A method for calculating carbon emissions of a roadside parking lot

Abstract

This invention relates to the field of carbon emission technology and discloses a method for calculating carbon emissions from roadside parking lots. First, the carbon emission intensity of vehicles needs to be determined. Specifically, based on existing urban traffic carbon emission factors, supplementary vehicle driving condition tests are conducted using emission testing equipment. Based on vehicle speed conditions and road type, the relationship between engine power, speed, energy consumption, and carbon emissions is analyzed to calculate the carbon emission factor corresponding to typical parking conditions. The relationship between road type, turnover rate, parking space utilization rate, and parking patrol time is determined to propose a parking patrol coefficient. The carbon emissions of parking lots already in use with the smart parking system are calculated. The carbon emissions of parking lots not yet in use with the smart parking system are also calculated. This invention can quickly and accurately calculate the carbon emissions generated within a specified area based on the parking lot's opening hours.

Description

Technical Field

[0001] This invention relates to the field of carbon emission technology, specifically a method for calculating carbon emissions from roadside parking lots. Background Technology

[0002] With the sustained and rapid development of my country's national economy, the number of motor vehicles in cities has continued to grow, leading to a series of urban problems such as traffic congestion and air pollution caused by traffic. In recent years, environmental pressures have prompted governments and research institutions to place urban carbon emissions at the forefront, making it crucial to address how to reduce carbon emissions and improve energy efficiency while ensuring development.

[0003] Currently, smart parking is widely used in urban residential areas, commercial complexes, office buildings, airports, train stations, stadiums, scenic spots, amusement parks, convention centers, enterprises, hospitals, schools, and other fields. The application areas and scales of various parking locations differ, and their needs for smart parking management systems also vary. For example, small residential areas have smaller parking lots and lower traffic flow, and their needs for smart parking management systems mainly focus on traditional functions such as resident entry and exit, temporary parking fee collection, and anti-theft. Airports, convention centers, and hospitals have large parking lots with high traffic flow, requiring higher levels of management and control in areas such as rapid vehicle passage through entrances and exits, rapid parking guidance within the parking lot, and vehicle location guidance for drivers. Large shopping malls and urban complexes have proposed more intelligent requirements to enhance the driver experience. In recent years, many cities at home and abroad have explored and established comprehensive smart parking management platforms, integrating parking management, parking operation, and parking fee collection systems into one platform, with unified maintenance and management by government departments. At the same time, many cities have established parking management systems specifically for car owners, providing them with convenient parking services.

[0004] With the widespread application of new technologies such as mobile internet, the Internet of Things, artificial intelligence, big data, and electronic payment, the smart parking industry is developing rapidly, and unmanned, paid parking is gradually becoming more common. Unmanned, paid parking saves labor costs because it eliminates the need for dedicated personnel to collect parking fees. This system also improves collection efficiency, makes fee records more accurate, reduces operating costs, and aligns with the current trend towards cashless electronic payments. Factors affecting carbon emission reduction during parking activities mainly include urban roads and parking space types, vehicle types, carbon emission factors, and smart parking systems. The types of urban roads and parking spaces, particularly expressways, arterial roads, secondary arterial roads, and local roads, significantly influence carbon emissions when choosing roadside parking spaces due to differences in congestion levels and driving speeds. Vehicle types, including fuel type and vehicle model (engine displacement, length), also play a role. Gasoline vehicles and new energy vehicles produce different carbon emissions, and large, medium, and small vehicles exhibit significantly different emissions. Vehicle carbon emission factors are closely related to fuel type, driving speed, and road congestion levels, resulting in varying emission factors. The application of smart technologies, such as smart parking systems, affects parking time and efficiency, thus impacting energy consumption and carbon emissions. Carbon emission factors are determined through simulations based on traffic congestion levels (road service levels) and different road types. Generally, severely congested road sections have higher carbon emission factor values, which gradually decrease as service levels improve.

[0005] To calculate the carbon emission reductions resulting from the application of smart parking systems, the calculation scope must first be determined based on the impact of the system's application. Then, based on the carbon emission reduction principle of smart parking systems, an evaluation method for carbon emission reduction benefits should be proposed. Therefore, a method for calculating carbon emissions from roadside parking lots is needed. Summary of the Invention

[0006] The purpose of this invention is to provide a method for calculating carbon emissions from roadside parking lots, which can effectively count and calculate carbon emissions in each designated area.

