A method and system for tracking carbon emission trajectories of regional motor vehicles on roads

Abstract

The present invention discloses a method and system for tracking the carbon emission trajectory of regional motor vehicles on roads, and relates to the technical field of motor vehicle carbon emission tracking. The method comprises: acquiring in real time the driving information of motor vehicles at multiple locations in a region, wherein the driving information of the motor vehicle comprises: the mass of the motor vehicle, the acceleration of the motor vehicle, the air density, the air resistance coefficient of the motor vehicle, the frontal windward area of ​​the motor vehicle, the speed of the motor vehicle, the fuel consumption rate and the road slope angle; setting a carbon emission trajectory tracking model, and calculating the motor vehicle carbon emission index of the motor vehicle at each location according to the driving information of the motor vehicle; displaying all the carbon emission indexes of the motor vehicle to a user according to time and location, and issuing an alarm message when the carbon emission index of the motor vehicle exceeds a threshold value to complete the carbon emission trajectory tracking.

Description

Technical Field

[0001] The present invention belongs to the technical field of motor vehicle carbon emission trajectory tracking, and more specifically, relates to a method and system for tracking regional motor vehicle road carbon emission trajectory. Background Art

[0002] Motor vehicle carbon emissions generally refer to the carbon dioxide (CO2) and other greenhouse gases emitted into the atmosphere during the operation of motor vehicles. The following are the key aspects of motor vehicle carbon emissions:

[0003] Sources of carbon emissions:

[0004] Fuel combustion: Motor vehicles mainly generate energy by burning gasoline, diesel or other fuels in internal combustion engines. This combustion process releases carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NO X ), hydrocarbons (HC) and other pollutants.

[0005] Fuel type: Different types of fuel result in different levels of carbon emissions. For example, diesel vehicles generally emit more carbon dioxide than gasoline vehicles, but they emit fewer hydrocarbons.

[0006] Distance and speed: Carbon emissions are closely related to the distance and speed a vehicle travels. Frequent stops and starts in urban traffic increase emissions.

[0007] Impact of carbon emissions:

[0008] Greenhouse effect: Carbon dioxide is one of the main greenhouse gases. Carbon emissions from motor vehicles increase the concentration of carbon dioxide in the atmosphere, leading to global warming.

[0009] Air quality: In addition to carbon dioxide, motor vehicles also emit other harmful substances that have a negative impact on air quality and thus endanger human health.

[0010] Therefore, there is an urgent need for a technical solution that can monitor the carbon emission trajectories of motor vehicles traveling on regional roads in real time. Summary of the invention

[0011] In order to solve the above technical problems, the present invention proposes a method for tracking carbon emission trajectories of regional motor vehicle roads, comprising:

[0012] Real-time acquisition of motor vehicle driving information at multiple locations in the area, wherein the motor vehicle driving information includes: motor vehicle mass, motor vehicle acceleration, air density, motor vehicle air resistance coefficient, motor vehicle frontal area, motor vehicle speed, fuel consumption rate and road slope angle;

[0013] Setting a carbon emission trajectory tracking model, and calculating a motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information;

[0014] The carbon emission index of all the motor vehicles is displayed to the user according to the time and location. When the carbon emission index of the motor vehicle exceeds a threshold, an alarm message is issued to complete the carbon emission trajectory tracking.

[0015] Furthermore, the carbon emission trajectory tracking model includes:

[0016] ,

[0017] in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions.

[0018] Furthermore, the first carbon emission adjustment factor include:

[0019] ,

[0020] in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight.

[0021] Furthermore, the second carbon emission adjustment factor include:

[0022] ,

[0023] in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, The fourth weight.

[0024] Furthermore, the fourth carbon emission adjustment factor include:

[0025] ,

[0026] in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, The sixth weight.

[0027] The present invention also proposes a regional motor vehicle road carbon emission trajectory tracking system, comprising:

[0028] An information acquisition module is used to acquire the driving information of motor vehicles at multiple locations in the area in real time, wherein the driving information of motor vehicles includes: the mass of the motor vehicle, the acceleration of the motor vehicle, the air density, the air resistance coefficient of the motor vehicle, the frontal windward area of ​​the motor vehicle, the speed of the motor vehicle, the fuel consumption rate and the road slope angle;

[0029] A model setting module is used to set a carbon emission trajectory tracking model and calculate the motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information;

[0030] The trajectory tracking module is used to display the carbon emission index of all the motor vehicles to the user according to time and location. When the carbon emission index of the motor vehicle exceeds a threshold, an alarm message is issued to complete the carbon emission trajectory tracking.

[0031] Furthermore, the carbon emission trajectory tracking model includes:

[0032] ,

[0033] in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions.

[0034] Furthermore, the first carbon emission adjustment factor include:

[0035] ,

[0036] in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight.

[0037] Furthermore, the second carbon emission adjustment factor include:

[0038] ,

[0039] in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, The fourth weight.

[0040] Furthermore, the fourth carbon emission adjustment factor include:

[0041] ,

[0042] in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, The sixth weight.

