Method and system for formulating traffic transportation scheme considering carbon emission factor

Abstract

The embodiment of the invention relates to a traffic transportation scheme making method and system considering a carbon emission factor. Before a traffic transportation scheme is solved, carbon emission influence factor data corresponding to different position blocks are obtained, and when the traffic transportation scheme is solved, driving distances corresponding to vehicles in the different position blocks in the traffic transportation scheme need to be combined; and the whole driving distance of the vehicle in the transportation scheme is not directly combined. When a traffic transportation scheme is formulated, traffic transportation total cost data and traffic transportation carbon emission total amount data are comprehensively considered, and the actual influence condition of carbon emission on the environment is also comprehensively considered, so that economic benefits and environmental benefits are collaboratively optimized, and meanwhile, the economic benefits and environmental benefits are optimized. And the environmental cost of carbon emission is really improved from total quantity statistics to a decision-making level of accurate influence.

Description

TECHNICAL FIELD

[0001] Embodiments of the present specification relate to the technical field of transportation, in particular to a transportation scheme making method and system considering carbon emission factors. BACKGROUND

[0002] Transportation is a core link of logistics distribution, and its efficiency and cost control are crucial. At present, the academic and industrial circles have proposed various methods for making freight transportation schemes. These methods mostly focus on optimizing delivery timeliness and minimizing transportation costs, and achieve significant improvement in logistics efficiency through path planning and transportation capacity scheduling.

[0003] However, in addition to the traditional optimization objectives, carbon emission control in the transportation process has become an increasingly prominent technical problem. More complexly, 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 its impact on the environment. The actual environmental impact of carbon emissions in different regions and at different times varies significantly, which makes a scheme that simply pursues less total emission reduction may not maximize environmental benefits.

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

[0005] Embodiments of the present specification provide a transportation scheme making method and system considering carbon emission factors, which can comprehensively consider the actual environmental impact of carbon emissions to make transportation schemes, so as to achieve the coordinated optimization of economic benefits 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 solutions are as follows: In a first aspect, embodiments of the present specification provide a transportation scheme making method considering carbon emission factors, comprising: obtaining carbon emission impact factor information, the carbon emission impact factor information including carbon emission impact factor data corresponding to different location blocks respectively; obtaining freight demand information and freight supply information, the freight demand information including demand location information, freight demand quantity information, and expected delivery time information corresponding to a plurality of demand locations respectively, and the freight supply information including supply location information and freight inventory information corresponding to a plurality of supply locations respectively; 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. 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.

[0007] As a preferred approach, the acquisition of carbon emission impact data for transportation vehicles 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.

[0008] 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: 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; The block carbon emission of the vehicle in the transportation scheme in each of the different location blocks is obtained based on the respective driving distance of the vehicle in the transportation scheme in each of the different location blocks, the respective unit distance carbon emission factor data of the vehicle, the first factor adjustment function of the vehicle, and the respective load data of the vehicle in the transportation scheme in each of the different location blocks.

[0009] As a preferred scheme, the obtaining of the respective load data of the vehicle in the transportation scheme in each of the different location blocks comprises: obtaining a load-time variation curve of the vehicle in the transportation scheme in each of the different location blocks, wherein the load-time variation curve does not include relevant data in a stop state of the vehicle; The average load of the vehicle in the transportation scheme in each of the different location blocks is obtained based on the load-time variation curve of the vehicle in the transportation scheme in each of the different location blocks.

[0010] As a preferred scheme, the obtaining of the carbon emission influence sub-data of the vehicle based on the respective carbon emission influence factor data of the different location blocks and the respective block carbon emission of the vehicle in the transportation scheme in each of the different location blocks comprises: obtaining a second factor adjustment function of each of the different location blocks, which can adjust the corresponding carbon emission influence factor data of the location block according to the time period data of the location block; obtaining the time period data of the vehicle in the transportation scheme in each of the different location blocks; The carbon emission influence sub-data of the vehicle is obtained based on the respective carbon emission influence factor data of the different location blocks, the respective block carbon emission of the vehicle in the transportation scheme in each of the different location blocks, the respective second factor adjustment function of the different location blocks, and the time period data of the vehicle in the transportation scheme in each of the different location blocks.

[0011] As a preferred scheme, the time period data comprises a start time of the time period and an end time of the time period. The construction method of the second factor adjustment function comprises: establishing a multiple regression function involving a start time parameter of the time period, an end time parameter of the time period, and an adjustment factor parameter, wherein the adjustment factor is a response variable in the multiple regression function, and the start time of the time period and the end time of the time period are explanatory variables in the multiple regression function; obtaining a data set containing a plurality of data samples, each data sample including a respective corresponding start time of a time period in which the data sample is located, an end time of the time period in which the data sample is located, and an adjustment factor; solving a multiple regression function based on the data set to obtain a second factor adjustment function.

[0012] As a preferred scheme, the vehicle information further includes unit cargo loading time and unit cargo unloading time of each corresponding type of vehicle.

