Information processing device, information processing method, and program

Abstract

An information processing device (10) comprises an acquisition unit (110) and a calculation unit (120). The acquisition unit (110) acquires route information and load information. The route information indicates a delivery route including one or more points where an electric vehicle (20) for delivering a cargo will stop. In addition, the load information includes information relating to the cargo to be loaded onto the electric vehicle (20) or to be unloaded from the electric vehicle (20) at each point. The calculation unit (120) uses the route information and the load information to calculate the expected power consumption amount for when the electric vehicle (20) travels in accordance with the delivery route.

Description

Information processing device, information processing method, and non-transitory computer-readable recording medium

[0001] The present invention relates to an information processing device, an information processing method, and a non-transitory computer-readable recording medium.

[0002] An example of a technology for estimating energy consumption when a vehicle travels to a destination is disclosed in, for example, Patent Document 1 listed below. Patent Document 1 discloses a technology for estimating energy consumption when a vehicle is traveling, which includes the following steps (1) to (3): (1) acquiring route identification information that identifies a route to the destination; (2) reading, from a predetermined storage unit, information (route-specific speed information) that indicates the position dependency of the vehicle's traveling speed on the route indicated by the route identification information; and (3) using the read route-specific speed information, calculating an estimate of carbon dioxide emissions or energy consumption when the vehicle travels the route indicated by the route identification information.

[0003] JP 2012-202773 A

[0004] In the technology of Patent Document 1, the amount of energy consumed when a vehicle travels a certain route is calculated taking into account the "traveling speed of the vehicle." However, factors that determine the amount of energy consumed when a vehicle travels may exist other than the "traveling speed of the vehicle." In this respect, it can be said that the technology of Patent Document 1 has room for improvement in terms of the accuracy of estimating the amount of energy consumed when a vehicle travels to a certain destination.

[0005] In view of the above-mentioned problems, one example of an object of the present invention is to provide an information processing device, an information processing method, and a non-transitory computer-readable recording medium for improving the accuracy of estimating the amount of energy consumed when a vehicle travels to a destination.

[0006] According to one aspect of the present invention, there is provided an information processing device comprising: an acquisition means for acquiring route information indicating a delivery route including one or more points at which an electric vehicle delivering cargo will stop, and cargo information regarding cargo to be loaded onto or unloaded from the electric vehicle at each point; and a calculation means for calculating an expected amount of power consumption when the electric vehicle travels along the delivery route using the route information and the cargo information.

[0007] According to one aspect of the present invention, there is provided an information processing method including: at least one computer acquiring route information indicating a delivery route including one or more points at which an electric vehicle delivering cargo will stop, and cargo information regarding cargo to be loaded onto or unloaded from the electric vehicle at each point; and using the route information and the cargo information, calculating an expected amount of power consumption when the electric vehicle travels along the delivery route.

[0008] According to one aspect of the present invention, there is provided a non-transitory computer-readable recording medium having recorded thereon a program that, when executed by at least one computer, causes the at least one computer to function as: an acquisition means that acquires route information indicating a delivery route including one or more points at which an electric vehicle delivering cargo will stop, and cargo information regarding cargo to be loaded onto or unloaded from the electric vehicle at each point; and a calculation means that uses the route information and the cargo information to calculate an expected amount of power consumption when the electric vehicle travels along the delivery route.

[0009] According to one aspect of the present invention, the accuracy of estimating the amount of energy consumed when a vehicle travels to a destination is improved.

[0010] FIG. 1 is a diagram illustrating an overview of an information processing device according to a first embodiment; FIG. 2 is a diagram illustrating an example of a hardware configuration of a computer that realizes an information processing device according to the present disclosure; FIG. 3 is a flowchart illustrating an overview of the operation of an information processing device according to a first embodiment; FIG. 4 is a flowchart illustrating a processing flow executed by an information processing device according to a second embodiment; FIG. 5 is a diagram illustrating an example of cargo information; FIG. 6 is a flowchart illustrating a processing flow executed by an information processing device according to a modified example of the second embodiment; FIG. 7 is a diagram illustrating a functional configuration of an information processing device according to a third embodiment; and FIG. 8 is a flowchart illustrating a processing flow executed by an information processing device according to the third embodiment.

[0011] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all drawings, similar components are designated by similar reference numerals, and descriptions thereof will be omitted where appropriate. Furthermore, unless otherwise specified, each block in each block diagram represents a functional configuration, not a hardware configuration. Furthermore, when elements such as blocks in a diagram are linked by arrows, the direction of the arrows is merely intended to make the flow of information easier to understand. In this case, the direction of the arrows does not limit the direction of communication (one-way communication / two-way communication) unless otherwise specified.

