A traffic transport scheme making method and system considering carbon emission factor

Abstract

The embodiment of the specification relates to a traffic transport scheme making method and system considering carbon emission factors. Carbon emission influence factor data corresponding to different position blocks is obtained before traffic transport scheme solving, and when the traffic transport scheme is solved, the driving distance of a traffic tool in different position blocks corresponding to the traffic transport scheme is combined, instead of directly combining the overall driving distance of the traffic tool in the traffic transport scheme. That is, when the traffic transport scheme is made, not only the total traffic transport cost data and the total traffic transport carbon emission data are comprehensively considered, but also the actual influence of carbon emission on the environment is comprehensively considered, so that the economic benefit and the environmental benefit are optimized, and the environmental cost of carbon emission is really improved from total statistics to a decision-making level of precise influence.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of transportation technology, specifically to a method and system for formulating transportation plans that take carbon emission factors into account. Background Technology

[0002] As a core link in logistics and distribution, transportation efficiency and cost control are of paramount importance. Currently, academia and industry have proposed various methods for developing freight transportation solutions. These methods mostly revolve around the goals of optimizing delivery time and minimizing transportation costs, achieving significant improvements in logistics efficiency through route planning, capacity scheduling, and other means.

[0003] However, beyond traditional optimization objectives, carbon emission control in transportation has become an increasingly prominent technical challenge. Adding to the complexity, the impact assessment of carbon emissions is not a simple linear relationship; that is, the total amount of carbon emissions does not directly equate to the degree of their environmental impact. The actual environmental impact of carbon emissions varies significantly across different regions and at different times, making it impossible to maximize environmental benefits by simply pursuing lower total emission reductions.

[0004] Therefore, there is an urgent need for a new transportation scheme formulation method that can comprehensively consider the actual environmental impact of carbon emissions, so as to achieve synergistic optimization of economic and environmental benefits, and truly elevate the environmental cost of carbon emissions from total statistics to the decision-making level of precise impact. Summary of the Invention

[0005] This specification provides a method and system for formulating transportation plans that take carbon emission factors into account. It can comprehensively consider the actual environmental impact of carbon emissions when formulating transportation plans, so as to achieve synergistic optimization of economic and environmental benefits, and truly elevate the environmental cost of carbon emissions from total statistics to the decision-making level of precise impact.

[0006] The technical solution is as follows:

[0007] Firstly, embodiments of this specification provide a method for developing transportation plans that considers carbon emission factors, including:

[0008] Obtain carbon emission impact factor information, which includes carbon emission impact factor data corresponding to different location blocks;

[0009] Obtain product demand information and product supply information. The product demand information includes the location information of each demand location, the quantity of goods demanded, and the expected delivery time information. The product supply information includes the location information of each supply location and the product inventory information.

[0010] Acquire transportation information, which includes the location information of each of the multiple vehicles, the unit distance transportation cost information of each of the multiple vehicles, the unit distance carbon emission factor data of each of the multiple vehicles, and the average driving speed information of each of the multiple vehicles.

[0011] A transportation planning model is constructed, which includes a transportation objective function and constraint information. The transportation objective function involves data on total transportation costs, total transportation carbon emissions, and total impact of transportation carbon emissions.

[0012] Based on the transportation planning model, carbon emission impact factor information, goods demand information, goods supply information, and transportation vehicle information, the transportation plan is obtained.

[0013] The total impact data of carbon emissions from transportation is obtained based on the carbon emission impact sub-data of each of the multiple modes of transportation involved in the transportation plan. The carbon emission impact sub-data of each mode of transportation is obtained based on the driving distance of each mode of transportation in different locations within the transportation plan, the carbon emission impact factor data of each different location block it passes through, and the carbon emission factor data per unit distance of each mode of transportation.

[0014] As a preferred approach, the acquisition of carbon emission impact data for transportation vehicles includes:

[0015] Based on the travel distance of each vehicle in different locations within a transportation plan and the carbon emission factor per unit distance for each vehicle, the carbon emissions of each vehicle in different locations within a transportation plan are obtained.

[0016] Based on the carbon emission impact factor data corresponding to different locations and blocks in the transportation plan, and the carbon emission amount of each block in which the vehicle is located in the transportation plan, carbon emission impact sub-data of the vehicle is obtained.

[0017] As a preferred embodiment, the step of obtaining the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the travel distance of the vehicle in different location blocks within the transportation plan and the unit distance carbon emission factor data of the vehicle includes:

[0018] Obtain the first factor adjustment function corresponding to the vehicle and adjust its corresponding carbon emission factor per unit distance based on its load data;

[0019] Obtain the load data of each vehicle in different location blocks within the transportation plan;

[0020] Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the first factor adjustment function of each vehicle, and the load data of each vehicle in different locations within the transportation plan, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

[0021] As a preferred embodiment, the acquisition of the load data corresponding to each vehicle in different location blocks in the transportation plan includes:

[0022] Obtain the load-time variation curves of each vehicle in different location blocks within the transportation plan, wherein the load-time variation curves do not include relevant data when the vehicle is stationary;

[0023] Based on the load-time variation curves of each vehicle in different location blocks within the transportation plan, the average load of each vehicle in different location blocks within the transportation plan is obtained.

