Highway traffic operation carbon emission monitoring and calculating method

Abstract

The invention discloses a highway traffic operation carbon emission monitoring and calculating method, which comprises the following steps of: classifying vehicles running on a highway according to vehicle types, and establishing a carbon emission correction model of a carbon emission coefficient and a longitudinal slope rate of the vehicle type through a real vehicle test; arranging a monitor in the section of a target highway section, and acquiring basic information and driving information of vehicles passing through the section through the monitor; a carbon emission factor method is adopted to calculate the carbon emission Cm before correction of the vehicle m in the highway section interval; and S3, according to the carbon emission correction model established in the step S1, in combination with the average longitudinal slope ratio of the road section, correcting the carbon emission Cm before correction in the step S3, and obtaining the carbon emission C after correction of the vehicle m in the specified highway road section interval. According to the calculation method, available information is fully utilized from the perspective of an expressway operation management party, and the expressway traffic operation carbon emission monitoring calculation precision is improved.

Description

Technical Field

[0001] The present invention relates to the field of highway carbon emission detection methods, and in particular to a method for monitoring and calculating carbon emissions from highway traffic operation. Background Art

[0002] As an integral part of modern transportation, existing highways pose a significant environmental impact due to their carbon emissions. Calculating carbon emissions from highways has become a growing concern within the transportation sector, particularly in the area of ​​monitoring. Traffic emissions primarily stem from vehicle movement. Currently, the MOVES model, based on vehicle specific power, is the primary method used to predict vehicle carbon emissions. However, this model requires detailed vehicle travel data, such as second-by-second speed and acceleration. In practical highway monitoring, this data is typically only available for sections or smaller road segments, failing to capture complete data for all vehicles traveling on the highway. While it is feasible to calculate carbon emissions solely based on distance traveled and gasoline carbon emission factors, using vehicle information acquired through monitoring and fuel consumption metrics, this method suffers from low accuracy. Vehicle carbon emissions are influenced by numerous factors, particularly road grade. Therefore, a method is urgently needed that can accurately reflect the carbon emissions of vehicles traveling on highways. Summary of the Invention

[0003] In response to the above problems, the present invention aims to provide a method for monitoring and calculating carbon emissions from highway traffic operations.

[0004] To achieve this technical objective, the present invention provides a method for monitoring and calculating carbon emissions from highway traffic operations, comprising the following specific steps:

[0005] S1. Classify vehicles on highways by vehicle type. For each type of vehicle, establish a carbon emission correction model based on the carbon emission coefficient and longitudinal slope rate through actual vehicle testing.

[0006] S2. Deploy monitors along the target highway section to obtain basic information and driving information of vehicles passing through the section;

[0007] S3. Obtain the vehicle's energy consumption per 100 kilometers and use the carbon emission factor method to calculate the pre-corrected carbon emissions C of vehicle m on the highway section. m ;

[0008] S4, based on the carbon emission correction model established in step S1, combined with the average longitudinal slope of the road section, the carbon emission before correction C in step S3 is calculated. mCorrection is performed to obtain the corrected carbon emissions C of the vehicle m on the specified highway section.

[0009] Preferably, in step S1, when the longitudinal slope is less than -2%, the engine is in an idling state, and the carbon emission coefficient is recorded as a constant d. When the longitudinal slope is greater than or equal to -2%, the carbon emission coefficient and the longitudinal slope are linearly related. The relationship between the two in the correction model can be expressed as:

[0010]

[0011] Where:

[0012] K s -Vehicle carbon emission coefficient, directly obtained during the test, in g / km;

[0013] x-measured longitudinal slope, directly obtained during the test, in %;

[0014] a, b, d—parameters representing the relationship between the carbon emission coefficient of the test vehicle and the longitudinal slope, obtained through post-test fitting.

[0015] Preferably, in step S3, the carbon emission factor method is used to calculate the pre-corrected carbon emissions of vehicle m on the highway section, and the calculation formula is as follows:

[0016]

[0017] Where:

[0018] C m - the uncorrected carbon emissions of vehicle m traveling on the highway before longitudinal grade correction;

[0019] f-vehicle m is the fuel consumption index per 100 kilometers at high speed, in L / km;

[0020] L - the total length of the route traveled by vehicle m;

[0021] EF - Carbon emission factor of vehicle fuel, in g / L.

[0022] As a preferred method, the calculation formula of its carbon emission factor EF is:

[0023]

[0024] Where:

[0025] CC-average lower heating value of fuel;

[0026] OF-fuel carbon oxidation rate;

[0027] QDW-low heating value of fuel;

[0028] -CO2 / C mass ratio;

[0029] ρ - fuel density, the values ​​include diesel and gasoline, gasoline can be 0.74g / L, diesel can be 0.84g / L; the unit calorific value of the fuel carbon content, carbon oxidation rate, average low heating value can adopt the recommended values ​​of the "Provincial Greenhouse Gas Inventory Compilation Guidelines".