[0012] In the following description, "acquisition" includes at least one of the following: a device going to retrieve data or information stored in another device or storage medium (active acquisition), and a device inputting data or information output from another device (passive acquisition). Examples of active acquisition include making a request or inquiry to another device and receiving a reply, and accessing and reading information from another device or storage medium. Examples of passive acquisition include receiving information that is distributed (or transmitted, push notification, etc.). Furthermore, "acquisition" may also mean selecting and acquiring data or information from received data or information, or selecting and receiving distributed data or information.

[0013] 1 is a diagram showing an overview of an information processing apparatus 10 according to a first embodiment. In this diagram, the information processing apparatus 10 includes an acquisition unit 110 and a calculation unit 120.

[0014] The acquisition unit 110 acquires information about a vehicle 20 (hereinafter also referred to as "electric vehicle 20") that is powered partially or entirely by electricity, such as an electric vehicle (EV) or a plug-in hybrid electric vehicle (PHEV). Here, the electric vehicle 20 is used to deliver packages. The information acquired by the acquisition unit 110 includes route information and cargo information about the electric vehicle 20. The route information includes information indicating a delivery route that includes one or more points where the electric vehicle 20 stops. Furthermore, the cargo information includes information about cargo to be loaded onto or unloaded from the electric vehicle 20 at each point.

[0015] The calculation unit 120 calculates the amount of power consumption (hereinafter also referred to as "estimated power consumption") that will occur when the electric vehicle 20 travels along the delivery route indicated by the route information, based on the route information and cargo information acquired by the acquisition unit 110. The calculation unit 120 can provide, for example, information related to the calculated estimated power consumption to the electric vehicle 20.

[0016] FIG. 2 is a diagram illustrating an example of the hardware configuration of a computer 1000 that realizes the information processing device 10 according to the present disclosure.

[0017] The computer 1000 has a bus 1010 , a processor 1020 , a memory 1030 , a storage device 1040 , an input / output interface 1050 , and a network interface 1060 .

[0018] The bus 1010 is a data transmission path for transmitting and receiving data among the processor 1020, memory 1030, storage device 1040, input / output interface 1050, and network interface 1060. However, the method of connecting the processor 1020 and the like to each other is not limited to bus connection.

[0019] The processor 1020 is a central processing unit (CPU) or a graphics processing unit (GPU).

[0020] The memory 1030 is a main storage device realized by a random access memory (RAM) or the like.

[0021] The storage device 1040 is an auxiliary storage device realized by a hard disk drive (HDD), a solid state drive (SSD), a memory card, a read only memory (ROM), etc. The storage device 1040 stores at least a program module corresponding to the function of the acquisition unit 110 and a program module corresponding to the function of the calculation unit 120.

[0022] The processor 1020 loads a program module read from the storage device 1040 onto the memory 1030 and executes the program module, thereby realizing a function corresponding to the program module. For example, the processor 1020 reads a program module corresponding to the acquisition unit 110 onto the memory 1030 and executes the program module, thereby realizing the function of the acquisition unit 110 described in the present disclosure. Similarly, the processor 1020 reads a program module corresponding to the calculation unit 120 onto the memory 1030 and executes the program module, thereby realizing the function of the calculation unit 120 described in the present disclosure. The operation of the processor 1020 is common to each embodiment included in the present disclosure.

[0023] The above-described program modules may be recorded on a recording medium other than the storage device 1040. The recording medium on which the program modules are recorded includes any non-transitory, tangible medium usable by the computer 1000. The recording medium on which the program modules are recorded may have embedded therein program code that is readable by the computer 1000 (processor 1020).

[0024] The input / output interface 1050 is an interface for connecting the computer 1000 to various input / output devices.

[0025] The network interface 1060 is an interface for connecting the computer 1000 to a network. This network includes, for example, a local area network (LAN), a wide area network (WAN), and a controller area network (CAN) of the electric vehicle 20. The network interface 1060 connects the computer 1000 (information processing device 10) to various networks wirelessly or via a wired connection.

[0026] Furthermore, the computer 1000 can be connected to necessary devices via the input / output interface 1050 or the network interface 1060. The "necessary devices" referred to here are not particularly limited, but include, for example, input devices such as operation buttons, a keyboard, a touch panel, and a mouse, and output devices such as a display, a camera, a speaker, a microphone, and a printer.