[0024] As a preferred embodiment, the step of obtaining carbon emission impact sub-data for transportation vehicles based on carbon emission impact factor data corresponding to different location blocks traversed in the transportation plan and the corresponding block carbon emissions of transportation vehicles in different location blocks within the transportation plan includes:

[0025] Obtain the second factor adjustment function corresponding to the carbon emission impact factor data of different location blocks, which can be adjusted according to the data of the time period;

[0026] Obtain the time period data corresponding to each vehicle in different location blocks within the transportation plan;

[0027] Based on the carbon emission impact factor data corresponding to different locations and blocks traversed by the transportation vehicle in the transportation plan, the carbon emission amount of the transportation vehicle in different locations and blocks in the transportation plan, the second factor adjustment function corresponding to different locations and blocks, and the time period data corresponding to different locations and blocks in the transportation plan, the carbon emission impact sub-data of the transportation vehicle is obtained.

[0028] As a preferred embodiment, the time period data includes the start time and end time of the time period;

[0029] The method for constructing the second factor adjustment function includes:

[0030] Establish a multiple regression function involving the start time parameter, end time parameter, and adjustment factor parameter of the current time period. The adjustment factor is used as the response variable in the multiple regression function, and the start time and end time of the current time period are used as explanatory variables.

[0031] Obtain a dataset containing multiple data samples, each of which includes the start time of its corresponding time period, the end time of its corresponding time period, and an adjustment factor;

[0032] The multivariate regression function is solved based on the dataset to obtain the second factor adjustment function.

[0033] As a preferred embodiment, the transportation information also includes the loading time and unloading time per unit of cargo for each of the various transportation vehicles.

[0034] As a preferred embodiment, the step of obtaining the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the travel distance of the vehicle in different location blocks within the transportation plan and the unit distance carbon emission factor data of the vehicle includes:

[0035] Obtain data on the unit unloading carbon emission factor for each mode of transportation;

[0036] Obtain the location block and unloading volume of each unloading location on the corresponding driving route of the vehicle in the transportation plan;

[0037] Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the carbon emission factor per unit unloading of each vehicle, the location blocks to which each unloading location on the corresponding driving route of each vehicle in the transportation plan belongs, and the unloading volume, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

[0038] As a preferred embodiment, the step of obtaining the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the travel distance of the vehicle in different location blocks within the transportation plan and the unit distance carbon emission factor data of the vehicle includes:

[0039] Obtain data on the carbon emission factor per unit load for transportation vehicles;

[0040] Obtain the location block and loading volume of each loading location on the corresponding driving route of the vehicle in the transportation plan;

[0041] Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the carbon emission factor per unit load of each vehicle, the location blocks to which each vehicle belongs on its corresponding driving route in the transportation plan, and the load volume, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

[0042] Secondly, embodiments of this specification provide a transportation planning system that considers carbon emission factors, and a transportation planning method that considers carbon emission factors as described in the first aspect of the above embodiments, comprising:

[0043] The first acquisition module acquires carbon emission impact factor information, which includes carbon emission impact factor data corresponding to different location blocks.

[0044] The second acquisition module acquires product demand information and product supply information. The product demand information includes the location information of each demand location, the quantity of goods demanded, and the expected delivery time information. The product supply information includes the location information of each supply location and the inventory information of each supply location.

[0045] The third acquisition module acquires transportation information, which includes the location information of each of the multiple vehicles, the unit distance transportation cost information of each of the multiple vehicles, the unit distance carbon emission factor data of each of the multiple vehicles, and the average driving speed information of each of the multiple vehicles.

[0046] The module constructs a transportation scheme formulation model, which includes a transportation objective function and constraint information. The transportation objective function involves data on total transportation costs, total transportation carbon emissions, and total impact of transportation carbon emissions.

[0047] The solution module, based on the transportation scheme formulation model, carbon emission impact factor information, cargo demand information, cargo supply information, and transportation vehicle information, solves for the transportation scheme.

[0048] The total impact data of carbon emissions from transportation is obtained based on the carbon emission impact sub-data of each of the multiple modes of transportation involved in the transportation plan. The carbon emission impact sub-data of each mode of transportation is obtained based on the driving distance of each mode of transportation in different locations within the transportation plan, the carbon emission impact factor data of each different location block it passes through, and the carbon emission factor data per unit distance of each mode of transportation.

[0049] Thirdly, embodiments of this specification provide an electronic device, including a processor and a memory; the processor is connected to the memory; the memory is used to store executable program code; the processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to perform the steps described in the first aspect of the above embodiments.

[0050] Fourthly, embodiments of this specification provide a computer storage medium storing a plurality of instructions adapted for loading by a processor and executing the steps described in the first aspect of the above embodiments.

[0051] The beneficial effects of the technical solutions provided in some embodiments of this specification include at least the following:

[0052] Before solving the transportation plan, carbon emission impact factor data for different location blocks were obtained. Furthermore, the solution process considers the individual travel distances of each vehicle within its specific location block, rather than simply the overall travel distance. This means that the transportation plan not only comprehensively considers total transportation costs and total carbon emissions, but also the actual environmental impact of carbon emissions. This approach aims to achieve a synergistic optimization of economic and environmental benefits, elevating the environmental cost of carbon emissions from total statistics to a decision-making level focused on precise impact. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 A flowchart illustrating a method for developing transportation solutions that takes carbon emission factors into account, according to some embodiments of this disclosure, is shown.