[0007] This invention is implemented as follows:

[0008] This invention provides a method for calculating carbon emissions from roadside parking lots, which is specifically implemented according to the following steps:

[0009] S1: First, determine the carbon emission intensity of the vehicle. Specifically, based on the existing urban traffic carbon emission factors, use emission testing equipment to conduct supplementary tests on vehicle driving conditions. Based on the vehicle's speed conditions and road type, analyze the relationship between engine power, speed, energy consumption and carbon emissions, and calculate the carbon emission factors corresponding to typical parking conditions.

[0010] Based on the "2006 IPCC National Greenhouse Gas Inventory Guidelines" and emission factors in the Chinese road transport emission model, the carbon emission intensity of a 1.6L car at speeds of 15km / h, 20km / h, 25km / h, and 30km / h for different road types is determined to be 362g / km, 342g / km, 312g / km, and 280g / km, respectively. When parking, the speed is very low, and the carbon emission factor is calculated as 500g / km.

[0011] S2: Determine the relationship between road type, average utilization rate, and patrol time;

[0012] S3: Calculate the daily turnover rate and parking space utilization rate of the parking lot;

[0013] S4: First calculate the daily carbon emission reduction of a parking lot, then calculate the daily carbon emission reduction of all parking lots within the project area, and finally summarize the total annual carbon emission reduction of the entire project, and calculate the carbon emission reduction of the parking lots already in use.

[0014] S5: Calculate the carbon emission reduction of parking lots that are not in use.

[0015] Furthermore, in step S3, based on the statistical data of parking spaces, parking duration and number of parking spaces of each parking lot, the monthly turnover rate and parking space utilization rate of each parking lot are calculated, as shown in equations (1)-(2).

[0016] Equation (1)

[0017] in, Let be the turnover rate (number of vehicles / day) of the i-th parking lot. The number of parking spaces (vehicles / day) in the i-th parking lot after the application of the smart parking system. Let be the number of parking spaces in the i-th parking lot; i is the i-th parking lot; h is the number of spaces after the smart parking system is applied; d represents a certain day.

[0018] Equation (2)

[0019] in, Let be the utilization rate of the i-th parking lot; Let be the number of parking spaces in the i-th parking lot; Let be the total monthly parking duration (s) for the i-th parking lot.

[0020] Furthermore, in step S 4.1 In this case, when a vehicle parks, it drives directly into the parking space, and the carbon emissions generated during parking are as shown in equation (3):

[0021] Equation (3)

[0022] in, The daily carbon emissions (tCO2) after the smart parking system is put into use. The distance traveled when the vehicle is parked (km) is calculated based on a distance of 5 to 10 meters each time. Carbon emission intensity of vehicle operation (t / km); This represents the state after the intelligent parking system is put into use; i represents the i-th parking lot.

[0023] S 4.2 Daily carbon emissions before the computing system was put into use

[0024] First, it is necessary to calculate the number of parking spaces per day before the vehicle is put into use, according to formula (5):

[0025] Equation (5)

[0026] In equation (5): The number of parking spaces (vehicles / day) in the i-th parking lot before the smart parking system is put into use. The daily turnover rate (units / day) before the system was applied. Let be the number of parking spaces in the i-th parking lot.

[0027] S 4.3 :Then calculate the daily carbon emissions after the system is put into use, specifically including the carbon emissions generated when driving a certain distance until a parking space is found, so it includes two parts: carbon emissions generated when parking and parking, as shown in formula (6).

[0028] Equation (6)

[0029] in: The daily carbon emissions (tCO2) before the system was applied. The time (in minutes) taken to find a parking space before parking the vehicle; The vehicle's speed (km / h) when searching for a parking space before parking; t / km represents the carbon emission intensity of the vehicle; j represents the type of urban road: arterial road, secondary arterial road, and local road.

[0030] S 4.4 : Calculate the annual carbon emission reduction of a single parking lot; by comparing the smart parking system before and after its implementation, sum the results according to all parking lots included in the project, and calculate the annual carbon emission reduction achieved by formula (7);

[0031] Equation (7)

[0032] in, The annual carbon emission reduction (tCO2) after the system is implemented; N is the number of parking lots.

