Information processing device, information processing system, information processing method, and recording medium

Abstract

The present invention provides an information processing device comprising a record acquisition unit, a determination unit, and an output unit. The record acquisition unit acquires first record data including travel records for a first fuel automobile on multiple days. The determination unit uses the first record data to determine whether or not travel by the first fuel automobile on each of the multiple days can be substituted with an electric automobile. The output unit outputs display data for displaying a display screen indicating, on a single screen, the results of the determination regarding the first fuel automobile on each of the multiple days.

Description

Information processing device, information processing system, information processing method, and recording medium

[0001] The present invention relates to an information processing device, an information processing system, an information processing method, and a recording medium.

[0002] For example, Patent Document 1 discloses an information processing device that acquires trip information related to one or more predetermined trips previously taken by a first vehicle having an internal combustion engine, and acquires and outputs the results of a simulation of what would happen if the predetermined trip were driven by a second vehicle that is a pure electric vehicle. The information processing device described in Patent Document 1 generates and outputs an image that displays the trip time and driving costs in a format that allows comparison between gasoline-powered vehicles and electric vehicles.

[0003] Japanese Patent Application Laid-Open No. 2023-092052

[0004] The image generated and output by the information processing device described in Patent Document 1 shows the results of a simulation of one trip of a gasoline-powered vehicle. For example, if a gasoline-powered vehicle is driven over multiple days, the driving of the gasoline-powered vehicle will include multiple trips. Therefore, in this case, a user of the information processing device described in Patent Document 1 must refer to the image for each trip individually. This makes it difficult for the user to determine whether a gasoline-powered vehicle driven over multiple days can be replaced by an electric vehicle.

[0005] One of the objectives of the present disclosure is to support consideration of whether or not to introduce electric vehicles as vehicles to replace fuel-powered vehicles that are operated over multiple days.

[0006] The information processing device of the present disclosure includes: a performance acquisition means for acquiring first performance data including the driving performance of a first fuel vehicle over multiple days; a determination means for using the first performance data to determine whether the driving of the first fuel vehicle on each of the multiple days can be replaced by an electric vehicle; and an output means for outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the multiple days on a single screen.

[0007] The information processing system according to the present disclosure includes the information processing device and a performance management device that manages the performance data, the performance management device including a performance storage unit that stores the performance data, and a performance transmission unit that transmits the performance data to the information processing device.

[0008] The information processing method disclosed herein includes one or more computers acquiring first performance data including driving performance of a first fuel vehicle over multiple days, using the first performance data to determine whether the driving of the first fuel vehicle on each of the multiple days can be replaced by an electric vehicle, and outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the multiple days on a single screen.

[0009] The recording medium of the present disclosure has recorded thereon a program for causing one or more computers to acquire first performance data including the driving performance of a first fuel vehicle over multiple days, use the first performance data to determine whether the driving of the first fuel vehicle on each of the multiple days can be replaced by an electric vehicle, and output display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the multiple days on a single screen.

[0010] According to the present disclosure, it is possible to assist in considering whether or not to introduce electric vehicles as vehicles to replace fuel-powered vehicles that are operated over multiple days.

[0011] 1 is a block diagram showing an example configuration of a first information processing device according to the present disclosure. FIG. 2 is a flowchart showing an example processing operation of a first information processing device according to the present disclosure. FIG. 3 is a block diagram showing an example configuration of a first information processing system according to the present disclosure. FIG. 4 is a flowchart showing an example processing operation of a first result management device according to the present disclosure. FIG. 4 is a block diagram showing an example configuration of a determination unit according to the present disclosure. FIG. 5 is a flow chart showing an example operation of a determination unit according to the present disclosure. FIG. 6 is a diagram showing an example of a display screen according to the present disclosure. FIG. 7 is a diagram showing an example of a display screen according to the present disclosure, in which running data is displayed in association with a date. FIG. 7 is a diagram showing an example physical configuration of a first information processing device according to the present disclosure. FIG. 8 is a block diagram showing an example configuration of a second information processing system according to the present disclosure. FIG. 9 is a diagram showing another example of a display screen according to the present disclosure. FIG. 10 is a diagram showing another example of a display screen according to the present disclosure, in which running data is displayed in association with a date. FIG. 11 is a block diagram showing an example configuration of a second information processing device according to the present disclosure. FIG. 12 is a flowchart showing an example processing operation of a second information processing device according to the present disclosure. FIG. 13 is a diagram showing yet another example of a display screen according to the present disclosure.

[0012] Hereinafter, embodiments of the present disclosure 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 as appropriate. In addition, in this disclosure, the drawings relate to one or more embodiments.

[0013] First Embodiment (Configuration Example of Information Processing Apparatus 100) As shown in FIG. 1, the information processing apparatus 100 includes a performance acquisition unit 110, a determination unit 120, and an output unit 130.

[0014] The performance acquisition unit 110 acquires first performance data including driving performance of the first fuel vehicle over multiple days. The determination unit 120 uses the first performance data to determine whether driving of the first fuel vehicle can be replaced by an electric vehicle for each of the multiple days. The output unit 130 outputs display data for displaying a display screen showing the results of the determination for the first fuel vehicle over each of the multiple days on a single screen.