[0043] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0044] Through the above technical solution, the present invention can accurately monitor the carbon emission trajectory of motor vehicles traveling on regional roads and display it to users. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0046] Figure 2 It is a structural diagram of the system of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0047] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0048] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0049] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0050] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0051] The display screen is used to display the user interface of each application.

[0052] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0053] Example 1

[0054] like Figure 1 As shown, an embodiment of the present invention provides a method for tracking carbon emission trajectories of regional motor vehicle roads, comprising:

[0055] Step 101, obtaining in real time the driving information of motor vehicles at multiple locations in the area, wherein the driving information of motor vehicles includes: the mass of the motor vehicle, the acceleration of the motor vehicle, the air density, the air resistance coefficient of the motor vehicle, the frontal windward area of ​​the motor vehicle, the speed of the motor vehicle, the fuel consumption rate and the road slope angle;

[0056] Step 102, setting a carbon emission trajectory tracking model, and calculating the motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information;

[0057] Specifically, the carbon emission trajectory tracking model includes:

[0058] ,

[0059] in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions.

[0060] Specifically, the first carbon emission adjustment factor include:

[0061] ,

[0062] in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight.

[0063] Specifically, the second carbon emission adjustment factor include:

[0064] ,

[0065] in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, The fourth weight.

[0066] Specifically, the fourth carbon emission adjustment factor include:

[0067] ,

[0068] in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, The sixth weight.

[0069] Specifically, all adjustment factors and weights are fitted by gradient descent method or ant colony algorithm.

[0070] Step 103, displaying the carbon emission index of all the motor vehicles to the user according to time and location, and issuing an alarm message when the carbon emission index of the motor vehicle exceeds a threshold value to complete the carbon emission trajectory tracking.

[0071] Specifically, the time Time at location The carbon emission index of motor vehicles at a certain location is marked in a graph with time as the horizontal axis and location as the vertical axis for display to users.

[0072] Example 2

[0073] like Figure 2 As shown, an embodiment of the present invention further provides a regional motor vehicle road carbon emission trajectory tracking system, comprising:

[0074] An information acquisition module is used to acquire the driving information of motor vehicles at multiple locations in the area in real time, wherein the driving information of motor vehicles includes: the mass of the motor vehicle, the acceleration of the motor vehicle, the air density, the air resistance coefficient of the motor vehicle, the frontal windward area of ​​the motor vehicle, the speed of the motor vehicle, the fuel consumption rate and the road slope angle;

[0075] A model setting module is used to set a carbon emission trajectory tracking model and calculate the motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information;

[0076] Specifically, the carbon emission trajectory tracking model includes:

[0077] ,

[0078] in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions.

[0079] Specifically, the first carbon emission adjustment factor include:

[0080] ,

[0081] in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight.

[0082] Specifically, the second carbon emission adjustment factor include:

[0083] ,

[0084] in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, The fourth weight.

[0085] Specifically, the fourth carbon emission adjustment factor include:

[0086] ,

[0087] in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, The sixth weight.

[0088] Specifically, all adjustment factors and weights are fitted by gradient descent method or ant colony algorithm.

[0089] The trajectory tracking module is used to display the carbon emission index of all the motor vehicles to the user according to time and location. When the carbon emission index of the motor vehicle exceeds a threshold, an alarm message is issued to complete the carbon emission trajectory tracking.

[0090] Specifically, the time Time at location The carbon emission index of motor vehicles at a certain location is marked in a graph with time as the horizontal axis and location as the vertical axis for display to users.

[0091] Example 3

[0092] An embodiment of the present invention further proposes a storage medium storing a plurality of instructions, wherein the instructions are used to implement the method for tracking the carbon emission trajectory of a regional motor vehicle road.

[0093] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0094] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining in real time the driving information of motor vehicles at multiple locations in a region, wherein the driving information of the motor vehicle includes: the mass of the motor vehicle, the acceleration of the motor vehicle, the air density, the air resistance coefficient of the motor vehicle, the frontal windward area of ​​the motor vehicle, the speed of the motor vehicle, the fuel consumption rate and the road slope angle;

[0095] Step 102, setting a carbon emission trajectory tracking model, and calculating the motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information;

[0096] Specifically, the carbon emission trajectory tracking model includes:

[0097] ,

[0098] in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions.

[0099] Specifically, the first carbon emission adjustment factor include:

[0100] ,

[0101] in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight.

[0102] Specifically, the second carbon emission adjustment factor include:

[0103] ,

[0104] in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, The fourth weight.

[0105] Specifically, the fourth carbon emission adjustment factor include:

[0106] ,

[0107] in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, The sixth weight.

[0108] Specifically, all adjustment factors and weights are fitted by gradient descent method or ant colony algorithm.

[0109] Step 103, displaying the carbon emission index of all the motor vehicles to the user according to time and location, and issuing an alarm message when the carbon emission index of the motor vehicle exceeds a threshold value to complete the carbon emission trajectory tracking.

[0110] Specifically, the time Time at location The carbon emission index of motor vehicles at a certain location is marked in a graph with time as the horizontal axis and location as the vertical axis for display to users.