[0027] FIG. 3 is a flowchart illustrating an outline of the operation of the information processing device 10 according to the first embodiment.

[0028] First, the acquisition unit 110 acquires route information and cargo information related to the electric vehicle 20 (S102). The acquisition unit 110 can generate route information for the electric vehicle 20 by acquiring data on the departure point and destination. Alternatively, the acquisition unit 110 can acquire route information by inputting the acquired data on the departure point and destination into another navigation system (not shown). The acquisition unit 110 can also acquire cargo information associated with the electric vehicle 20 by communicating with a mobile terminal (not shown) carried by the person driving the electric vehicle 20 or a server device (not shown) of a delivery company that manages the electric vehicle 20. Then, the calculation unit 120 calculates the predicted power consumption of the electric vehicle 20 using the route information and cargo information acquired by the acquisition unit 110 (S104).

[0029] In this way, the information processing device 10 of this embodiment further uses information related to the cargo loaded on the electric vehicle 20, i.e., "cargo information," to calculate the amount of power consumption when the electric vehicle 20 travels a certain route. As will be described in detail later, the cargo information can be said to provide information on further factors that may affect the amount of energy consumed by the electric vehicle 20, such as the predicted usage of electric equipment provided on the electric vehicle 20 and the total weight of the electric vehicle 20. In other words, according to this embodiment, an information processing device, an information processing method, and a non-transitory computer-readable recording medium are provided for improving the accuracy of estimating the amount of energy consumed when the vehicle travels to a destination.

[0030] Hereinafter, a detailed example of the information processing device 10 in another embodiment will be described.

[0031] Second Embodiment This embodiment is similar to the first embodiment except for the points described below.

[0032] The information processing device 10 according to this embodiment has the same functional configuration (e.g., FIG. 1 ) as the information processing device 10 described in the first embodiment. The calculation unit 120 according to this embodiment calculates the number of times the electric vehicle 20 uses the electrically powered equipment at each location, based on the cargo information acquired by the acquisition unit 110. Here, the "electrically powered equipment" is not particularly limited, but may be, for example, an elevator or a crane used when loading or unloading cargo into or from a container on the electric vehicle 20. Then, the calculation unit 120 calculates the amount of power consumed when loading or unloading cargo (hereinafter also referred to as "first power consumption") based on the calculated number of times the electrically powered equipment is used. The processing flow according to this embodiment will be described below using a specific example.

[0033] FIG. 4 is a flowchart illustrating the flow of processing executed by the information processing device 10 according to the second embodiment.

[0034] First, the acquisition unit 110 acquires route information and cargo information related to the electric vehicle 20 (S202). This process is similar to S102 in FIG.

[0035] Then, the calculation unit 120 calculates the number of times that the electric vehicle 20 uses the electric equipment at each point based on the cargo information acquired by the acquisition unit 110 (S204). Hereinafter, a specific example of the operation of the calculation unit 120 will be described with reference to FIG.

[0036] Fig. 5 is a diagram showing an example of cargo information. The cargo information shown in Fig. 5 includes information (unloading work information) regarding loading and unloading work scheduled at each of points A, B, and C. According to the cargo information shown in Fig. 5, the following information (1) to (3) regarding the unloading of cargo can be obtained: (1) Loading 200 kg of cargo at point A. (2) Unloading 100 kg of cargo and loading 400 kg of cargo at point B. (3) Unloading 500 kg of cargo at point C.

[0037] Assume here that the electric vehicle 20 is equipped with an elevator with a load capacity of 200 kg. In this case, information indicating that the load capacity of the electric equipment (elevator) equipped in the electric vehicle 20 is "200 kg" is stored in advance in a storage area (e.g., storage device 1040, etc.) accessible by the calculation unit 120. For example, the information processing device 10 can access in advance a server (not shown) of a delivery company that manages the electric vehicle 20, obtain information about the electric equipment equipped in the electric vehicle 20, and store the information in a storage area such as the storage device 1040. Using the information indicating that the load capacity of the elevator of the electric vehicle 20 is "200 kg," the calculation unit 120 can calculate the number of times the elevator has been used at point A to be "1 time." Similarly, the calculation unit 120 can calculate the number of times the elevator has been used at point B to be "3 times." Similarly, the calculation unit 120 can calculate the number of times the elevator has been used at point C to be "3 times."