[0015] According to the information processing device 100, a user can see at a glance whether a fuel-powered vehicle that runs over multiple days can be replaced with an electric vehicle by referring to the display screen, which can assist in the consideration of whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0016] (Example of Operation of Information Processing Device 100) The information processing device 100 executes information processing as shown in FIG.

[0017] The performance acquisition unit 110 acquires first performance data including the driving performance of the first fuel vehicle over multiple days (step S110).

[0018] The determination unit 120 uses the first performance data to determine whether or not the driving of the first fuel vehicle can be replaced by the electric vehicle on each of a plurality of days (step S120).

[0019] The output unit 130 outputs display data for displaying a display screen showing the results of the determination for the first-fuel vehicle on each of the multiple days on a single screen (step S130).

[0020] According to the information processing device 100, a user can see at a glance whether a fuel-powered vehicle that runs over multiple days can be replaced with an electric vehicle by referring to the display screen, which can assist in the consideration of whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0021] The information processing device 100 and a detailed example of its operation will be described below.

[0022] (Configuration example of information processing system S1) The information processing device 100 is a device for determining whether the running of a fuel-powered vehicle that runs over multiple days can be replaced by an electric vehicle. The information processing device 100 is provided in, for example, an information processing system S1 that determines whether the running of a fuel-powered vehicle that runs over multiple days can be replaced by an electric vehicle.

[0023] The information processing system S1 includes, for example, a performance management device 50 that manages performance data, and an information processing device 100, as shown in FIG.

[0024] The performance management device 50 includes a performance storage unit 51 for storing performance data, and a performance transmission unit 52 for transmitting the performance data to the information processing device 100 .

[0025] (Example of Operation of Record Management Device 50) The record management device 50 executes a record management process as shown in FIG. 4, for example.

[0026] The record transmission unit 52 reads the record data from the record storage unit 51 (step S51).

[0027] The performance data transmitting unit 52 transmits the performance data to the information processing device 100 (step S52).

[0028] This performance management process may be included in the information processing executed by the entire information processing system S1.

[0029] (Connection between the performance management device 50 and the information processing device 100) The performance management device 50 and the information processing device 100 are connected to each other, for example, via a communications network NT. The communications network NT may be configured, for example, as a wired or wireless network, or a combination of these. This allows the performance management device 50 and the information processing device 100 to be connected so that they can send and receive various information, such as performance data, to each other.

[0030] (Fuel-powered vehicles and electric vehicles)

[0031] A fuel-powered vehicle is a vehicle that runs on fossil fuels such as gasoline, diesel, and liquefied natural gas. A fuel-powered vehicle is, for example, a vehicle used for delivering goods. In the following, an example will be described in which the fuel-powered vehicle is a vehicle used for delivering goods.

[0032] The first fuel vehicle is a single identified fuel vehicle. In detail, for example, the first fuel vehicle is a specific fuel vehicle among one or more fuel vehicles used at, for example, a package delivery center. When multiple fuel vehicles are used at the delivery center, the specific fuel vehicle may be, for example, one fuel vehicle arbitrarily selected by the user of the information processing device 100 from the multiple fuel vehicles.

[0033] The use of fuel-powered vehicles is not limited to delivery of goods, but may be for other purposes.

[0034] An electric vehicle is a vehicle that is equipped with a rechargeable battery (secondary battery) and runs on electricity stored in the battery.

[0035] (Regarding performance data) Performance data is data (information) including the driving performance of a fuel-powered vehicle. A fuel-powered vehicle is driven over multiple days. Therefore, the performance data includes the driving performance of the fuel-powered vehicle over multiple days.

[0036] In detail, for example, the performance data may include the driving performance of the fuel-powered vehicle for each of a plurality of days. The driving performance may include, for example, at least one of the following: driving distance, information regarding elevation changes along the driving route, information regarding acceleration and deceleration, fuel consumption, and delivery performance. The delivery performance may include, for example, at least one of the weight and volume of the package, the stopping time for loading, and the number of delivery households.

[0037] The first performance data is performance data on a first fuel vehicle, that is, data including the driving performance of the first fuel vehicle over multiple days.

[0038] The information included in the driving history is not limited to the above examples, and may include at least one of the above information and other information.

[0039] (Regarding the Record Acquisition Unit 110) The record acquisition unit 110 acquires record data from the record management device 50 in response to, for example, a user instruction.

[0040] The user's instruction includes, for example, a target period and information for identifying the fuel vehicle (vehicle identification information). The target period is information for identifying the period of the driving record to be acquired. Note that the user's instruction may include, for example, only one of the target period and information for identifying the fuel vehicle (vehicle identification information).

[0041] For example, when the result acquisition unit 110 receives an instruction from a user, it transmits a request for result data corresponding to the instruction to the result management device 50 .

[0042] When the request for the performance data is received, the performance transmission unit 52 executes the performance management process described above. In detail, for example, when the performance data request is received in step S51, the performance transmission unit 52 reads performance data corresponding to the request from the performance storage unit 51. The performance transmission unit 52 transmits the performance data read in step S51 to the information processing device 100.

[0043] This allows the performance acquisition unit 110 to acquire performance data according to the user's instructions.

[0044] In more detail, for example, suppose the result acquisition unit 110 receives an instruction including a target period for one month (e.g., February 2023) and vehicle identification information for identifying a first-fuel vehicle. In this case, by executing the above-described process, the result acquisition unit 110 acquires first result data including the driving results of the first-fuel vehicle for each day of the month (e.g., February 2023).

