acquires a power outage information from a road service application installed on a mobile terminal owned by the user of the outage vehicle, which does not include location information but includes a user ID for identifying the user of the outage vehicle. Information may also be obtained. The acquisition unit 131 then acquires the vehicle identification information of the out-of-power vehicle associated with the user ID in advance, accesses the out-of-power vehicle based on the vehicle identification information, and accesses the out-of-power vehicle at the time when the out-of-power vehicle is acquired. The location information of the missing vehicle may also be acquired.

The acquisition unit 131 also acquires facility location information indicating the location of existing charging equipment. For example, the acquisition unit 131 acquires facility location information indicating the location of existing charging equipment from map information, or acquires facility location information from the user terminal 2. Existing charging equipment includes normal charging stations that can charge at normal speeds, quick charging stations that can perform rapid charging, and facilities that are installed at facilities such as stores and can be used for charging. This includes on-site charging stations where electric vehicles can be charged, and charging roads, which are roads where electric vehicles can be charged while driving.

The acquisition unit 131 acquires type information indicating whether the charging equipment is a normal charging station, a quick charging station, an in-facility charging station, or a charging road, along with the facility location information. The acquisition unit 131 acquires information indicating the number of electric vehicles that can be charged at one time in the charging facility. In addition, the acquisition unit 131 acquires usage time information indicating the available usage time of the charging equipment along with the facility location information. The acquisition unit 131 associates the acquired facility location information, type information, number of chargeable devices, and available time, and stores them in the storage unit 12 as existing charging equipment information.

FIG. 3 is a diagram showing an example of existing charging equipment information. As shown in FIG. 3, it can be confirmed that type information indicating the type of charging equipment, the number of chargeable devices, and available time are associated with the facility location information.

The reception unit 132 receives a request to acquire a candidate area for installation of charging equipment from the user terminal 2 . For example, the receiving unit 132 causes the user terminal 2 to receive a designation of a selection area for selecting an installation candidate area, and displays a reception screen for accepting a request to obtain an installation candidate area in the selected area. The receiving unit 132 receives from the user terminal 2 a designation of a selected area, and also receives a request to obtain an installation candidate area. Here, it is assumed that the selection area includes a plurality of areas partitioned into a mesh shape, and an installation candidate area is specified from among the plurality of areas. Note that the reception unit 132 accepts designations of installation candidate areas from among multiple areas divided into mesh shapes, but is not limited to this, and may also accept designations of administrative areas such as prefectures, cities, towns, etc. good.

The calculation unit 133 calculates the number of pieces of power shortage information in each of the plurality of areas based on the position information included in each of the plurality of pieces of power shortage information acquired by the acquisition unit 131. Further, the calculation unit 133 calculates the number of existing charging facilities in each of the plurality of areas based on the facility location information acquired by the acquisition unit 131.

For example, when the reception unit 132 receives the designation of the selection area and the acquisition request for the installation candidate area, the calculation unit 133 refers to the power shortage position information acquired by the acquisition unit 131 and stored in the storage unit 12, The number of pieces of power shortage information in each of a plurality of areas included in the selected area is calculated. Similarly, when the reception unit 132 receives the designation of the selection area and the acquisition request for the installation candidate area, the calculation unit 133 refers to the facility location information acquired by the acquisition unit 131 and stored in the storage unit 12, The number of existing charging facilities in each of multiple areas included in the selected area is calculated.

The specifying unit 134 determines which areas to charge the electric vehicle from among the plurality of areas based on the number of power shortage information calculated for each of the plurality of areas included in the selected area and the number of existing charging facilities. Identify candidate areas for installing charging equipment. For example, the specifying unit 134 specifies one or more areas in which the number of calculated power shortage information is relatively large among the plurality of areas included in the selected area as the charging equipment installation candidate area. Specifically, the identifying unit 134 selects one or more areas among the plurality of areas where the number of calculated power shortage information is relatively large and the calculated number of existing charging facilities is relatively small. is identified as a candidate area for installation of charging equipment.

Here, the specifying unit 134 specifies the installation candidate area based on the number of power shortage information for each time period and the number of available existing charging facilities for each time period in each of the plurality of areas. Good too. In this case, the calculation unit 133 calculates the number of power shortage information for each time period for each of the plurality of areas, and calculates the number of existing charging facilities that can be used for each time period as the number of available facilities. . The identifying unit 134 identifies a time period in which the number of calculated power shortage information is greater than or equal to a predetermined threshold in each of one or more areas where the number of calculated power shortage information is relatively large. The specifying unit 134 specifies one or more areas where the number of available facilities is relatively small in the specified time period as a candidate area for installation of charging facilities. By doing so, an area where there are few existing charging facilities that can be used during a time period when electric vehicles are likely to run out of power can be set as a candidate area for installation.

