Information processing apparatus
The information processing device calculates carbon emissions for each shipper's cargo using weight, volume, or density parameters, addressing the challenge of attributing emissions to individual shippers within logistics operations.
Patent Information
- Application Number
- JP2024023191
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-02-19
- Publication Date
- 2025-08-29
AI Technical Summary
Logistics companies face challenges in understanding the contribution of individual shippers' cargo transportation to carbon emissions, especially when handling multiple shipping requests.
An information processing device that calculates carbon emissions for each group of luggage based on acquired data and parameters such as weight, volume, or density, allowing precise determination of emission contributions for each shipper.
Enables accurate assessment of carbon emissions for each shipper's cargo, facilitating compliance with reporting requirements and environmental accountability.
Smart Images

Figure 2025126779000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to an information processing device. [Background technology]
[0002] Logistics companies are sometimes required to report the carbon emissions of their vehicles. For example, designated shippers with freight transport volumes of 30 million ton-kilometers or more are obligated to periodically report their carbon emissions to the Environment Agency. A commercial transaction system is known that associates exhaust gases emitted from automobile engines with the owners and users of automobiles (Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-252617 Summary of the Invention [Problem to be solved by the invention]
[0004] Incidentally, there are cases where a single logistics company receives requests for transporting cargo from multiple shippers. In such cases, it would be useful to be able to understand the extent to which the transportation of cargo for each shipper contributed to carbon emissions.
[0005] The purpose of the present disclosure, made in light of the above, is to understand, for each shipper, the extent to which the transportation of that shipper's cargo has contributed to carbon emissions. [Means for solving the problem]
[0006] An information processing device according to one embodiment of the present disclosure includes a control unit that acquires carbon emission data of a vehicle and a plurality of parameters that correlate with the weight of each of a plurality of groups of luggage transported by the vehicle, the plurality of groups of luggage including at least one piece of luggage, and the control unit calculates the carbon emission amount for each of the plurality of groups of luggage based on the carbon emission data of the vehicle and the plurality of parameters. [Effects of the Invention]
[0007] According to one embodiment of the present disclosure, it is possible to grasp, for each shipper, the extent to which the transportation of the shipper's cargo has contributed to carbon emissions. [Brief explanation of the drawings]
[0008] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a system according to an embodiment of the present disclosure. [Figure 2] 2 is a flowchart showing an example of the operation of the system shown in FIG. 1. [Figure 3] FIG. 1 is a diagram illustrating an example of a route from a departure point to a destination. [Figure 4] FIG. 10 is a diagram showing another example of a route from a departure point to a destination. DETAILED DESCRIPTION OF THE INVENTION
[0009] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.
[0010] (System configuration example) As shown in Fig. 1, the system 1 according to this embodiment includes a vehicle 10 and an information processing device 20. In Fig. 1, the number of vehicles 10 included in the system 1 is one. However, the system 1 may include multiple vehicles 10.
[0011] The vehicle 10 and the information processing device 20 can communicate with each other via a network 2. The network 2 may be any network including a mobile communication network, the Internet, and the like.
[0012] The vehicle 10 is used, for example, by a logistics company. The vehicle 10 is, for example, a freight truck. However, the vehicle 10 may be any type of vehicle as long as it is capable of transporting cargo.
[0013] Vehicle 10 transports multiple packages from a departure point to a destination point, as shown in FIG. 3 or FIG. 4 described below. A package group includes at least one package. A package group is set for each shipper. That is, a package group may be a collection of packages for each shipper. A shipper is also a client who requests a logistics company that uses vehicle 10 to transport their package. The route from the departure point to the destination point may include one or more stopover points, as shown in FIG. 4 described below. Vehicle 10 may transport a package group from the departure point to a stopover point or a destination point, or may transport a package group from a stopover point to another stopover point or a destination point, depending on the request of the shipper.
[0014] Vehicle 10 includes a communication device 11 and an electronic control unit 16. Communication device 11 and electronic control unit 16 can communicate with each other via an in-vehicle network such as a CAN (Controller Area Network) or a dedicated line. Communication device 11 includes a communication unit 12, a positioning unit 13, a storage unit 14, and a control unit 15. However, communication device 11 does not necessarily have to include positioning unit 13.