[0045] The method by which the performance data acquisition unit 110 acquires performance data is not limited to the above example. For example, the information processing device 100 may include a performance data storage unit 51. In this case, the performance data acquisition unit 110 may acquire performance data from the performance data storage unit 51 without going through the network NT.

[0046] (Determination Unit 120) The determination unit 120 uses the first performance data to determine whether or not the driving of the first fuel vehicle on each of a plurality of days can be replaced by an electric vehicle.

[0047] The determination unit 120 may make a determination using further determination conditions for determining whether or not the running of a fuel vehicle in one day can be replaced by an electric vehicle.

[0048] The judgment conditions may be determined in advance, and may be specified, for example, using a minimum charging rate and an upper limit on the number of charging times. The minimum charging rate is the charging rate that must be maintained in the electric vehicle during one day's driving to prevent the electric vehicle from running out of power. This minimum charging rate may be expressed as the amount of charge. The upper limit on the number of charging times is the upper limit on the number of times that the electric vehicle may be charged within a specified time period (e.g., 30 minutes) during one day's driving. An example of such a judgment condition is "whether or not the electric vehicle can be driven with charging at or below the upper limit on the number of charging times Nmax (times) in accordance with driving history, while maintaining a charging rate P (%) that is equal to or higher than the minimum charging rate."

[0049] Furthermore, when the determination condition is met (i.e., when substitution by an electric vehicle is possible), the determination unit 120 may continuously or stepwise determine how much margin is expected for substitution.

[0050] In detail, for example, the determination unit 120 may include a simulation unit 121 and a possibility determination unit 122 as shown in FIG.

[0051] The simulator 121 uses the performance data to simulate the running of an electric vehicle when the electric vehicle runs in the same way as a fuel-powered vehicle on each of a number of days, and generates running data that indicates the results of the simulation.

[0052] The feasibility determination unit 122 uses the driving data to determine whether or not the driving of a fuel-powered vehicle can be replaced by an electric vehicle on each of a plurality of days.

[0053] (Example of Operation of Determining Unit 120) The determining unit 120 executes, for example, a determination process (step S120) as shown in FIG.

[0054] The simulator 121 uses the performance data to simulate the driving of an electric vehicle when the electric vehicle drives in the same way as a fuel-powered vehicle on each of multiple days, and generates driving data that indicates the results of the simulation (step S121).

[0055] The possibility determination unit 122 uses the driving data to determine whether or not the driving of the fuel-powered vehicle can be replaced by the electric vehicle on each of a plurality of days (step S122).

[0056] (Regarding the Simulator 121) The simulator 121 simulates the running of the electric vehicle when the electric vehicle runs in the same manner as the first fuel vehicle on each of a plurality of days, for example, by using the first performance data and the minimum charging rate included in the determination conditions. Then, the simulator 121 generates, for example, first running data indicating the results of the simulation.

[0057] In detail, for example, the simulator 121 simulates the charging locations and charging times required when the electric vehicle travels along the route indicated in the first performance data while maintaining the minimum charging rate. The number of charging locations corresponds to the number of times the electric vehicle is charged when traveling along the route indicated in the first performance data.

[0058] The simulator 121 simulates at least one of the total travel distance, required time, and power consumption from departure from the base to return, and the travel distance, required time, and power consumption for each section between each charging location from departure from the base to return. The simulator 121 generates first travel data that indicates the results of the simulation using the first actual data.

[0059] The driving data is not limited to the above examples and may include at least one of the following: driving distance, required time, power consumption, number of charges, and charging time. Information about the electric vehicle required for the simulation (e.g., electricity cost, charging capacity, charging speed, etc.) may be determined appropriately based on the specifications of the electric vehicle to be introduced.

[0060] (Regarding the feasibility determination unit 122) The feasibility determination unit 122 determines whether or not the driving of the first fuel vehicle on each of a plurality of days can be replaced by an electric vehicle, for example, using the first driving data and a determination condition.

[0061] Further, for example, the feasibility determination unit 122 may continuously or stepwise determine how much room is expected for substitution based on the number of times charging is required if the electric vehicle travels along the route indicated in the first performance data.

[0062] In more detail, for example, assume that the upper limit number of charging times Nmax (times) is 1. In this case, the feasibility determination unit 122 determines that substitution is possible if the simulation result shows that the required number of charging times is 0 or 1. If the simulation shows that the required number of charging times is 0, the feasibility determination unit 122 determines that the substitution is at level 1, which indicates a level at which a large margin is expected to be achieved if substitution is made. If the simulation shows that the required number of charging times is 1, the feasibility determination unit 122 determines that the substitution is at level 2, which indicates a level at which a small margin is expected to be achieved if substitution is made.

[0063] Note that the upper limit number of charging times Nmax (times) is not limited to 1, and may be set to any appropriate number equal to or greater than 0. Levels 1 and 2 are examples of labels (values) that indicate in stages how much room is expected for substitution, but labels (values) that continuously or stepwise indicate how much room is expected for substitution are not limited to this example. For example, the number of stages for substitution may be one or more.

