Carbon dioxide emission amount calculation method, carbon dioxide emission amount calculation system, and program

Abstract

[Problem] To provide a vehicle inference method, a vehicle inference system, and a program, capable of inferring a vehicle classification of a transportation vehicle without checking the vehicle classification of the transportation vehicle, and of calculating, on the basis of the inferred vehicle classification, the emission amount of carbon dioxide. [Solution] This carbon dioxide emission amount calculation method is executed by a carbon dioxide emission amount calculation system for calculating the carbon dioxide emission amount to be discharged from freight automobile-vehicles which are cargo transportation means, and is provided with: a step for managing shipment data of cargo; a step for storing data of maximum loading capacities of respective vehicle classifications for the freight automobile-vehicles; a step for extracting, on the basis of the shipment data of cargo acquired from a management system, data of cargo to be transported to a prescribed delivery destination, aggregating, on the basis of the extracted data, the total weight of the cargo to be transported to the prescribed delivery destination, and acquiring data of the aggregated weight; a step for inferring, on the basis of the acquired data of the aggregated weight and the stored data of maximum loading capacities of respective vehicle classifications, a vehicle classification of one freight automobile-vehicle on which all the cargo to be transported to the prescribed delivery destination is to be loaded; and a step for calculating, on the basis of the inferred vehicle classification of the freight automobile-vehicle, the carbon dioxide emission amount to be discharged from the freight automobile-vehicle transporting the cargo.

Description

Carbon dioxide emission calculation method, carbon dioxide emission calculation system and program

[0001] The present invention relates to a technique that is effective for calculating the amount of carbon dioxide emitted from a means of transporting luggage.

[0002] Reducing carbon dioxide, a greenhouse gas, is required in business activities. Therefore, in logistics, there is also a need to efficiently calculate the carbon dioxide that may be generated in business activities such as logistics. For example, as in Non-Patent Document 1, a method has been devised to calculate carbon dioxide emissions using a fuel efficiency method based on the transportation distance traveled by a vehicle.

[0003] Utility Model Registration No. 3238695

[0004] Incidentally, in the case of transport vehicles, for example trucks, the amount of carbon dioxide emissions varies depending on the vehicle classification, such as individual vehicles, 2-ton vehicles, 4-ton vehicles, 10-ton vehicles, etc. Therefore, in order to understand the amount of carbon dioxide emissions generated by the transport of cargo requested by a shipper, it is necessary to check the classification of the transport vehicles owned by the shipper and the transport vehicles of the transport company that has requested the transport, but this work is feared to be a considerable burden.

[0005] The present invention aims to provide a carbon dioxide emission calculation method, a carbon dioxide emission calculation system, and a program that can estimate the vehicle classification of a transport vehicle without checking the vehicle classification of the transport vehicle and calculate the amount of carbon dioxide emissions based on the estimated vehicle classification.

[0006] The present invention provides a carbon dioxide emission calculation method executed by a carbon dioxide emission calculation system that calculates the amount of carbon dioxide emission emitted from freight trucks, which are a means of transporting cargo, comprising the steps of: managing cargo shipment data; storing maximum load capacity data for each vehicle classification of the freight trucks; extracting cargo data to be transported to a specified delivery destination based on the shipping data obtained from the management system, and aggregating the total weight of the cargo to be transported to the specified delivery destination based on the extracted cargo data, to obtain aggregated weight data; estimating the vehicle classification of a single freight truck that will carry all of the cargo to be transported to the specified delivery destination based on the acquired aggregated weight data and the stored maximum load capacity data for each vehicle classification; and calculating the amount of carbon dioxide emission emitted from the freight truck transporting the cargo based on the estimated vehicle classification of the freight truck.

[0007] According to the present invention, the vehicle classification of a freight vehicle to be transported to a specified delivery destination is estimated based on the aggregate weight data acquired from the shipping data acquired from the management system and the maximum load capacity data for each vehicle classification. Therefore, the vehicle classification of the transport vehicle can be estimated without checking the vehicle classification of the transport vehicle.

[0008] Although the present invention is in the category of a method, the same actions and effects specific to the category can be achieved even when it is a system or a program.

[0009] According to the present invention, the vehicle class of a transport vehicle can be estimated without checking the vehicle class of the transport vehicle.

[0010] 1 is a diagram illustrating an overview of the carbon dioxide emission calculation system 1, where (1a) is a schematic diagram of the entire system and (1b) is a diagram illustrating an extracted carbon dioxide emission calculation computer 10. FIG. 1 is a diagram illustrating the instruction configuration of the carbon dioxide emission calculation system 1. FIG. 2 is a diagram illustrating a flowchart of a process for estimating the vehicle classification of a freight vehicle, which is executed by the carbon dioxide emission calculation system 1. FIG. 3 is a diagram illustrating a flowchart of a process for storing maximum load capacity data for each vehicle classification, which is executed by the carbon dioxide emission calculation system 1. FIG. 4 is a diagram illustrating a maximum load capacity table stored by the carbon dioxide emission calculation system 1. FIG. 5 is a diagram illustrating a flowchart of a process for acquiring aggregated weight data, which is executed by the carbon dioxide emission calculation system 1. FIG. 6 is a diagram illustrating an example of shipping data acquired from the management system 2. FIG. 7 is a diagram illustrating an example of parcel data extracted from the shipping data. FIG. 8 is a diagram illustrating a flowchart of a process for estimating the vehicle classification of a freight vehicle and a process for calculating the amount of carbon dioxide emissions emitted from a freight vehicle, which are executed by the carbon dioxide emission calculation system 1. FIG. 9 is a diagram illustrating an example of parcel data after the vehicle classification of a freight vehicle has been estimated.

[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a detailed description of embodiments of the present invention will be given with reference to the accompanying drawings. In the following drawings, the same elements are designated by the same numbers or symbols throughout the description of the embodiments.

[0012] Fig. 1a is a block diagram illustrating an overview of a carbon dioxide emission calculation system 1, and Fig. 1b is a diagram illustrating a carbon dioxide emission calculation computer 10. Fig. 2 is a diagram illustrating an overview of the instruction configuration of the carbon dioxide emission calculation system 1. The components of the carbon dioxide emission calculation system 1 will be described with reference to Figs. 1 and 2.

[0013] The carbon dioxide emission calculation system 1 is a system that estimates the vehicle classification (single-unit, 2t, 4t, 10t, etc.) of freight vehicles (trucks, tanker trucks, etc.) and calculates the amount of carbon dioxide emissions based on the estimated vehicle classification, and is equipped with a management system 2 and a carbon dioxide emission calculation computer 10.

[0014] The management system 2 is a WMS (Warehouse Management System) 3 or the like. The WMS 3 is a system having functions such as general warehouse entry / exit management and inventory management. The WMS 3 manages package shipping data (shipping date, shipper, delivery date, delivery destination, carrier identifier (name, management ID, etc.), item, weight, etc.).