[0030] As a preferred method, a longitudinal slope information database is established through design drawings; the carbon emission calculation results before correction are corrected based on the longitudinal slope, and the corrected calculation formula is as follows:

[0031]

[0032] Where: C is the corrected carbon emissions of vehicle m when driving on the highway after longitudinal slope correction;

[0033] γ i - the slope of the i-th longitudinal slope with a slope greater than or equal to -2% within the road section passed by vehicle m;

[0034] l i - the length of the i-th longitudinal slope with a gradient greater than or equal to -2% within the road section passed by vehicle m;

[0035] l0-the total length of the longitudinal slope with a gradient less than -2% within the road section passed by vehicle m;

[0036] L - the total length of the route traveled by vehicle m.

[0037] Preferably, in step S2, monitors are installed at the starting point, end point, and entrances and exits of each toll station of the highway section. When the vehicle m enters and exits the highway through two monitors, the total route length L of the vehicle m and the longitudinal slope information within the section can be obtained through the design drawings.

[0038] Preferably, in step S3, the energy consumption index per 100 kilometers of the corresponding vehicle is obtained through the China Automobile Energy Consumption Query Platform of the Ministry of Industry and Information Technology. When the road surface is a highway, the fuel consumption index under high-speed state is used for calculation.

[0039] The beneficial effects of the present invention are as follows: compared with traditional carbon emission calculation models that require the acquisition of complete vehicle driving data, it is difficult for highway operation and management units or carbon emission monitors to obtain complete driving data of all vehicles; the calculation method of the present invention fully utilizes the available information from the perspective of highway operation and management, and only needs to add a few monitors to capture vehicle passing points. The number of monitors deployed is small and the operating cost is low; at the same time, comparative experiments show that the carbon emission data obtained after correction using the carbon emission correction model of this application is basically consistent with the measured data, with a small error, and can greatly improve the calculation accuracy of carbon emission monitoring of highway traffic operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a flow chart of the present invention;

[0041] Figure 2 This is a diagram showing the arrangement of the monitors of the present invention;

[0042] Figure 3 This is a relationship diagram between the measured longitudinal slope rate and the carbon emission index of the present invention;

[0043] Figure 4 This is a comparison chart of the actual measurement results of the present invention and the calculation results before and after the model correction. DETAILED DESCRIPTION

[0044] The invention of this application is further described in detail below with reference to the accompanying drawings and specific embodiments. In order to clearly and completely describe the technical solution, the following embodiments are selected for illustration; other embodiments obtained based on the contents recorded in this application without creative work are all within the scope of protection of this invention.

[0045] like Figure 1-4 As shown, the specific embodiment of the present invention is a method for monitoring and calculating carbon emissions from highway traffic operation, and the specific steps are as follows:

[0046] S101. Classify vehicles on highways by vehicle type (e.g., according to the "Vehicle Type Classification for Toll Road Vehicles"). For each vehicle type, establish a carbon emission correction model based on the carbon emission coefficient and longitudinal slope rate through actual vehicle testing.

[0047] When the longitudinal slope is less than -2%, the engine is in idle state and the carbon emission coefficient is recorded as a constant d. When the longitudinal slope is greater than or equal to -2%, the carbon emission coefficient and the longitudinal slope are linearly related. The relationship between the two in the modified model can be expressed as:

[0048]

[0049] (1) Where: K s -Vehicle carbon emission coefficient, directly obtained during the test, in g / km;

[0050] x-measured longitudinal slope, directly obtained during the test, in %;

[0051] a, b, and d—parameters representing the relationship between the carbon emission coefficient of the test vehicle and longitudinal slope, obtained through post-test fitting. These parameters can be applied to other highways besides the test highway. Similarly, if there are referenced actual measured cases, they can be directly referenced without the need for actual vehicle testing.

[0052] S102. Monitors are arranged along the target highway section to obtain basic information and driving information of vehicles passing through the section through the monitors. In step S2, monitors 1-n are installed at the starting point, end point, and entrances and exits of the highway section, respectively, to ensure that any passing vehicle must pass through two monitors. When vehicle m enters or exits the highway through the two monitors, detailed information about the vehicle is obtained, including but not limited to the license plate number, vehicle type classification, and vehicle model. The total route length L of vehicle m and longitudinal slope information within the section can be obtained through the design drawings.