[0064] (Regarding the Output Unit 130) The output unit 130 outputs display data for displaying a display screen showing, for example, the results of the determination for the first-fuel vehicle for each of a plurality of days on a single screen. The display screen may show the results of the determination in a calendar format.

[0065] 7 is a diagram illustrating an example of a display screen according to the present disclosure, showing, in a calendar format, the results of determining whether a first-fuel vehicle can be replaced with an electric vehicle based on driving records for February 2023.

[0066] Furthermore, in Fig. 7 , the results of the determination on the display screen are displayed in a display mode that is predetermined depending on the type of the determination result. That is, the display screen shown in Fig. 7 indicates days determined to be non-substitutable by hatching. The display screen shown in Fig. 7 indicates days determined to be Level 1 by white. The display screen shown in Fig. 7 indicates days determined to be Level 2 by multiple dots. Days marked with "-" on the display screen shown in Fig. 7 indicate days with no driving record, i.e., days on which the first-fuel vehicle was not driven.

[0067] Furthermore, the display field for each day on the display screen may include travel data as shown in Fig. 8. Fig. 8 shows an example in which the display field for February 3 includes travel data, and shows the total travel distance, total travel time, and total power consumption from top to bottom.

[0068] The display mode according to the type of judgment result is not limited to the change in background as described above, but may be, for example, at least one of the font and color of the value indicating the driving data, and the color and pattern of the background.

[0069] (Example of Physical Configuration of Information Processing Apparatus 100) As shown in FIG. 9, the information processing apparatus 100 physically includes a bus 1010, a processor 1020, a memory 1030, a storage device 1040, a network interface 1050, and a user interface 1060.

[0070] The bus 1010 is a data transmission path for transmitting and receiving data among the processor 1020, memory 1030, storage device 1040, network interface 1050, input interface 1060, and output interface 1070. However, the method of connecting the processor 1020 and the like to each other is not limited to bus connection.

[0071] The processor 1020 is implemented as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).

[0072] The memory 1030 is a main storage device realized by a RAM (Random Access Memory) or the like.

[0073] 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), or the like. The storage device 1040 stores program modules for realizing the functions of the device that includes the storage device 1040. The processor 1020 loads each of these program modules into the memory 1030 and executes them to realize the function corresponding to that program module.

[0074] The network interface 1050 is an interface for connecting a device equipped with it to a communication network.

[0075] The input interface 1060 is an interface for the user to input information, and is configured from, for example, a touch panel, a keyboard, a mouse, and the like.

[0076] The output interface 1070 is an interface for presenting information to the user, and is configured, for example, by a liquid crystal panel, an organic EL (Electro-Luminescence) panel, or the like.

[0077] In this way, the functions of the information processing device 100 can be realized by the physical components cooperating to execute a software program. Therefore, the present invention may be realized as a software program or as a non-transitory storage medium on which the program is recorded.

[0078] The performance management device 50 may be physically configured in the same manner as the information processing device 100, for example.

[0079] (Operations and Effects) As described above, according to this embodiment, the information processing device 100 includes the result acquisition unit 110, the determination unit 120, and the output unit 130.

[0080] The performance acquisition unit 110 acquires first performance data including driving performance of the first fuel vehicle over multiple days. The determination unit 120 uses the first performance data to determine whether driving of the first fuel vehicle can be replaced by an electric vehicle for each of the multiple days. The output unit 130 outputs display data for displaying a display screen showing the results of the determination for the first fuel vehicle over each of the multiple days on a single screen.

[0081] This allows the user to see at a glance whether a fuel-powered vehicle that runs over multiple days can be replaced with an electric vehicle by referring to the display screen, which helps users consider whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0082] According to this embodiment, the display screen shows the results of the determination in a calendar format.

[0083] This allows the user to easily see whether a fuel-powered vehicle that runs over multiple days can be replaced with an electric vehicle by referring to the display screen, thereby helping the user to consider whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0084] According to this embodiment, the determination unit 120 includes a simulation unit 121 and a feasibility determination unit 122. The simulation unit 121 uses performance data to simulate the driving of an electric vehicle when the electric vehicle performs the driving of each fuel-powered vehicle on each of multiple days. The simulation unit 121 then generates driving data indicating the results of each simulation. The feasibility determination unit 122 uses the driving data to determine whether the electric vehicle can replace the driving of the fuel-powered vehicle on each of the multiple days.

[0085] The display screen further includes the driving data. The determination result on the display screen is displayed in a display mode that is predetermined according to the type of the determination result.

[0086] The determination unit 120 can determine whether a fuel-powered vehicle that runs over multiple days can be replaced by an electric vehicle, thereby supporting consideration of whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0087] By including the driving data on the display screen, the user can refer to the simulation results and consider introducing an electric vehicle, which can help the user consider whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that is operated over multiple days.

[0088] The results of the determination on the display screen are displayed in a predetermined display format depending on the type of the determination result, so it is easy to visually determine whether a fuel-powered vehicle that runs over multiple days can be replaced with an electric vehicle, thereby supporting consideration of whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0089] According to this embodiment, the determination unit 120 makes a determination by further using a determination condition for determining whether or not the running of a fuel vehicle in one day can be replaced by an electric vehicle.

[0090] This makes it possible to determine whether a fuel-powered vehicle that runs over multiple days can be replaced by an electric vehicle, thereby supporting consideration of whether to introduce an electric vehicle as a replacement for a fuel-powered vehicle that runs over multiple days.