Further, the identification unit 134 may identify the number of devices in use as the usage status by time zone in the existing charging equipment, or the average charging time in the existing charging equipment. Then, the identification unit 134 determines whether there is a shortage of existing charging equipment or whether the existing charging equipment is not recognized, based on the usage status and average time of the identified existing charging equipment by time zone. Good too. For example, the identification unit 134 determines that the existing charging equipment is insufficient when the number of used devices or the average charging time for each time period exceeds the first threshold, and the identification unit 134 determines that the existing charging equipment is insufficient, and If the threshold value is less than the second threshold value, which is lower than the first threshold value, it is determined that the existing charging equipment is not recognized. Then, in response to determining that there is a shortage of existing charging equipment, the calculation unit 133 may specify an area corresponding to the existing charging equipment as a candidate area for installation of the charging equipment.

Further, the identifying unit 134 may identify the installation candidate area based on failure information in existing charging equipment. In this case, the acquisition unit 131 acquires failure information indicating the failure frequency and cause of failure in the existing charging equipment, and stores it in the storage unit 12 in association with the acquired facility location information. Causes of failures include failures due to wear and tear caused by overuse of equipment, and failures due to human error, such as forgetting to pull out the charging plug and starting the vehicle.

The specifying unit 134 determines whether the one or more areas have a relatively large number of calculated power shortage information based on at least one of the failure frequency and failure cause indicated by the failure information of the existing charging equipment in each of the one or more areas where the number of calculated power shortage information is relatively large. Identify candidate installation areas from among these areas. For example, the identifying unit 134 identifies whether or not the number of times of use is high based on the failure frequency and cause of failure indicated by the failure information of the existing charging equipment, and selects an area where a charging equipment that is used many times is installed as a candidate for installation. It may be specified as an area.

Note that the identifying unit 134 identifies candidate areas for installing charging equipment for charging electric vehicles from among a plurality of areas based on the number of power shortage information and the number of existing charging equipment. However, it is not limited to this. For example, in an area that includes roads that are frequently congested, there is a high probability that electric vehicles will remain in the area due to the traffic congestion and that the electric vehicles will run out of power.

On the other hand, the acquisition unit 131 may acquire road traffic information indicating road traffic conditions in each of a plurality of areas included in the selected area. Then, the identifying unit 134 identifies an area where there is a relatively high probability that the battery level of the electric vehicle will be insufficient based on the road traffic information acquired for each of the plurality of areas, and further identifies the area based on the identified area. A candidate installation area may also be specified. For example, the specifying unit 134 specifies, as the installation candidate area, an area where relatively congestion occurs based on road traffic information among one or more areas where the number of calculated power shortage information is relatively large. By doing so, the information processing device 1 can present to the user an area where there is a high probability that traffic jams will occur and electric vehicles will run out of power as installation candidate areas.

In addition, in areas with a large number of calculated vehicles that are out of power, certain users' electric cars may run out of battery power near their homes, etc., and be counted as vehicles that are out of power. There may be areas where the calculated number of vehicles running out of power is large. On the other hand, the identifying unit 134 may identify the installation candidate area based on the number of power outage information corresponding to different power outage vehicles. In this case, the acquisition unit 131 acquires power shortage information including a vehicle ID for identifying the electric vehicle and vehicle position information (power shortage position information), and uses the acquired vehicle ID and power shortage position information. The information is stored in the storage unit 12 in association with each other.

Based on the vehicle ID, the calculation unit 133 calculates the number of power outage information in each of the plurality of areas, using a plurality of power outage position information corresponding to the same power outage vehicle within the area as one power outage position information. . The identification unit 134 identifies an installation candidate area from among the plurality of areas based on the number of power shortage information in each of the plurality of areas, which is calculated by eliminating duplication of power outages due to the same power outage vehicle. Good too. By doing so, the information processing device 1 can prevent an area where the number of vehicles running out of power increases due to a power outage of a specific user from being specified as an installation candidate area.

Furthermore, since it takes time to charge the battery for driving an electric vehicle, there is a problem in that the driver of the electric vehicle gets bored while charging. On the other hand, the acquisition unit 131 may acquire facility information of the store. Generally, charging an electric vehicle once is often completed in about 30 minutes, so the acquisition unit 131 acquires facility information indicating a type of store suitable for short-term use, such as a coffee shop or restaurant. You may.

Then, the identifying unit 134 identifies an area where the number of stores, etc. indicated by the acquired facility information is relatively large, as an installation candidate area, among areas where there is a relatively high probability that the electric vehicle will run out of battery power. Good too. By doing this, when a new charging facility is installed in the installation candidate area, electric vehicle drivers can use the store to relieve boredom while charging. Therefore, the information processing device 1 can present to the user an area where the demand is higher than an area where there are fewer stores etc. as an installation candidate area.

