Information processing apparatus and information processing method

Abstract

To provide an information processor and an information processing method capable of grasping an effect by replacing a gasoline vehicle with an electric vehicle for each vehicle.SOLUTION: An information processing apparatus includes a controller. The controller is configured to collect travel record information indicating a record of travel of a plurality of gasoline vehicles, calculate a fuel efficiency record in a travel route for each gasoline vehicle based on the travel record information, estimate, for each gasoline vehicle, a replacement effect obtained when a gasoline vehicle is replaced with an electric vehicle based on the fuel efficiency record, and provide the estimated replacement effect to a manager of the gasoline vehicles.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an information processing device and an information processing method. [Background technology]

[0002] In recent years, vehicles that run on motors driven by electricity (hereinafter referred to as electric vehicles) have become popular, separate from vehicles that run on engines powered by fuels such as gasoline or diesel (hereinafter referred to as gasoline vehicles).For example, Patent Document 1 discloses a technology that, when replacing multiple commercial vehicles, calculates the number of gasoline vehicles that should be replaced with electric vehicles based on usage conditions, and provides an administrator with an estimate of the cost and other benefits of replacing the calculated number of vehicles. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-155978 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology, only the overall effect of replacing multiple vehicles is estimated, and the effect on each vehicle is not estimated. Therefore, in the conventional technology, for example, when only some of the multiple vehicles proposed for replacement can be replaced due to budgetary or other reasons, the manager cannot know which vehicle should be replaced to obtain the greatest effect.

[0005] The present invention has been made in consideration of the above, and aims to provide an information processing device and an information processing method that can grasp the effects of replacing gasoline-powered vehicles with electric vehicles for each vehicle. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems and achieve the object, an information processing device according to the present invention includes a controller that collects driving performance information indicating the driving performance of a plurality of gasoline vehicles, calculates the fuel economy performance for each of the gasoline vehicles on the driving route based on the driving performance information, estimates the replacement effect that would be obtained if the gasoline vehicles were replaced with electric vehicles based on the fuel economy performance for each of the gasoline vehicles, and provides the estimated replacement effect to a manager of the gasoline vehicles. [Effects of the Invention]

[0007] According to the present invention, fuel efficiency results are calculated from actual driving performance information for each vehicle, and the effect of replacing a gasoline vehicle with an electric vehicle is estimated for each vehicle, allowing managers of gasoline vehicles to grasp the effect of replacement for each vehicle. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing a process executed by an information processing apparatus according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of a replacement service providing device according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the driving performance information. [Figure 4] FIG. 4 is a diagram illustrating an example of user information. [Figure 5] FIG. 5 is a diagram for explaining a method for calculating the amount of CO2 reduction, which is the substitution effect. [Figure 6] FIG. 6 is a diagram showing an example of a screen display provided by the replacement service providing device. [Figure 7] FIG. 7 is a diagram showing an example of a screen display provided by the replacement service providing device. [Figure 8] FIG. 8 is a flowchart illustrating a processing procedure of a process executed by the replacement service providing device according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing apparatus and an information processing method according to an embodiment will be described in detail with reference to the accompanying drawings. Note that the present invention is not limited to the following embodiments.

[0010] Fig. 1 is a diagram showing processing executed by an information processing device according to an embodiment. Fig. 1 shows an example of the operation of an information processing system S including an information processing device 1 according to an embodiment. Note that, hereinafter, the information processing device 1 will be described as a replacement service providing device 1 that provides information on the replacement effect of replacing a gasoline-powered vehicle with an electric vehicle. Note that the replacement service providing device 1 may be incorporated into a fleet management server 100, which will be described later, and each processing step performed by the replacement service providing device 1 may be executed by the fleet management server 100.

[0011] 1, in the information processing system S, a replacement service providing device 1, a fleet management server 100, an administrator terminal 200, and fleet vehicles 300 are communicably connected via a network N. The network N is, for example, a network such as the Internet, a WAN (Wide Area Network), or a LAN (Local Area Network).

[0012] The service vehicle 300 is, for example, a commercial vehicle managed by a user who is an administrator, and in the present disclosure is a bus that multiple people get on and off, and is a gasoline-powered vehicle. Note that the service vehicle 300 is not limited to a bus, but may also be a taxi. Furthermore, the service vehicle 300 is not limited to a service vehicle, but may also be a commercial vehicle such as a sales vehicle used by a sales user. In other words, the service vehicle 300 may be any vehicle as long as multiple vehicles are managed by the administrator.