[0091] According to this embodiment, the fuel-powered vehicle is a vehicle used for delivering packages. The driving history includes at least one of the following: driving distance, information about elevation changes along the driving route, information about acceleration and deceleration, fuel consumption, and delivery history. The delivery history includes at least one of the following: package weight, volume, stopping time for loading, and number of delivery households. The driving data includes at least one of the following: driving distance, required time, power consumption, number of charges, and charging time.

[0092] This makes it possible to determine whether fuel-powered vehicles used for delivering packages can be replaced with electric vehicles, thereby supporting consideration of whether to introduce electric vehicles as vehicles to replace fuel-powered vehicles used for delivering packages.

[0093] (Variation 1) The method of output by the output unit 130 is not limited to display, and may be, for example, transmission to a predetermined device. For example, as shown in Fig. 10, the information processing system S2 may further include, as the predetermined device, a terminal device 180 connected to the network NT so as to be able to transmit and receive information to and from the terminal device 180. The output unit 130 may then transmit display data to the terminal device 180.

[0094] This also provides the same effect as in the first embodiment.

[0095] [Embodiment 2] In the first embodiment, an example was described in which it was determined whether the running of a first fuel vehicle can be replaced by an electric vehicle. There may be a plurality of fuel vehicles for which it is determined whether they can be replaced. In this embodiment, an example is described in which it is determined whether each of the first to Nth fuel vehicles can be replaced by an electric vehicle, where N is an integer of 2 or more. In this embodiment, differences from the first embodiment will be mainly described, and overlapping descriptions will be omitted as appropriate for the sake of brevity.

[0096] (Regarding the first to Nth fuel vehicles and performance data) The first to Nth fuel vehicles are, for example, all fuel vehicles used at a package delivery base. Note that the first to Nth fuel vehicles may be, for example, one fuel vehicle selected arbitrarily from among the fuel vehicles used at the package delivery base, or multiple fuel vehicles selected arbitrarily.

[0097] The performance memory unit 51 may store first to Nth performance data including the driving performance of the first to Nth fuel-powered vehicles over multiple days. The performance transmission unit 52 may transmit the first to Nth performance data in response to a request from the performance acquisition unit 110, for example.

[0098] (Regarding the performance record obtaining unit 110) The performance record obtaining unit 110 further obtains second to Nth performance data including the driving performance of each of the second to Nth fuel-fueled automobiles over multiple days, where N is an integer equal to or greater than 2. That is, the performance record obtaining unit 110 may obtain first to Nth performance data that are the driving performance of each of the first to Nth fuel-fueled automobiles over multiple days.

[0099] In more detail, for example, suppose that the result acquisition unit 110 receives an instruction including a target period for one month (e.g., February 2023) and vehicle identification information for identifying a fuel vehicle. For example, if the first to Nth fuel vehicles are all fuel vehicles at a package delivery base A, the vehicle identification information may be delivery base A.

[0100] As described in the first embodiment, when the result acquisition unit 110 transmits a request for result data according to the instruction to the result management device 50, the result management process is executed, and result data according to the user's instruction can be acquired. That is, for example, the result acquisition unit 110 acquires first to Nth result data including the driving results of the first to Nth fuel automobiles on each day of the target period (for example, February 2023).

[0101] (Regarding the Determination Unit 120) The determination unit 120 may use the first to Nth performance data to determine whether or not the driving of each of the first to Nth fuel-fired vehicles on each of multiple days can be replaced by an electric vehicle. In this determination, the same determination conditions as in the first embodiment may also be used.

[0102] (Regarding the Simulating Unit 121) The simulating unit 121 may, for example, use the first to Nth performance data to simulate the driving of the electric vehicle when the electric vehicle drives the first to Nth fuel-powered vehicles on each of multiple days, and may then generate, for example, the first to Nth driving data indicating the results of each of the simulations.

[0103] In detail, for example, the simulating unit 121 may execute the same process as that described for the first performance data for each of the first to Nth performance data.

[0104] (Regarding the feasibility determination unit 122) The feasibility determination unit 122 may, for example, use the first to Nth driving data to determine whether the driving of the first to Nth fuel-powered vehicles on each of multiple days can be replaced by electric vehicles.

[0105] In detail, for example, the possibility determination unit 122 may execute the same process as that explained using the first traveling data, using each of the first to Nth traveling data.

[0106] (Regarding the Output Unit 130) The output unit 130 may output display data for displaying a display screen showing the results of the determination for each of the first to Nth fuel-powered vehicles on each of the multiple days on a single screen. That is, the display screen may show the results of the determination for each of the first to Nth fuel-powered vehicles on each of the multiple days on a single screen.

[0107] FIG. 11 shows another example of a display screen according to the present disclosure. FIG. 11 shows an example of a calendar displaying the results of a determination of whether or not each of the first to third fuel vehicles used at delivery center A can be replaced with an electric vehicle, based on driving records for February 2023. In the figure, the dotted rectangular lines for each day correspond to the determination results for the first to Nth fuel vehicles, in order from left to right. Hatching, white, multiple dots, and "-" indicate, as in the first embodiment, that a vehicle has been determined to be non-substitutable, that a vehicle has been determined to be at level 1, that a vehicle has been determined to be at level 2, and that a vehicle has no driving record, respectively.