[0111] Example 4

[0112] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the method for tracking the carbon emission trajectory of a regional motor vehicle road.

[0113] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0114] Among them, the storage medium can be used to store software programs and modules, such as a method for tracking carbon emission trajectories of regional motor vehicle roads in an embodiment of the present invention, and corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned method for tracking carbon emission trajectories of regional motor vehicle roads. The storage medium may include high-speed random storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0115] The processor can call the information and application program stored in the storage medium through the transmission system to execute the following steps: Step 101, real-time acquisition of motor vehicle driving information at multiple locations in the area, wherein the motor vehicle driving information includes: motor vehicle mass, motor vehicle acceleration, air density, motor vehicle air resistance coefficient, motor vehicle frontal windward area, motor vehicle speed, fuel consumption rate and road slope angle;

[0116] Step 102, setting a carbon emission trajectory tracking model, and calculating the motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information;

[0117] Specifically, the carbon emission trajectory tracking model includes:

[0118] ,

[0119] in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions.

[0120] Specifically, the first carbon emission adjustment factor include:

[0121] ,

[0122] in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight.

[0123] Specifically, the second carbon emission adjustment factor include:

[0124] ,

[0125] in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, The fourth weight.

[0126] Specifically, the fourth carbon emission adjustment factor include:

[0127] ,

[0128] in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, The sixth weight.

[0129] Specifically, all adjustment factors and weights are fitted by gradient descent method or ant colony algorithm.

[0130] Step 103, displaying the carbon emission index of all the motor vehicles to the user according to time and location, and issuing an alarm message when the carbon emission index of the motor vehicle exceeds a threshold value to complete the carbon emission trajectory tracking.

[0131] Specifically, the time Time at location The carbon emission index of motor vehicles at a certain location is marked in a graph with time as the horizontal axis and location as the vertical axis for display to users.

[0132] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0133] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0134] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0135] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0136] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0137] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0138] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for tracking carbon emission trajectories of regional motor vehicle roads, characterized in that: include: Real-time acquisition of motor vehicle driving information at multiple locations in the area, wherein the motor vehicle driving information includes: motor vehicle mass, motor vehicle acceleration, air density, motor vehicle air resistance coefficient, motor vehicle frontal area, motor vehicle speed, fuel consumption rate and road slope angle; Setting a carbon emission trajectory tracking model, and calculating a motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information; The carbon emission trajectory tracking model includes: ， in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions; The first carbon emission adjustment factor include: ， in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight; Carbon Emissions Second Adjustment Factor include: ， in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, is the fourth weight; The fourth carbon emission adjustment factor include: ， in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, is the sixth weight; The carbon emission index of all the motor vehicles is displayed to the user according to the time and location. When the carbon emission index of the motor vehicle exceeds a threshold, an alarm message is issued to complete the carbon emission trajectory tracking.

2. A regional motor vehicle road carbon emission trajectory tracking system, characterized in that: include: An information acquisition module is used to acquire the driving information of motor vehicles at multiple locations in the area in real time, wherein the driving information of motor vehicles includes: the mass of the motor vehicle, the acceleration of the motor vehicle, the air density, the air resistance coefficient of the motor vehicle, the frontal windward area of ​​the motor vehicle, the speed of the motor vehicle, the fuel consumption rate and the road slope angle; A model setting module is used to set a carbon emission trajectory tracking model and calculate the motor vehicle carbon emission index of the motor vehicle at each location according to the motor vehicle driving information; The carbon emission trajectory tracking model includes: ， in, For time Time at location The carbon emission index of motor vehicles at is the starting time of the motor vehicle’s travel, is the first adjustment factor for carbon emissions, is the mass of the motor vehicle, For time The vehicle acceleration, is the air density, is the air resistance coefficient of the vehicle, is the frontal windward area of ​​the motor vehicle, For time The speed of the vehicle, is the second adjustment factor for carbon emissions, For time Fuel consumption rate, For the location The road slope angle at is the third adjustment factor for carbon emissions, is the fourth adjustment factor for carbon emissions, It is the fifth adjustment factor for carbon emissions; The first carbon emission adjustment factor include: ， in, is the first weight, is the adjustment factor for the vehicle mass, is the first adjustment factor for the average speed, is the average speed of vehicles, is the average road slope for motor vehicles, is the first adjustment factor for the average road slope, is the second weight; Carbon Emissions Second Adjustment Factor include: ， in, is the third weight, is the average acceleration of the vehicle, is the first adjustment factor for the average acceleration, is the second adjustment factor for the average speed, is the fourth weight; The fourth carbon emission adjustment factor include: ， in, is the fifth weight, is the third adjustment factor for the average speed, is the second adjustment factor for the average acceleration, is the second adjustment factor for the average road slope, is the sixth weight; The trajectory tracking module is used to display the carbon emission index of all the motor vehicles to the user according to time and location. When the carbon emission index of the motor vehicle exceeds a threshold, an alarm message is issued to complete the carbon emission trajectory tracking.

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