[0013] The traffic management server 100 is a server device that manages the operation of the operating vehicle 300. The traffic management server 100 stores the location information of the operating vehicle 300, the number of people currently riding in the vehicle, etc. The traffic management server 100 also accepts reservations from users who will ride in the operating vehicle 300, and arranges for the dispatch of taxis and the like.

[0014] The manager terminal 200, for example, acquires various information from the fleet management server 100 and displays the operation status, dispatch status, reservation status, etc. of the fleet 300 on the display unit. The manager terminal 200 also acquires information (information on replacement effects, etc.) provided from the replacement service providing device 1 described below and displays it on the display unit. In other words, the manager who owns the manager terminal 200 checks information on replacement effects simulated by the replacement service providing device 1, etc., via the manager terminal 200.

[0015] In this configuration, the replacement service providing device 1 first collects driving history information via the network N (step S1). In step S1, the replacement service providing device 1 first determines the operating vehicles 300 from which driving history information is to be collected. The operating vehicles 300 from which driving history information is to be collected are vehicles that need to be replaced. For example, the replacement service providing device 1 determines the operating vehicles 300 whose total driving distance is equal to or greater than a threshold, or the operating vehicles 300 whose number of years since purchase (manufacture) is equal to or greater than a threshold, as the operating vehicles from which driving history information is to be collected.

[0016] The replacement service providing device 1 then collects driving history information of the operating vehicle 300 determined as a collection target. The driving history information is information indicating driving history when the operating vehicle 300, which is a gasoline-powered vehicle, travels along a driving route. For example, if the operating vehicle 300 is a bus, the driving route is a predetermined driving route. For example, if the operating vehicle 300 is a taxi, the driving route may be roads in a predetermined area. The driving history information includes, for example, an instantaneous value of the fuel injection amount while the operating vehicle 300 is traveling along the driving route. The instantaneous value of the fuel injection amount is stored in a storage device installed in the operating vehicle 300 via a vehicle network such as a CAN (Controller Area Network), and is transmitted collectively from the operating vehicle 300 to the replacement service providing device 1 when the operating vehicle 300 finishes traveling along the driving route. Alternatively, the instantaneous value may be transmitted from the operating vehicle 300 to the fleet management server 100 at any timing, and then transmitted from the fleet management server 100 to the replacement service providing device 1 when the replacement service providing device 1 estimates the replacement effect.

[0017] The driving performance information to be collected is, for example, the most recent driving performance information. Specifically, the replacement service providing device 1 collects driving performance information when the driving route is driven, for example, five times most recently (any number of times is acceptable). In this case, the replacement service providing device 1 may store the driving performance information for each of the five times separately, or may store the average of the driving performance information for the five times.

[0018] The instantaneous value of the fuel injection amount included in the driving performance information may be linked to the location information of the operating vehicle 300, the number of passengers, etc. The number of passengers can be identified by, for example, analyzing an image from an in-vehicle camera.

[0019] Next, the replacement service providing device 1 calculates the actual fuel efficiency for the driving route based on the collected driving performance information (step S2). Specifically, the replacement service providing device 1 divides the driving route into a plurality of sections and calculates the actual fuel efficiency for each section. The sections can be divided by any method, such as by distance, by road type (general road, expressway, etc.), or by bus stop. The replacement service providing device 1 then calculates the fuel consumption from the instantaneous value of the fuel injection amount, and calculates the actual fuel efficiency for each section based on the fuel consumption. Details of the calculation of the actual fuel efficiency for each section will be described later with reference to FIG. 5.

[0020] Next, the replacement service providing device 1 estimates a substitution effect, which is the effect obtained when a gasoline vehicle is replaced with an electric vehicle, based on the calculated fuel efficiency record (step S3). For example, the replacement service providing device 1 estimates the amount of carbon dioxide (CO2) reduction that will result from replacing a gasoline vehicle with an electric vehicle as the substitution effect. Specifically, the replacement service providing device 1 estimates the substitution effect based on electricity cost information and fuel efficiency record of the electric vehicle to be purchased. The electricity cost information may be, for example, test data made public by the manufacturer of the electric vehicle, or electricity cost data when the electric vehicle is actually driven. Note that a detailed method for calculating the amount of CO2 reduction, which is the substitution effect, will be described later with reference to FIG. 5.