[0015] The carbon dioxide emission calculation computer 10 includes, for example, a processor, a communication unit, an output unit that outputs signals, etc., a memory unit that stores maximum load data for each vehicle classification of freight vehicle, a calculation unit that extracts cargo data to be transported to a specified delivery destination based on shipping data obtained from the management system 2, calculates the total weight of the cargo to be transported to the specified delivery destination based on the extracted cargo data, and acquires the calculated weight data, an estimation unit that estimates the vehicle classification of a single freight vehicle that will carry all of the cargo to be transported to the specified delivery destination based on the acquired calculated weight data and the stored maximum load data for each vehicle classification, a notification unit that issues a notification if the weight of the cargo to be transported exceeds the largest maximum load data, and a calculation unit that calculates the carbon dioxide emission amount emitted from the freight vehicle transporting the cargo based on the estimated vehicle classification of the freight vehicle, and may be realized by a single computer or by multiple computers such as a cloud computer. In this specification, the term "cloud computer" may refer to either a computer that uses any computer in a scalable manner to perform a specific function, or a computer that includes multiple functional modules to realize a system and uses these functions in any combination. The carbon dioxide emission calculation computer 10 includes a data storage unit such as a hard disk, semiconductor memory, recording medium, or memory card as a memory unit. The carbon dioxide emission calculation computer 10 includes various devices that execute various processes as a processor. The carbon dioxide emission calculation computer 10 is connected to the management system 2 via a network 8.

[0016] 1, the carbon dioxide emission calculation system 1 is a system that estimates the vehicle classification of a freight vehicle and calculates the amount of carbon dioxide emission emitted from the freight vehicle, which is a means of transporting cargo, based on the estimated vehicle classification, and at least a carbon dioxide emission calculation computer 10 is connected to the management system 2 so as to be able to communicate data via a network 8 such as a public line network or an intranet. Note that the components of the carbon dioxide emission calculation system 1 are merely examples, and the number, types, and functions of terminals and devices (such as the customer's core system) not shown can be changed as appropriate.

[0017] The carbon dioxide emission calculation computer 10 includes a processor such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), and a ROM (Read Only Memory), and includes a communication unit such as a device that enables communication with other terminals and devices.

[0018] An outline of the processing steps when the carbon dioxide emission calculation system 1 estimates the vehicle classification of a freight vehicle will be described with reference to FIGS. 2 and 3. FIG.

[0019] The carbon dioxide emission calculation computer 10 stores maximum load capacity data for each vehicle classification of freight vehicles (step S1). The carbon dioxide emission calculation computer 10 defines the vehicle classification of freight vehicles that can be used for each project. The vehicle classification is a vehicle class according to the load capacity of the freight vehicle, for example, a single-car, a 2-ton vehicle, a 4-ton vehicle, or a 10-ton vehicle. The carbon dioxide emission calculation computer 10 determines the maximum load capacity for each defined vehicle classification. For example, the maximum load capacity is 400 kg for a single-car, 1,600 kg for a 2-ton vehicle, 3,000 kg for a 4-ton vehicle, and 10,000 kg for a 10-ton vehicle. Note that the vehicle classification and maximum load capacity are not limited to the above example and can be changed as appropriate. The carbon dioxide emission calculation computer 10 associates the defined vehicle classification with the maximum load capacity for each vehicle classification and stores it, and stores the maximum load capacity data for each vehicle classification of freight vehicles.

[0020] The carbon dioxide emission calculation computer 10 extracts data on packages to be transported to a specified destination based on the shipping data acquired from the management system 2, calculates the total weight of the packages to be transported to the specified destination based on the extracted package data, and acquires the calculated weight data (step S2). The management system 2 (more specifically, the WMS 3) outputs shipping data on the packages to be transported to the specified destination based on shipping instruction data acquired from a customer's core system (not shown) or the like to the carbon dioxide emission calculation computer 10. The shipping instruction data is information on the packages instructed by the shipper to ship from the commercial warehouse, such as package identifiers (name, type, management ID, etc.), quantity, item, shipping date and time, and storage location identifiers (such as the storage shelf management number); shipper information, which is information on the shipper, such as the name of the shipper, the identifiers of the commercial warehouse where the packages are stored (name, management ID, etc.), and the identifiers of the store to which the packages are to be delivered (name, management ID, etc.); a shipper identifier (address, name, telephone number, etc.), a delivery destination identifier (address, name, telephone number, etc.), and a carrier identifier (name, management ID, etc.). The shipping data is information about parcels instructed to be shipped based on the shipping instruction data, such as a parcel identifier, shipping date, a sender identifier, a delivery date, a destination identifier, a carrier identifier, a means of transportation (such as a truck or tanker truck, a train, a ship, or an airplane), an item identifier (such as a name or management ID), and weight. The carbon dioxide emission calculation computer 10 acquires this shipping data. The carbon dioxide emission calculation computer 10 extracts parcel data to be transported to a specified destination based on the shipping data acquired from the management system 2. The parcel data is information about the parcels to be transported. The carbon dioxide emission calculation computer 10 uses specified information (such as shipping date, sender identifier, delivery date, destination (delivery destination), carrier, means of transportation, item / category, etc.) as a counting key and extracts parcel data corresponding to this counting key from the shipping data. For example, if the shipping date is used as the counting key, the carbon dioxide emission calculation computer 10 extracts parcel data with the same shipping date from the shipping data. Note that the number of pieces of information used as the counting key is not limited to one; multiple pieces of information may be used.Furthermore, because the information used for each project differs, the aggregation key is determined based on data analysis, etc. The carbon dioxide emission calculation computer 10 aggregates the total weight of packages to be transported to a specified delivery destination based on the extracted package data, and obtains aggregated weight data. The carbon dioxide emission calculation computer 10 aggregates the weight of packages to be transported to a specified delivery destination for each aggregation key used for the extracted package data, and obtains the aggregated total weight of the packages as aggregated weight data. Here, the carbon dioxide emission calculation computer 10 determines that multiple packages that have the same origin (shipping origin), destination (delivery destination), shipping date, and transportation method (such as truck, train, cargo ship, or airplane, but in this embodiment, a truck, tanker, or other freight vehicle) are to be transported in the same shipment, combines the multiple packages, aggregates the total weight of the combined packages, and obtains the aggregated total weight data. The carbon dioxide emission calculation computer 10 determines that multiple packages whose weights do not match are packages to be transported on separate flights, and acquires the weight of each package as aggregated weight data. When multiple packages whose weights do not match are to be mixed together, the carbon dioxide emission calculation computer 10 aggregates the multiple packages for each mixed package, aggregates the weights of the aggregated multiple packages, and acquires the total weight of the aggregated multiple packages as aggregated weight data.