[0013] As a preferred scheme, the obtaining of the block carbon emission amount of the vehicle in each corresponding location block in the transportation scheme based on the driving distance of the vehicle in each corresponding location block in the transportation scheme, the unit distance carbon emission factor data of the vehicle, includes: obtaining unit unloading carbon emission factor data of the vehicle; obtaining the location block to which each corresponding unloading location on the corresponding driving route of the vehicle in the transportation scheme belongs and the unloading amount of the unloading location; obtaining the block carbon emission amount of the vehicle in each corresponding location block in the transportation scheme based on the driving distance of the vehicle in each corresponding location block in the transportation scheme, the unit distance carbon emission factor data of the vehicle, the unit unloading carbon emission factor data of the vehicle, and the location block to which each corresponding unloading location on the corresponding driving route of the vehicle in the transportation scheme belongs and the unloading amount of the unloading location.

[0014] As a preferred scheme, the obtaining of the block carbon emission amount of the vehicle in each corresponding location block in the transportation scheme based on the driving distance of the vehicle in each corresponding location block in the transportation scheme, the unit distance carbon emission factor data of the vehicle, includes: obtaining unit loading carbon emission factor data of the vehicle; obtaining the location block to which each corresponding loading location on the corresponding driving route of the vehicle in the transportation scheme belongs and the loading amount of the loading location; obtaining the block carbon emission amount of the vehicle in each corresponding location block in the transportation scheme based on the driving distance of the vehicle in each corresponding location block in the transportation scheme, the unit distance carbon emission factor data of the vehicle, the unit loading carbon emission factor data of the vehicle, and the location block to which each corresponding loading location on the corresponding driving route of the vehicle in the transportation scheme belongs and the loading amount of the loading location.

[0015] In a second aspect, the embodiments of the present specification provide a transportation scheme making system considering carbon emission factors, based on the transportation scheme making method considering carbon emission factors in the first aspect of the embodiments, comprising: The first obtaining module obtains carbon emission influence factor information, wherein the carbon emission influence factor information comprises carbon emission influence factor data corresponding to different location blocks respectively; The second obtaining module obtains goods demand information and goods supply information, wherein the goods demand information comprises demand location information, goods demand quantity information and expected delivery time information corresponding to a plurality of demand locations respectively, and the goods supply information comprises supply location information and goods inventory information corresponding to a plurality of supply locations respectively; The third obtaining module obtains transportation tool information, wherein the transportation tool information comprises transportation tool location information corresponding to a plurality of transportation tools respectively, unit distance transportation cost information corresponding to a plurality of transportation tools respectively, unit distance carbon emission factor data corresponding to a plurality of transportation tools respectively, and average driving speed information corresponding to a plurality of transportation tools respectively; The constructing module constructs a transportation scheme making model, wherein the transportation scheme making model comprises a transportation objective function and constraint condition information, and the transportation objective function involves total transportation cost data, total transportation carbon emission data and total transportation carbon emission influence data; The solving module solves a transportation scheme based on the transportation scheme making model, the carbon emission influence factor information, the goods demand information, the goods supply information and the transportation tool information; The total transportation carbon emission influence data is obtained based on carbon emission influence sub-data corresponding to a plurality of transportation tools involved in the transportation scheme, and the carbon emission influence sub-data of the transportation tool is obtained based on driving distance of the transportation tool in the transportation scheme in different location blocks, carbon emission influence factor data of different location blocks passed through by the transportation tool respectively, and unit distance carbon emission factor data corresponding to the transportation tool.

[0016] In a third aspect, the embodiments of the present specification provide an electronic device, comprising a processor and a memory; the processor is connected with the memory; the memory is used for storing executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps in the first aspect of the embodiments.

[0017] In a fourth aspect, the embodiments of the present specification provide a computer storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded and executed by a processor to execute the steps in the first aspect of the embodiments.

[0018] The technical solutions provided by some embodiments of the specification have at least the following beneficial effects: The carbon emission influence factor data corresponding to different location blocks is obtained before the traffic transportation scheme is solved, and when the traffic transportation scheme is solved, the driving distance of the traffic tool in the traffic transportation scheme in the corresponding location block is combined, instead of directly combining the overall driving distance of the traffic tool in the traffic transportation scheme. That is, when the traffic transportation scheme is formulated, not only the total transportation cost data and the total carbon emission data of the transportation are considered, but also the actual influence of carbon emission on the environment is considered, so as to truly improve the environmental cost of carbon emission from the total statistics to the decision-making level of precise influence, while realizing the collaborative optimization of economic benefit and environmental benefit. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0020] Figure 1 A flowchart of a traffic transportation scheme formulation method considering carbon emission factors is shown.

[0021] Figure 2 A structural diagram of a traffic transportation scheme formulation system considering carbon emission factors is shown.

[0022] Figure 3 A schematic block diagram of an electronic device is shown. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the specification will be described clearly and completely in the following with reference to the drawings in the embodiments of the specification.

[0024] In the specification, claims and the above drawings, the terms "first", "second", "third" and the like are used to distinguish different objects, and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include other steps or units not listed or can optionally include other steps or units inherent to the process, method, product or device.