[0021] Next, the replacement service providing device 1 outputs information on the estimated replacement effect to the administrator terminal 200 (step S4). For example, the replacement service providing device 1 provides the administrator terminal 200 with a list of CO2 reduction amounts for each operating vehicle 300. As a result, the administrator terminal 200 displays the list of CO2 reduction amounts for each operating vehicle 300 on a screen. Note that examples of the screen display on the administrator terminal 200 will be described later with reference to FIGS. 6 and 7.

[0022] In addition to providing information on the replacement effect, the replacement service providing device 1 can also provide, for example, information on the priority of replacement, information on the number of replacement units that will meet the CO2 reduction target set by the administrator, information on the required number of charging facilities, etc., and these points will be described in detail later.

[0023] In this way, the replacement service providing device 1 according to the embodiment calculates the fuel efficiency results for each operating vehicle 300 from the actual driving performance information, and estimates the effect of replacing a gasoline-powered vehicle with an electric vehicle for each operating vehicle 300. Therefore, the replacement service providing device 1 according to the embodiment provides the replacement effect for each operating vehicle 300, allowing the user as an administrator to grasp the replacement effect for each operating vehicle 300. This makes it possible to easily determine which operating vehicle 300 should be replaced first, even if it is not possible to replace all of the operating vehicles 300 with electric vehicles, for example. In other words, the user as an administrator can efficiently replace the operating vehicles 300.

[0024] Next, a configuration example of the replacement service providing device 1 according to the embodiment will be described with reference to Fig. 2. Fig. 2 is a diagram showing a configuration example of the replacement service providing device 1 according to the embodiment. As shown in Fig. 2, the replacement service providing device 1 has a communication unit 2, a controller 3, and a storage unit 4. The storage unit 4 stores driving history information 41, user information 42, and map information 43.

[0025] The communication unit 2 is realized by, for example, a network interface card (NIC), etc. The communication unit 2 is connected to a network by wire or wirelessly.

[0026] The controller 3 is realized by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) executing various programs stored in a storage device inside the replacement service providing device 1 using a RAM or the like as a working area. The controller 3 may also be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

[0027] The storage unit 4 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

[0028] The driving history information 41 is information that indicates the driving history when the operating vehicle 300 travels along a driving route. Fig. 3 is a diagram showing an example of the driving history information 41. As shown in Fig. 3, the driving history information 41 includes items such as "vehicle ID," "owner," and "driving history information."

[0029] "Vehicle ID" is identification information for identifying the operating vehicle 300. "Owner" is information for identifying the manager who owns (manages) the operating vehicle 300, and for example, the user ID of the user information 42 shown in FIG. 4 is input. "Driving performance information" is performance information related to the driving of the operating vehicle 300 when it travels along the driving route. The driving performance information includes the instantaneous value of the fuel injection amount while it is traveling along the driving route.

[0030] The user information 42 is information about a user who is the manager of the operating vehicle 300. Fig. 4 is a diagram showing an example of the user information 42. As shown in Fig. 4, the user information 42 includes items such as "user ID," "owned vehicle," and "CO2 reduction target."

[0031] "User ID" is identification information that identifies the user who is the manager of the operating vehicle 300. "Owned vehicle" is identification information that identifies the operating vehicle 300 managed by the user who is the manager, and for example, the vehicle ID shown in Figure 3 is input. "CO2 reduction target" is, for example, the CO2 reduction amount that is the target set by the manager. Note that the CO2 reduction target is an example of the target substitution effect.

[0032] The map information 43 is information related to a map. The map information 43 includes road information about the roads on which the operating vehicle 300 travels, area type information, etc. The road information includes, for example, gradient information, traffic congestion history information, etc. The area type information includes, for example, residential areas, in front of train stations, etc.

[0033] Next, the processing executed by the controller 3 will be described.

[0034] The controller 3 collects driving history information via the network N. The controller 3 determines the operating vehicles 300 from which driving history information is to be collected. The operating vehicles 300 from which driving history information is to be collected are vehicles that need to be replaced. For example, the replacement service providing device 1 determines the operating vehicles 300 whose total driving distance is equal to or greater than a threshold, or the operating vehicles 300 whose number of years since purchase (manufacture) is equal to or greater than a threshold, as the operating vehicles from which driving history information is to be collected.