[0015] The communication unit 12 is configured to include at least one communication module connectable to the network 2. The communication module is a communication module compatible with mobile communication standards such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation).
[0016] The communication unit 12 includes at least one communication module capable of communicating with components of the vehicle 10, such as the electronic control unit 16. The communication module is a communication module that complies with the standards of an in-vehicle network such as CAN or a dedicated line.
[0017] The positioning unit 13 can acquire position information of the vehicle 10. The positioning unit 13 includes at least one receiving module compatible with a satellite positioning system. The receiving module is, for example, a receiving module compatible with the GPS (Global Positioning System).
[0018] The storage unit 14 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of these. The semiconductor memory is, for example, a random access memory (RAM) or a read-only memory (ROM). The RAM is, for example, a static random access memory (SRAM) or a dynamic random access memory (DRAM). The ROM is, for example, an electrically erasable programmable read-only memory (EEPROM). The storage unit 14 may function as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 14 stores data used in the operation of the communication device 11 and data obtained by the operation of the communication device 11. The storage unit 14 may store any program used in the operation of the communication device 11. For example, the storage unit 14 stores at least one of a system program, an application program, and embedded software.
[0019] The control unit 15 is configured to include at least one processor, at least one dedicated circuit, or a combination of these. The processor is, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit). The control unit 15 controls each part of the communication device 11 and executes processes related to the operation of the communication device 11.
[0020] The electronic control unit 16 is an ECU (Electronic Control Unit) of the vehicle 10. The electronic control unit 16 controls various functions of the vehicle 10.
[0021] The information processing device 20 is a dedicated computer configured to function as a server, a general-purpose personal computer, a cloud computing system, or the like.
[0022] The information processing device 20 is managed, for example, by a logistics company that uses the vehicle 10. As will be described later, the information processing device 20 calculates the carbon emissions for each of multiple groups of luggage transported by the vehicle 10. In this embodiment, the carbon emissions for a group of luggage are, for example, when the vehicle 10 transports multiple groups of luggage, the carbon emissions emitted by the vehicle 10 that are considered to have contributed to the transportation of the groups of luggage.
[0023] The information processing device 20 includes a communication unit 21, a storage unit 22, and a control unit 23.
[0024] The communication unit 21 is configured to include at least one communication module connectable to the network 2. The communication module is, for example, a communication module compatible with standards such as a wired LAN (Local Area Network) or a wireless LAN. The communication unit 21 is connected to the network 2 via the wired LAN or wireless LAN by the communication module.
[0025] The storage unit 22 is configured to include at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of these. The semiconductor memory is, for example, a RAM or a ROM. The RAM is, for example, an SRAM or a DRAM. The ROM is, for example, an EEPROM. The storage unit 22 may function as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 22 stores data used in the operation of the information processing device 20 and data obtained by the operation of the information processing device 20. The storage unit 22 may store any program used in the operation of the information processing device 20. For example, the storage unit 22 stores at least one of a system program, an application program, embedded software, etc.
[0026] For example, a plurality of parameters are stored in the storage unit 22. The plurality of parameters are parameters correlated with the weights of the plurality of packages transported by the vehicle 10.
[0027] As an example, the parameters may indicate the weight of each of a plurality of groups of luggage, and the weight of a group of luggage may be the sum of the weights of the luggage included in the group of luggage.
[0028] As another example, the parameters may indicate the volume of each of the plurality of luggage groups. The volume of a luggage group may be the sum of the volumes of the luggage included in the luggage group. Here, the larger the volume of a luggage, the heavier the luggage may be. Therefore, it can be said that the volume of a luggage group is correlated with the weight of the luggage group.
[0029] As yet another example, the multiple parameters may indicate the density of each of the multiple groups of luggage. The density of a group of luggage may be the average value of the densities of the luggage included in the group of luggage, or may be the sum of the densities of the luggage included in the group of luggage. Here, the greater the density of the luggage, the heavier the luggage may be. Therefore, it can be said that the density of a group of luggage is correlated with the weight of the group of luggage.