[0021] The carbon dioxide emission calculation computer 10 estimates the vehicle class of a single freight vehicle that will carry all of the cargo to be transported to the specified delivery destination, based on the acquired aggregate weight data and the stored maximum load data for each vehicle class (step S3). The carbon dioxide emission calculation computer 10 determines whether the weight of the cargo to be transported exceeds the largest maximum load data among the stored maximum load data. If the weight does not exceed this maximum load, the carbon dioxide emission calculation computer 10 estimates the vehicle class of a single freight vehicle that will carry all of the cargo to be transported to the specified delivery destination. On the other hand, if the weight exceeds this maximum load, the carbon dioxide emission calculation computer 10 estimates the vehicle classes of multiple freight vehicles that will carry all of the cargo to be transported to the specified delivery destination.

[0022] The carbon dioxide emission calculation computer 10 calculates the amount of carbon dioxide emitted from the freight vehicle transporting the cargo based on the estimated vehicle classification of the freight vehicle (step S4). The carbon dioxide emission calculation computer 10 calculates the remainder (remainder weight) when dividing the acquired aggregated weight data by the estimated maximum load capacity and the quotient rounded down to the nearest integer (maximum division value), and uses these to calculate the number of trips, loading rate, and carbon dioxide emission for the estimated vehicle classification.

[0023] An outline of the processing steps when the carbon dioxide emission calculation system 1 stores maximum load data for each vehicle classification of freight vehicles in step S1 will be described with reference to Figures 4 and 5. In the following description, it is assumed that the freight vehicles are trucks.

[0024] The carbon dioxide emission calculation computer 10 defines vehicle classifications (step S10). The carbon dioxide emission calculation computer 10 defines vehicle classifications of freight vehicles that can be used for each project. The carbon dioxide emission calculation computer 10 defines vehicle classes according to the load capacity of freight vehicles, such as individual vehicles, 2-ton vehicles, 4-ton vehicles, and 10-ton vehicles, as vehicle classifications. The carbon dioxide emission calculation computer 10 defines vehicle classifications based on the class of freight vehicles owned by each transport company that transports the cargo. Note that the definition of vehicle classifications is not limited to the example described above and can be changed as appropriate.

[0025] The carbon dioxide emission calculation computer 10 determines the maximum load capacity for each defined vehicle category (step S11). The carbon dioxide emission calculation computer 10 determines a hypothetical maximum load capacity for each defined vehicle category using a maximum load capacity corresponding to a preset vehicle class, etc. In the above example, the carbon dioxide emission calculation computer 10 determines the maximum load capacity to be 400 kg for a single-unit vehicle, 1,600 kg for a 2-ton vehicle, 3,000 kg for a 4-ton vehicle, and 10,000 kg for a 10-ton vehicle. Note that the maximum load capacity is not limited to the above example and can be changed as appropriate.

[0026] The carbon dioxide emission calculation computer 10 stores maximum load capacity data for each vehicle category in the storage unit (step S12). The storage unit stores the defined vehicle category and the maximum load capacity for each vehicle category in association with each other (see FIG. 5). The storage unit stores the maximum load capacity data for each vehicle category by holding a maximum load capacity table created by associating the vehicle category with the maximum load capacity for each vehicle category. Note that the method by which the storage unit stores the maximum load capacity data for each vehicle category is not limited to the example described above and can be changed as appropriate.

[0027] The above is an outline of the processing steps when the carbon dioxide emission calculation system 1 stores the maximum load data for each vehicle category of freight vehicle in step S1.

[0028] The outline of the processing steps when the carbon dioxide emission calculation system 1 acquires the aggregated weight data in step S2 will be described with reference to FIGS. 6, 7, and 8. FIG.

[0029] The carbon dioxide emission calculation computer 10 acquires shipping data from the management system 2 (step S20). The management system 2 (more specifically, the WMS 3) outputs shipping data to the carbon dioxide emission calculation computer 10 based on shipping instruction data acquired from the client's core system (not shown) or the like. The WMS 3 outputs shipping data regarding the package to be transported to the delivery destination based on this shipping instruction data to the carbon dioxide emission calculation computer 10. The carbon dioxide emission calculation computer 10 acquires this shipping data from the management system 2.

[0030] The carbon dioxide emission calculation computer 10, in its aggregation unit, extracts data on packages to be transported to a specified delivery destination based on the shipping data acquired from the management system 2 (step S21). The aggregation unit uses specified information (shipping date, shipper, delivery date, shipping destination (delivery destination), carrier, transportation means, item / category, etc.) as an aggregation key, and extracts package data corresponding to this aggregation key from the shipping data. This aggregation key is determined based on data analysis, etc., since the information used varies for each case. For example, the aggregation unit uses the shipping date as an aggregation key and extracts package data with the same shipping date from the shipping data. Note that the information used as the aggregation key is not limited to one, and multiple pieces of information may be used.

[0031] The following describes an example of how the aggregation unit extracts package data. FIG. 7 is a diagram schematically illustrating an example of shipping data acquired by the carbon dioxide emission calculation computer 10 from the management system 2. This shipping data includes information on the shipping date, origin, delivery date, delivery destination, carrier, item, and weight for each package. FIG. 8 is a diagram schematically illustrating an example of package data extracted from the shipping data by the aggregation unit using the shipping date as an aggregation key. This package data includes information on the shipping date, origin, delivery date, delivery destination, carrier, and weight for each package. The item / category information is excluded from the package data and only needs to be included in the package data when multiple packages are being loaded. The aggregation unit uses, for example, the shipping date as an aggregation key from the shipping data (see FIG. 7 ) to extract package data corresponding to this shipping date from the shipping data (see FIG. 8 ). The aggregation unit uses the extracted package data to execute the processing described below.

[0032] The carbon dioxide emission calculation computer 10, in the counting unit, determines which of the extracted package data have matching origin (shipping origin), destination (shipping destination), shipping date, and transportation means (step S22). The counting unit determines which of the extracted package data have matching origin (shipping origin), destination (shipping destination), shipping date, and transportation means, and which do not.

[0033] For each parcel that the aggregation unit determines to have parcel data that does not match at least the origin (shipping origin), destination (shipping destination), shipping date, and transportation means (step S22: NO), the carbon dioxide emission calculation computer 10 determines in the aggregation unit that each parcel is to be transported on a separate flight (step S23). The aggregation unit determines that multiple parcels corresponding to parcel data that do not match at least these are to be transported by different truck vehicles. Note that the aggregation unit may also determine that multiple parcels corresponding to parcel data that do not match at least these and that meet predetermined conditions (e.g., parcel data with a weight equal to or less than a predetermined value, parcel data with a weight equal to or greater than a predetermined value, parcel data in which any one or a combination of three or less of the origin (shipping origin), destination (shipping destination), shipping date, and transportation means matches) are to be transported as a consolidated shipment. In this case, the parcels determined to be transported as a consolidated shipment are to be transported by truck vehicles with the number of flights corresponding to the parcels determined to be transported as a consolidated shipment. After executing the process of step S23, the carbon dioxide emission calculation computer 10 executes the process of step S25, which will be described later.