[0055] Figure 2 A schematic diagram of a transportation planning system that takes carbon emission factors into account is shown, representing some embodiments of this disclosure.

[0056] Figure 3 A schematic block diagram of an electronic device according to some embodiments of the present disclosure is shown. Detailed Implementation

[0057] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings.

[0058] The terms "first," "second," "third," etc., in the description, claims, and accompanying drawings are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such processes, methods, products, or apparatus.

[0059] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of this specification. Various processes or components may be appropriately omitted, substituted, or added to the examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

[0060] Figure 1 A flowchart illustrating a method for developing a transportation plan that takes carbon emission factors into account, according to some embodiments of this disclosure, is shown. It should be understood that the numbers in the flowchart do not indicate the order in which these steps are performed; some or all of these steps may be performed in parallel, or their order may be interchanged, and this disclosure does not limit this. Furthermore, Figure 1 The methods described may also include additional steps not shown and / or the steps shown may be omitted, and the scope of this disclosure is not limited in this respect.

[0061] like Figure 1 As shown, the methods for developing transportation plans can include at least:

[0062] Step 102: Obtain carbon emission impact factor information, which includes carbon emission impact factor data corresponding to different location blocks (Note: Location blocks can be obtained by manually dividing the entire region into blocks).

[0063] Step 104: Obtain product demand information and product supply information. The product demand information includes the location information of each demand location, the product demand quantity information, and the expected delivery time information. The product supply information includes the location information of each supply location and the product inventory information.

[0064] Step 106: Obtain vehicle information, which includes the location information of each vehicle, the unit distance transportation cost information of each vehicle, the unit distance carbon emission factor data of each vehicle, and the average driving speed information of each vehicle.

[0065] Step 108: Construct a transportation plan formulation model, which includes a transportation objective function and constraint information. The transportation objective function involves data on total transportation costs, total transportation carbon emissions, and total impact of transportation carbon emissions.

[0066] Step 110: Based on the transportation plan model, carbon emission impact factor information, goods demand information, goods supply information, and transportation vehicle information, solve for the transportation plan;

[0067] The total impact data of carbon emissions from transportation is obtained based on the carbon emission impact sub-data of each of the multiple modes of transportation involved in the transportation plan. The carbon emission impact sub-data of each mode of transportation is obtained based on the driving distance of each mode of transportation in different locations within the transportation plan, the carbon emission impact factor data of each different location block it passes through, and the carbon emission factor data per unit distance of each mode of transportation.

[0068] Understandably, in densely vegetated suburbs, carbon emissions may be partially absorbed by the ecosystem; however, if emitted into densely built-up, poorly ventilated urban centers, they will directly exacerbate the heat island effect, leading to a significant increase in temperature. Similarly, in sparsely populated industrial areas, appropriate carbon emissions are generally permissible; however, in densely populated residential areas, carbon emissions will directly threaten residents' health. Therefore, the actual environmental impact of the same amount of carbon emissions varies depending on the location.

[0069] Therefore, in several embodiments of this specification, carbon emission impact factor data corresponding to different location blocks are obtained before solving the transportation plan. Furthermore, when solving the transportation plan, it is necessary to consider the travel distance of each vehicle within its respective location block, rather than directly considering the overall travel distance of the vehicle within the transportation plan. That is, when formulating a transportation plan, not only are total transportation costs and total carbon emissions considered, but also the actual environmental impact of carbon emissions. This aims to achieve synergistic optimization of economic and environmental benefits while truly elevating the environmental cost of carbon emissions from total statistics to a decision-making level based on precise impact.

[0070] It should be noted that genetic algorithms can be incorporated into the process of solving transportation solutions based on transportation scheme formulation models. A genetic algorithm is a search heuristic algorithm that simulates natural selection and genetics, used to solve optimization and search problems. In a genetic algorithm, each potential solution is represented as a "chromosome," and the transportation objective function is used to evaluate the fitness of each chromosome, i.e., the quality of the solution. Genetic algorithms are conventional algorithms and will not be elaborated upon further here.

[0071] In one embodiment of this specification, the transportation objective function may be, but is not limited to:

[0072] ;

[0073] ;

[0074] ;

[0075] ;

[0076] ;

[0077] ;

[0078] ;

[0079] ;

[0080] Where: A represents total transportation cost data, B represents total transportation carbon emission data, C represents total transportation carbon emission impact data; N represents the total number of vehicles involved in the transportation plan; This represents the transportation cost corresponding to the i-th mode of transportation involved in the transportation plan; This represents the carbon emissions associated with the i-th mode of transportation in the transportation plan. This represents the carbon emission impact data corresponding to the i-th mode of transportation involved in the transportation plan; This represents the total travel distance of the i-th mode of transportation involved in the transportation plan; This represents the unit distance transportation cost information for the i-th mode of transportation involved in the transportation plan; This represents the carbon emission factor per unit distance for the i-th mode of transportation involved in the transportation plan. This represents the block carbon emissions of the i-th mode of transport in the j-th location block within the transportation plan; This represents the carbon emission impact factor data corresponding to the j-th location block; J represents the travel distance of the i-th vehicle in the j-th location block in the transportation plan; J represents the total number of location blocks involved in the transportation plan.