[0033] Furthermore, in step S5, the following steps are specifically performed:

[0034] S 5.1 Calculate the average carbon emission reduction per parking space based on different road types, as shown in equation (8):

[0035] Equation (8)

[0036] in, Let be the average annual carbon emission reduction per parking space for the j-th road type (tons / space). Let be the total carbon emission reduction (ton) generated annually by parking spaces in the j-th road type. This represents the total number of parking spaces already in use for the j-th road type.

[0037] Furthermore, the carbon emission reduction achieved by the parking lot is calculated as shown in equation (9).

[0038] Equation (9)

[0039] in, Let be the average carbon emission reduction per parking space for the j-th road type (tons / space); denoted as the total number of unused parking spaces for the j-th road type; N represents the number of different road types.

[0040] Compared with the prior art, the beneficial effects of the present invention are:

[0041] It can quickly and accurately calculate the carbon emissions generated within a specified area based on the parking lot's opening hours, providing reliable carbon emission monitoring data for urban planning, environmental monitoring, and the implementation of urban "dual carbon" targets. Attached Figure Description

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0043] Figure 1 This is a flowchart of the method of the present invention;

[0044] Figure 2This is a graph showing the relationship between the driving speed and carbon dioxide emission intensity of a 1.6L displacement car according to the present invention;

[0045] Figure 3 This is a schematic diagram of the road section range of the first phase of the Zhuzhou Smart Parking project of the present invention;

[0046] Figure 4 This is a graph showing the average daily number of cars parked in each parking lot in April 2022, based on the present invention.

[0047] Figure 5 This is a graph showing the average daily number of cars parked in each parking lot in May 2022, based on the present invention.

[0048] Figure 6 This is a graph showing the average daily number of cars parked in each parking lot in June 2022, based on the present invention.

[0049] Figure 7 This is a graph showing the average daily number of cars parked in each parking lot in July 2022, based on the present invention.

[0050] Figure 8 This is a graph showing the carbon emission reductions achieved by the Zhujiang South Road parking lot from April to July according to the present invention.

[0051] Figure 9 This is the average monthly carbon emission reduction of the 17 parking lots in the first phase of the intelligent parking system project of this invention;

[0052] Figure 10 This is a diagram showing the average annual carbon emission reduction of each parking lot in the first phase of the intelligent parking system project of this invention;

[0053] Figure 11 This is a graph showing the average annual carbon emission reduction per parking space in the 17 parking lots of the first phase of the present invention.

[0054] Figure 12 This is a schematic diagram of the third phase of the parking lot road section of the present invention;

[0055] Figure 13 This is a graph showing the average annual carbon emission reduction per parking space in the 17 parking lots of the first phase of the Zhuzhou Smart Parking Project of this invention. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to represent selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] Please see Figure 1-13 A method for calculating carbon emissions from roadside parking lots, which is implemented according to the following steps:

[0058] S1: First, determine the vehicle's carbon emission intensity. Specifically, based on existing urban traffic carbon emission factors, supplementary tests are conducted using emission testing equipment to assess vehicle operating conditions. By analyzing the relationship between engine power, speed, energy consumption, and carbon emissions based on vehicle speed and road type, engine profiles for various vehicle models are established. The emission intensity corresponding to typical operating conditions is calculated, resulting in a curve showing the relationship between vehicle speed and CO2 emission intensity for a 1.6L displacement car. Figure 2 As shown;

[0059] Based on the "2006 IPCC National Greenhouse Gas Inventory Guidelines" and the emission factors in China's road transport emission model, such as Figure 2 Based on comprehensive analysis, the carbon emission intensity of a 1.6L displacement car model when searching for parking spaces at speeds of 15km / h, 20km / h, 25km / h, and 30km / h is determined to be 362g / km, 342g / km, 312g / km, and 280g / km, respectively. When parking, the speed is very low, and the carbon emission factor is calculated as 500g / km.

[0060] S2: Based on a comprehensive literature analysis, the relationship between road type, average utilization rate, and parking space patrol time was determined, as shown in Table 1.

[0061] Table 1 Parking Spot Inspection Schedule

[0062] ;

[0063] S3: Calculate the daily turnover rate and parking space utilization rate of the parking lot;

[0064] S4: First calculate the daily carbon emissions of a parking lot, then calculate the daily carbon emission reduction of all parking lots within the project area, and finally summarize the annual carbon emission reduction of the entire project, and calculate the carbon emission reduction of the parking lots already in use.

[0065] S5: Calculate the carbon emission reduction of parking lots that are not in use.