[0034] On the other hand, for multiple parcels that the tallying unit determines to be parcel data that matches at least the departure point (shipping origin), destination (shipping destination), shipping date, and transportation means among the extracted parcel data (YES in step S22), the carbon dioxide emission calculation computer 10 determines in the tallying unit that the multiple parcels are parcels to be transported in a single shipment (step S24). The tallying unit determines that the multiple parcels corresponding to the matching parcel data are parcels to be transported in a single shipment of freight trucks.

[0035] The carbon dioxide emission calculation computer 10, in its aggregation unit, aggregates the total weight of the parcels to be transported to a predetermined delivery destination based on the extracted parcel data and acquires aggregated weight data (step S25). The aggregation unit groups multiple parcels determined to be transported by a single freight vehicle into a single parcel group, aggregates the total weight of the single parcel group based on the weight of each parcel belonging to the single parcel group, and acquires the aggregated total weight value as aggregated weight data. The aggregation unit aggregates the total weight of each parcel determined to be transported by a separate parcel based on the weight of each parcel, and acquires the aggregated total weight value as aggregated weight data. In this case, the total weight is synonymous with the weight of each parcel, and the aggregated weight data is synonymous with the weight value of each parcel. Note that if the aggregation unit determines that multiple parcels are to be transported as a mixed load, the aggregation unit aggregates the multiple parcels determined to be transported as a mixed load into a single parcel group, aggregates the total weight of the single parcel group based on the weight of each parcel belonging to the single parcel group, and acquires the aggregated total weight value as aggregated weight data.

[0036] The above is an outline of the processing steps when the carbon dioxide emission calculation system 1 acquires the aggregated weight data in step S2.

[0037] The processing steps when the carbon dioxide emission calculation system 1 estimates the vehicle classification of a freight vehicle in step S3 and calculates the amount of carbon dioxide emission emitted from the freight vehicle in step S4 will be outlined with reference to Figures 9 and 10.

[0038] The estimation unit of the carbon dioxide emission calculation computer 10 determines whether the weight of the luggage to be transported exceeds the largest maximum load capacity among the maximum load capacity data (step S30). The estimation unit determines whether the weight of the luggage to be transported (the acquired aggregate weight data) exceeds the largest maximum load capacity among the stored maximum load capacity data for each vehicle category (10,000 kg in the example of FIG. 5). If multiple luggage are determined to be luggage to be transported on a single flight, the estimation unit determines whether the aggregate weight data of the multiple luggage exceeds the largest maximum load capacity among the stored maximum load capacity data for each vehicle category. In this case, the estimation unit also determines whether the multiple luggage can actually be transported on a single flight. If each luggage is determined to be luggage to be transported on a separate flight, the estimation unit determines whether the aggregate weight data of each luggage exceeds the largest maximum load capacity among the stored maximum load capacity data for each vehicle category. In this case, the estimation unit also determines whether each luggage can actually be transported on a single flight. If the estimation unit determines that a plurality of parcels are being transported together, it determines whether the aggregate weight data of the plurality of parcels exceeds the largest maximum load capacity among the stored maximum load capacity data for each vehicle category. In this case, it also determines whether the plurality of parcels can actually be transported on a single flight.

[0039] If the estimation unit determines that the weight of the cargo to be transported does not exceed the largest maximum load capacity among the stored maximum load capacity data for each vehicle category (step S30: NO), the carbon dioxide emission calculation computer 10 estimates the vehicle category of a single freight vehicle that will carry all of the cargo to be transported to the specified destination based on the acquired aggregated weight data and the stored maximum load capacity data for each vehicle category (step S31). The estimation unit determines whether the defined vehicle categories, starting with the vehicle with the smallest maximum load capacity, satisfy the aggregated weight data. An example will be described in which the maximum load capacity data for each vehicle category is that shown in FIG. 5, and the aggregated weight data is the aggregated value (1,100 kg) of the weights of two cargoes (500 kg and 600 kg) shown in FIG. 8. The estimation unit first compares the maximum load capacity of the vehicle category for which the smallest maximum load capacity has been determined with this aggregated weight data. The estimation unit compares 400 kg, the maximum load capacity for a single unit, with 1,100 kg, the aggregated weight data. Since the aggregated weight data exceeds the maximum load capacity for a single unit, the estimation unit compares this aggregated weight data with the maximum load capacity for the vehicle category for which the maximum load capacity of the next largest vehicle has been determined. The estimation unit compares 1,600 kg, the maximum load capacity for a 2-ton vehicle, with 1,100 kg, the aggregated weight data. Since the aggregated weight data does not exceed the maximum load capacity for a 2-ton vehicle, the estimation unit estimates the vehicle category for which this maximum load capacity has been determined as the vehicle category for a single freight vehicle on which all of the cargo to be transported to the specified delivery destination will be loaded. Note that if the aggregated weight data exceeds the maximum load capacity for a 2-ton vehicle, the estimation unit compares this aggregated weight data with the maximum load capacity for the vehicle category for which the maximum load capacity of the next largest vehicle has been determined. The estimation unit compares the aggregated weight data with 3,000 kg, the maximum load capacity for a 4-ton vehicle. If the total weight data exceeds the maximum load capacity of a 4-ton vehicle, the estimation unit compares the total weight data with the maximum load capacity of the vehicle category for which the next largest maximum load capacity data has been determined.The estimation unit compares the total weight data with 10,000 kg, which is the maximum load capacity of a 10-ton vehicle.In this way, the estimation unit compares the maximum load capacity with the aggregated weight data in ascending order of maximum load capacity until it can estimate a vehicle category for which a maximum load capacity that does not exceed the aggregated weight data to be compared is determined. After estimating the vehicle category, the carbon dioxide emission calculation computer 10 adds the estimated vehicle category to the extracted baggage data (see FIG. 10). After executing the process of step S31, the carbon dioxide emission calculation computer 10 executes the process of step S34, which will be described later.

[0040] If the estimation unit determines that the weight of the cargo to be transported exceeds the largest maximum load capacity among the stored maximum load capacity data for each vehicle category (YES in step S30), the carbon dioxide emission calculation computer 10 causes the notification unit to issue a notification (step S32). The notification unit outputs a message to the client's core system, a display unit of the carbon dioxide emission calculation computer 10, or the like, indicating that the weight of the cargo to be transported exceeds the largest maximum load capacity among the stored maximum load capacity data for each vehicle category. The notification unit outputs this message to notify the client of this. Note that the notification method executed by the notification unit is not limited to the above example and can be changed as appropriate. Through this process, the carbon dioxide emission calculation computer 10 notifies the client of the aggregate weight data of the cargo to be transported if it exceeds the largest maximum load capacity among the maximum load capacity data for each vehicle category.