[0030] The control unit 23 is configured to include at least one processor, at least one dedicated circuit, or a combination of these. The processor is, for example, a general-purpose processor such as a CPU or GPU, or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, an FPGA or ASIC. The control unit 23 executes processes related to the operation of the information processing device 20 while controlling each unit of the information processing device 20.
[0031] (Example of system operation) Fig. 2 is a flowchart showing an example of the operation of the system 1 shown in Fig. 1. For example, when the vehicle 10 departs from the departure point, the system 1 starts the process of S1.
[0032] In the process of S1, the control unit 15 of the communication device 11 of the vehicle 10 acquires the location information of the vehicle 10 and data on the amount of carbon emissions.
[0033] As a process for acquiring the location information of the vehicle 10, the control unit 15 acquires the location information of the vehicle 10 by the positioning unit 13. However, if the communication device 11 does not have the positioning unit 13, for example, the control unit 15 may acquire the location information of the vehicle 10 by receiving it from the electronic control unit 16 by the communication unit 12.
[0034] As a process for acquiring data on carbon emissions of the vehicle 10, the control unit 15 may acquire the data by calculating the carbon emissions of the vehicle 10. The control unit 15 may calculate the carbon emissions of the vehicle 10, for example, using the fuel consumption method, the fuel economy method, or the improved ton-kilometer method. The control unit 15 may receive any data used to calculate the carbon emissions from the electronic control unit 16 via the communication unit 12. For example, in the fuel consumption method, the carbon emissions of the vehicle 10 are calculated using data on the fuel consumption of the vehicle 10. Therefore, when calculating carbon emissions using the fuel consumption method, the control unit 15 receives data on the fuel consumption of the vehicle 10 from the electronic control unit 16 via the communication unit 12. Furthermore, in the fuel economy method, the carbon emissions of the vehicle 10 are calculated using data on the mileage of the vehicle 10. Therefore, when calculating carbon emissions using the fuel economy method, the control unit 15 receives data on the mileage of the vehicle 10 from the electronic control unit 16 via the communication unit 12.
[0035] In the process of S2, the control unit 15 transmits the position information of the vehicle 10 and the data of the carbon emission amount of the vehicle 10 acquired in the process of S1 to the information processing device 20 via the network 2 by the communication unit 12.
[0036] In the processing of S3, the control unit 23 of the information processing device 20 receives, via the network 2, the location information of the vehicle 10 and data on carbon emissions of the vehicle 10 from the vehicle 10 by the communication unit 21. In the present embodiment, the control unit 23 acquires the location information of the vehicle 10 and the data on carbon emissions of the vehicle 10 by receiving the location information of the vehicle 10 and the data on carbon emissions of the vehicle 10 from the vehicle 10. However, the control unit 23 may acquire the location information of the vehicle 10 and the data on carbon emissions of the vehicle 10 by any method. For example, the control unit 23 may acquire the data on carbon emissions of the vehicle 10 by calculating the data on carbon emissions of the vehicle 10 in the same manner as or similar to the control unit 15 in the processing of S1 as described above. The control unit 23 stores the received location information of the vehicle 10 and the data on carbon emissions of the vehicle 10 in the memory unit 22.
[0037] Here, the communication device 11 repeatedly executes the processes of S1 and S2 at predetermined time intervals until the vehicle 10 arrives at the destination. The predetermined time may be set based on the average speed of the vehicle 10, etc. As the communication device 11 repeatedly executes the processes of S1 and S2, the control unit 23 in the information processing device 20 repeatedly executes the process of S3 and repeatedly receives the position information of the vehicle 10 and data on the carbon emission amount of the vehicle 10.
[0038] The process of S4 is executed after the vehicle 10 arrives at the destination. The control unit 23 of the information processing device 20 detects that the vehicle 10 has arrived at the destination from the position information of the vehicle 10 received in the process of S3, for example.
[0039] In the process of S4, the control unit 23 acquires a plurality of parameters from the storage unit 22.
[0040] In the process of S5, the control unit 23 calculates the carbon emission amount for each of the multiple luggage groups based on the carbon emission amount data acquired in the process of S3 and the multiple parameters acquired in the process of S4. An example of the process of S5 will be described below.