[0038] Returning to Figure 4, the explanation will be continued. After calculating the number of times the electrically powered equipment (elevator) of electric vehicle 20 has been used, calculation unit 120 calculates a first amount of power consumption based on the number of times the electrically powered equipment (elevator) has been used (S206). Calculation unit 120 can acquire information indicating the amount of power consumption per use of the electrically powered equipment (elevator) from information about the electrically powered equipment (elevator) pre-stored in storage device 1040. Calculation unit 120 can calculate the first amount of power consumption by multiplying the acquired amount of power consumption per use by the calculated number of times the electrically powered equipment (elevator) has been used.

[0039] The calculation unit 120 then calculates the expected power consumption by adding together the amount of power consumed by traveling the delivery route indicated by the route information and the amount of power consumed by the electrically powered equipment calculated in S206 (first power consumption) (S208). The calculation unit 120 can calculate the amount of power consumed by traveling the delivery route, for example, by using the travel distance of the delivery route indicated by the route information and information on the power consumption per unit distance for the electric vehicle 20. As a specific example, assume that the total travel distance of the delivery route is 1,000 km and the power consumption per unit distance (e.g., 1 km) of the electric vehicle 20 is 150 Wh (Watt-hour). In this case, the calculation unit 120 can calculate the amount of power consumed by traveling the delivery route to be 150 kWh. The calculation unit 120 may also use other parameters when calculating the amount of power consumed by traveling the delivery route. For example, the amount of power consumption may be predicted taking into consideration the acceleration resistance value, air resistance value, gradient resistance value, and rolling resistance value of the electric vehicle 20. Furthermore, the calculation unit 120 may use additional information described in another embodiment when calculating the amount of power consumed by traveling the delivery route.

[0040] As described above, according to this embodiment, first, the number of times that the electric equipment (elevators, etc.) of the electric vehicle 20 is used at each point along the delivery route is calculated based on the cargo information of the electric vehicle 20. Then, the amount of power consumed when loading and unloading luggage (first power consumption) is calculated based on the number of times that the electric equipment is used. In this way, this embodiment calculates power consumption other than that consumed when traveling along the delivery route, specifically, the amount of power consumed by the electric equipment when loading and unloading luggage (first power consumption). With this configuration, the amount of power consumed when the electric vehicle 20 delivering luggage travels along a certain delivery route can be estimated with higher accuracy.

[0041] Modification of Second Embodiment Instead of or in addition to the second embodiment described above, the calculation unit 120 may operate as described below. Fig. 6 is a flowchart illustrating the flow of processing executed by the information processing device 10 according to the modification of the second embodiment.

[0042] First, the acquisition unit 110 acquires route information and cargo information related to the electric vehicle 20 (S302). This process is similar to S102 in Fig. 3 and S202 in Fig. 4.

[0043] The calculation unit 120 of this modification then identifies multiple sections that make up the delivery route based on the location information in the cargo information (S304). For example, assume that the acquisition unit 110 acquires the cargo information illustrated in FIG. 5 . In this case, the calculation unit 120 determines, based on the acquired cargo information, that the delivery route is composed of a first section from point A (start point) to point B (waypoint) and a second section from point B (waypoint) to point C (destination). The calculation unit 120 then calculates the total weight of the packages for each section separated by the locations. For example, based on the cargo information illustrated in FIG. 5 , the calculation unit 120 can calculate the total weight of the packages in the first section to be "200 kg." Similarly, based on the cargo information illustrated in FIG. 5 , the calculation unit 120 can calculate the total weight of the packages in the second section to be "500 kg."

[0044] The calculation unit 120 then calculates the amount of power consumed when the electric vehicle 20 travels along the delivery route (hereinafter also referred to as the "second power consumption amount") using the route information acquired by the acquisition unit 110 and the total weight of the packages calculated for each section (S306). For example, the calculation unit 120 can calculate the second power consumption amount as follows: First, the calculation unit 120 identifies the travel distance for each section based on the route information. Then, the calculation unit 120 calculates the power consumption amount for each section by multiplying the power consumption amount estimated from the travel distance for each section by a coefficient corresponding to the total weight of the packages for each section. Here, the "coefficient" is defined in advance using a table, a function, or the like so that it increases in proportion to the total weight of the packages. In other words, when the calculation unit 120 uses the cargo information exemplified in FIG. 5, the first coefficient corresponding to a total weight of packages in the first section of "200 kg" is smaller than the second coefficient corresponding to a total weight of packages in the second section of "500 kg." Then, the calculation unit 120 calculates the second power consumption amount by adding up the power consumption amounts for each section.