[0066] In this embodiment, in step S3, based on the statistical data of parking spaces, parking duration, and number of parking spaces in each parking lot, the turnover rate and parking space utilization rate of each parking lot are calculated, as shown in equations (1)-(2):

[0067] Equation (1)

[0068] in, Let be the turnover rate (number of vehicles / day) of the i-th parking lot. The number of parking spaces (vehicles / day) in the i-th parking lot after the application of the smart parking system. Let represent the number of parking spaces in the i-th parking lot; i represents the i-th parking lot; h represents the number of spaces after the smart parking system is applied; d represents a certain day.

[0069] Equation (2)

[0070] in, Let be the utilization rate of the i-th parking lot; Let be the number of parking spaces in the i-th parking lot; Let be the total monthly parking duration (s) for the i-th parking lot.

[0071] In this embodiment, in step S 4.1 In this case, when a vehicle parks, it drives directly into the parking space, and the carbon emissions generated during parking are as shown in equation (3):

[0072] Equation (3)

[0073] in, The daily carbon emissions (tCO2) after the smart parking system is put into use. The distance traveled when the vehicle is parked (km) is calculated based on a distance of 5 to 10 meters each time. Carbon emission intensity of vehicle operation (t / km); This represents the state after the intelligent parking system is put into use; i represents the i-th parking lot.

[0074] S 4.2 Daily carbon emissions before the computing system was put into use

[0075] First, it is necessary to calculate the number of parking spaces per day before the vehicle is put into use, according to formula (5):

[0076] Equation (5)

[0077] In equation (5): The number of parking spaces (vehicles / day) in the i-th parking lot before the smart parking system is put into use. The daily turnover rate (units / day) before the system was applied. Let be the number of parking spaces in the i-th parking lot.

[0078] S 4.3 :Then calculate the daily carbon emissions after the system is put into use, specifically including the carbon emissions generated when driving a certain distance until a parking space is found, so it includes two parts: carbon emissions generated when searching for parking spaces and carbon emissions generated when parking, as shown in formula (6):

[0079] Equation (6)

[0080] in: The daily carbon emissions (tCO2) before the system was applied. The time (in minutes) taken to find a parking space before parking the vehicle; The vehicle's speed (km / h) when searching for a parking space before parking; t / km represents the carbon emission intensity of the vehicle; j represents the type of urban road: arterial road, secondary arterial road, and local road.

[0081] S 4.4 : Calculate the annual carbon emission reduction of a single parking lot; by comparing the situation before and after the smart parking system is put into use, sum the results for all parking lots included in the project, and calculate the annual carbon emission reduction achieved by formula (7):

[0082] Equation (7)

[0083] in, The annual carbon emission reduction (tCO2) after the system is implemented; N is the number of parking lots.

[0084] In this embodiment, step S5 is specifically performed according to the following steps:

[0085] S 5.1 Calculate the average carbon emission reduction per parking space based on different road types, as shown in equation (8):

[0086] Equation (8)

[0087] in, Let be the average annual carbon emission reduction per parking space for the j-th road type (tons / space). Let be the total carbon emission reduction (ton) generated annually by parking spaces in the j-th road type. This represents the total number of parking spaces already in use for the j-th road type.

[0088] In this embodiment, the carbon emission reduction achieved by the parking lot is calculated as shown in equation (9):

[0089] Equation (9)

[0090] in, Let be the average carbon emission reduction per parking space for the j-th road type (tons / space); denoted as the total number of unused parking spaces for the j-th road type; N represents the number of different road types.

[0091] In this embodiment, carbon emissions are calculated using Zhuzhou smart parking as an example. First, the area to be calculated is determined, including Zhujiang South Road, Lushan Spring Road, Yellow River South Road, Huangshan Road, Huafu Road, Qinhuai Road, Landun Road, Laodong Road, Jinshi Road, Xinlicheng Road, Taoliyuan Road, Heping Road, Yincheng Road, Weimin Road, Changjiang Baoshi Road, Yellow River North Road, and Rose Road. Specifically... Figure 3 The parking areas are shown in Table 3.

[0092] Table 3 Parking Sections

[0093] ;

[0094] Data on the number of parking spaces, daily parking volume, and parking duration for various road sections were collected and compiled from April to July 2022. This data was used to calculate the turnover rate and parking space utilization rate of each parking lot. The average number of parking spaces in 17 parking lots, including Zhujiang South Road, is shown below. Figures 4-7 As shown.