In addition, as mentioned above, there are various types of charging equipment, so even if you are in an area where existing charging equipment is installed, if you are installing a charging equipment of a different type than the existing charging equipment, Demand may be expected. On the other hand, when receiving a request to acquire an installation candidate area from the user terminal 2, the receiving unit 132 may also receive the type of charging equipment to be considered for installation.

In this case, the calculation unit 133 may calculate the number of existing charging equipment in each of the plurality of areas for each type of charging equipment. The identifying unit 134 determines that among the plurality of areas, the number of calculated power shortage information is relatively large, and the number of existing charging facilities corresponding to the type accepted by the receiving unit 132 is relatively small. One or more areas may be identified as candidate areas for installation of charging equipment. By doing so, the information processing device 1 can present to the user an area suitable as an installation location for the type of charging equipment accepted by the reception unit 132.

Furthermore, even if there are many charging facilities in an area, these charging facilities may be small-scale and the number of devices that can be charged may be limited. Therefore, demand may be expected even in areas where many existing charging facilities are installed. On the other hand, the calculation unit 133 may calculate the total number of chargeable devices of one or more existing charging facilities in each of the plurality of areas. Then, the identifying unit 134 selects one or more areas, among the plurality of areas, where the number of calculated power shortage information is relatively large and the number of chargeable devices is relatively small, as candidate areas for installation of charging equipment. May be specified. By doing so, the information processing device 1 can present to the user an area where a relatively large number of charging facilities are installed but where the number of chargeable devices is limited as an installation candidate area.

The output unit 135 outputs information indicating the installation candidate area specified by the specifying unit 134. For example, the output unit 135 transmits to the user terminal 2 a screen that includes a map showing the selected area and information indicating that the installation candidate area identified by the specifying unit 134 is an installation candidate area. Then, the screen is displayed on the user terminal 2.

Here, when displaying information indicating an installation candidate area on the user terminal 2, the output unit 135 may display information regarding the area. For example, the output unit 135 may include information on electric power companies that provide power to existing charging facilities in the installation candidate area, the type of the charging facility (quick charging or normal charging), and usage charges when using the charging facility, Information indicating the payment method may also be displayed. By doing so, the user of the user terminal 2 can consider the usage fee and payment method when installing a charging facility in the installation candidate area, and how to operate the charging facility when it is installed.

[Operation flow]
Next, the flow of processing related to the information processing device 1 will be explained. FIG. 4 is a flowchart showing the flow of processing related to the information processing device 1.

First, the acquisition unit 131 acquires facility location information indicating the location of existing charging equipment, and acquires power shortage information from each of a plurality of electric vehicles over a predetermined period (S1). The acquisition unit 131 causes the storage unit 12 to store the acquired facility location information and the location information included in the electricity shortage information.

Subsequently, the reception unit 132 receives from the user terminal 2 a designation of a selection area for selecting an installation candidate area (S2), and also receives a request to acquire an installation candidate area (S3).
Subsequently, the calculation unit 133 calculates the number of power shortage information and the number of existing charging equipment in each of the plurality of areas included in the selected area (S4).

Next, the identifying unit 134 identifies one or more areas where the calculated number of power shortage information is relatively large and the calculated number of existing charging facilities is relatively small as installation candidate areas ( S5).
Subsequently, the output unit 135 outputs installation candidate area information indicating the identified installation candidate area (S6).

[Modification 1]
In the embodiment described above, the calculation unit 133 calculates the number of power shortage information in each of the plurality of areas based on the position information included in each of the plurality of power shortage information acquired by the acquisition unit 131. Although the number of charging facilities in each of a plurality of areas has been calculated based on the plurality of facility location information acquired by the above, the present invention is not limited to this.

For example, the acquisition unit 131 may acquire information indicating the number of power shortage information in each of the plurality of areas and information indicating the number of charging equipment in each of the plurality of areas. Then, the identification unit 134 determines the number of power shortage information based on the information indicating the number of power shortage information in each of the plurality of areas and the information indicating the number of charging equipment in each of the plurality of areas, acquired by the acquisition unit. One or more areas where the number of existing charging facilities is relatively large and the number of existing charging facilities is relatively small may be specified as the installation candidate area.

[Modification 2]
Further, although the calculation unit 133 calculates the number of power shortage information in each of the plurality of areas based on the position information included in each of the plurality of power shortage information acquired by the acquisition unit 131, the calculation unit 133 is not limited to this. The calculation unit 133 may calculate the number of pieces of position information acquired by the acquisition unit 131 in each of the plurality of areas. The identifying unit 134 may then identify an installation candidate area from among the plurality of areas based on the number of calculated location information.