[0035] The controller 3 also collects driving history information of the traveling vehicles 300 determined as the collection targets. The driving history information includes, for example, the instantaneous value of the fuel injection amount while traveling along the travel route.

[0036] Furthermore, the controller 3 calculates the actual fuel efficiency for the travel route based on the collected travel performance information. Specifically, the controller 3 divides the travel route into a plurality of sections and calculates the actual fuel efficiency for each section. The sections can be divided by any method, such as by distance, by road type (general road, expressway, etc.), or by bus stop. The controller 3 then calculates the fuel consumption amount from the instantaneous value of the fuel injection amount, and calculates the actual fuel efficiency for each section based on the fuel consumption amount.

[0037] Next, the controller 3 estimates the substitution effect, which is the effect obtained when a gasoline vehicle is replaced with an electric vehicle, based on the calculated fuel economy performance. For example, the controller 3 estimates the amount of carbon dioxide (CO2) reduction that results from replacing a gasoline vehicle with an electric vehicle as the substitution effect. Specifically, the controller 3 estimates the substitution effect based on the electricity cost information and fuel economy performance of the electric vehicle to be purchased. The electricity cost information may be, for example, test data made public by the manufacturer of the electric vehicle, or electricity cost data when the electric vehicle is actually driven. Here, a detailed calculation method for the amount of CO2 reduction, which is the substitution effect, will be described with reference to FIG. 5.

[0038] Fig. 5 is a diagram for explaining a method for calculating the amount of CO2 reduction, which is the substitution effect. Fig. 5 explains the substitution effect of each of the first vehicle and the second vehicle, which are operating vehicles 300. It is assumed that the first vehicle and the second vehicle are traveling on different travel routes.

[0039] In the example shown in Figure 5, the first vehicle travels a 105 km route and emits 10 kg of CO2. The second vehicle travels a 95 km route and emits 10 kg of CO2. The CO2 emissions can be calculated using a known calculation method based on the actual fuel economy.

[0040] As shown in FIG. 5, the controller 3 divides the driving route from leaving the depot to returning to the depot into multiple sections for each of the first vehicle and the second vehicle. In the example shown in FIG. 5, the route for the first vehicle is divided into seven sections, and the route for the second vehicle is divided into five sections. The controller 3 sets an effect coefficient for each divided section. Specifically, the controller 3 calculates the difference between the electricity consumption information and the actual fuel economy for each section, and determines the effect coefficient for each section based on the difference. For example, if the difference is equal to or greater than a first threshold, the controller 3 sets the replacement effect to "large" and the effect coefficient to "0.5." If the difference is less than the first threshold and equal to or greater than a second threshold, the controller 3 sets the replacement effect to "medium" and the effect coefficient to "0.3." If the difference is less than the second threshold, the controller 3 sets the replacement effect to "small" and the effect coefficient to "0.1."

[0041] 5, for example, of the 105 km driving route of the first vehicle, the total length of sections where the effect is set to "large" is 15 km, the total length of sections where the effect is set to "medium" is 50 km, and the total length of sections where the effect is set to "small" is 40 km. Also, of the 95 km driving route of the second vehicle, the total length of sections where the effect is set to "large" is 60 km, the total length of sections where the effect is set to "medium" is 35 km, and the total length of sections where the effect is set to "small" is 0 km.

[0042] In this case, the controller 3 calculates the CO2 reduction amount, which is the replacement effect when replacing a gasoline vehicle with an electric vehicle, as follows.

[0043] That is, if the CO2 reduction amount for the first vehicle is A1, then A1 = (15 x 0.5 + 50 x 0.3 + 40 x 0.1) x 10 / 105 = 2.52 kg. Also, if the CO2 reduction amount for the second vehicle is A2, then A2 = (60 x 0.5 + 35 x 0.3 + 0 x 0.1) x 10 / 95 = 4.26 kg. In other words, when comparing the first and second vehicles, the second vehicle has a greater CO2 reduction amount, in other words, a greater substitution effect.

[0044] In this way, the controller 3 divides the travel route into sections, sets an effect coefficient for each section, and estimates the replacement effect, thereby making it possible to estimate the replacement effect in more detail by dividing the route into sections.