[0095] This embodiment uses the "Zhujiang South Road Parking Lot" as an example to detail the calculation process. The Zhujiang South Road Parking Lot has a total of 127 parking spaces, and statistical data on the number of parking spaces and parking duration from April to July are analyzed and compiled. The urban road type where the Zhujiang South Road Parking Lot is located is a main road.

[0096] First, calculate the daily turnover rate and parking space utilization rate.

[0097] Based on the data of parking spaces, number of cars, and parking duration of Zhujiang South Road parking lot in April, the turnover rate and parking space utilization rate of each parking lot were calculated using formulas (1) and (2), as shown in Table 3.

[0098] Table 3 Parking data for Zhujiang South Road parking lot in April

[0099] ;

[0100] The daily carbon emissions of the Zhuzhou Smart Parking System at the Zhujiang South Road parking lot in April after the system was put into use were calculated one by one using formula (3); as shown in Table 4.

[0101] Table 4. Daily carbon emissions from the Zhujiang South Road parking lot in April

[0102] ;

[0103] Carbon emissions before the implementation of the computing system

[0104] The daily carbon emissions of the Zhujiang South Road parking lot in April were calculated one by one using formula (4), as shown in Table 5.

[0105] Table 5. Daily carbon emissions from the Zhujiang South Road parking lot in April

[0106] ;

[0107] Carbon emission reductions before and after the implementation of the calculation system

[0108] Using formula (5), the carbon emission reduction of the Zhuzhou Smart Parking System Zhujiang South Road Parking Lot System before and after its implementation in April was calculated by comparing the results before and after, as shown in Table 6.

[0109] Table 6. Daily carbon emission reductions at the Zhujiang South Road parking lot in April

[0110] ;

[0111] In this embodiment, the daily carbon emission reductions are summarized, and it is found that the carbon emission reduction of the Zhujiang South Road parking lot in April was 1342.77 kg, or 1.34 t, and the average daily carbon emission reduction was 44.76 kg, or 0.04 t.

[0112] Calculate carbon emission reductions from May to July

[0113] Based on the calculations for April, the annual carbon emission reduction for the Zhuzhou Smart Parking System Zhujiang South Road Parking Lot from May to July was calculated similarly. After calculating the average monthly carbon emission reduction, it was then converted into the project's annual carbon emission reduction, as shown below. Figure 8 As shown.

[0114] In this embodiment, the annual emission reduction is calculated.

[0115] Based on the monthly carbon emission reductions, the average carbon emission reduction is calculated to be 1.18 tons per month. Taking 12 months as a year, the annual carbon emission reduction of the Zhuzhou Smart Parking System Zhujiang South Road Parking Lot is 14.13 tons per year.

[0116] In this embodiment, the annual carbon emission reduction of all parking lots is calculated.

[0117] Based on the carbon emission reduction calculation method of Zhujiang South Road Parking Lot, the emission reductions generated by the implementation of the smart parking system in 16 other parking lots, including Lushan Spring Road Parking Lot and Huanghe South Road Parking Lot, from April to July can be calculated, as shown in Table 7.

[0118] Table 7. Emission Reductions of 17 Parking Lots in Phase I Project from April to July

[0119] ;

[0120] In this embodiment, the average monthly carbon emission reduction of the 17 parking lots in the first phase of the project totals 22.09 tons per year. Figure 9 As shown; therefore, it can be concluded that the average annual carbon emission reduction of the 17 parking lots in the first phase of the project is a total carbon emission reduction of 265.08 / year. Figure 10 .

[0121] In this embodiment, as Figure 12 For the entire second phase project, which includes 29 road sections such as Shennong Avenue and the auxiliary road north of Tianyuan Bridge, the calculation steps are as follows:

[0122] The average annual carbon emission reduction per parking space in the 17 parking lots of the first phase of the Zhuzhou Smart Parking System project was calculated using formula (8). Figure 13 As shown.

[0123] The Zhuzhou Smart Parking Phase II project has a total of 1,988 parking spaces across 29 parking lots, as shown in Table 8.

[0124] Table 8. Basic Information on the 29 Parking Lots in Phase II Project

[0125]

[0126] By using formula (9), the carbon emission reduction of the 29 parking lots in the second phase of the Zhuzhou Smart Parking Project is 35.3t / year, and the annual carbon emission reduction is 423.04t / year, as shown in Table 9.