[0081] It should be noted that the final transportation solution includes the transportation routes corresponding to each of the multiple vehicles, the departure times of each vehicle, and the loading and unloading plans for each vehicle along its transportation routes (i.e., where loading is required, the loading quantity, and where unloading is required, and the unloading quantity). The transportation route of each vehicle should start from its corresponding initial vehicle location, not directly from the supply location. This is because, in some cases, a vehicle is not directly located at the supply location but needs to travel from its corresponding initial vehicle location to the supply location to load goods before proceeding with subsequent cargo transportation. It may also need to receive goods from another vehicle and then depart from its corresponding initial vehicle location to begin subsequent cargo transportation. Therefore, in the embodiments of this specification, it is necessary to obtain the location information of each of the multiple vehicles.

[0082] Understandably, when solving transportation solutions based on a transportation plan development model, constraint information is required. Constraint information may include, but is not limited to, requirements for the quantity of goods demanded at each demand location and the expected delivery time. Constraint information may also include, but is not limited to, restrictions such as the vehicle's load not exceeding its maximum load capacity and the vehicle's usage time not exceeding its available time period. Constraint information can be set according to actual circumstances. Whether the expected delivery time requirement for each demand location can be met can be determined based on the vehicle's departure time, transportation route, and average speed. In some embodiments, whether the expected delivery time requirement for each demand location can be met may also consider the time spent by the vehicle on loading and unloading along the transportation route. Therefore, the vehicle information should also include the loading time and unloading time per unit quantity for each type of vehicle.

[0083] The means of transportation may include, but are not limited to, cars, ships, airplanes, trains, etc.

[0084] Refer to the above as well as As can be understood from the formula, in some embodiments of this specification, the acquisition of sub-data on the carbon emission impact of the vehicle includes:

[0085] Based on the travel distance of each vehicle in different locations within a transportation plan and the carbon emission factor per unit distance for each vehicle, the carbon emissions of each vehicle in different locations within a transportation plan are obtained.

[0086] Based on the carbon emission impact factor data corresponding to different locations and blocks in the transportation plan, and the carbon emission amount of each block in which the vehicle is located in the transportation plan, carbon emission impact sub-data of the vehicle is obtained.

[0087] Understandably, the greater the load capacity of a vehicle, the more fuel it requires for transportation, thus affecting its carbon emissions. Therefore, in some embodiments of this specification, obtaining the block carbon emissions of a vehicle in different locations within a transportation plan based on its travel distance and unit distance carbon emission factor data in different locations within the transportation plan includes:

[0088] Obtain the first factor adjustment function corresponding to the vehicle and adjust its corresponding carbon emission factor per unit distance based on its load data;

[0089] Obtain the load data of each vehicle in different location blocks within the transportation plan;

[0090] Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the first factor adjustment function of each vehicle, and the load data of each vehicle in different locations within the transportation plan, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

[0091] at this time:

[0092] ;

[0093] in, This represents the first factor adjustment function corresponding to the i-th mode of transportation involved in the transportation plan. This represents the load data of the i-th vehicle in the j-th location block involved in the transportation plan.

[0094] Understandably, since the load of a vehicle in the same location block changes with loading and unloading, in order to more reasonably represent the load of a vehicle in different location blocks in a transportation plan, in some embodiments of this specification, obtaining the load data of a vehicle in different location blocks in a transportation plan includes:

[0095] Obtain the load-time variation curves of each vehicle in different location blocks in the transportation plan. The load-time variation curves do not include relevant data when the vehicle is stationary (understandably, although the vehicle is stationary, it is not carrying a load, so it does not generate carbon emissions. Therefore, when adjusting the carbon emissions generated by the vehicle based on its load, the load data when the vehicle is stationary should not be considered).

[0096] Based on the load-time variation curves of each vehicle in different location blocks within the transportation plan, the average load of each vehicle in different location blocks within the transportation plan is obtained.

[0097] Specifically, based on the load-time variation curves of each vehicle in different location blocks within the transportation plan, the average load of each vehicle in different location blocks within the transportation plan is obtained, including:

[0098] By integrating the load-time variation curves of each vehicle in different location blocks within the transportation plan, the total load of each vehicle in different location blocks within the transportation plan can be obtained.

[0099] Based on the total load of each vehicle in different location blocks within the transportation plan and the time length of each load-time variation curve, the average load of each vehicle in different location blocks within the transportation plan is obtained.

[0100] In the embodiments described in this specification, the average load is obtained through the load-time variation curve, so as to obtain a more reasonable comprehensive load situation of the vehicle in the corresponding location block.