[0108] Furthermore, the display field for each day on the display screen may include travel data as shown in Fig. 12. Fig. 12 shows an example in which the display field for February 3 further includes travel data for each of the first to third fuel vehicles, and shows the total travel distance, total travel time, and total power consumption from top to bottom.

[0109] (Actions and Effects) As described above, according to this embodiment, the result acquisition unit 110 further acquires second through Nth result data including the driving results of the second through Nth fuel-powered vehicles over multiple days, where N is an integer equal to or greater than 2. The determination unit 120 uses the first through Nth result data to determine whether the driving of each of the first through Nth fuel-powered vehicles over each of the multiple days can be replaced by an electric vehicle. The display screen shows the results of the determination for each of the first through Nth fuel-powered vehicles over each of the multiple days on a single screen.

[0110] This allows the user to see at a glance whether multiple fuel-powered vehicles operating over multiple days can be replaced with electric vehicles by referring to the display screen, thereby helping to consider whether to introduce electric vehicles as vehicles to replace multiple fuel-powered vehicles operating over multiple days.

[0111] [Embodiment 3] In embodiment 3, an example will be described in which an information processing device estimates the number of N fuel-powered vehicles that can be replaced by electric vehicles based on the results of determining whether each of first to Nth fuel-powered vehicles can be replaced by an electric vehicle. In this embodiment, differences from embodiment 1 will be mainly described, and overlapping descriptions will be omitted as appropriate for the sake of brevity.

[0112] 13 , the information processing device 200 includes the result acquisition unit 110 and the determination unit 120 similar to those in the first or second embodiment, and an output unit 230 instead of the output unit 130. The information processing device 200 further includes an estimation unit 240.

[0113] The estimation unit 240 estimates the number of fuel-powered vehicles that can be replaced with electric vehicles among the N fuel-powered vehicles based on the determination result. The output unit 230 outputs display data for displaying a display screen that further includes the estimated number of vehicles.

[0114] (Example of Operation of Information Processing Device 200) The information processing device 200 executes information processing as shown in FIG.

[0115] Steps S110 and S120 similar to those in the first or second embodiment are executed.

[0116] Based on the result of the determination, the estimation unit 240 estimates the number of vehicles that can be replaced with electric vehicles out of the N fuel-powered vehicles (step S240).

[0117] The output unit 230 outputs display data for displaying a display screen that further includes the estimated number of vehicles (step S230).

[0118] (Regarding the estimation unit 240) The estimation unit 240 estimates the number of vehicles that can be replaced by electric vehicles out of the N fuel-powered vehicles based on the results of the judgment for each of the first to Nth fuel-powered vehicles on each of multiple days.

[0119] In more detail, for example, the estimation unit 240 estimates how many of the total number of fuel-powered vehicles (i.e., the first to Nth fuel-powered vehicles) used at the delivery base A can be replaced with electric vehicles based on the results of the determination. In this case, the estimation unit 240 may determine, for example, the minimum number of fuel-powered vehicles that have not been determined to be irreplaceable on each of multiple days as the number of vehicles that can be replaced with electric vehicles. Here, fuel-powered vehicles that have not been determined to be irreplaceable include fuel-powered vehicles that have been determined to be replaceable (i.e., level 1 or level 2) and fuel-powered vehicles that have not been driven.

[0120] The method for estimating the number of vehicles that can be replaced by electric vehicles is not limited to this. For example, the estimation unit 240 may estimate the number of vehicles that can be replaced by electric vehicles by determining whether each of the first to Nth fuel-powered vehicles can be replaced by an electric vehicle based on the results of the determination. In this case, the estimation unit 240 may determine, for example, the number of fuel-powered vehicles that are determined to be replaceable on all days of the target period (multiple days) as the number of vehicles that can be replaced by electric vehicles.

[0121] (Regarding the Output Unit 230) The output unit 230 outputs display data for displaying a display screen similar to that of the output unit 130 according to the first or second embodiment, which further includes the estimated number of devices.

[0122] 15 is a diagram showing yet another example of a display screen according to the present disclosure. This figure shows an example of a display screen that further includes an estimated number of vehicles in addition to the display screen shown in FIG. 11. The estimated number of vehicles, "1 vehicle," in this figure shows an example of an estimate of how many of the total number of fuel-powered vehicles used at delivery center A can be replaced with electric vehicles. In other words, "1 vehicle" in this figure is an example of the minimum number of fuel-powered vehicles that have not been determined to be non-replaceable on each of multiple days.

[0123] The display screen may include only the estimated number of vehicles. In this case, the display screen described in the first or second embodiment and the display screen including the estimated number of vehicles may be configured as separate screens.

[0124] According to the present embodiment, the information processing device 200 further includes an estimation unit 240 that estimates the number of fuel-powered vehicles that can be replaced with electric vehicles based on the determination result. The output unit 230 outputs display data for displaying a display screen that further includes the estimated number.

[0125] This allows the user to easily recognize the estimated number of fuel-powered vehicles that run across multiple days that can be replaced by electric vehicles by referring to the display screen, thereby helping to consider whether or not to introduce electric vehicles to replace fuel-powered vehicles that run across multiple days.