[0045] As described above, in this modification, first, the total weight of cargo in each section of the delivery route is calculated based on the cargo information of the electric vehicle 20. Then, the total weight for each section is used to calculate the amount of power consumed by the electric vehicle 20 traveling along the delivery route indicated by the route information (second amount of power consumption). In this way, in this modification, when calculating the amount of power consumed while traveling along the delivery route, changes in vehicle weight due to the amount of cargo carried are taken into account. This makes it possible to more accurately estimate the amount of power consumed when the electric vehicle 20 travels along a certain delivery route.

[0046] Furthermore, by combining the configuration of the second embodiment described above with the configuration of this modification, it is possible to further improve the accuracy of estimating the amount of power consumption when the electric vehicle 20 travels along a certain delivery route.

[0047] The information processing device 10 may also be configured to output information based on the estimated power consumption to a user (e.g., a person driving the electric vehicle 20). For example, the information processing device 10 may display a screen on a navigation device provided in the electric vehicle 20 or on a terminal used by the user, the screen including the estimated power consumption when the electric vehicle 20 travels a certain delivery route. The information processing device 10 may also be configured to acquire the remaining battery charge of the electric vehicle 20 via a CAN or the like of the electric vehicle 20 and display information indicating the difference between the remaining battery charge and the estimated power consumption. In the latter case, the output information may include, for example, information indicating the predicted remaining battery charge after completing the delivery route and information indicating whether the delivery route can be completed with the current remaining battery charge. Such information helps the person driving the electric vehicle 20 to appropriately plan the delivery route.

[0048] Third Embodiment This embodiment is similar to either the first or second embodiment except for the points described below.

[0049] Fig. 7 is a diagram illustrating an example of the functional configuration of an information processing device 10 according to the third embodiment. In the information processing device 10 illustrated in Fig. 7, the acquisition unit 110 further includes an additional information acquisition unit 112. The additional information acquisition unit 112 acquires additional information to be used when calculating the expected amount of power consumption when the electric vehicle 20 travels along the delivery route indicated by the route information.

[0050] FIG. 8 is a flowchart illustrating the flow of processing executed by the information processing device 10 according to the third embodiment.

[0051] First, the acquisition unit 110 acquires route information and cargo information related to the electric vehicle 20 (S402). This process is similar to S102 in FIG. 3, S202 in FIG. 4, and S302 in FIG. 6. In this embodiment, in addition to the route information and cargo information, the additional information acquisition unit 112 of the acquisition unit 110 acquires additional information (S404). Then, the calculation unit 120 performs processing using the additional information as described below in addition to the processing described in the first and second embodiments to calculate the amount of power consumed by the electric vehicle 20 traveling along the delivery route indicated by the route information (second power consumption amount) (S406). Below, several specific examples of the operation of the information processing device 10 of this embodiment will be given.

[0052] As an example, the additional information acquisition unit 112 further acquires individual information of the electric vehicle 20 as additional information. The individual information of the electric vehicle 20 includes, for example, the model and name of the electric vehicle 20. However, the type of individual information of the electric vehicle 20 is not important as long as it is information that allows the specifications of the electric vehicle 20 (for example, the distance that can be traveled per unit distance) to be ascertained. The calculation unit 120 further uses the specification information of the electric vehicle 20 obtained from the individual information of the electric vehicle 20 to calculate the amount of power consumption (second amount of power consumption) consumed by the electric vehicle 20 traveling along the delivery route indicated by the route information. This is expected to have the effect of improving the accuracy of estimating the amount of power consumption when the electric vehicle 20 travels along a certain delivery route.

[0053] As another example, the additional information acquisition unit 112 further acquires attribute information indicating attributes of the luggage as additional information. Here, any attribute that may affect the traveling of the electric vehicle 20 is used as the luggage attribute. Specific examples of "attributes that may affect the traveling of the electric vehicle 20" include attributes such as "precision equipment" and "fragile items." Since luggage with these attributes requires delicate handling, there is a high possibility that the person controlling the operation of the electric vehicle 20 will operate the accelerator and brake more slowly than usual. In other words, it can be said that there is a high possibility that the person driving the electric vehicle 20 will operate the electric vehicle 20 in a way that reduces power consumption.