[0025] The following description provides examples, and is not intended to limit the scope, applicability or example set forth in the claims. Alterations and further modifications of the described elements are possible without deviating from the scope of the present description. Various examples can omit, substitute, or add various procedures or components as appropriate. For instance, the methods described can be performed in an order different than described, and various steps can be added, omitted, or combined. Also, features described with respect to some examples can be combined in other examples.

[0026] Figure 1 A flowchart of a traffic transportation scheme making method considering carbon emission factors is shown. It should be understood that the numbering in the flowchart of the method does not represent the order in which the steps are performed, some or all of the steps can be performed in parallel, or the order of execution can be interchanged, and the present disclosure does not limit this. In addition, Figure 1 The method in the above embodiment can further include additional steps not shown and / or can omit the steps shown, and the scope of the present disclosure is not limited in this respect.

[0027] As shown in Figure 1 The traffic transportation scheme making method can at least include: Step 102, obtaining carbon emission impact factor information, the carbon emission impact factor information including carbon emission impact factor data corresponding to different location blocks respectively (Note: The location blocks can be obtained by artificially dividing the total area into blocks); Step 104, obtaining goods demand information and goods supply information, the goods demand information including demand location information, goods demand quantity information, and expected delivery time information corresponding to a plurality of demand locations respectively, and the goods supply information including supply location information and goods inventory information corresponding to a plurality of supply locations respectively; Step 106, obtaining transportation tool information, the transportation tool information including transportation tool location information corresponding to a plurality of transportation tools respectively, unit distance transportation cost information corresponding to a plurality of transportation tools respectively, unit distance carbon emission factor data corresponding to a plurality of transportation tools respectively, and average driving speed information corresponding to a plurality of transportation tools respectively; Step 108, constructing a transportation scheme making model, the transportation scheme making model including a transportation objective function and constraint condition information, the transportation objective function involving total transportation cost data, total transportation carbon emission data, and total transportation carbon emission impact data; Step 110, obtaining a transportation scheme based on the transportation scheme making model, the carbon emission impact factor information, the goods demand information, the goods supply information, and the transportation tool information; The total carbon emission impact data of the transportation is obtained based on carbon emission impact sub-data of each of a plurality of vehicles involved in the transportation scheme, and the carbon emission impact sub-data of each vehicle is obtained based on a corresponding driving distance of the vehicle in each of the different location blocks in the transportation scheme, a corresponding carbon emission impact factor data of each of the different location blocks passed by the vehicle, and a corresponding unit distance carbon emission factor data of the vehicle.

[0028] It can be understood that in a suburban area with dense vegetation, the carbon emissions can be partially absorbed by the ecosystem; but if emitted to a densely built urban center with poor ventilation, it will directly exacerbate the heat island effect, causing a significant increase in air temperature; for example, in a sparsely populated industrial area, appropriate carbon emissions are usually allowed; while in a densely populated residential area, carbon emissions will directly threaten the health of residents. Therefore, under the same amount of carbon emissions, the actual environmental impact of different location blocks is different.

[0029] Therefore, in the embodiments of the present specification, the carbon emission impact factor data of each of the different location blocks is obtained before the transportation scheme is solved, and when the transportation scheme is solved, the driving distance of each vehicle in each of the different location blocks in the transportation scheme needs to be combined, rather than directly combining the overall driving distance of the vehicle in the transportation scheme. That is, when formulating the transportation scheme, not only the total transportation cost data and the total carbon emission data of the transportation are comprehensively considered, but also the actual impact of carbon emissions on the environment is considered, so as to truly improve the environmental cost of carbon emissions from the total amount of statistics to the decision-making level of precise impact while achieving the optimization of economic benefits and environmental benefits.

[0030] It should be noted that the genetic algorithm can be combined in the process of solving the transportation scheme based on the transportation scheme formulation model. Genetic algorithm is a search heuristic algorithm that simulates natural selection and genetics, which is used to solve optimization and search problems. In genetic algorithm, each potential solution is represented as a "chromosome", and the transportation objective function can be used to evaluate the fitness of each chromosome, i.e. the quality of the solution. Genetic algorithm is a conventional algorithm, which will not be described here.

[0031] In an embodiment of the present specification, the transportation objective function can be but is not limited to: ; ; ; ; ; ; ; ; wherein: 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 scheme; represents the transportation cost corresponding to the i-th vehicle involved in the transportation scheme; represents the transportation carbon emission corresponding to the i-th vehicle involved in the transportation scheme; represents the carbon emission impact sub-data corresponding to the i-th vehicle involved in the transportation scheme; represents the total driving distance of the i-th vehicle involved in the transportation scheme; represents the unit distance transportation cost information corresponding to the i-th vehicle involved in the transportation scheme; represents the unit distance carbon emission factor data corresponding to the i-th vehicle involved in the transportation scheme; represents the block carbon emission of the i-th vehicle involved in the transportation scheme in the j-th location block; represents the carbon emission impact factor data corresponding to the j-th location block; represents the driving distance of the i-th vehicle involved in the transportation scheme in the j-th location block; J represents the total number of location blocks involved in the transportation scheme.