[0045] In the example shown in Figure 5, the second vehicle travels through a section (10 km) in which the effect is greatest, and this section is a residential area. In other words, the second vehicle travels through a section in a specific environment where the effects of noise and exhaust gases associated with travel are significant. In other words, the second vehicle traveling through a residential area is likely to benefit more from switching from a gasoline-powered vehicle to an electric vehicle. For this reason, the controller 3 corrects the estimated replacement effect based on the surrounding environment along the travel route.

[0046] Specifically, when the surrounding environment of the travel route includes a specific environment with a high replacement effect, the controller 3 increases the effect coefficient of the section of the specific environment. For example, when a section of a specific environment is partially included in a section with a high effect, the controller 3 increases the effect coefficient of the section with a high effect higher than the effect coefficient of the section with a high effect.

[0047] For example, when the controller 3 sets the effect coefficient of the specific environment section to be 10% higher than the effect coefficient of the large effect, the replacement effect of the second vehicle is corrected as follows: Specifically, of the 60 km of large effect traveled by the second vehicle, the effect coefficient of the 10 km section of the specific environment is corrected to be 10% higher.

[0048] That is, the CO2 reduction amount A2 of the second vehicle is corrected to A2=(50×0.5+10×0.5×1.1+35×0.3+0×0.1)×10 / 95=4.32 kg.

[0049] In this way, the controller 3 corrects the replacement effect based on the surrounding environment of the travel route, thereby making it possible to estimate the replacement effect adapted to the surrounding environment with high accuracy.

[0050] Next, the controller 3 outputs information on the estimated replacement effect to the administrator terminal 200. For example, the controller 3 provides the administrator terminal 200 with a list of CO2 reduction amounts for each operating vehicle 300. As a result, the administrator terminal 200 displays the list of CO2 reduction amounts for each operating vehicle 300 on a screen. Here, examples of screen displays on the administrator terminal 200 will be described with reference to FIGS. 6 and 7.

[0051] 6 and 7 are diagrams showing examples of screen displays provided by the replacement service providing device 1. Fig. 6 shows a screen displaying information based on the driving performance information for each operating vehicle 300, and Fig. 7 shows a screen displaying the replacement effect.

[0052] In the example shown in FIG. 6, information such as "Vehicle Number," "Date," "Fuel / Electricity," "CO2," "Location," "Distance Traveled," and "CO2 Emissions" is displayed on the administrator terminal 200. "Vehicle Number" is identification information for identifying the in-service vehicle 300, and the vehicle ID shown in FIG. 3 is input. "Date" indicates the date on which the in-service vehicle 300 traveled the travel route. "Fuel / Electricity" indicates the amount of fuel or electricity supplied to the in-service vehicle 300. Note that in FIG. 6, vehicle number "001" indicates the case where electricity was supplied, and vehicle number "002" indicates the case where fuel was supplied. "CO2" indicates the amount of CO2 emissions due to fueling or electricity supply. "Location" is information indicating the location on the travel route (for buses, the route name, etc.). "Distance Traveled" indicates the actual distance traveled along the travel route. "CO2 Emissions" indicates the amount of CO2 emitted when traveling along the travel route.

[0053] In this way, the controller 3 displays information based on the driving performance information for each of the operating vehicles 300 on the screen, so that the user who is the manager can easily grasp the current status of each of the operating vehicles 300.

[0054] 7, a screen showing the effect of replacing a gasoline-powered vehicle with an electric vehicle is displayed on the administrator terminal 200 for each operating vehicle 300. That is, the controller 3 displays the effect of CO2 reduction when replacing a gasoline-powered vehicle with an electric vehicle on the screen for each operating vehicle 300. The effect of CO2 reduction can be calculated as the ratio of the CO2 reduction target (see FIG. 4) to the CO2 reduction amount described above.

[0055] In this way, the controller 3 displays the replacement effect for each of the operating vehicles 300, so that the user can grasp the replacement effect for each of the operating vehicles 300.

[0056] Furthermore, the controller 3 also displays the ratio of the total replacement effect of all the operating vehicles 300, and displays the number of chargers (charging facilities) required if all the operating vehicles 300 are replaced with electric vehicles. This allows the user to easily grasp the total replacement effect if all the operating vehicles 300 are replaced, and also the number of charging facilities required in that case.