[0126] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0127] In addition, although the flowcharts used in the above description show a sequence of steps (processes), the order of steps executed in each embodiment is not limited to the sequence shown in the flowcharts. In each embodiment, the order of steps shown in the diagrams can be changed as long as it does not cause any problems in terms of the content.

[0128] 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: performance acquisition means for acquiring first performance data including driving performance of a first fuel vehicle over a plurality of days; determination means for using the first performance data to determine whether or not the driving of the first fuel vehicle on each of the plurality of days can be replaced by an electric vehicle; and output means for outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the plurality of days on a single screen. 2. The information processing device described in 1., wherein the performance acquisition means further acquires second to Nth performance data including the driving performance of second to Nth fuel vehicles on the plurality of days, where N is an integer of 2 or greater; the determination means uses the first to Nth performance data to determine whether or not the driving of each of the first to Nth fuel vehicles on each of the plurality of days can be replaced by an electric vehicle; and the display screen shows the results of the determination for each of the first to Nth fuel vehicles on a single screen. 3. 2. The information processing device according to any one of 1. to 3., further comprising an estimation means for estimating the number of vehicles out of the N fuel-powered vehicles that can be replaced by electric vehicles based on the results of the determination, and wherein the output means outputs the display data for displaying the display screen further including the estimated number. 4. The display screen shows the results of the determination in calendar format. 5. The information processing device according to any one of 1. to 4., wherein the determination means includes: simulation means for using the performance data to simulate the driving of an electric vehicle if the electric vehicle performs the driving of each of the fuel-powered vehicles on each of the plurality of days and generate driving data showing the results of each simulation, and feasibility determination means for using the driving data to determine whether the driving of the fuel-powered vehicles on each of the plurality of days can be replaced by an electric vehicle, and the display screen further includes the driving data, and the results of the determination on the display screen are displayed in a display mode that is predetermined according to the type of the result of the determination.6. The determination means makes the determination by further using a determination condition for determining whether the daily driving of a fuel-powered vehicle can be replaced by an electric vehicle. 7. The information processing device described in any one of 1. to 5., wherein the fuel-powered vehicle is a vehicle used for delivering packages, and the driving history includes at least one of driving distance, information on elevation changes in the driving route, information on acceleration and deceleration, fuel consumption, and delivery history, and the delivery history includes at least one of package weight, volume, stopping time for loading, and number of homes delivered, and the driving data includes at least one of driving distance, required time, power consumption, number of charges, and charging time. 8. An information processing system comprising: the information processing device described in any one of 1. to 7.; and a history management device that manages the history data, wherein the history management device comprises: history storage means for storing the history data, and history transmission means for transmitting the history data to the information processing device. 9. 10. An information processing method including one or more computers acquiring first performance data including driving performance of a first fuel vehicle over a plurality of days, using the first performance data to determine whether or not the driving of the first fuel vehicle on each of the plurality of days can be substituted with an electric vehicle, and outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the plurality of days on a single screen. 11. The information processing method described in 9., wherein acquiring the performance data further includes acquiring second to Nth performance data including the driving performance of second to Nth fuel vehicles on the plurality of days, where N is an integer greater than or equal to 2, and determining whether or not the driving of each of the first to Nth fuel vehicles on each of the plurality of days can be substituted with an electric vehicle using the first to Nth performance data, and the display screen shows the results of the determination for each of the first to Nth fuel vehicles on each of the plurality of days on a single screen.11. The information processing method according to 10., further comprising estimating the number of vehicles out of the N fuel-powered vehicles that can be replaced by electric vehicles based on the results of the determination, and outputting the display data includes outputting the display data for displaying the display screen further including the estimated number. 12. The information processing method according to any one of 9. to 11., wherein the display screen shows the results of the determination in calendar format. 13. The information processing method according to any one of 9. to 12., wherein the determining includes using the performance data to simulate the driving of an electric vehicle when the electric vehicle performs the driving of each of the fuel-powered vehicles on each of the plurality of days, and generating driving data showing the results of each simulation, and using the driving data to determine whether the driving of the fuel-powered vehicles on each of the plurality of days can be replaced by an electric vehicle, wherein the display screen further includes the driving data, and the results of the determination on the display screen are displayed in a display mode predetermined according to the type of the result of the determination. 14. The information processing method of any one of 9. to 13., wherein the determining further uses a determination condition for determining whether the daily driving of a fuel-powered vehicle can be replaced by an electric vehicle. 15. The information processing method of 13., wherein the fuel-powered vehicle is a vehicle used for delivering packages, and the driving history includes at least one of driving distance, information on elevation changes in the driving route, information on acceleration and deceleration, fuel consumption, and delivery history, and the delivery history includes at least one of package weight, volume, stopping time for loading, and number of delivery households, and the driving data includes at least one of driving distance, required time, power consumption, number of charges, and charging time. 16. The information processing method of at least one of 9. to 15., further including transmitting the history data to an information processing device.17. A program causing one or more computers to execute the following steps: acquire first performance data including driving performance of a first fuel vehicle over a plurality of days; use the first performance data to determine whether or not the driving of the first fuel vehicle on each of the plurality of days can be substituted with an electric vehicle; and output display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the plurality of days on a single screen. 18. The program described in 17., wherein acquiring the performance data further includes acquiring second to Nth performance data including the driving performance of second to Nth fuel vehicles on the plurality of days, where N is an integer greater than or equal to 2; determining whether or not the driving of each of the first to Nth fuel vehicles on each of the plurality of days can be substituted with an electric vehicle using the first to Nth performance data; and the display screen shows the results of the determination for each of the first to Nth fuel vehicles on each of the plurality of days on a single screen. 19. 18. The program described in 18., further comprising: estimating the number of vehicles out of N fuel-powered vehicles that can be replaced by electric vehicles based on the results of the determination; and outputting the display data includes outputting the display data for displaying the display screen further including the estimated number. 20. The program described in any one of 17. to 19., wherein the display screen shows the results of the determination in calendar format. 21. The program described in any one of 17. to 20., wherein the determining includes: using the performance data to simulate the driving of an electric vehicle if the electric vehicle performed the driving of each of the fuel-powered vehicles on each of the plurality of days, and generating driving data showing the results of each simulation; and using the driving data to determine whether the driving of the fuel-powered vehicles on each of the plurality of days can be replaced by an electric vehicle; the display screen further includes the driving data; and the results of the determination on the display screen are displayed in a display mode that is predetermined depending on the type of the result of the determination.22. The program according to any one of 17. to 21., wherein the determining further uses a determination condition for determining whether the daily driving of a fuel-powered vehicle can be replaced by an electric vehicle. 23. The program according to 21., wherein the fuel-powered vehicle is a vehicle used for delivering packages, and the driving history includes at least one of driving distance, information on elevation changes in the driving route, information on acceleration and deceleration, fuel consumption, and delivery history, and the delivery history includes at least one of package weight, volume, stopping time for loading, and number of delivery households, and the driving data includes at least one of driving distance, required time, power consumption, number of charges, and charging time. 24. The program according to at least one of 17. to 23., further configured to execute transmitting the history data to an information processing device. 25. A recording medium having recorded thereon a program according to at least one of 17. to 24.