[0032] It should be noted that the final transportation scheme obtained by solving includes the transportation paths of each of the plurality of vehicles, the departure times of each of the plurality of vehicles, the loading and unloading schemes of each of the plurality of vehicles on the transportation paths (i.e., where to load, how much to load, where to unload, and how much to unload), and the like. Among them, the transportation path of the vehicle should be taken as the starting point from the initial vehicle position corresponding thereto, rather than directly taking the supply location as the starting point, because the vehicle is not directly located at the supply location in some cases, but needs to first travel from the initial vehicle position corresponding thereto to the supply location for loading, and then proceed with subsequent cargo transportation, or may need to depart from the initial vehicle position corresponding thereto after receiving the cargo of another vehicle for subsequent cargo transportation. Therefore, in the embodiments of the present specification, the vehicle position information corresponding to each of the plurality of vehicles needs to be obtained.

[0033] It can be understood that when the traffic transportation scheme is solved based on the transportation scheme formulation model, the constraint condition information needs to be constrained. The constraint condition information can include but is not limited to that each demand place is satisfied with the corresponding demand information of the goods and the expected time information of receiving goods. The constraint condition information can also include but is not limited to that the carrying capacity of the vehicle cannot exceed the limit carrying capacity, and the use time of the vehicle cannot exceed the available time range. The constraint condition information can be set according to the actual situation. Wherein, whether the demand place can be satisfied with the corresponding expected time information of receiving goods can be judged based on the departure time, transportation path and average driving speed information of the vehicle. In some embodiments, whether the demand place can be satisfied with the corresponding expected time information of receiving goods can also consider the time consumed by the vehicle for loading and unloading on the transportation path, so at this time the vehicle information should also include the unit cargo loading time and the unit cargo unloading time of each corresponding vehicle.

[0034] Wherein, the vehicle can be but not limited to a car, a ship, an airplane, a train, etc.

[0035] According to the above and formula, it can be understood that in some embodiments of the present specification, the acquisition of the carbon emission influence sub-data of the vehicle includes: based on the corresponding driving distance of the vehicle in the traffic transportation scheme in different location blocks, the corresponding unit distance carbon emission factor data of the vehicle, obtaining the corresponding block carbon emission of the vehicle in the traffic transportation scheme in different location blocks; based on the corresponding carbon emission factor data of the vehicle in the traffic transportation scheme in different location blocks, the corresponding block carbon emission of the vehicle in the traffic transportation scheme in different location blocks, obtaining the carbon emission influence sub-data of the vehicle.

[0036] It can be understood that the greater the carrying capacity of the vehicle, the more fuel it needs to consume for transportation, which will affect its carbon emission. Therefore, in some embodiments of the present specification, the acquisition of the corresponding block carbon emission of the vehicle in the traffic transportation scheme in different location blocks based on the corresponding driving distance of the vehicle in the traffic transportation scheme in different location blocks, the corresponding unit distance carbon emission factor data of the vehicle, includes: obtaining a first factor adjustment function corresponding to the vehicle, which can adjust the corresponding unit distance carbon emission factor data of the vehicle according to the carrying capacity data of the vehicle; obtaining the corresponding carrying capacity data of the vehicle in the traffic transportation scheme in different location blocks; The block carbon emission of the vehicle in the transportation scheme in each corresponding location block is obtained based on the respective corresponding driving distance of the vehicle in the transportation scheme in different location blocks, the unit distance carbon emission factor data corresponding to the vehicle, the first factor adjustment function corresponding to the vehicle, and the load data of the vehicle in the transportation scheme in different location blocks.

[0037] At this time: ; wherein, represents the first factor adjustment function corresponding to the ith vehicle involved in the transportation scheme, represents the load data of the ith vehicle involved in the transportation scheme in the jth location block.

[0038] It can be understood that, since the load of the vehicle in the same location block will change with loading and unloading, in order to more reasonably represent the load of the vehicle in the transportation scheme in different location blocks, in some embodiments of the present specification, the load data of the vehicle in the transportation scheme in different location blocks is obtained by: obtaining the load-time change curve of the vehicle in the transportation scheme in different location blocks, wherein the load-time change curve does not include relevant data in the vehicle stop state (it can be understood that, although there is load in the vehicle stop state, the carbon emission caused by the vehicle itself is basically not considered, so the load data in the vehicle stop state should not be considered when adjusting the carbon emission caused by the load of the vehicle) ; obtaining the average load of the vehicle in the transportation scheme in different location blocks based on the load-time change curve of the vehicle in the transportation scheme in different location blocks.

[0039] wherein, the average load of the vehicle in the transportation scheme in different location blocks is obtained based on the load-time change curve of the vehicle in the transportation scheme in different location blocks, comprising: obtaining the total load of the vehicle in the transportation scheme in different location blocks by integrating the load-time change curve of the vehicle in the transportation scheme in different location blocks; Based on the total load corresponding to each of the different location blocks in which the vehicle is located in the transportation scheme and the time length corresponding to each of the plurality of load-time variation curves, the average load corresponding to each of the different location blocks in which the vehicle is located in the transportation scheme is obtained.