[0127] Table 9 Carbon emission reductions of 29 parking lots in Phase II project

[0128] ;

[0129] Based on the above calculations of carbon emission reductions for the first and second phases of the "Zhuzhou Smart Parking System" project, the project generates a total carbon emission reduction of 688.12 tons per year, equivalent to planting 37,600 trees.

[0130] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for calculating carbon emissions from roadside parking lots, characterized in that, Follow these steps: S1: First, determine the carbon emission intensity of the vehicle. Specifically, based on the existing urban traffic carbon emission factors, use emission testing equipment to conduct supplementary tests on vehicle driving conditions. Based on the vehicle's speed conditions and road type, analyze the relationship between engine power, speed, energy consumption and carbon emissions, and calculate the carbon emission factors corresponding to typical parking conditions. S2: Determine the relationship between road type, average utilization rate, and patrol time; S3: Calculate the parking lot turnover rate and parking space utilization rate; S4: Calculate the carbon emission reduction of parking lots that have been put into use; S 4.1 :Calculate the daily carbon emissions after the system is put into use; When a vehicle parks, it drives directly into the parking space, and the carbon emissions generated when parking are as shown in formula (3): Equation (3) in, Let i be the number of cars parked in the i-th parking lot after the smart parking system is implemented. This represents the daily carbon emissions after the smart parking system is put into use. The distance traveled when parking a vehicle is calculated as 5 to 10 meters each time. Carbon emission intensity of vehicle operation; This represents the state after the intelligent parking system is put into use; i represents the i-th parking lot. S 4.2 :Calculate the daily carbon emissions before the system was put into use; First, it is necessary to calculate the number of parking spaces per day before the vehicle is put into use, according to formula (5): Equation (5) In equation (5): The number of vehicles in the i-th parking lot before the smart parking system is put into use, expressed in vehicles / day; This refers to the daily turnover rate before the system is implemented. Let be the number of parking spaces in the i-th parking lot; S 4.3 :Then calculate the daily carbon emissions after the system is put into use, specifically including the carbon emissions generated when driving a certain distance until a parking space is found, so it includes two parts: carbon emissions generated when searching for parking spaces and carbon emissions generated when parking, as shown in formula (6): Equation (6) in: This represents the daily carbon emissions before the system was implemented. The time spent searching for a parking space before parking a vehicle; The speed at which a vehicle travels while searching for a parking space before parking; The carbon emission intensity of vehicle operation; j represents the type of urban road: arterial road, secondary arterial road, and local road. S 4.4 : Calculate the annual carbon emission reduction of a single parking lot; by comparing the situation before and after the smart parking system is put into use, sum the results for all parking lots included in the project, and calculate the annual carbon emission reduction achieved by formula (7): Equation (7) in, The annual carbon emission reduction after the system is implemented; N is the number of parking lots; S5: Calculate the carbon emission reduction of parking lots that are not in use; S 5.1 Calculate the average carbon emission reduction per parking space based on different road types, as shown in equation (8): Equation (8) in, Let be the average annual carbon emission reduction for each parking space of the j-th road type; Let J represent the total carbon emission reduction generated annually by parking spaces in the j-th road type. This represents the total number of parking spaces already in use for the j-th road type. S 5.2 : Calculate the carbon emission reduction achieved by the parking lot, as shown in equation (9): Equation (9) in, Let be the average carbon emission reduction per parking space for the j-th road type; Let N be the total number of unused parking spaces for the j-th road type; N is the number of different road types. S6: Calculate the carbon emission reductions generated by the parking lot.

2. The method for calculating carbon emissions from roadside parking lots according to claim 1, characterized in that, In step S3, based on the statistical data of parking spaces, parking duration, and number of parking spaces in each parking lot, the turnover rate and parking space utilization rate of each parking lot are calculated, as shown in equations (1)-(2): Equation (1) in, Let be the turnover rate of the i-th parking lot; Let i be the number of cars parked in the i-th parking lot after the application of the smart parking system. Let represent the number of parking spaces in the i-th parking lot; i represents the i-th parking lot; h represents the number of spaces after the smart parking system is applied; d represents a certain day. Equation (2) in, Let be the utilization rate of the i-th parking lot; Let be the number of parking spaces in the i-th parking lot; Let be the total monthly parking duration for the i-th parking lot.

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