[0053] S103: Obtain the vehicle's energy consumption per 100 kilometers and calculate the pre-corrected carbon emissions C of vehicle m on the highway section using the carbon emission factor method. m The carbon emission factor method is used to calculate the carbon emissions of vehicle m on the highway section before correction. The calculation formula is as follows:

[0054]

[0055] (2) Where: C m - the pre-correction carbon emissions of vehicle m on the highway before longitudinal slope correction; f - the fuel consumption per 100 kilometers of vehicle m at high speed, in L / km; L - the total length of the route traveled by vehicle m; EF - the carbon emission factor of the fuel of vehicle m, in g / L.

[0056] The EF value includes two categories: diesel and gasoline. The calculation formula of its carbon emission factor is:

[0057]

[0058] (3) Where: CC is the average lower heating value of the fuel; OF is the carbon oxidation rate of the fuel;

[0059] QDW-low heating value of fuel; -CO2 / C mass ratio;

[0060] ρ is the fuel density, which can be 0.74 g / L for gasoline and 0.84 g / L for diesel. The carbon content per unit calorific value, carbon oxidation rate, and average lower heating value of the fuel can be based on the recommended values ​​in the "Guidelines for the Compilation of Provincial Greenhouse Gas Inventories." Therefore, the EF value can be calculated as shown in Table 1.

[0061] Table 1: Fuel parameters and carbon emission factors

[0062]

[0063] S104: Based on the carbon emission correction model established in step S1 and the average longitudinal slope of the road section, the carbon emission before correction C in step S3 is calculated. m Correction is performed to obtain the corrected carbon emissions C of the vehicle m on the specified highway section.

[0064] Preliminary preparations such as establishing a longitudinal slope information database based on design drawings are made to quickly obtain road longitudinal slope information. The carbon emission calculation results before correction are corrected based on the longitudinal slope. The corrected calculation formula is as follows:

[0065]

[0066] (4) Where: C is the corrected carbon emissions of vehicle m when driving on the highway after longitudinal slope correction; γ i - the slope of the i-th longitudinal slope with a slope greater than or equal to -2% within the road section passed by vehicle m; i -The length of the i-th longitudinal slope with a gradient greater than or equal to -2% within the road section passed by vehicle m; l0-The total length of the longitudinal slope with a gradient less than -2% within the road section passed by vehicle m; L-The total length of the route traveled by vehicle m.

[0067] S105. Through steps S101-S104, the carbon emissions generated by a vehicle passing through the highway can be calculated. Similarly, steps S101-S104 are calculated once for all vehicles passing through the highway, and the data is summarized to calculate the total carbon emissions M of highway traffic operation.

[0068] Example 1

[0069] A method for monitoring and calculating carbon emissions from highway traffic operation based on longitudinal slope correction includes the following steps:

[0070] 1) Determine the relationship between carbon emission coefficient and longitudinal slope. For light gasoline passenger cars, namely Type I passenger cars (according to the "Toll Road Vehicle Toll Classification"), a real vehicle test was conducted on a certain highway. By reading the second-by-second carbon emission, speed and slope information, after data analysis, it can be seen that the relationship between carbon emission coefficient and longitudinal slope is as follows: Figure 3As shown, the relevant parameters a = 25.347, b = 119.07, c = 47.539, and their relationship expressions are expressed as follows:

[0071]

[0072] 2) Obtain the longitudinal slope information of the road section where the vehicle is traveling.

[0073] Table 2: Longitudinal slope information of each road section

[0074]

[0075]

[0076] The test vehicle traveled a total of 57.451 km on a certain highway. To verify the accuracy of the results, the road was divided into six sections. Partial longitudinal slope information for Sections 1 and 2 is shown in Table 2.

[0077] 3) Calculate vehicle carbon emissions and correct the results. According to the Ministry of Industry and Information Technology's China Automotive Energy Consumption Query Platform, the test vehicle was a Nissan Teana, with a comprehensive fuel consumption index of 6.41L / 100km. Since the vehicle was on a highway, the higher-speed fuel consumption index of 5.48L / 100km is more accurate.

[0078] Table 3: Calculation results of carbon emissions from vehicles on each road section

[0079]

[0080]

[0081] Substitute into formula (2) to calculate the carbon emissions generated by vehicle driving, and combine with the longitudinal slope data in Table 2, and correct the result according to formula (4). The calculation results of each road section are shown in Table 3.

[0082] Compare the carbon emissions before and after correction with the actual vehicle driving carbon emissions, such as Figure 4 As shown in the figure, the carbon emission model based on longitudinal slope correction can more accurately reflect the carbon emissions of vehicles, and the monitoring cost is low and the means are simple.