[0054] Therefore, when the additional information acquisition unit 112 acquires attribute information indicating a specific package attribute, such as "precision machinery" or "fragile," the calculation unit 120 performs a calculation to reduce the second amount of power consumption. While not particularly limited, the calculation unit 120 operates, for example, as follows: First, a predetermined coefficient (a real number greater than or equal to 0 and less than 1) is defined in advance in a program module of the calculation unit 120 in association with a package attribute, such as "precision machinery" or "fragile." This coefficient can be calculated, for example, based on performance data when one or more electric vehicles 20 actually deliver packages having a specific attribute. When the calculation unit 120 acquires package attributes associated with the defined coefficient, it reads out the coefficient. Then, the calculation unit 120 can calculate the second amount of power consumption with higher accuracy by multiplying the power consumption calculated based on the route information (the amount of power consumed by the driving operation of the electric vehicle 20) by the coefficient.

[0055] As another example, the additional information acquisition unit 112 further acquires information related to the temperature during driving (hereinafter also referred to as "temperature information") as additional information. The temperature information may be, for example, information indicating the season, date, time, or time zone when the delivery route is driven, or information provided by another system indicating the predicted temperature during the time zone when the delivery route is driven. An increase in power consumption of the air conditioning equipment of the electric vehicle 20 is predicted depending on the temperature. Therefore, the calculation unit 120 predicts the power consumption used by the air conditioning equipment while the electric vehicle 20 is driving based on the temperature information and adds the predicted power consumption to the second power consumption. Information indicating the relationship between the temperature and the power consumption of the air conditioning equipment can be created, for example, based on data collected when the electric vehicle 20 actually drives. This is expected to have the effect of improving the accuracy of estimating the power consumption when the electric vehicle 20 travels a certain delivery route.

[0056] As another example, the additional information acquisition unit 112 acquires driving history information of a delivery route as additional information. In this example, it is assumed that information indicating the route actually traveled by a given electric vehicle 20 when delivering a package and data collected using various sensors of the electric vehicle 20 during the travel are associated and stored in advance in a database (not shown). In this case, based on the information stored in the database, information indicating at least one of the driving speed or acceleration (e.g., the average or median value of the speed or acceleration) is generated for each route or for each section constituting the route. The information generated in this manner is associated with information identifying the route or section and stored in a database (not shown). Based on the route information acquired in S402, the additional information acquisition unit 112 can acquire driving history information related to the corresponding route or section from a database (not shown).

[0057] The calculation unit 120 then calculates the second amount of power consumption by further using at least one of the traveling speed and acceleration for each route or section indicated by the acquired traveling performance information. The calculation unit 120 can calculate the amount of power consumption that is in line with the actual traveling performance, based on the specifications of the electric vehicle 20 and at least one of the traveling speed and acceleration for each route or section.

[0058] As another example, the additional information acquisition unit 112 acquires, as additional information, information indicating the classification of roads included in the delivery route indicated by the route information (hereinafter also referred to as "road classification information"). Examples of road classifications include streets, general roads, expressways, and motorways. It can be said that the classification of the road affects the average traveling speed and acceleration of the electric vehicle 20, i.e., the amount of power consumed by the electric vehicle 20 while traveling. Therefore, the calculation unit 120 calculates the second amount of power consumption by multiplying the amount of power consumption calculated for each classification by a coefficient corresponding to the classification of the road included in the delivery route. This is expected to have the effect of improving the accuracy of estimating the amount of power consumed when the electric vehicle 20 travels a certain delivery route.

[0059] The additional information acquisition unit 112 may acquire multiple types of specific additional information exemplified here. In this case, the calculation unit 120 performs processing based on the multiple types of additional information acquired by the additional information acquisition unit 112 to calculate the second power consumption amount.

[0060] Although the embodiments of the present invention have been described above with reference to the drawings, these are merely illustrative examples of the present invention, and various other configurations may be employed. For example, when calculating the second power consumption amount in the third embodiment, a model constructed by machine learning may be used. Training data used for the model's machine learning can be created based on actual driving data. For example, training data can be generated that pairs the power consumption amount with individual information about the electric vehicle 20, attribute information about the luggage, temperature information during driving, changes in speed or acceleration during driving, and information indicating the road classification traveled. By training the model using such training data, a model can be constructed that estimates the power consumption amount consumed by the electric vehicle 20 while driving, using inputs such as individual information about the electric vehicle 20 and attribute information about the luggage.

[0061] In addition, although the flowcharts used in the above description show multiple steps (processes) in a sequential order, the order of steps executed in each embodiment is not limited to the order shown. In each embodiment, the order of the steps shown in the drawings can be changed as long as it does not cause any problems in terms of content. Furthermore, the above-described embodiments can be combined as long as the content is not contradictory.