[0041] The estimation unit of the carbon dioxide emission calculation computer 10 estimates the vehicle classification of the multiple freight vehicles loaded with cargo to be transported to a specified delivery destination based on the acquired aggregated weight data and the stored maximum load data for each vehicle classification (step S33). The estimation unit estimates the vehicle classification corresponding to the largest maximum load and the vehicle classification corresponding to the excess weight (the value obtained by subtracting the largest maximum load data from the aggregated weight data), or divides the aggregated weight data into multiple parts based on orders and estimates the vehicle classification corresponding to the divided aggregated weight data.

[0042] A case will be described in which a vehicle category corresponding to the largest maximum load capacity and a vehicle category corresponding to an excess weight are estimated. The estimation unit estimates the vehicle category determined to have the largest maximum load capacity among the stored maximum load capacity data. The estimation unit estimates the vehicle category corresponding to the excess weight using the excess weight obtained by subtracting the largest maximum load capacity from the aggregated weight data. For example, if the aggregated weight data is 12,000 kg, the estimation unit estimates the 10-ton vehicle, which is the vehicle category determined to have the largest maximum load capacity, as the vehicle category corresponding to the largest maximum load capacity, since the largest maximum load capacity is 10,000 kg (see FIG. 5 ). The estimation unit estimates that this 10,000 kg of cargo will be transported by one 10-ton vehicle. Furthermore, the estimation unit estimates the vehicle category corresponding to the excess weight using the excess weight obtained by subtracting the maximum load capacity of the 10-ton vehicle from the aggregated weight data (12,000 kg - 10,000 kg = 2,000 kg). The estimation unit estimates that the excess weight of the cargo in this aggregated weight data will be transported by a freight vehicle other than the 10-ton vehicle. That is, the aggregation unit estimates the vehicle classification of each freight vehicle for each shipment, using the 10-ton vehicle and a vehicle classification corresponding to the excess weight. Here, the estimation unit may repeatedly subtract the largest maximum load capacity from the excess weight until the excess weight does not exceed the largest maximum load capacity, until a vehicle classification corresponding to the excess weight that does not exceed the largest maximum load capacity is estimated. Note that, for example, if the aggregated weight data is 22,000 kg, and all of the cargo cannot be transported using only the vehicle classification determined by the largest maximum load capacity data for one shipment and the vehicle classification corresponding to the excess weight, another vehicle classification is estimated using the additional excess weight (22,000 kg - 10,000 kg = 12,000 kg). In this case, the estimation unit further estimates the vehicle category determined to be the largest maximum load capacity of one shipment (i.e., estimating two shipments of 10-ton vehicles), and uses the excess weight (12,000 kg - 10,000 kg = 2,000 kg) to estimate a vehicle category according to the excess weight. Alternatively, the estimation unit may use the excess weight (22,000 kg - 10,000 kg = 12,000 kg) to divide it into appropriate weights and estimate multiple vehicle categories.

[0043] A case will be described in which weight is divided into multiple parts based on orders and a vehicle classification is estimated according to the divided weights. The estimation unit divides the aggregated weight data into arbitrary weights based on shipping data. For example, if the shipping data indicates that package A weighs 3,000 kg, package B weighs 2,000 kg, package C weighs 1,000 kg, and package D weighs 5,000 kg, and the aggregated weight data is 11,000 kg, the estimation unit divides the aggregated weight data into multiple parts. For example, the estimation unit divides the aggregated weight data into three parts: 3,000 kg (package A), 2,000 kg + 1,000 kg (package B + package C), and 5,000 kg (package D). The estimation unit estimates a vehicle classification according to the divided weights. For example, the estimation unit uses each divided weight as aggregate weight data and compares the maximum load data with the aggregate weight data in ascending order of maximum load capacity until it can estimate a vehicle category with a maximum load capacity that does not exceed the aggregate weight data to be compared, thereby estimating a vehicle category according to the divided weight. In the above example, the vehicle category of a 3,000 kg (baggage A) truck vehicle is estimated to be a 4-ton vehicle, the vehicle category of a 2,000 kg + 1,000 kg (baggage B + baggage C) truck vehicle is estimated to be a 4-ton vehicle, and the vehicle category of a 5,000 kg (baggage D) truck vehicle is estimated to be a 10-ton vehicle. Note that the method used by the estimation unit to divide the weights into arbitrary weights can be changed as appropriate.

[0044] The carbon dioxide emission calculation computer 10 may execute the process of step S32 and the process of step S33 in the reverse order.

[0045] The carbon dioxide emission calculation computer 10 calculates the number of trips, loading rate, and carbon dioxide emission amount for each vehicle category in the calculation unit (step S34). The calculation unit calculates the remainder (remaining weight) obtained by dividing the total weight tallied by trip by the maximum loading amount determined for each vehicle category, and the quotient (maximum divisor) obtained by rounding down to the nearest integer, and calculates the number of trips, loading rate, and carbon dioxide emission amount for each vehicle category based on the remaining weight and the quotient.

[0046] The calculation method for the number of trips will be described with reference to the maximum load capacity table ( FIG. 5 ). The calculation unit determines whether the maximum divisor for the vehicle category for which the smallest maximum load capacity is determined exceeds 1. For example, if the aggregate weight data is 300 kg, the quotient for the vehicle category for which the individual vehicle is determined is 0, and the remainder is 300 kg. Therefore, the calculation unit determines that the maximum divisor does not exceed 1, and calculates the number of trips as 1. If the maximum divisor for the vehicle category for which the smallest maximum load capacity is determined exceeds 1, the calculation unit determines whether the maximum divisor for the vehicle category for which the next smallest maximum load capacity is determined exceeds 1. For example, if the aggregate weight data is 700 kg, the quotient for the vehicle category for which the individual vehicle is determined exceeds 1, and therefore the calculation unit determines whether the maximum divisor for the 2-ton vehicle, which is the vehicle category for which the next smallest maximum load capacity is determined after the individual vehicle, exceeds 1. In this case, the quotient for the 2-ton vehicle category is 0, and the remainder is 700 kg. Therefore, the calculation unit determines that the maximum divisor does not exceed 1, and calculates the number of trips as 1. If the maximum division value for the vehicle category for which the next smallest maximum load capacity is determined exceeds 1, the calculation unit determines whether the maximum division value for the vehicle category for which the next smallest maximum load capacity is determined exceeds 1, and calculates the number of trips, as in the example described above. Note that if the aggregated weight data for the vehicle category for which the largest maximum load capacity is determined exceeds this maximum load capacity, the calculation unit can also be configured to exclude that vehicle from the calculation of the number of trips, since it is assumed that the vehicle is being transported in multiple trips.