[0101] Understandable:

[0102] For basin areas, carbon emissions during the day have a smaller environmental impact than emissions at night. During the day, the sun heats the ground, and strong vertical convection of air allows carbon pollutants to be transported upwards to higher altitudes, where they are diluted to some extent. At night, the ground cools rapidly, and cold air from high altitudes sinks, forming a very stable "temperature inversion layer." This layer then pushes carbon pollutants closer to the ground, causing a sharp rise in the concentration of carbon pollutants at the ground level, resulting in severe smog.

[0103] For coastal areas, carbon emissions during the day have a greater impact on the environment than emissions at night. During the day, land warms up faster than the ocean, creating sea breezes that carry carbon pollutants over cities, leading to a deterioration in urban air quality. At night, land cools down faster than the ocean, creating land breezes that carry carbon pollutants away from cities and over the vast ocean, where they are greatly diluted and dispersed.

[0104] For marine areas, carbon emissions during the day have a smaller environmental impact than emissions at night. During the day, the sea surface is heated, and vertical air convection is relatively strong, allowing carbon pollutants to be transported upwards to higher spaces where they are quickly dispersed and diluted by sea breezes. At night, convection weakens above the sea surface, making it easier for carbon pollutants to accumulate near the sea surface. Although the impact on land is small, it can cause more severe local impacts on the marine ecosystem.

[0105] Therefore, in some embodiments of this specification, obtaining carbon emission impact data of a vehicle based on carbon emission impact factor data corresponding to different location blocks traversed in a transportation plan and the corresponding block carbon emissions of the vehicle in different location blocks within the transportation plan includes:

[0106] Obtain the second factor adjustment function corresponding to the carbon emission impact factor data of different location blocks, which can be adjusted according to the data of the time period;

[0107] Obtain the time period data corresponding to each vehicle in different location blocks within the transportation plan;

[0108] Based on the carbon emission impact factor data corresponding to different locations and blocks traversed by the transportation vehicle in the transportation plan, the carbon emission amount of the transportation vehicle in different locations and blocks in the transportation plan, the second factor adjustment function corresponding to different locations and blocks, and the time period data corresponding to different locations and blocks in the transportation plan, the carbon emission impact sub-data of the transportation vehicle is obtained.

[0109] In some embodiments of this specification, the time period data includes the start time and end time of the time period;

[0110] The method for constructing the second factor adjustment function includes:

[0111] Establish a multiple regression function involving the start time parameter, end time parameter, and adjustment factor parameter of the current time period. The adjustment factor is used as the response variable in the multiple regression function, and the start time and end time of the current time period are used as explanatory variables.

[0112] Obtain a dataset containing multiple data samples. Each data sample includes its corresponding start time, end time, and adjustment factor (Note: The adjustment factor is used to adjust the carbon emission impact factor data).

[0113] The multivariate regression function is solved based on the dataset to obtain the second factor adjustment function.

[0114] It should be noted that a multiple regression function is a statistical model used to describe the relationship between two or more independent variables (explanatory variables) and a dependent variable (response variable). Mathematically, multiple regression function models include multiple linear regression function models and multiple nonlinear regression function models. The multiple linear regression function model can be written in the form of the following equation:

[0115] ;

[0116] Where Y is the dependent variable, representing the variable we want to predict or explain; These are independent variables, and they are explanatory variables that affect the dependent variable; It is the intercept, which is the expected value of the dependent variable when all independent variables are 0; These are the coefficients of each independent variable, representing the expected change in the dependent variable when the corresponding independent variable changes by one unit. This is the error term, representing the random variation that the model failed to explain.

[0117] In multiple regression, our goal is to find the optimal coefficients. This is to enable accurate prediction of the dependent variable. The least squares method is typically used to estimate the coefficients when solving a multiple linear regression model.

[0118] In the embodiments of this specification, in the multiple regression function involving the start time parameter, end time parameter, and adjustment factor parameter of the time period, the adjustment factor parameter is the dependent variable, and the start time parameter and end time parameter of the time period are both explanatory variables affecting the dependent variable.

[0119] When solving a multiple regression function, it is necessary to first obtain a dataset containing multiple data samples. Each data sample includes its corresponding start time, end time, and adjustment factor. The start time, end time, and adjustment factor of each data sample can be manually set according to the actual situation. Data samples can be, but are not limited to, for example: {start time 2 o'clock, end time 3 o'clock, adjustment factor 0.5}, {start time 3 o'clock, end time 4 o'clock, adjustment factor 0.6}, {start time 4 o'clock, end time 5 o'clock, adjustment factor 0.7}, etc.

[0120] The multiple regression function obtained through this solution can then be used to determine the adjustment factor parameters based on the known start time parameter and end time parameter of the time period.

[0121] Furthermore, it's understandable that if there's no obvious linear relationship between the independent and dependent variables, a multiple nonlinear regression model is needed. Similar to the multiple linear regression model, the difference lies in that it allows the relationship between the independent and dependent variables to be represented by a nonlinear equation. This means that the relationship between one or more independent variables and the dependent variable in the model is not linear, but follows some kind of nonlinear function, which can be, but is not limited to, exponential, logarithmic, or power functions. Solving a multiple nonlinear regression model is usually more complex than solving a linear model because it involves nonlinear optimization problems. In practical applications, computer algorithms such as the Newton-Raphson method, gradient descent, and genetic algorithms are typically used to estimate the model parameters.