[Effects of information processing device 1]
As described above, the information processing device 1 according to the present embodiment generates position information indicating the position of the electric vehicle when the remaining capacity of the battery provided for driving the electric vehicle becomes less than a predetermined percentage. The number of power shortage information in each of the plurality of areas is acquired based on the location information included in each of the plurality of acquired power shortage information. out of the multiple areas, one or more areas with a relatively large number of calculated power shortage information are identified as candidate areas for installation of charging equipment for charging electric vehicles. Outputs information indicating installation candidate areas. By doing so, the information processing device 1 can present areas where demand for charging equipment is high.

Furthermore, the present invention makes it possible to contribute to Goal 9 of the Sustainable Development Goals (SDGs) led by the United Nations, "Create a foundation for industry and technological innovation."

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes can be made within the scope of the gist. be. For example, all or part of the device can be functionally or physically distributed and integrated into arbitrary units. In addition, new embodiments created by arbitrary combinations of multiple embodiments are also included in the embodiments of the present invention. The effects of the new embodiment resulting from the combination have the effects of the original embodiment.

1 Information processing device 11 Communication unit 12 Storage unit 13 Control unit 131 Acquisition unit 132 Reception unit 133 Calculation unit 134 Specification unit 135 Output unit 2 User terminal

Claims (7)

Location information indicating the location of the electric vehicle when the remaining power of the driving battery installed in the electric vehicle is insufficient , and facility location information indicating the location of existing charging equipment for charging the electric vehicle. and an acquisition unit that acquires type information indicating the type of the existing charging equipment ;
A reception department that accepts the type of charging equipment for charging electric vehicles;
The number of location information acquired by the acquisition unit in each of the plurality of areas is calculated , and the reception unit in each of the plurality of areas receives information based on the facility location information and type information acquired by the acquisition unit. a calculation unit that calculates the number of existing charging facilities corresponding to the type of charging equipment ;
Among the plurality of areas, one or more areas in which the number of calculated positional information is relatively large and the number of existing charging facilities corresponding to the type accepted by the reception unit is relatively small are selected as the charging area. a specific part that identifies an installation candidate area that is a candidate area for installing equipment;
an output unit that outputs information indicating the installation candidate area identified by the identification unit;
An information processing device having: an acquisition unit that acquires position information indicating the position of the electric vehicle when the remaining capacity of a driving battery installed in the electric vehicle is insufficient ; and road traffic information indicating the road traffic conditions in each of a plurality of areas; and,
a calculation unit that calculates the number of location information acquired by the acquisition unit in each of the plurality of areas;
Based on the road traffic information acquired for each of the plurality of areas, an area where the electric vehicle has a relatively high probability of running out of battery power is identified, and the identified area and the calculated position information are identified. an identification unit that identifies an installation candidate area, which is a candidate area for installing a charging facility for charging an electric vehicle, from among the plurality of areas based on the number of;
an output unit that outputs information indicating the installation candidate area identified by the identification unit;
An information processing device having: The acquisition unit acquires facility location information indicating the location of existing charging equipment,
The calculation unit calculates the number of existing charging facilities in each of the plurality of areas based on the facility location information acquired by the acquisition unit,
The identification unit identifies the installation candidate area based on the number of existing charging facilities in each of the plurality of areas.
The information processing device according to claim 2 . The identification unit selects one or more areas, among the plurality of areas, where the calculated number of the location information is relatively large and the calculated number of existing charging facilities is relatively small, as the installation candidate. Specify as an area,
The information processing device according to claim 3 . The acquisition unit acquires facility location information indicating a location of the existing charging facility including a road where traveling and charging is possible.
The information processing device according to claim 3 . computer executes
Location information indicating the location of the electric vehicle when the remaining power of the driving battery installed in the electric vehicle is insufficient , and facility location information indicating the location of existing charging equipment for charging the electric vehicle. and type information indicating the type of the existing charging equipment ;
a step of accepting the type of charging equipment for charging the electric vehicle;
Calculate the number of acquired location information in each of the plurality of areas , and calculate the number of existing charging facilities corresponding to the accepted type in each of the plurality of areas based on the acquired facility location information and type information. a step of calculating ;
Among the plurality of areas, one or more areas in which the number of calculated location information is relatively large and the number of existing charging facilities corresponding to the received type is relatively small are candidates for installing the charging facility. a step of identifying an area as an installation candidate area;
outputting information indicating the identified installation candidate area;
An information processing method having computer executes
acquiring positional information indicating the position of the electric vehicle when the remaining power of the battery for driving installed in the electric vehicle is insufficient , and road traffic information indicating the road traffic conditions in each of the plurality of areas; ,
calculating the number of acquired location information in each of the plurality of areas;
Based on the road traffic information acquired for each of the plurality of areas, an area where the electric vehicle has a relatively high probability of running out of battery power is identified, and the identified area and the calculated location information are identified. identifying an installation candidate area, which is a candidate area for installing a charging facility for charging an electric vehicle, from among the plurality of areas based on the number;
outputting information indicating the identified installation candidate area;
An information processing method having

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