[0047] The calculation method for the load factor will be explained with reference to the maximum load capacity table (Figure 5). Since the load factor of individual packages is unknown, the calculation unit assumes that they will be transported by a 4-ton truck. When the number of individual package shipments is one or more, the calculation unit calculates the load factor as 0.62 (62%), which is the value for unknown load factors as specified in the Ministry of Land, Infrastructure, Transport and Tourism / Ministry of Economy, Trade and Industry guidelines. For vehicle categories of 2-ton or larger, the calculation unit calculates the load factor by dividing the excess weight by the maximum load capacity of each vehicle category. When the excess weight of a vehicle category with the largest maximum load capacity is equal to or less than the vehicle category with the next largest maximum load capacity, the calculation unit calculates the load factor as 100%. In other cases, the calculation unit calculates the load factor using the formula: aggregated weight data / (maximum load capacity of the vehicle category with the largest maximum load capacity x number of shipments).

[0048] The method for calculating carbon dioxide emissions will be described with reference to the maximum load capacity table ( FIG. 5 ). For each vehicle category other than the vehicle category for which the largest maximum load capacity is determined, the calculation unit calculates the carbon dioxide emissions using the formula: excess weight ÷ 1,000 × transport distance (km) × improved ton-kilometer method principle unit × carbon dioxide emission coefficient. The improved ton-kilometer method principle unit is calculated as EXP(2.67 − 0.927 × LN(x) − 0.648 × LN(z)) if the freight vehicle is a gasoline-powered vehicle, and as EXP(2.71 − 0.812 × LN(x) − 0.654 × LN(z)) if the freight vehicle is a diesel-powered vehicle. Here, x is the load factor (0 to 1), and z is the maximum load capacity (kg). When the excess weight of the vehicle category for which the largest maximum load capacity has been determined is equal to or less than the vehicle category for which the next largest maximum load capacity has been determined, the calculation unit calculates the carbon dioxide emission amount by multiplying the maximum load capacity determined for this vehicle category by the number of trips. In other cases, the calculation unit calculates the carbon dioxide emission amount using the same method as for the other vehicle categories described above.

[0049] The above is an overview of the processing steps when the carbon dioxide emission calculation system 1 estimates the vehicle classification of a freight vehicle in step S3 and calculates the amount of carbon dioxide emissions emitted from the freight vehicle in step S4.

[0050] Furthermore, the carbon dioxide emission calculation system 1 can be applied to tanker trucks in addition to trucks. In this case, the vehicle classification and maximum load capacity in FIG. 5 can be set appropriately depending on laws and regulations and the environment of the user of the system. For example, in the case of tanker trucks, the maximum load capacities of individual trucks, 2-ton trucks, 4-ton trucks, and 10-ton trucks can be set to 300 kg, less than 1,000 kg, less than 3,000 kg, and less than 8,000 kg, respectively. In this case, the description will be given assuming that the vehicle classifications of tanker trucks are individual trucks, 2-ton trucks, 4-ton trucks, and 10-ton trucks, and that the maximum load capacities are 300 kg, less than 1,000 kg, less than 3,000 kg, and less than 8,000 kg, respectively.

[0051] The following describes the case where the carbon dioxide emission calculation computer 10 estimates the vehicle category of a tanker truck in the processing of step S31. Here, the description is given assuming that the aggregated weight data is a value (1,100 kg) obtained by aggregating the weights of the two packages (500 kg and 600 kg) shown in FIG. 8 . The estimation unit first compares this aggregated weight data with the maximum load capacity of the vehicle category for which the smallest maximum load capacity has been determined. The estimation unit compares the aggregated weight data with the maximum load capacity of 300 kg for a single unit, which is the maximum load capacity of a single unit, and the aggregated weight data of 1,100 kg. Because the aggregated weight data exceeds the maximum load capacity of a single unit, the estimation unit compares this aggregated weight data with the maximum load capacity of the vehicle category for which the next largest maximum load capacity has been determined. The estimation unit compares the aggregated weight data with the maximum load capacity of a 2-ton truck, which is less than 1,000 kg, and the aggregated weight data of 1,100 kg. Because the aggregated weight data exceeds the maximum load capacity of a 2-ton vehicle, the estimation unit compares this aggregated weight data with the maximum load capacity of the vehicle category for which the next largest maximum load capacity has been determined. The estimation unit compares the aggregated weight data of 1,100 kg with the maximum load capacity of a 4-ton vehicle, which is less than 3,000 kg. Because the aggregated weight data does not exceed the maximum load capacity of a 4-ton vehicle, the estimation unit estimates the vehicle category for which this maximum load capacity has been determined as the vehicle category of a single freight vehicle on which all of the cargo to be transported to the specified delivery destination will be loaded. Note that if the aggregated weight data exceeds the maximum load capacity of a 4-ton vehicle, the estimation unit compares this aggregated weight data with the maximum load capacity of the vehicle category for which the next largest maximum load capacity has been determined. The estimation unit compares the aggregated weight data with the maximum load capacity of a 10-ton vehicle, which is less than 8,000 kg. In this way, the estimation unit compares the maximum load capacity with the aggregate weight data in ascending order of maximum load capacity until it can estimate a vehicle category with a maximum load capacity that does not exceed the aggregate weight data to be compared. After estimating the vehicle category, the carbon dioxide emission calculation computer 10 adds the estimated vehicle category to the extracted baggage data.

[0052] The following describes the case where the carbon dioxide emission calculation computer 10 estimates the vehicle classification of multiple tanker trucks in the processing of step S33. For example, if the aggregated weight data is 7,000 kg, the estimation unit estimates the 10-ton truck, which is the vehicle classification determined for the largest maximum load capacity, as the vehicle classification corresponding to the largest maximum load capacity, since the largest maximum load capacity is 8,000 kg. The estimation unit estimates that this 7,000 kg of cargo will be transported by a single 10-ton truck. On the other hand, if the aggregated weight data exceeds the maximum load capacity of the 10-ton truck, the estimation unit estimates a truck classification of a freight truck based on the excess weight in addition to the 10-ton truck. That is, if the aggregated weight data is 10,000 kg, the estimation unit estimates that the cargo will be transported by a 4-ton truck corresponding to the excess weight of 2,000 kg in addition to the 10-ton truck. The estimation unit estimates that the cargo with the excess weight of this aggregated weight data will be transported by a freight truck other than the 10-ton truck. That is, the counting unit estimates the vehicle classification of each freight vehicle for each shipment, using a 10-ton truck and a vehicle classification corresponding to the excess weight. Here, the estimation unit may estimate the vehicle classification for transporting the excess weight of the cargo by repeatedly subtracting the largest maximum load capacity from the excess weight until the excess weight does not exceed the largest maximum load capacity, until a vehicle classification corresponding to the excess weight that does not exceed the largest maximum load capacity is estimated. Note that, for example, if the counted weight data is 17,000 kg, and all of the cargo cannot be transported using only the vehicle classification determined by the largest maximum load capacity data for one shipment and the vehicle classification corresponding to the excess weight, another vehicle classification is estimated using the additional excess weight (17,000 kg - 8,000 kg = 9,000 kg). In this case, the estimation unit further estimates the vehicle category determined by the largest maximum load capacity of one shipment (i.e., estimating two shipments of 10-ton vehicles), and uses the surplus weight (9,000 kg - 8,000 kg = 1,000 kg) to estimate the vehicle category according to the surplus weight. Alternatively, the estimation unit may use the surplus weight (17,000 kg - 8,000 kg = 9,000 kg) to divide the weight into appropriate weights and estimate multiple vehicle categories. A case will be described in which the weight is divided into multiple weights based on orders, and vehicle categories are estimated according to the divided weights. The estimation unit divides the aggregated weight data into arbitrary weights based on shipping data.For example, if the shipping data indicates that package A weighs 3,000 kg, package B weighs 2,000 kg, package C weighs 1,000 kg, and package D weighs 5,000 kg, and the total weight data is 11,000 kg, the estimation unit divides the total weight data into multiple parts. For example, the estimation unit divides the total weight data into three parts: 3,000 kg (package A), 2,000 kg + 1,000 kg (package B + package C), and 5,000 kg (package D). The estimation unit estimates a vehicle category based on the divided weights. For example, the estimation unit uses each divided weight as total weight data and compares the maximum load capacity data with the total weight data in ascending order of maximum load capacity until it can estimate a vehicle category with a maximum load capacity that does not exceed the total weight data to be compared as described above. In the above example, the vehicle classification of a freight vehicle carrying 3,000 kg (baggage A) is estimated to be a 4-ton vehicle, the vehicle classification of a freight vehicle carrying 2,000 kg + 1,000 kg (baggage B + baggage C) is estimated to be a 4-ton vehicle, and the vehicle classification of a freight vehicle carrying 5,000 kg (baggage D) is estimated to be a 10-ton vehicle. Note that the method by which the estimation unit divides the weight into arbitrary weights can be changed as appropriate.