[0040] That is, in the embodiments of the present specification, the average load is obtained through the load-time variation curve to more reasonably obtain the comprehensive load condition of the vehicle in the corresponding location block.

[0041] It can be understood that: For basin areas, the impact on the environment of carbon emission during the day will be less than that at night; during the day, the ground is heated by the sun, and the vertical convection of air is vigorous, and the carbon emission pollutants can be transported upward to a higher space to a certain extent. Dilution; at night, the ground cools rapidly, and the cold air in the upper air sinks, forming an extremely stable "inversion layer", which in turn presses the carbon emission pollutants close to the ground, and the concentration of ground carbon emission pollutants rises sharply, causing serious haze.

[0042] For coastal areas, the impact on the environment of carbon emission during the day will be greater than that at night; during the day, the land warms up faster than the sea, and then forms sea winds blowing from the sea to the land, and the carbon emission pollutants will be transported to the city by this air flow, causing the city air quality to deteriorate; at night, the land cools faster than the sea, forming land winds blowing from the land to the sea, and this wind will take the carbon emission pollutants away from the city and blow to the vast sea, and be greatly diluted and dispersed.

[0043] For offshore areas, the impact on the environment of carbon emission during the day will be less than that at night; during the day, the sea surface is heated, and the vertical convection of air is relatively vigorous, and the carbon emission pollutants can be transported upward to a higher space and be quickly dispersed and diluted by the sea breeze; at night, the convection above the sea surface weakens, and the carbon emission pollutants are more likely to gather near the sea surface, although the impact on the land is small, but it will cause more serious local impact on the marine ecosystem.

[0044] Therefore, in some embodiments of the present specification, the carbon emission impact sub-data of the vehicle is obtained based on the carbon emission influence factor data corresponding to each of the different location blocks passed by the vehicle in the transportation scheme and the block carbon emission amount corresponding to each of the different location blocks in which the vehicle is located in the transportation scheme, comprising: Obtaining a second factor adjustment function corresponding to each of the different location blocks, which can adjust the corresponding carbon emission influence factor data according to the time period data; Obtaining the time period data corresponding to each of the different location blocks in which the vehicle is located in the transportation scheme; The carbon emission influence sub-data of the vehicle is obtained based on the carbon emission influence factor data corresponding to different location blocks passed through by the vehicle in the transportation scheme, the block carbon emission amount corresponding to each location block where the vehicle is located in the transportation scheme, the second factor adjustment function corresponding to each location block, and the time period data corresponding to each location block where the vehicle is located in the transportation scheme.

[0045] In some embodiments of the present specification, the time period data includes a time period start time and a time period end time. The construction method of the second factor adjustment function includes: establishing a multiple regression function involving a time period start time parameter, a time period end time parameter, and an adjustment factor parameter, wherein the adjustment factor is the response variable in the multiple regression function, and the time period start time and the time period end time are the explanatory variables in the multiple regression function; obtaining a data set containing a plurality of data samples, each data sample including a respective time period start time, a time period end time, and an adjustment factor (note: the adjustment factor is used to adjust the carbon emission influence factor data); solving the multiple regression function based on the data set to obtain the second factor adjustment function.

[0046] It should be noted that the 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). In mathematical expression, the multiple regression function model includes a multiple linear regression function model and a multiple nonlinear regression function model, wherein the multiple linear regression function model can be written in the form of the following equation: where Y is the dependent variable, representing the variable we want to predict or explain; are independent variables, which are explanatory variables that affect the dependent variable; is the intercept, which is the expected value of the dependent variable when all independent variables are 0; are the coefficients of the independent variables, representing the expected change in the dependent variable when the corresponding independent variable changes by one unit; is the error term, representing the random variation that the model fails to explain.

[0047] In multiple regression, our goal is to find the best coefficients so that we can accurately predict the dependent variable. For solving the multiple linear regression function model, the least squares method is usually used to estimate the coefficients.

[0048] ​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.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] In some embodiments of the present specification, the block carbon emission amount of the vehicle in the different location blocks in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in the different location blocks in the transportation scheme, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit unloading carbon emission factor data of the vehicle, and the corresponding location block and unloading amount of each unloading position on the corresponding driving route of the vehicle in the transportation scheme. The unit unloading carbon emission factor data of the vehicle is obtained. The corresponding location block and unloading amount of each unloading position on the corresponding driving route of the vehicle in the transportation scheme are obtained. The block carbon emission amount of the vehicle in the different location blocks in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in the different location blocks in the transportation scheme, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit unloading carbon emission factor data of the vehicle, and the corresponding location block and unloading amount of each unloading position on the corresponding driving route of the vehicle in the transportation scheme.

[0054] The block carbon emission amount of the vehicle in the different location blocks in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in the different location blocks in the transportation scheme, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit unloading carbon emission factor data of the vehicle, and the corresponding location block and unloading amount of each unloading position on the corresponding driving route of the vehicle in the transportation scheme, including: The block driving carbon emission amount of the vehicle in the different location blocks in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in the different location blocks in the transportation scheme and the corresponding unit distance carbon emission factor data of the vehicle. The block unloading carbon emission amount of the vehicle in the different location blocks in the transportation scheme is obtained based on the corresponding unit unloading carbon emission factor data of the vehicle and the corresponding location block and unloading amount of each unloading position on the corresponding driving route of the vehicle in the transportation scheme. The block carbon emission amount of the vehicle in the different location blocks in the transportation scheme is obtained based on the block driving carbon emission amount and the block unloading carbon emission amount of the vehicle in the different location blocks in the transportation scheme.