[0122] In the embodiments of this specification, by constructing a second factor adjustment function, the randomness of the time period can be adapted. That is, regardless of the start and end times, a corresponding adjustment factor can be calculated through the second factor adjustment function. This avoids the problem in the scheme of pre-setting adjustment factors for different time periods, where if the actual time period does not completely correspond to the preset time period range, the corresponding adjustment factor cannot be directly obtained.

[0123] In some embodiments of this specification, obtaining the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the vehicle's travel distance in different location blocks within the transportation plan and the unit distance carbon emission factor data for the vehicle includes:

[0124] Obtain data on the unit unloading carbon emission factor for each mode of transportation;

[0125] Obtain the location block and unloading volume of each unloading location on the corresponding driving route of the vehicle in the transportation plan;

[0126] Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the carbon emission factor per unit unloading of each vehicle, the location blocks to which each unloading location on the corresponding driving route of each vehicle in the transportation plan belongs, and the unloading volume, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

[0127] The method obtains the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the vehicle's travel distance in different location blocks, the unit distance carbon emission factor data for the vehicle, the unit unloading carbon emission factor data for the vehicle, the location blocks corresponding to each unloading location on the corresponding travel route of the vehicle in the transportation plan, and the unloading volume. This includes:

[0128] Based on the travel distance of each vehicle in different locations within a transportation plan and the carbon emission factor per unit distance for each vehicle, the carbon emissions of each vehicle in different locations within a transportation plan are obtained.

[0129] Based on the unit unloading carbon emission factor data of the transportation vehicle, the location blocks corresponding to each unloading location on the corresponding driving route of the transportation vehicle in the transportation plan, and the unloading volume, the unloading carbon emission of the transportation vehicle in different location blocks in the transportation plan is obtained.

[0130] Based on the carbon emissions of a vehicle's operation and unloading in different blocks within the transportation plan, the carbon emissions of a vehicle in different blocks within the transportation plan are obtained.

[0131] It is understandable that the unloading process will also generate certain carbon emissions. Therefore, in the embodiments of this specification, the carbon emissions of the vehicles in different locations in the transportation plan are also taken into account, as well as the carbon emissions of the vehicles unloading in different locations in the transportation plan.

[0132] In some embodiments of this specification, obtaining the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the vehicle's travel distance in different location blocks within the transportation plan and the unit distance carbon emission factor data for the vehicle includes:

[0133] Obtain data on the carbon emission factor per unit load for transportation vehicles;

[0134] Obtain the location block and loading volume of each loading location on the corresponding driving route of the vehicle in the transportation plan;

[0135] Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the carbon emission factor per unit load of each vehicle, the location blocks to which each vehicle belongs on its corresponding driving route in the transportation plan, and the load volume, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

[0136] The method obtains the block carbon emissions corresponding to each location of a vehicle in a transportation plan based on the vehicle's travel distance in different location blocks, the unit distance carbon emission factor data of the vehicle, the unit loading carbon emission factor data of the vehicle, the location block to which each loading position on the corresponding travel route of the vehicle belongs, and the loading volume, including:

[0137] Based on the travel distance of each vehicle in different locations within a transportation plan and the carbon emission factor per unit distance for each vehicle, the carbon emissions of each vehicle in different locations within a transportation plan are obtained.

[0138] Based on the unit loading carbon emission factor data of the transportation vehicle, the location blocks corresponding to each loading position on the corresponding driving route of the transportation vehicle in the transportation plan, and the loading volume, the block loading carbon emission of the transportation vehicle in different location blocks in the transportation plan is obtained.

[0139] Based on the carbon emissions of a vehicle's operation and loading within different blocks in the transportation plan, the carbon emissions of a vehicle within each block in the transportation plan are obtained.

[0140] It is understandable that the loading process will also generate certain carbon emissions. Therefore, in the embodiments of this specification, the carbon emissions of the vehicles in different locations in the transportation plan are also taken into account, including the carbon emissions of the vehicles loading in different locations in the transportation plan.

[0141] Figure 2 This document illustrates a schematic diagram of a transportation planning system that considers carbon emission factors, representing some embodiments of this disclosure. The various embodiments in this specification are described in a progressive manner, with reference to each other for similar or identical parts. Each embodiment focuses on its differences from other embodiments. In particular, the system embodiments are largely similar to the method embodiments, and therefore the description is relatively simple; relevant details can be found in the descriptions of the method embodiments.

[0142] like Figure 2 As shown, a system can include at least:

[0143] The first acquisition module acquires carbon emission impact factor information, which includes carbon emission impact factor data corresponding to different location blocks.

[0144] The second acquisition module acquires product demand information and product supply information. The product demand information includes the location information of each demand location, the quantity of goods demanded, and the expected delivery time information. The product supply information includes the location information of each supply location and the inventory information of each supply location.

[0145] The third acquisition module acquires transportation information, which includes the location information of each of the multiple vehicles, the unit distance transportation cost information of each of the multiple vehicles, the unit distance carbon emission factor data of each of the multiple vehicles, and the average driving speed information of each of the multiple vehicles.