[0053] A case where the carbon dioxide emission calculation computer 10 calculates the number of trips, loading rate, and carbon dioxide emission amount for the tanker vehicle classification in the processing of step S34 will be described. A method for calculating the number of trips will be described. The carbon dioxide emission calculation computer 10 determines, in the calculation unit, whether the maximum divisor value for the vehicle classification for which the smallest maximum load capacity is determined exceeds 1. For example, if the aggregate weight data is 200 kg, the quotient for the vehicle classification for individual vehicles is 0, and the remainder is 200 kg. Therefore, the calculation unit determines that the maximum divisor value does not exceed 1, and calculates the number of trips as 1. If the maximum divisor value for the vehicle classification for which the smallest maximum load capacity is determined exceeds 1, the calculation unit determines whether the maximum divisor value for the vehicle classification for which the next smallest maximum load capacity is determined exceeds 1. For example, if the aggregate weight data is 700 kg, the quotient for the vehicle classification for individual vehicles exceeds 1, so the calculation unit determines whether the maximum divisor value for the 2-ton vehicle, which is the vehicle classification for which the next smallest maximum load capacity after individual vehicles is determined, exceeds 1. In this case, the quotient for the 2-ton vehicle is 0, and the remainder is 700 kg. Therefore, the calculation unit determines that the maximum divisor does not exceed 1 and calculates the number of trips as 1. If the maximum divisor for the vehicle category with the next smallest maximum load capacity exceeds 1, the calculation unit determines whether the maximum divisor for the vehicle category with the next smallest maximum load capacity exceeds 1, as in the example described above, and calculates the number of trips. Note that if the aggregate weight data for the vehicle category with the largest maximum load capacity exceeds this maximum load capacity, the calculation unit can also exclude that vehicle from the calculation of the number of trips, since it is assumed that the vehicle is being transported in multiple trips. The method for calculating the load ratio will be described below. Since the load ratio of individual packages is unknown, the calculation unit assumes that the packages are transported by 4-ton vehicles. If the number of individual packages is 1 or more, the calculation unit calculates the load ratio as 0.62 (62%), which is the value for when the load ratio is unknown according to the Ministry of Land, Infrastructure, Transport and Tourism / Ministry of Economy, Trade and Industry guidelines. For vehicle categories of 2-ton vehicles and above, the calculation unit calculates the load ratio by dividing the remaining weight by the maximum load capacity of each vehicle category.The calculation unit calculates the load ratio as 100% when the excess weight in the vehicle category for which the largest maximum load capacity is determined is equal to or less than the vehicle category for which the next largest maximum load capacity is determined. In other cases, the calculation unit calculates the load ratio using the formula: aggregated weight data ÷ (maximum load capacity of the vehicle category for which the largest maximum load capacity is determined × number of trips). The method for calculating carbon dioxide emissions will be described. The carbon dioxide emission calculation computer 10 calculates the carbon dioxide emissions in the calculation unit for each vehicle category other than the vehicle category for which the largest maximum load capacity is determined, using the formula: excess weight ÷ 1,000 × transport distance (km) × improved ton-kilometer method principle unit × carbon dioxide emission coefficient. The modified ton-kilometer method principle unit is calculated as EXP(2.67-0.927×LN(x)-0.648×LN(z)) if the freight vehicle is a gasoline vehicle, and as EXP(2.71-0.812×LN(x)-0.654×LN(z)) if the freight vehicle is a diesel vehicle. Here, x is the load factor (0 to 1), and z is the maximum load capacity (kg). When the excess weight in a vehicle category for which the largest maximum load capacity has been determined is equal to or less than the vehicle category for which the next largest maximum load capacity has been determined, the calculation unit multiplies the maximum load capacity determined for that vehicle category by the number of trips to calculate the carbon dioxide emissions. In other cases, the calculation unit calculates the carbon dioxide emissions in the same manner as for the other vehicle categories described above.

[0054] The method of determining whether a freight vehicle is a truck or a tanker may be, for example, by having a system administrator or operator determine the cargo in the shipping data and accepting that selection.

[0055] The above is an overview of the carbon dioxide emission calculation system 1. According to this carbon dioxide emission calculation system 1, it is possible to estimate the vehicle class of a transport vehicle without checking the vehicle class of the transport vehicle.

[0056] The above-described means and functions are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program may be provided, for example, from a computer via a network (Software as a Service (SaaS)) or as a cloud service. The program may also be provided in a form recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers it to an internal or external recording device, records it, and executes it. The program may also be pre-recorded on a recording device (recording medium) and provided to the computer from the recording device via a communication line.

[0057] Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments. Furthermore, the effects described in the embodiments of the present invention are merely a list of the most preferable effects resulting from the present invention, and the effects of the present invention are not limited to those described in the embodiments of the present invention.