[0041] [Example 1] When multiple parameters indicate the respective weights of multiple luggage groups, the control unit 23 may calculate the weight ratio of the multiple luggage groups using the multiple parameters. The control unit 23 may calculate the carbon emissions for each of the multiple luggage groups based on the carbon emission data for the vehicle 10 and the weight ratio of the multiple luggage groups. By using the weight ratio of the multiple luggage groups in this way, the carbon emissions for each of the multiple luggage groups can be calculated with high accuracy.
[0042] For example, as shown in FIG. 3, assume that vehicle 10 transports groups of luggage 3A and 3B from the departure point to the destination. Also assume that the carbon emissions from the departure point to the destination are 100 [kg-CO2 / kWh], the weight of luggage group 3A is 25 [kg], and the weight of luggage group 3B is 100 [kg]. In this case, control unit 23 calculates that the weight ratio of luggage groups 3A and 3B is (baggage group 3A:baggage group 3B = 1:4). Furthermore, control unit 23 calculates that the carbon emissions of luggage group 3A are 20 [kg-CO2 / kWh], and the carbon emissions of luggage group 3B are 80 [kg-CO2 / kWh].
[0043] [Example 2] When multiple parameters indicate the respective volumes of multiple luggage groups, the control unit 23 may calculate the volume ratio of the multiple luggage groups using the multiple parameters. The control unit 23 may calculate the carbon emissions for each of the multiple luggage groups based on the carbon emission data of the vehicle 10 and the volume ratio of the multiple luggage groups. By using the volume ratio of the multiple luggage groups in this way, it is possible to calculate the carbon emissions for each of the multiple luggage groups even if, for example, the weights of the multiple luggage groups are unknown.
[0044] [Example 3] When multiple parameters indicate the density of each of the multiple luggage groups, the control unit 23 may calculate a density ratio of the multiple luggage groups based on the multiple parameters. The control unit 23 may calculate the carbon emission amount for each of the multiple luggage groups based on the carbon emission data of the vehicle 10 and the density ratio of the multiple luggage groups.
[0045] [Example 4] The route of vehicle 10 from the departure point to the destination may include sections in which at least some of the multiple luggage groups transported by vehicle 10 are transported. For example, in FIG. 4, vehicle 10 transports luggage groups 3C, 3D, and 3E as the multiple luggage groups. Furthermore, the route of vehicle 10 from the departure point to the destination includes sections T1, T2, and T3. Section T1 is the section from the departure point to the first relay point. Section T2 is the section from the first relay point to the second relay point. Section T3 is the section from the second relay point to the destination. Of luggage groups 3C, 3D, and 3E, vehicle 10 transports luggage groups 3C and 3D in section T1. Of luggage groups 3C, 3D, and 3E, vehicle 10 transports luggage groups 3C, 3D, and 3E in section T2. Of luggage groups 3C, 3D, and 3E, vehicle 10 transports luggage groups 3C and 3E in section T3.
[0046] When the route from the departure point to the destination of the vehicle 10 includes a section such as the one described above, the control unit 15 acquires data on the carbon emissions of the vehicle 10 for that section based on the location information and carbon emission data of the vehicle 10 acquired in the processing of S3. Furthermore, the control unit 15 calculates the carbon emissions for each of the multiple groups of luggage transported in that section based on the carbon emission data of the vehicle 10 for that section and multiple parameters correlated with the weight of each of the multiple groups of luggage transported in that section.
[0047] For example, in FIG. 4, the control unit 15 acquires the carbon emission amount of 100 [kg-CO2 / kWh] for section T1. The control unit 15 acquires the carbon emission amount of 300 [kg-CO2 / kWh] for section T2. The control unit 15 acquires the carbon emission amount of 200 [kg-CO2 / kWh] for section T3. Also, in FIG. 3, the parameter correlated with the weight of luggage group 3C indicates 300 [kg], which is the weight of luggage group 3C. The parameter correlated with the weight of luggage group 3D indicates 200 [kg], which is the weight of luggage group 3C. The parameter correlated with the weight of luggage group 3E indicates 500 [kg], which is the weight of luggage group 3E.