[0129] 50 Performance management device 51 Performance storage unit 52 Performance transmission unit 100, 200 Information processing device 110 Performance acquisition unit 120 Determination unit 121 Simulating unit 122 Possibility determination unit 130, 230 Output unit 240 Estimation unit

Claims

1. A performance acquisition means for acquiring first performance data including the driving performance of a first fuel vehicle over a plurality of days; a determination means for determining, using the first performance data, whether the driving of the first fuel vehicle on each of the plurality of days can be replaced by an electric vehicle; and an output means for outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the plurality of days on a single screen. An information processing apparatus.

2. When N is an integer of 2 or more, the performance acquisition means further acquires second to Nth performance data including the driving performance of each of the second to Nth fuel vehicles over the plurality of days. The determination means determines, using the first to Nth performance data, whether the driving of each of the first to Nth fuel vehicles on each of the plurality of days can be replaced by an electric vehicle. The display screen shows the results of the determination for each of the first to Nth fuel vehicles on each of the plurality of days on a single screen. The information processing apparatus according to claim 1.

3. Further comprising an estimation means for estimating the number of vehicles among the N fuel vehicles that can be replaced by the electric vehicle based on the result of the determination. The output means outputs the display data for displaying the display screen further including the estimated number of vehicles. The information processing apparatus according to claim 2.

4. The display screen shows the result of the determination in a calendar format. The information processing apparatus according to any one of claims 1 to 3.

5. The determination means includes a simulation means for simulating the driving of the electric vehicle when the driving of each of the fuel vehicles on each of the plurality of days is performed by the electric vehicle using the performance data, and generating driving data showing the results of the respective simulations. A determination means for determining whether the driving of the fuel vehicle on each of the plurality of days can be replaced by an electric vehicle using the driving data. The display screen further includes the driving data. The result of the determination on the display screen is displayed in a predetermined display mode according to the type of the result of the determination. The information processing apparatus according to any one of claims 1 to 4.

6. The information processing apparatus according to any one of claims 1 to 5, wherein the determination means further uses determination conditions for determining whether the travel of the fuel vehicle in one day can be replaced by an electric vehicle to make a determination.

7. The fuel vehicle is a vehicle used for delivering goods, the travel record includes at least one of travel distance, information on elevation differences in the travel route, information on acceleration and deceleration, fuel consumption, and delivery record, the delivery record includes at least one of the weight of the goods, volume, parking time for carrying the goods, and number of delivery destinations, and the travel data includes at least one of travel distance, required time, power consumption, number of charging times, and charging time. The information processing apparatus according to claim 5.

8. An information processing system comprising the information processing apparatus according to any one of claims 1 to 7, and a performance management apparatus for managing the performance data, the performance management apparatus including performance storage means for storing the performance data and performance transmission means for transmitting the performance data to the information processing apparatus.

9. An information processing method including: one or more computers obtaining first performance data including the travel record of a first fuel vehicle over multiple days; using the first performance data to determine whether the travel of the first fuel vehicle on each of the multiple days can be replaced by an electric vehicle; and outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the multiple days on one screen.

10. A recording medium having recorded thereon a program for causing one or more computers to execute: obtaining first performance data including the travel record of a first fuel vehicle over multiple days; using the first performance data to determine whether the travel of the first fuel vehicle on each of the multiple days can be replaced by an electric vehicle; and outputting display data for displaying a display screen showing the results of the determination for the first fuel vehicle on each of the multiple days on one screen.

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