[0062] Some or all of the above embodiments may be described as, but are not limited to, the following supplementary notes: 1. An information processing device comprising: an acquisition means for acquiring route information indicating a delivery route including one or more points where an electric vehicle delivering a package will stop, and cargo information related to packages to be loaded onto or unloaded from the electric vehicle at each point; and a calculation means for calculating, using the route information and the cargo information, an expected amount of power consumption when the electric vehicle travels along the delivery route. 2. The information processing device described in 1., wherein the calculation means calculates the number of times an elevator of the electric vehicle is used at each point based on the cargo information, and calculates a first amount of power consumption consumed when loading and unloading the packages based on the number of times the elevator is used. 3. The information processing device described in 1. or 2., wherein the calculation means calculates, based on the cargo information, a total weight of the packages for each section of the delivery route separated by the points, and calculates a second amount of power consumption consumed while traveling along the delivery route using the route information and the total weight for each section. 4. The information processing device described in 2. or 3., wherein the acquisition means further acquires individual information of the electric vehicle, and the calculation means further uses the individual information to calculate a second amount of power consumption consumed while traveling along the delivery route. 5. The information processing device described in any one of 2. to 4., wherein the acquisition means further acquires attribute information indicating attributes of the package, and the calculation means further uses the attribute information to calculate a second amount of power consumption consumed while traveling along the delivery route. 6. The information processing device described in any one of 2. to 5., wherein the acquisition means further acquires temperature information related to the temperature during traveling, and the calculation means further uses the temperature information to calculate a second amount of power consumption consumed while traveling along the delivery route. 7. The information processing device described in any one of 2. to 6., wherein the acquisition means further acquires driving history information accumulated for the delivery route, and the calculation means further uses the driving history information to calculate a second amount of power consumption consumed while traveling along the delivery route.8. The information processing device described in any one of 2. to 7., wherein the acquisition means further acquires road segment information indicating segments of roads included in the delivery route, and the calculation means further uses the road segment information to calculate a second amount of energy consumption consumed while traveling along the delivery route. 9. An information processing method including: at least one computer acquires route information indicating a delivery route including one or more points at which an electric vehicle delivering a package will stop, and cargo information related to cargo to be loaded onto or unloaded from the electric vehicle at each point, and calculates an expected amount of energy consumption when the electric vehicle travels along the delivery route using the route information and the cargo information. 10. The information processing method described in 9., wherein the at least one computer calculates the number of times an elevator of the electric vehicle is used at each point based on the cargo information, and calculates a first amount of energy consumption consumed when loading and unloading the cargo based on the number of times the elevator is used. 11. The information processing method described in 9. or 10., including the at least one computer: calculating, based on the cargo information, a total weight of the packages for each section of the delivery route separated by the points, and calculating a second amount of energy consumed while traveling along the delivery route using the route information and the total weight for each section. 12. The information processing method described in 10. or 11., including the at least one computer: further acquiring individual information of the electric vehicle, and calculating a second amount of energy consumed while traveling along the delivery route using the individual information. 13. The information processing method described in any one of 10. to 12., including the at least one computer: further acquiring attribute information indicating attributes of the packages, and calculating a second amount of energy consumed while traveling along the delivery route using the attribute information. 14. The information processing method described in 10., including the at least one computer: further acquiring temperature information related to the temperature during traveling, and calculating a second amount of energy consumed while traveling along the delivery route using the temperature information. 13. The information processing method according to any one of 1. to 13.15. The information processing method according to any one of 10. to 14., including the at least one computer further acquiring accumulated driving history information for the delivery route, and further using the driving history information to calculate a second amount of energy consumption consumed while traveling along the delivery route. 16. The information processing method according to any one of 10. to 15., including the at least one computer further acquiring road segment information indicating the segments of roads included in the delivery route, and further using the road segment information to calculate a second amount of energy consumption consumed while traveling along the delivery route. 17. A non-transitory computer-readable recording medium having recorded thereon a program that, when executed by at least one computer, causes the at least one computer to function as: an acquisition means that acquires route information indicating a delivery route including one or more points at which an electric vehicle that delivers a package will stop, and cargo information related to cargo to be loaded onto or unloaded from the electric vehicle at each point; and a calculation means that uses the route information and the cargo information to calculate an expected amount of energy consumption when the electric vehicle travels along the delivery route. 18. The non-transitory computer-readable recording medium described in 17., wherein the calculation means calculates the number of times an elevator of the electric vehicle is used at each location based on the cargo information, and calculates a first amount of energy consumed when loading and unloading the cargo based on the number of times the elevator is used. 19. The non-transitory computer-readable recording medium described in 17. or 18., wherein the calculation means calculates the total weight of the cargo for each section of the delivery route separated by the locations based on the cargo information, and calculates a second amount of energy consumed when traveling along the delivery route using the route information and the total weight for each section. 20. The non-transitory computer-readable recording medium described in 18. or 19., wherein the acquisition means further acquires individual information of the electric vehicle, and the calculation means further uses the individual information to calculate a second amount of energy consumed when traveling along the delivery route.21. The non-transitory computer-readable recording medium according to any one of 18. to 20., wherein the acquisition means further acquires attribute information indicating attributes of the package, and the calculation means further uses the attribute information to calculate a second amount of energy consumed while traveling along the delivery route. 22. The non-transitory computer-readable recording medium according to any one of 18. to 21., wherein the acquisition means further acquires temperature information related to the temperature during traveling, and the calculation means further uses the temperature information to calculate a second amount of energy consumed while traveling along the delivery route. 23. The non-transitory computer-readable recording medium according to any one of 18. to 22., wherein the acquisition means further acquires driving history information accumulated for the delivery route, and the calculation means further uses the driving history information to calculate a second amount of energy consumed while traveling along the delivery route. 24. 24. The non-transitory computer-readable storage medium according to any one of 18. to 23., wherein the acquisition means further acquires road category information indicating categories of roads included in the delivery route, and the calculation means further uses the road category information to calculate a second amount of energy consumed while traveling along the delivery route.