[0083] Compared to traditional carbon emission calculation models, which require complete vehicle travel data, it is difficult for highway operators or carbon emission monitors to obtain complete driving data for all vehicles. Therefore, it is necessary to propose an effective carbon emission monitoring calculation method that takes into account the difficulty of obtaining information. The calculation method using carbon emissions = vehicle fuel consumption per kilometer × distance traveled × gasoline carbon emission factor is simple and efficient, but its calculation accuracy is low and it ignores the influence of road longitudinal slope. Therefore, this calculation method needs to be revised. The present invention aims to propose a carbon emission monitoring calculation method for highway traffic operation, which fully utilizes the available information from the monitoring perspective and improves the accuracy of highway traffic operation carbon emission monitoring calculation.

[0084] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any minor modifications, equivalent replacements, and improvements made to the above embodiments based on the technical essence of the present invention shall be included in the scope of protection of the technical solution of the present invention.

Claims

1. A method for monitoring and calculating carbon emissions from highway traffic operation, characterized in that: The specific steps are as follows: S1. Classify vehicles on highways by vehicle type. For each type of vehicle, establish a carbon emission correction model based on the carbon emission coefficient and longitudinal slope rate through actual vehicle testing. S2. Deploy monitors along the target highway section to obtain basic information and driving information of vehicles passing through the section; S3. Obtain the vehicle's energy consumption per 100 kilometers and use the carbon emission factor method to calculate the pre-corrected carbon emissions C of vehicle m on the highway section. m ; S4, based on the carbon emission correction model established in step S1, combined with the average longitudinal slope of the road section, the carbon emission before correction C in step S3 is calculated. m Correction is performed to obtain the corrected carbon emissions C of the vehicle m on the specified highway section.

2. The highway traffic operation carbon emission monitoring and calculation method according to claim 1 is characterized by: In step S1, when the longitudinal slope is less than -2%, the engine is in an idling state and the carbon emission coefficient is recorded as a constant d. When the longitudinal slope is greater than or equal to -2%, the carbon emission coefficient and the longitudinal slope are linearly related. The relationship between the two in the correction model can be expressed as: Where: K s —Vehicle carbon emission coefficient, directly obtained during the test, in g / km; x—measured longitudinal slope, directly obtained during the test, in %; a, b, d—relevant parameters characterizing the relationship between the carbon emission coefficient of the test vehicle model and the longitudinal slope, obtained through post-test fitting.

3. The highway traffic operation carbon emission monitoring and calculation method according to claim 1 is characterized by: In step S3, the carbon emission factor method is used to calculate the pre-corrected carbon emissions of vehicle m on the highway section. The calculation formula is as follows: Where: C m —the uncorrected carbon emissions of vehicle m traveling on the highway before longitudinal grade correction; f—vehicle m is the fuel consumption index per 100 kilometers at high speed, in L / km; L—the total length of the route traveled by vehicle m; EF—Carbon emission factor of vehicle fuel, in g / L.

4. The highway traffic operation carbon emission monitoring and calculation method according to claim 3 is characterized by: The calculation formula of its carbon emission factor EF is: Where: CC—average lower calorific value of fuel; OF—fuel carbon oxidation rate; QDW—low heating value of fuel; —mass ratio of CO2 / C; ρ—fuel density, the values ​​include diesel and gasoline. The value for gasoline can be 0.74g / L, and the value for diesel can be 0.84g / L. The carbon content per unit calorific value, carbon oxidation rate, and average low heating value of the fuel can adopt the recommended values ​​of the "Guidelines for the Preparation of Provincial Greenhouse Gas Inventories".

5. The highway traffic operation carbon emission monitoring and calculation method according to claim 3 is characterized by: A longitudinal slope information database is established through design drawings; the carbon emission calculation results before correction are corrected based on the longitudinal slope. The corrected calculation formula is as follows: Where: C is the corrected carbon emissions generated by vehicle m when driving on the highway after longitudinal slope correction; γ i —the gradient of the i-th longitudinal slope with a gradient greater than or equal to -2% within the road section passed by vehicle m; l i —The length of the i-th longitudinal slope with a gradient greater than or equal to -2% within the road section passed by vehicle m; l0—the total length of the longitudinal slope with a gradient less than -2% within the road section passed by vehicle m; L—the total length of the route traveled by vehicle m.

6. The highway traffic operation carbon emission monitoring and calculation method according to claim 5 is characterized by: In step S2, monitors are installed at the starting point, end point, and entrances and exits of each toll station of the highway section. When the vehicle m enters and exits the highway through two monitors, the total route length L of the vehicle m and the longitudinal slope information within the section can be obtained through the design drawings.

7. The method for monitoring and calculating carbon emissions from highway traffic operations according to any one of claims 1 to 6, characterized in that: In step S3, the energy consumption index per 100 kilometers of the corresponding vehicle is obtained through the China Automobile Energy Consumption Query Platform of the Ministry of Industry and Information Technology. When the road surface is a highway, the fuel consumption index under high-speed state is used for calculation.

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