[0146] The module constructs a transportation scheme formulation model, which includes a transportation objective function and constraint information. The transportation objective function involves data on total transportation costs, total transportation carbon emissions, and total impact of transportation carbon emissions.

[0147] The solution module, based on the transportation scheme formulation model, carbon emission impact factor information, cargo demand information, cargo supply information, and transportation vehicle information, solves for the transportation scheme.

[0148] The total impact data of carbon emissions from transportation is obtained based on the carbon emission impact sub-data of each of the multiple modes of transportation involved in the transportation plan. The carbon emission impact sub-data of each mode of transportation is obtained based on the driving distance of each mode of transportation in different locations within the transportation plan, the carbon emission impact factor data of each different location block it passes through, and the carbon emission factor data per unit distance of each mode of transportation.

[0149] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this specification are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., Digital Versatile Discs (DVDs)), or semiconductor media (e.g., Solid State Disks (SSDs)).

[0150] Figure 3 A block diagram of an electronic device 300 that can implement various embodiments of the present disclosure is shown. For example... Figure 3 As shown, the electronic device 300 includes a processor 310, a disk drive 320, an input / output interface 330, a network interface 340, and a memory 350. The processor 310, disk drive 320, input / output interface 330, network interface 340, and memory 350 can communicate with each other via a communication bus 360.

[0151] The processor 310 can be implemented using a general-purpose CPU, microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits to execute relevant programs in order to implement the technical solution provided in this application.

[0152] The memory 350 can be implemented in the form of ROM (Read Only Memory), RAM (Read Access Memory), static memory, dynamic storage devices, etc. The memory 350 can store the operating system 351 used to control the operation of the electronic device 300, and the basic input / output system (BIOS) 352 used to control the low-level operations of the electronic device 300. Additionally, it can store a web browser 353, a data storage management system 354, etc. In summary, when the technical solution provided in this application is implemented through software or firmware, the relevant program code is stored in the memory 350 and is called and executed by the processor 310.

[0153] Input / output interface 330 is used to connect input / output modules to realize information input and output. Input / output modules can be configured as components in the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touch screens, microphones, various sensors, etc., and output devices may include displays, speakers, vibrators, indicator lights, etc.

[0154] Network interface 340 is used to connect a communication module (not shown in the figure) to enable communication and interaction between the device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0155] Bus 360 includes a pathway for transmitting information between various components of the device, such as processor 310, disk drive 320, input / output interface 330, network interface 340, and memory 350.

[0156] It should be noted that although the above-described device only shows the processor 310, disk drive 320, input / output interface 330, network interface 340, memory 350, bus 360, etc., in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the method of this application, and does not necessarily include all the components shown in the figures.

[0157] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0158] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. Furthermore, although operations are depicted in a specific order, this should be understood as requiring that such operations be performed in the specific order shown or in sequential order, or requiring that all illustrated operations be performed to achieve the desired result. In certain environments, multitasking and parallel processing may be advantageous. Similarly, while several specific implementation details are included in the foregoing discussion, these should not be construed as limiting the scope of this disclosure. Certain features described in the context of individual embodiments may also be implemented in combination in a single implementation. Conversely, various features described in the context of a single implementation may also be implemented individually or in any suitable sub-combination in multiple implementations.

[0159] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. A method for formulating transportation plans that takes carbon emission factors into account, characterized in that, include: Obtain carbon emission impact factor information, which includes carbon emission impact factor data corresponding to different location blocks; Obtain product demand information and product supply information. The product demand information includes the location information of each demand location, the quantity of goods demanded, and the expected delivery time information. The product supply information includes the location information of each supply location and the product inventory information. Acquire transportation information, which includes the location information of each of the multiple vehicles, the unit distance transportation cost information of each of the multiple vehicles, the unit distance carbon emission factor data of each of the multiple vehicles, and the average driving speed information of each of the multiple vehicles. A transportation planning model is constructed, which includes a transportation objective function and constraint information. The transportation objective function involves data on total transportation costs, total transportation carbon emissions, and total impact of transportation carbon emissions. Based on the transportation planning model, carbon emission impact factor information, goods demand information, goods supply information, and transportation vehicle information, the transportation plan is obtained. Among them, the total carbon emission impact data of transportation is obtained based on the carbon emission impact sub-data of each of the multiple means of transportation involved in the transportation plan. The carbon emission impact sub-data of each means of transportation is obtained based on the driving distance of each means of transportation in different location blocks in the transportation plan, the carbon emission impact factor data of each different location block passed through, and the carbon emission factor data per unit distance of each means of transportation. The acquisition of sub-data on the carbon emission impact of transportation includes: Based on the travel distance of each vehicle in different locations within a transportation plan and the carbon emission factor per unit distance for each vehicle, the carbon emissions of each vehicle in different locations within a transportation plan are obtained. Based on the carbon emission impact factor data corresponding to different locations and blocks in the transportation plan, and the carbon emission amount of each block in which the vehicle is located in the transportation plan, carbon emission impact sub-data of the vehicle is obtained. The carbon emission impact data of a vehicle is obtained based on the carbon emission impact factor data corresponding to different locations and blocks traversed in the transportation plan, and the carbon emission data corresponding to each block in which the vehicle is located in the transportation plan. This includes: Obtain the second factor adjustment function corresponding to the carbon emission impact factor data of different location blocks, which can be adjusted according to the data of the time period; Obtain the time period data corresponding to each vehicle in different location blocks within the transportation plan; Based on the carbon emission impact factor data corresponding to different locations and blocks in the transportation plan, the carbon emission amount of the transportation vehicle in different locations and blocks in the transportation plan, the second factor adjustment function corresponding to different locations and blocks, and the time period data corresponding to different locations and blocks in the transportation plan, the carbon emission impact sub-data of the transportation vehicle is obtained. The time period data includes the start time and end time of the time period; The method for constructing the second factor adjustment function includes: Establish a multiple regression function involving the start time parameter, end time parameter, and adjustment factor parameter of the current time period. The adjustment factor is used as the response variable in the multiple regression function, and the start time and end time of the current time period are used as explanatory variables. Obtain a dataset containing multiple data samples, each of which includes the start time of its corresponding time period, the end time of its corresponding time period, and an adjustment factor; The multivariate regression function is solved based on the dataset to obtain the second factor adjustment function.