[0055] It can be understood that the unloading process also produces a certain amount of carbon emission, so in the embodiments of the present specification, the block carbon emission amount of the vehicle in the different location blocks in the transportation scheme also comprehensively considers the block unloading carbon emission amount of the vehicle in the different location blocks in the transportation scheme.

[0056] In some embodiments of the present disclosure, the block carbon emission amount of the vehicle in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in each of the different location blocks, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit loading carbon emission factor data of the vehicle, and the corresponding location block and loading amount of each of the loading positions on the corresponding driving route of the vehicle in the transportation scheme. The unit loading carbon emission factor data of the vehicle is obtained. The corresponding location block and loading amount of each of the loading positions on the corresponding driving route of the vehicle in the transportation scheme are obtained. The block carbon emission amount of the vehicle in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in each of the different location blocks, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit loading carbon emission factor data of the vehicle, and the corresponding location block and loading amount of each of the loading positions on the corresponding driving route of the vehicle in the transportation scheme.

[0057] The block carbon emission amount of the vehicle in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in each of the different location blocks, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit loading carbon emission factor data of the vehicle, and the corresponding location block and loading amount of each of the loading positions on the corresponding driving route of the vehicle in the transportation scheme, and the block carbon emission amount of the vehicle in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in each of the different location blocks, the corresponding unit distance carbon emission factor data of the vehicle, the corresponding unit loading carbon emission factor data of the vehicle, and the corresponding location block and loading amount of each of the loading positions on the corresponding driving route of the vehicle in the transportation scheme. The block driving carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme is obtained based on the corresponding driving distance of the vehicle in each of the different location blocks and the corresponding unit distance carbon emission factor data of the vehicle. The block loading carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme is obtained based on the corresponding unit loading carbon emission factor data of the vehicle and the corresponding location block and loading amount of each of the loading positions on the corresponding driving route of the vehicle in the transportation scheme. The block carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme is obtained based on the block driving carbon emission amount and the block loading carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme.

[0058] It can be understood that the loading process also produces certain carbon emissions, so in the embodiments of the present specification, the vehicle is located in the respective corresponding block carbon emissions of the different location blocks in the transportation scheme, and the block loading carbon emissions of the vehicle in the respective corresponding block carbon emissions of the different location blocks in the transportation scheme are also considered.

[0059] Figure 2 A structural schematic diagram of a transportation scheme formulation system considering carbon emission factors is shown, which shows some embodiments of the present disclosure. Each embodiment in the present specification is described in a progressive manner, and the same and similar parts between each embodiment can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0060] As shown in Figure 2 The formulation system can at least include: A first acquisition module acquires carbon emission influence factor information, which includes carbon emission influence factor data corresponding to different location blocks; A second acquisition module acquires goods demand information and goods supply information. The goods demand information includes demand location information, goods demand quantity information, and expected delivery time information corresponding to a plurality of demand locations. The goods supply information includes supply location information and goods inventory information corresponding to a plurality of supply locations; A third acquisition module acquires transportation tool information, which includes transportation tool location information corresponding to a plurality of transportation tools, unit distance transportation cost information corresponding to a plurality of transportation tools, unit distance carbon emission factor data corresponding to a plurality of transportation tools, and average driving speed information corresponding to a plurality of transportation tools; A construction module constructs a transportation scheme formulation model, which includes a transportation objective function and constraint condition information. The transportation objective function involves total transportation cost data, total transportation carbon emission data, and total transportation carbon emission influence data; A solution module solves a transportation scheme based on the transportation scheme formulation model, carbon emission influence factor information, goods demand information, goods supply information, and transportation tool information; 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.

[0061] 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)).

[0062] 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.

[0063] The processor 310 can be implemented by a general-purpose CPU, a microprocessor, an application specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the present application.

[0064] The memory 350 can be implemented by a ROM (Read Only Memory), a RAM (Read Access Memory), a static memory, a dynamic storage device, etc. The memory 350 can store an operating system 351 for controlling the operation of the electronic device 300, a basic input / output system (BIOS) 352 for controlling the low-level operation of the electronic device 300. In addition, a web browser 353, a data storage management system 354, etc. can also be stored. In summary, when the technical solutions provided in the present application are implemented by software or firmware, the related program codes are stored in the memory 350 and are executed by the processor 310.

[0065] The input / output interface 330 is configured to connect input / output modules to realize information input and output. The input / output modules can be configured as components in the device (not shown in the figure) or can be externally connected to the device to provide corresponding functions. The input device can include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device can include a display, a speaker, a vibrator, a prompt light, etc.