[0048] For example, in section T1 in Fig. 4, the control unit 15 calculates that the weight ratio of the luggage groups 3C and 3D is (luggage group 3C:luggage group 3D = 3:2) based on the parameters of the luggage groups 3C and 3D. The control unit 15 calculates that the carbon emissions of the luggage group 3C in section T1 are 60 [kg-CO2 / kWh] based on the carbon emissions of 100 [kg-CO2 / kWh] in section T1 and the weight ratio of the luggage groups 3C and 3D. The control unit 15 also calculates that the carbon emissions of the luggage group 3D in section T1 are 40 [kg-CO2 / kWh].
[0049] For example, in section T2 in FIG. 4, the control unit 15 calculates, based on the parameters of the luggage groups 3C, 3D, and 3E, that the weight ratio of the luggage groups 3C, 3D, and 3E is (luggage group 3C:luggage group 3D:luggage group 3E = 3:2:5). The control unit 15 calculates, based on the carbon emission amount of 300 [kg-CO2 / kWh] in section T2 and the weight ratio of the luggage groups 3C, 3D, and 3E, that the carbon emission amount of the luggage group 3C in section T2 is 90 [kg-CO2 / kWh]. The control unit 15 also calculates that the carbon emission amount of the luggage group 3D in section T2 is 60 [kg-CO2 / kWh]. The control unit 15 also calculates that the carbon emission amount of the luggage group 3E in section T2 is 150 [kg-CO2 / kWh].
[0050] 4, the control unit 15 calculates that the weight ratio of the luggage groups 3C and 3E is (luggage group 3C:luggage group 3E = 3:5) based on the parameters of the luggage groups 3C and 3E. The control unit 15 calculates that the carbon emissions of the luggage group 3C in section T3 are 75 [kg-CO2 / kWh] based on the carbon emissions of 200 [kg-CO2 / kWh] in section T3 and the weight ratio of the luggage groups 3C and 3E. The control unit 15 also calculates that the carbon emissions of the luggage group 3E in section T3 are 125 [kg-CO2 / kWh].
[0051] The control unit 15 calculates the carbon emission amount for each of the plurality of luggage groups based on the calculation results of the carbon emission amount for each of the plurality of luggage groups in the section.
[0052] For example, in the case of luggage group 3C, the control unit 15 adds together the carbon emissions of luggage group 3C in section T1 (60 [kg-CO2 / kWh]), luggage group 3C in section T2 (90 [kg-CO2 / kWh]), and luggage group 3C in section T3 (75 [kg-CO2 / kWh]). The control unit 15 calculates that the carbon emissions of luggage group 3C is 225 [kg-CO2 / kWh].
[0053] For example, in the case of luggage group 3D, the control unit 15 adds the carbon emissions of luggage group 3D in section T1, which is 40 [kg-CO2 / kWh], to the carbon emissions of luggage group 3D in section T2, which is 60 [kg-CO2 / kWh]. The control unit 15 calculates that the carbon emissions of luggage group 3D is 100 [kg-CO2 / kWh].
[0054] For example, in the case of luggage group 3E, the control unit 15 adds the carbon emissions of luggage group 3C in section T2, 150 [kg-CO2 / kWh], to the carbon emissions of luggage group 3E in section T3, 125 [kg-CO2 / kWh]. The control unit 15 calculates that the carbon emissions of luggage group 3E are 275 [kg-CO2 / kWh].
[0055] As described above, in the information processing device 20 according to this embodiment, the control unit 23 calculates the carbon emissions for each of the multiple cargo groups based on the carbon emission data for the vehicle 10 and multiple parameters correlated with the weight of each of the multiple cargo groups. By calculating the carbon emissions for each of the multiple cargo groups, even when transporting cargo for different shippers, it is possible to know the extent to which the cargo of each shipper contributed to the carbon emissions for each shipper.