[0058] A first aspect disclosed in this embodiment provides a carbon dioxide emission calculation method executed by a carbon dioxide emission calculation system that calculates carbon dioxide emissions emitted from freight trucks, which are a means of transporting cargo, the carbon dioxide emission calculation method comprising the steps of: managing cargo shipment data; storing maximum load data for each vehicle classification of the freight trucks; extracting cargo data to be transported to a specified delivery destination based on the shipping data obtained from the management system, and aggregating the total weight of the cargo to be transported to the specified delivery destination based on the extracted cargo data, and obtaining aggregated weight data; estimating the vehicle classification of a single freight truck that will carry all of the cargo to be transported to the specified delivery destination based on the acquired aggregated weight data and the stored maximum load data for each vehicle classification; and calculating the carbon dioxide emissions emitted from the freight truck transporting the cargo based on the estimated vehicle classification of the freight truck.

[0059] A second aspect disclosed in this embodiment provides the carbon dioxide emission calculation method according to the first aspect, further comprising a step of issuing a notification when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data.

[0060] A third aspect disclosed in this embodiment is a carbon dioxide emission calculation system that calculates carbon dioxide emissions emitted from a freight truck vehicle, which is a means of transporting luggage, and includes: a management system that manages luggage shipping data; a memory unit that stores maximum load capacity data for each vehicle classification of the freight truck vehicle; a calculation unit that extracts luggage data to be transported to a specified delivery destination based on the shipping data acquired from the management system, calculates the total weight of the luggage to be transported to the specified delivery destination based on the extracted luggage data, and acquires the calculated weight data; an estimation unit that estimates the vehicle classification of a single freight truck vehicle that will carry all of the luggage to be transported to the specified delivery destination based on the acquired calculated weight data and the stored maximum load capacity data for each vehicle classification; and a calculation unit that calculates the carbon dioxide emissions emitted from the freight truck vehicle transporting luggage based on the estimated vehicle classification of the freight truck vehicle.

[0061] A fourth aspect disclosed in this embodiment provides a carbon dioxide emission calculation system according to the third aspect, in which the aggregation unit determines that multiple packages that have at least the same origin, destination, shipping date, and transportation means are packages to be transported on a single flight, and aggregates the weights of the multiple packages.

[0062] A fifth aspect disclosed in this embodiment provides a carbon dioxide emission calculation system according to the third aspect, further comprising a notification unit that issues a notification when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data.

[0063] A sixth aspect disclosed in this embodiment provides a carbon dioxide emission calculation system according to the third aspect, in which, when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data, the estimation unit estimates a vehicle classification corresponding to the largest maximum load capacity and a vehicle classification corresponding to the excess weight.

[0064] A seventh aspect disclosed in this embodiment provides a carbon dioxide emission calculation system according to the third aspect, in which, when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data, the estimation unit divides the weight into multiple parts based on the order and estimates a vehicle classification according to the divided weights.

[0065] An eighth aspect disclosed in this embodiment provides a computer-readable program for causing a carbon dioxide emission calculation system that calculates carbon dioxide emissions emitted from freight vehicles, which are a means of transporting cargo, to execute the following steps: managing cargo shipping data; storing maximum load data for each vehicle classification of the freight vehicle; extracting cargo data to be transported to a specified delivery destination based on the shipping data obtained from the management system, and aggregating the total weight of the cargo to be transported to the specified delivery destination based on the extracted cargo data, and obtaining aggregated weight data; estimating the vehicle classification of a single freight vehicle that will carry all of the cargo to be transported to the specified delivery destination based on the acquired aggregated weight data and the stored maximum load data for each vehicle classification; and calculating the carbon dioxide emissions emitted from the freight vehicle transporting the cargo based on the estimated vehicle classification of the freight vehicle.

[0066] 1 Carbon dioxide emission calculation system 2 Management system 3 WMS 8 Network 10 Carbon dioxide emission calculation computer

Claims

1. A carbon dioxide emission calculation method executed by a carbon dioxide emission calculation system that calculates carbon dioxide emissions emitted from trucks which are a means of transporting luggage, comprising the steps of: managing luggage shipping data; storing maximum load data for each vehicle classification of the trucks; extracting luggage data to be transported to a specified delivery destination based on the shipping data obtained from a management system, tallying up the total weight of the luggage to be transported to the specified delivery destination based on the extracted luggage data, and obtaining aggregated weight data; estimating the vehicle classification of a single truck vehicle in which all of the luggage to be transported to the specified delivery destination will be loaded, based on the acquired aggregated weight data and the stored maximum load data for each vehicle classification; and calculating the amount of carbon dioxide emissions emitted from the trucks transporting luggage based on the estimated vehicle classification of the trucks.

2. The carbon dioxide emission calculation method according to claim 1, further comprising a step of: issuing a notification when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data.

3. A carbon dioxide emission calculation system that calculates carbon dioxide emissions emitted from a freight vehicle which is a means of transporting luggage, comprising: a management system that manages luggage shipping data; a memory unit that stores maximum load data for each vehicle classification of the freight vehicle; a calculation unit that extracts luggage data to be transported to a specified delivery destination based on the shipping data obtained from the management system, calculates the total weight of the luggage to be transported to the specified delivery destination based on the extracted luggage data, and obtains aggregated weight data; an estimation unit that estimates the vehicle classification of a single freight vehicle in which all of the luggage to be transported to the specified delivery destination will be loaded, based on the acquired aggregated weight data and the stored maximum load data for each vehicle classification; and a calculation unit that calculates the amount of carbon dioxide emissions emitted from the freight vehicle transporting luggage, based on the estimated vehicle classification of the freight vehicle.

4. The carbon dioxide emission calculation system of claim 3, wherein the aggregation unit determines that multiple packages that have at least the same departure point, destination, shipping date, and transportation means are packages to be transported on the same flight, and aggregates the weights of the multiple packages.

5. The carbon dioxide emission calculation system according to claim 3, further comprising a notification unit that issues a notification when the weight of the cargo to be transported exceeds the largest maximum load amount among the maximum load amount data.

6. The carbon dioxide emission calculation system of claim 3, wherein the estimation unit estimates a vehicle classification corresponding to the largest maximum load capacity and a vehicle classification corresponding to the excess weight when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data.

7. The carbon dioxide emission calculation system of claim 3, wherein when the weight of the cargo to be transported exceeds the largest maximum load capacity among the maximum load capacity data, the estimation unit divides the weight into multiple parts based on the order and estimates the vehicle classification according to the divided weights.

8. A computer-readable program for causing a carbon dioxide emission calculation system that calculates carbon dioxide emissions emitted from freight vehicles, which are a means of transporting luggage, to execute the following steps: managing luggage shipping data; storing maximum load data for each vehicle type of the freight vehicle; extracting luggage data to be transported to a specified delivery destination based on the shipping data obtained from the management system, and tallying up the total weight of the luggage to be transported to the specified delivery destination based on the extracted luggage data, and obtaining totalized weight data; estimating the vehicle type of a single freight vehicle in which all of the luggage to be transported to the specified delivery destination will be loaded, based on the acquired total weight data and the stored maximum load data for each vehicle type; and calculating the amount of carbon dioxide emissions emitted from the freight vehicle transporting luggage, based on the estimated vehicle type of the freight vehicle.

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