[0057] The required number of charging facilities can be calculated, for example, based on the number of replacement vehicles and driving history information of the multiple replacement vehicles 300. Specifically, the controller 3 determines whether or not the power supply time required to charge the required amount of charge can be secured based on the available stopping time of each of the multiple replacement vehicles 300 (e.g., the time from returning to the depot to leaving the depot). If the power supply time can be secured, the controller 3 identifies the number of vehicles 300 whose power supply timing overlaps with the secured power supply time, and specifies the same number of charging facilities as the required number. For any vehicle 300 for which the power supply time required to charge the required amount of charge cannot be secured, the controller 3 notifies the manager that the operation schedule needs to be changed.

[0058] Furthermore, the controller 3 determines the battery capacity of the battery to be installed in the electric vehicle based on the determined required number of charging facilities and the driving history information. Specifically, the controller 3 determines the battery capacity that is sufficient to travel the distance along the driving route from the previous charge to the next charge. At this time, the controller 3 may determine the battery capacity that is sufficient to travel the distance by adding a margin to the battery capacity that is sufficient to travel the distance, taking into account battery degradation. The controller 3 then provides the determined battery capacity to the manager.

[0059] In this way, the controller 3 determines the battery capacity based on the required number of charging facilities and the driving performance information, thereby preventing the battery capacity from being larger than necessary, thereby reducing the costs associated with purchasing a vehicle.

[0060] 7, when the ratio of the total replacement effect of all of the operating vehicles 300 exceeds the CO2 reduction target, the controller 3 displays a numerical value of 100% or more. Alternatively, the controller 3 may display the number of replacement vehicles 300 for which the CO2 reduction target is 100% (or a numerical value equal to or greater than 100% and closest to 100%). That is, the controller 3 calculates the number of replacement vehicles that satisfies the target replacement effect set by the user based on the replacement effect of each of the multiple gasoline vehicles, and provides information on the number of replacement vehicles to the user.

[0061] This allows the controller 3 to provide the user with the minimum number of replacements required to achieve the target replacement effect.

[0062] 7, the controller 3 displays the CO2 reduction effect for each operating vehicle 300 on the screen, but the display order may be arranged in descending order of CO2 reduction effect. In other words, the controller 3 sets a higher priority for replacement with an electric vehicle as the CO2 reduction effect increases, and displays the operating vehicles 300 in descending order of priority. This allows the user to understand which operating vehicles 300 should be replaced with electric vehicles as a priority.

[0063] Furthermore, at this time, when there are multiple operating vehicles 300 with the same CO2 reduction effect or where the difference in CO2 reduction effect is less than a threshold, the controller 3 determines the priority based on the driving history information. Specifically, the controller 3 gives higher priority to an operating vehicle 300 that gets on and off many passengers at bus stops or a large number of bus stops it stops at (i.e., the number of stops at bus stops). In this way, the controller 3 can give higher priority to an operating vehicle 300 whose driving history information is estimated to have a high replacement effect obtained by replacing it with an electric vehicle.

[0064] Next, a processing procedure of the processing executed by the replacement service providing device 1 according to the embodiment will be described with reference to Fig. 8. Fig. 8 is a flowchart showing the processing procedure of the processing executed by the replacement service providing device 1 according to the embodiment. Note that the processing shown in Fig. 8 is performed for each operating vehicle 300.

[0065] 8, the controller 3 determines whether or not the in-service vehicle 300 is a vehicle to be replaced (step S101). For example, the controller 3 determines, as a vehicle to be replaced, a vehicle 300 whose total mileage is equal to or greater than a threshold, or a vehicle 300 whose number of years since purchase (manufacture) is equal to or greater than a threshold.

[0066] Next, if the in-service vehicle 300 is a vehicle to be replaced (step S101: Yes), the controller 3 collects driving history information of the in-service vehicle 300 (step S102). If the in-service vehicle 300 is not a vehicle to be replaced (step S101: No), the controller 3 ends the process.

[0067] Next, the controller 3 divides the travel route into a plurality of sections, and calculates the actual fuel economy for a section selected from the plurality of divided sections based on the actual travel information (step S103).