2. The method for formulating a transportation plan considering carbon emission factors according to claim 1, characterized in that, The method obtains the block carbon emissions corresponding to each vehicle's location in different blocks within the transportation plan based on the vehicle's travel distance and unit distance carbon emission factor data, including: Obtain the first factor adjustment function corresponding to the vehicle and adjust its corresponding carbon emission factor per unit distance based on its load data; Obtain the load data of each vehicle in different location blocks within the transportation plan; Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the first factor adjustment function of each vehicle, and the load data of each vehicle in different locations within the transportation plan, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

3. The method for formulating a transportation plan considering carbon emission factors according to claim 2, characterized in that, The acquisition of the load data corresponding to each vehicle in different location blocks in the transportation plan includes: Obtain the load-time variation curves of each vehicle in different location blocks within the transportation plan, wherein the load-time variation curves do not include relevant data when the vehicle is stationary; Based on the load-time variation curves of each vehicle in different location blocks within the transportation plan, the average load of each vehicle in different location blocks within the transportation plan is obtained.

4. The method for formulating a transportation plan considering carbon emission factors according to claim 1, characterized in that, The transportation information also includes the loading time and unloading time per unit of cargo for each of the various transportation modes.

5. The method for formulating a transportation plan considering carbon emission factors according to claim 4, characterized in that, The method obtains the block carbon emissions corresponding to each vehicle's location in different blocks within the transportation plan based on the vehicle's travel distance and unit distance carbon emission factor data, including: Obtain data on the unit unloading carbon emission factor for each mode of transportation; Obtain the location block and unloading volume of each unloading location on the corresponding driving route of the vehicle in the transportation plan; Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the carbon emission factor per unit unloading of each vehicle, the location blocks to which each unloading location on the corresponding driving route of each vehicle in the transportation plan belongs, and the unloading volume, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

6. The method for formulating a transportation plan considering carbon emission factors according to claim 4, characterized in that, The method obtains the block carbon emissions corresponding to each vehicle's location in different blocks within the transportation plan based on the vehicle's travel distance and unit distance carbon emission factor data, including: Obtain data on the carbon emission factor per unit load for transportation vehicles; Obtain the location block and loading volume of each loading location on the corresponding driving route of the vehicle in the transportation plan; Based on the driving distance of each vehicle in different locations within the transportation plan, the carbon emission factor per unit distance of each vehicle, the carbon emission factor per unit load of each vehicle, the location blocks to which each vehicle belongs on its corresponding driving route in the transportation plan, and the load volume, the block carbon emissions of each vehicle in different locations within the transportation plan are obtained.

7. A transportation planning system that considers carbon emission factors, based on the transportation planning method that considers carbon emission factors as described in any one of claims 1 to 6, characterized in that, include: The first acquisition module acquires carbon emission impact factor information, which includes carbon emission impact factor data corresponding to different location blocks. The second acquisition module acquires product demand information and product supply information. The product demand information includes the location information of each demand location, the quantity of goods demanded, and the expected delivery time information. The product supply information includes the location information of each supply location and the inventory information of each supply location. The third acquisition module acquires transportation information, which includes the location information of each of the multiple vehicles, the unit distance transportation cost information of each of the multiple vehicles, the unit distance carbon emission factor data of each of the multiple vehicles, and the average driving speed information of each of the multiple vehicles. The module constructs a transportation scheme formulation model, which includes a transportation objective function and constraint information. The transportation objective function involves data on total transportation costs, total transportation carbon emissions, and total impact of transportation carbon emissions. The solution module, based on the transportation scheme formulation model, carbon emission impact factor information, cargo demand information, cargo supply information, and transportation vehicle information, solves for the transportation scheme. The total impact data of carbon emissions from transportation is obtained based on the carbon emission impact sub-data of each of the multiple modes of transportation involved in the transportation plan. The carbon emission impact sub-data of each mode of transportation is obtained based on the driving distance of each mode of transportation in different locations within the transportation plan, the carbon emission impact factor data of each different location block it passes through, and the carbon emission factor data per unit distance of each mode of transportation.

Images