[0066] The network interface 340 is configured to connect a communication module (not shown in the figure) to realize the communication interaction between the device and other devices. The communication module can realize communication through a wired manner (such as USB, network cable, etc.) or through a wireless manner (such as mobile network, WIFI, Bluetooth, etc.).

[0067] The bus 360 includes a channel for transmitting information between various components (such as the processor 310, the disk drive 320, the input / output interface 330, the network interface 340, and the memory 350) of the device.

[0068] It should be noted that although the above device only shows the processor 310, the disk drive 320, the input / output interface 330, the network interface 340, the memory 350, the bus 360, etc., in the specific implementation process, the device can also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device can only contain the components necessary to implement the method of the present application, and does not necessarily contain all the components shown in the figure.

[0069] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, causes the machine to perform the functions / acts specified in the flowcharts and / or block diagrams. The program code can execute entirely on a machine, partly on a machine, as a stand-alone software package, partly on a machine and partly on a remote machine or entirely on a remote machine or server.

[0070] In the context of the present disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include a lined paper, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. Further, while operations are depicted in a particular, chronological order, this should not be understood as requiring or implying that the operations be performed in that order - and certainly that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing can be advantageous. Likewise, while specific implementations are discussed herein, these should not be understood to limit the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in subcombination or in a variety of combinations. The machine-readable medium can include a non-transitory machine-readable medium. Alternatively or additionally, the machine-readable medium can include a transitory machine-readable medium.

[0071] Although the subject matter has been described in language specific to structural features and / or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A traffic transport plan making method considering a carbon emission factor, characterized by, The method comprises the following steps: obtaining carbon emission influence factor information, wherein the carbon emission influence factor information comprises carbon emission influence factor data corresponding to different location blocks; obtaining goods demand information and goods supply information, wherein the goods demand information comprises demand location information, goods demand quantity information and expected delivery time information corresponding to a plurality of demand locations, and the goods supply information comprises supply location information and goods inventory information corresponding to a plurality of supply locations; obtaining transportation tool information, wherein the transportation tool information comprises transportation tool location information corresponding to a plurality of transportation tools, unit distance transportation cost information corresponding to a plurality of transportation tools, unit distance carbon emission quantity factor data corresponding to a plurality of transportation tools, and average driving speed information corresponding to a plurality of transportation tools; constructing a transportation scheme formulation model, wherein the transportation scheme formulation model comprises a transportation objective function and constraint condition information, and the transportation objective function involves total transportation cost data, total transportation carbon emission quantity data and total transportation carbon emission influence data; solving the transportation scheme based on the transportation scheme formulation model, the carbon emission influence factor information, the goods demand information, the goods supply information and the transportation tool information; wherein the total transportation carbon emission influence data is obtained based on carbon emission influence sub-data corresponding to a plurality of transportation tools involved in the transportation scheme, and the carbon emission influence sub-data of the transportation tool is obtained based on driving distance of the transportation tool in the transportation scheme in different location blocks, carbon emission influence factor data of different location blocks passed by the transportation tool in the transportation scheme and unit distance carbon emission quantity factor data corresponding to the transportation tool.

2. The method of claim 1, wherein, The obtaining of the carbon emission influence sub-data of the transportation tool comprises: obtaining block carbon emission quantity of the transportation tool in different location blocks in the transportation scheme based on driving distance of the transportation tool in the transportation scheme in different location blocks and unit distance carbon emission quantity factor data corresponding to the transportation tool; obtaining the carbon emission influence sub-data of the transportation tool based on carbon emission influence factor data of different location blocks passed by the transportation tool in the transportation scheme and block carbon emission quantity of the transportation tool in different location blocks in the transportation scheme.

3. The method of claim 2, wherein, The obtaining of the block carbon emission quantity of the transportation tool in different location blocks in the transportation scheme based on driving distance of the transportation tool in the transportation scheme in different location blocks and unit distance carbon emission quantity factor data corresponding to the transportation tool comprises: obtaining a first factor adjustment function corresponding to the transportation tool, wherein the first factor adjustment function is used to adjust the unit distance carbon emission quantity factor data corresponding to the transportation tool according to load data of the transportation tool; obtaining load data of the transportation tool in different location blocks in the transportation scheme; and adjusting the unit distance carbon emission quantity factor data corresponding to the transportation tool based on the first factor adjustment function and the load data of the transportation tool in different location blocks in the transportation scheme. The block carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme is obtained based on the respective driving distance of the vehicle in each of the different location blocks in the transportation scheme, the unit distance carbon emission factor data corresponding to the vehicle, the first factor adjustment function corresponding to the vehicle, and the respective load data of the vehicle in each of the different location blocks in the transportation scheme.

4. The method for making a transportation plan considering carbon emission factors according to claim 3, wherein, The load data of the vehicle in each of the different location blocks in the transportation scheme is obtained by: obtaining a load-time curve of the vehicle in each of the different location blocks in the transportation scheme, wherein the load-time curve does not include relevant data in a stop state of the vehicle; and obtaining an average load of the vehicle in each of the different location blocks in the transportation scheme based on the load-time curve of the vehicle in each of the different location blocks in the transportation scheme.