[0068] Next, the controller 3 estimates the substitution effect obtained when the operating vehicles 300 in the selected section are substituted from gasoline vehicles to electric vehicles, based on the fuel efficiency record of the selected section (step S104).

[0069] Next, the controller 3 determines whether or not the selected section includes a section of a specific environment (step S105).

[0070] If the section of the specific environment is included in part (step S105: Yes), the controller 3 corrects the replacement effect of the section of the specific environment (step S106). If the section of the specific environment is not included (step S105: No), the controller 3 proceeds to step S107.

[0071] In step S107, the controller 3 determines whether or not estimation of the substitution effect has been completed for all sections divided in the travel route (step S107).

[0072] If the estimation of the substitution effect for all sections is completed (step S107: Yes), the controller 3 aggregates the substitution effects for all sections and estimates the substitution effect for the entire travel route (step S108). If the estimation of the substitution effect for all sections is not completed (step S107: No), that is, if there is a section for which the substitution effect has not been estimated, the controller 3 returns to step S103.

[0073] Next, the controller 3 provides information on the estimated replacement effect of the entire travel route to the user who is the manager of the traveling vehicle 300 (step S109), and ends the process.

[0074] As described above, the replacement service providing device 1 according to the embodiment has the controller 3. The controller 3 collects driving performance information indicating the driving performance of a plurality of gasoline vehicles, calculates the fuel efficiency performance on the driving route for each gasoline vehicle based on the driving performance information, estimates the replacement effect, which is the effect, for each gasoline vehicle, and provides the estimated replacement effect to the manager of the gasoline vehicle.

[0075] According to the present disclosure, the replacement service providing device 1 calculates fuel efficiency results from actual driving performance information for each vehicle and estimates the replacement effect from gasoline vehicles to electric vehicles for each vehicle, allowing the administrator user to grasp the replacement effect for each vehicle.

[0076] Further advantages and modifications will readily occur to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents. [Explanation of symbols]

[0077] 1 Replacement service providing device 2. Communications Department 3 Controller 4 Storage section 41 Driving record information 42 User Information 43 Map Information 100 Traffic control server 200 Administrator terminal 300 operating vehicles N Network S Information Processing System

Claims

1. a controller; The controller Collect driving performance information indicating the driving performance of a plurality of gasoline vehicles, calculate fuel efficiency performance for each of the gasoline vehicles on a driving route based on the driving performance information, estimate the replacement effect obtained when the gasoline vehicles are replaced with electric vehicles based on the fuel efficiency performance for each of the gasoline vehicles, and provide the estimated replacement effect to a manager of the gasoline vehicles. Information processing device.

2. The controller Dividing the travel route into a plurality of sections, and estimating the substitution effect for each section based on the actual fuel economy for each section. The information processing device according to claim 1 .

3. The controller correcting the estimated replacement effect based on a surrounding environment on the travel route; The information processing device according to claim 1 .

4. The controller determining a priority of replacement with the electric vehicle based on the replacement effect of each of the plurality of gasoline vehicles; The information processing device according to claim 1 .

5. The gasoline vehicle is a commercial vehicle in which passengers get on and off at a plurality of points defined on the travel route, The controller determining the priority based on the replacement effect, the number of passengers getting on and off at the point, and the number of stops at the point; The information processing device according to claim 4 .

6. The controller calculating a number of replacement vehicles that satisfies a target replacement effect determined by the manager based on the replacement effect of each of the plurality of gasoline vehicles, and providing information on the number of replacement vehicles to the manager; The information processing device according to claim 1 .

7. The controller estimating the number of charging facilities required for charging the electric vehicles based on the number of replacement vehicles and the driving record information, and providing information on the required number to the manager; The information processing device according to claim 6 .

8. The controller determining a battery capacity to be installed in the electric vehicle based on the required number and the driving performance information, and providing information on the determined battery capacity to the manager; The information processing device according to claim 7 .

9. 1. A computer-implemented information processing method, comprising: a step of collecting driving performance information indicating the driving performance of a plurality of gasoline vehicles, calculating the fuel efficiency performance of each gasoline vehicle on a driving route based on the driving performance information, estimating the replacement effect obtained when the gasoline vehicle is replaced with an electric vehicle based on the fuel efficiency performance for each gasoline vehicle, and providing the estimated replacement effect to a manager of the gasoline vehicles; An information processing method including:

Images