[0063] REFERENCE SIGNS LIST 10 Information processing device 1000 Computer 1010 Bus 1020 Processor 1030 Memory 1040 Storage device 1050 Input / output interface 1060 Network interface 110 Acquisition unit 112 Additional information acquisition unit 120 Calculation unit 20 Electric vehicle

Claims

1. an acquisition means for acquiring route information indicating a delivery route including one or more points where an electric vehicle that delivers a package will stop, and cargo information regarding packages to be loaded onto or unloaded from the electric vehicle at each point; a calculation means for calculating an expected amount of power consumption when the electric vehicle travels along the delivery route using the route information and the cargo information; An information processing device comprising:

2. The calculation means Calculating the number of times the elevator of the electric vehicle is used at each location based on the cargo information; calculating a first amount of power consumption consumed when loading and unloading the luggage based on the number of times the elevator is used; The information processing device according to claim 1 .

3. The calculation means Calculating the total weight of the parcels for each section of the delivery route separated by the points based on the cargo information; calculating a second amount of energy consumed during travel along the delivery route using the route information and the total weight for each section; 3. The information processing device according to claim 1.

4. The acquisition means further acquires individual information of the electric vehicle, The calculation means further uses the individual information to calculate a second amount of energy consumed while traveling along the delivery route. The information processing device according to claim 2 .

5. The acquiring means further acquires attribute information indicating attributes of the package, The calculation means further uses the attribute information to calculate a second amount of energy consumed while traveling along the delivery route. The information processing device according to claim 2 .

6. The acquisition means further acquires temperature information related to the temperature during driving, The calculation means further uses the temperature information to calculate a second amount of energy consumed while traveling along the delivery route. The information processing device according to claim 2 .

7. The acquisition means further acquires accumulated driving performance information about the delivery route, The calculation means further uses the driving history information to calculate a second amount of energy consumed while driving the delivery route. The information processing device according to claim 2 .

8. The acquisition means further acquires road segment information indicating a segment of a road included in the delivery route, the calculation means further uses the road classification information to calculate a second amount of energy consumed while traveling along the delivery route. The information processing device according to claim 2 .

9. At least one computer Acquire route information indicating a delivery route including one or more points at which an electric vehicle delivering a package will stop, and cargo information regarding packages to be loaded onto or unloaded from the electric vehicle at each point; calculating an expected amount of power consumption when the electric vehicle travels along the delivery route using the route information and the cargo information; An information processing method including:

10. When executed by at least one computer, the method causes the at least one computer to: an acquisition means for acquiring route information indicating a delivery route including one or more points where an electric vehicle that delivers a package will stop, and cargo information regarding packages to be loaded onto or unloaded from the electric vehicle at each point; a calculation means for calculating an expected amount of power consumption when the electric vehicle travels along the delivery route, using the route information and the cargo information; A program to function as a