5. The method for making a transportation plan considering carbon emission factors according to claim 2, wherein, The carbon emission influence sub-data of the vehicle is obtained based on the carbon emission influence factor data corresponding to each of the different location blocks passed through by the vehicle in the transportation scheme and the block carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme, and comprises: obtaining a second factor adjustment function corresponding to each of the different location blocks, which can adjust the carbon emission influence factor data corresponding to each of the different location blocks according to time period data; obtaining the time period data of the vehicle in each of the different location blocks in the transportation scheme; and obtaining the carbon emission influence sub-data of the vehicle based on the carbon emission influence factor data corresponding to each of the different location blocks passed through by the vehicle in the transportation scheme, the block carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme, the second factor adjustment function corresponding to each of the different location blocks, and the time period data of the vehicle in each of the different location blocks in the transportation scheme.

6. The method for making a transportation plan considering carbon emission factors according to claim 5, wherein, The time period data comprises a start time of the time period and an end time of the time period. The second factor adjustment function is constructed by: establishing a multiple regression function involving a start time parameter of the time period, an end time parameter of the time period, and an adjustment factor parameter, wherein the adjustment factor is a response variable in the multiple regression function, and the start time of the time period and the end time of the time period are explanatory variables in the multiple regression function; obtaining a data set comprising a plurality of data samples, each of which comprises respective start time of the time period, end time of the time period, and adjustment factor; solving the multiple regression function based on the data set to obtain the second factor adjustment function.

7. The method for making a transportation plan considering carbon emission factors according to claim 2, wherein, The vehicle information further comprises unit cargo loading time and unit cargo unloading time corresponding to each of a plurality of vehicles.

8. The method for making a transportation plan considering carbon emission factors according to claim 7, wherein, The block carbon emission amount of the vehicle in each of the different location blocks in the transportation scheme is obtained based on the respective driving distance of the vehicle in each of the different location blocks in the transportation scheme, the unit distance carbon emission factor data corresponding to the vehicle, the first factor adjustment function corresponding to the vehicle, and the respective load data of the vehicle in each of the different location blocks in the transportation scheme. Obtain the unit unloading carbon emission factor data corresponding to the transportation tool; Obtain the location blocks to which all the unloading locations on the corresponding driving route in the transportation scheme correspond and the unloading quantities of the transportation tool; Obtain the block carbon emission data of the transportation tool in different location blocks in the transportation scheme based on the driving distances of the transportation tool in different location blocks in the transportation scheme, the unit distance carbon emission factor data corresponding to the transportation tool, the unit unloading carbon emission factor data corresponding to the transportation tool, the location blocks to which all the unloading locations on the corresponding driving route in the transportation scheme correspond and the unloading quantities of the transportation tool.

9. The method for making a transportation plan considering carbon emission factors according to claim 7, wherein, The block carbon emission data of the transportation tool in different location blocks in the transportation scheme is obtained based on the driving distances of the transportation tool in different location blocks in the transportation scheme and the unit distance carbon emission factor data corresponding to the transportation tool, and includes: Obtain the unit loading carbon emission factor data corresponding to the transportation tool; Obtain the location blocks to which all the loading locations on the corresponding driving route in the transportation scheme correspond and the loading quantities of the transportation tool; Obtain the block carbon emission data of the transportation tool in different location blocks in the transportation scheme based on the driving distances of the transportation tool in different location blocks in the transportation scheme, the unit distance carbon emission factor data corresponding to the transportation tool, the unit loading carbon emission factor data corresponding to the transportation tool, the location blocks to which all the loading locations on the corresponding driving route in the transportation scheme correspond and the loading quantities of the transportation tool.

10. A transportation planning system considering carbon emission factors, characterized by, It includes: The first obtaining module obtains carbon emission influence factor information, and the carbon emission influence factor information includes carbon emission influence factor data corresponding to different location blocks; The second obtaining module obtains goods demand information and goods supply information, and the goods demand information includes demand location information, goods demand quantity information and expected delivery time information corresponding to a plurality of demand locations, and the goods supply information includes supply location information and goods inventory information corresponding to a plurality of supply locations; The third obtaining module obtains transportation tool information, and the transportation tool information includes transportation tool location information corresponding to a plurality of transportation tools, unit distance transportation cost information corresponding to a plurality of transportation tools, unit distance carbon emission factor data corresponding to a plurality of transportation tools and average driving speed information corresponding to a plurality of transportation tools; The construction module constructs a transportation scheme formulation model, and the transportation scheme formulation model includes a transportation objective function and constraint condition information, and the transportation objective function involves total transportation cost data, total transportation carbon emission data and total transportation carbon emission influence data; The solving module solves a transportation scheme based on the transportation scheme formulation model, the carbon emission influence factor information, the goods demand information, the goods supply information and the transportation tool information. The total carbon emission influence data of the transportation is obtained based on carbon emission influence sub-data of a plurality of vehicles involved in the transportation scheme, and the carbon emission influence sub-data of the vehicle is obtained based on driving distance of the vehicle in each corresponding location block in the transportation scheme, carbon emission influence factor data of each corresponding location block passed by the vehicle, and unit distance carbon emission factor data corresponding to the vehicle.

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