[0056] Furthermore, in this embodiment, the route from the departure point to the destination of the vehicle 10 may include a section in which at least some of the multiple luggage groups transported by the vehicle 10 are transported. The control unit 23 may calculate the carbon emissions for each of the at least some of the multiple luggage groups in that section based on data on the carbon emissions of the vehicle 10 in that section and multiple parameters correlated with the weights of each of the at least some of the multiple luggage groups. With this configuration, it is possible to calculate the carbon emissions for each luggage group even if the route from the departure point to the destination of the vehicle 10 includes a stopover point where the luggage group is loaded onto or unloaded from the vehicle 10, as shown in FIG. 4.
[0057] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined or divided into one.
[0058] For example, in Example 4 described above with reference to Fig. 4, the multiple parameters correlated with the weights of the multiple luggage groups 3C, 3D, and 3D are described as indicating the weights of the multiple luggage groups 3C, 3D, and 3D. However, the multiple parameters correlated with the weights of the multiple luggage groups 3C, 3D, and 3D may be other parameters such as the volume of the multiple luggage groups 3C, 3D, and 3D.
[0059] For example, in the above-described embodiment, the multiple parameters correlated with the weight of each of the multiple parcel groups are described as indicating the weight, volume, or density of each of the multiple parcel groups. However, the multiple parameters are not limited to these as long as they correlate with the weight of each of the multiple parcel groups. As another example, the multiple parameters may be a combination of the volume and density of the multiple parcel groups.
[0060] For example, in the above-described embodiment, the configuration and operation of the information processing device 20 may be distributed among multiple computers that can communicate with each other. Also, for example, an embodiment in which some or all of the components of the information processing device 20 are provided in the vehicle 10 is also possible. For example, the communication device 11 of the vehicle 10 may include some or all of the components of the information processing device 20.
[0061] For example, an embodiment is also possible in which a general-purpose computer functions as the information processing device 20 according to the above-described embodiment. Specifically, a program describing the processing content for realizing each function of the information processing device 20 according to the above-described embodiment is stored in the memory of the general-purpose computer, and the program is read and executed by a processor. Therefore, the present disclosure can also be realized as a program executable by a processor, or a non-transitory computer-readable medium storing the program. [Explanation of symbols]
[0062] 1: System, 2: Network, 10: Vehicle, 11: Communication device, 12: Communication unit, 13: Positioning unit, 14: Memory unit, 15: Control unit, 16: Electronic control unit, 20: Information processing device, 21: Communication unit, 22: Memory unit, 23: Control unit, 3A, 3B, 3C, 3D, 3E: Baggage group, T1, T2, T3: Section
Claims
1. a control unit that acquires carbon emission data of the vehicle and a plurality of parameters that correlate to the weight of each of a plurality of packages transported by the vehicle, the plurality of packages including at least one package; The control unit calculates the carbon emission amount for each of the plurality of luggage groups based on the carbon emission data of the vehicle and the plurality of parameters.
2. the plurality of parameters indicate a weight of each of the plurality of packages; The control unit Calculating weight ratios of the plurality of luggage groups based on the plurality of parameters; The information processing device according to claim 1 , further comprising: calculating carbon emissions for each of the plurality of luggage groups based on data on carbon emissions of the vehicle and weight ratios of the plurality of luggage groups.
3. the plurality of parameters indicate a volume of each of the plurality of load groups; The control unit calculating a volume ratio of the plurality of luggage groups based on the plurality of parameters; The information processing device according to claim 1 , wherein the carbon emission amount for each of the plurality of luggage groups is calculated based on data on the carbon emission amount of the vehicle and a volume ratio of the plurality of luggage groups.
4. a route from a departure point to a destination point of the vehicle includes a section along which at least some of the plurality of baggage groups are transported; The control unit 4. An information processing device according to claim 1, wherein the carbon emissions for each of at least some of the plurality of luggage groups in the section are calculated using data on the carbon emissions of the vehicle in the section and a plurality of parameters correlated with the weight of each of the at least some of the plurality of luggage groups.
5. The information processing device according to claim 4 , wherein the control unit calculates the carbon emission amount for each of the plurality of groups of luggage transported by the vehicle based on a calculation result of the carbon emission amount for each of the at least some of the plurality of groups of luggage in the section.
Citation Information
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