Method for determining urban regional traffic carbon emission based on road network state

Abstract

The invention provides a method for determining urban area traffic carbon emission based on a road network state, and the method comprises the following steps: S1, determining the road network state of a target urban area, the road network state comprising mileage of abrupt slopes and gentle roads in the road network; s2, acquiring traffic states of different road sections in the road network, wherein the traffic states comprise vehicle driving speeds and vehicle types; and S3, determining the traffic carbon emission of the target urban area according to the traffic state and the road network state. According to the method, the influence of the gradient in the urban road network is comprehensively considered, the driving state of the vehicle in the road network driving process is considered, and the vehicle type condition is combined, so that the traffic carbon emission of the urban area is accurately determined, and an accurate data basis is provided for subsequent urban carbon emission and traffic coordinated scheduling.

Description

Technical Field

[0001] This invention relates to the field of carbon emissions, and more particularly to a method for determining urban area traffic carbon emissions based on road network conditions. Background Technology

[0002] With the intensification of the greenhouse effect, research on carbon emissions is receiving increasing attention, and carbon emissions from urban transportation are an important technical basis for the coordinated management of urban transportation and the urban environment.

[0003] In existing technologies, the following methods are generally used to statistically analyze urban traffic carbon emissions: One method is actual measurement, which involves installing testing equipment in the urban road network. This method is extremely costly, requiring the deployment of a large number of devices, and its accuracy is difficult to guarantee, as it is easily affected by environmental factors. Another method is to use traffic flow statistics, which only considers traffic flow and vehicle type, but does not take into account the impact of the urban road network on carbon emissions, resulting in a significant discrepancy between the results and reality.

[0004] Therefore, in order to solve the above-mentioned technical problems, it is urgent to propose a new technical means that takes into account the slope of urban road networks and the driving status of vehicles, so as to comprehensively determine the traffic carbon emissions in urban areas and effectively ensure the accuracy of the final results. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a method for determining urban traffic carbon emissions based on road network conditions. This method comprehensively considers the influence of slope in the urban road network, takes into account the driving status of vehicles during their journey through the road network, and combines this with vehicle type conditions to accurately determine the amount of urban traffic carbon emissions, thus providing accurate data for subsequent urban carbon emissions and traffic coordination scheduling.

[0006] This invention provides a method for determining urban area traffic carbon emissions based on road network conditions, comprising the following steps:

[0007] S1. Determine the road network status of the target urban area, wherein the road network status includes the mileage of steep slopes and gentle slopes in the road network;

[0008] S2. Obtain the traffic status of different road segments in the road network, wherein the traffic status includes vehicle speed and vehicle type;

[0009] S3. Determine the traffic carbon emissions of the target urban area based on traffic conditions and road network conditions.

[0010] Furthermore, determining the traffic carbon emissions of the target area based on traffic conditions specifically includes:

[0011] ;in: This indicates the carbon emissions from transportation in the target area. This indicates the carbon emissions from steep slope roads. This indicates the carbon emissions from smooth roads.

[0012] Furthermore, carbon emissions from steep slope sections were determined using the following method:

[0013] The steep slope sections in the road network are divided into n steep slope sections according to their slope values;

[0014] Determine the distance for each steep slope section;

[0015] Acquire the speed change status of the vehicle on a steep slope;

[0016] Constructing a carbon emission calculation model for steep slope roads:

[0017] ;

[0018] Where: N represents the total number of vehicles in the current vehicle type, This represents the type correction factor for vehicle type j on steep slopes. This represents the slope correction factor for the i-th steep slope segment. This represents the distance traveled by the vehicle on the i-th steep slope segment. This indicates the emission coefficient for steep slope sections, expressed in kg / m. The emission coefficient represents the change in vehicle speed on a steep slope, expressed in kg / (m / s). This represents the change in the vehicle's speed at time k. Let Q represent the idling time of a vehicle on the i-th steep slope segment, and let Q represent the total number of vehicle types in the road network. This indicates the emission coefficient during steep slope idling time, in kg / h.

[0019] in: .

[0020] Furthermore, carbon emissions from smooth road sections were determined using the following method:

[0021] Determine the average vehicle speed on flat road sections;

[0022] Determine the average driving speed of the vehicle, including high speed, medium speed and low speed.

[0023] Constructing a carbon emission calculation model for smooth roads:

[0024] ;

[0025] in: This represents the type correction factor for vehicle type j on smooth roads, where j = 1, 2, ..., Q, and N represent the total number of vehicles in the current vehicle type. This represents the speed correction factor for vehicles traveling on flat roads. p=1 indicates high speed, p=2 indicates medium speed, and p=3 indicates low speed. This indicates the distance a vehicle travels on a smooth road. The emission coefficient indicates the distance to a smooth road, and the unit is kg / m. This represents the change in speed of a vehicle at time k while it is traveling on a smooth road. ; The emission coefficient represents the change in vehicle speed on a smooth road, expressed in kg / (m / s). The emission coefficient for idling time on steep slopes is expressed in kg / h, and t represents the idling time of the vehicle on flat roads.

[0026] Furthermore, the vehicle types include large trucks, medium trucks, small trucks, large buses, medium buses, small buses, sedans, and SUVs.

[0027] The beneficial effects of this invention are as follows: By comprehensively considering the influence of slope in the urban road network and taking into account the driving status of vehicles during their journey through the road network, and combining this with the vehicle type, the carbon emissions of urban traffic can be accurately determined, providing accurate data for subsequent urban carbon emissions and traffic coordination and scheduling. Attached Figure Description

[0028] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0029] Figure 1 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0030] The present invention will be further described in detail below:

[0031] This invention provides a method for determining urban area traffic carbon emissions based on road network conditions, comprising the following steps:

[0032] S1. Determine the road network status of the target urban area, wherein the road network status includes the mileage of steep slopes and gentle slopes in the road network;

[0033] S2. Obtain the traffic status of different road segments in the road network. The traffic status includes vehicle speed and vehicle type. The vehicle type includes large trucks, medium trucks, small trucks, large buses, medium buses, small buses, sedans, and SUVs, etc. Of course, it can be further subdivided according to the actual situation. For example, sedans can be divided into naturally aspirated sedans and turbocharged sedans. It can also be further subdivided according to engine displacement. The more detailed the subdivision, the greater the amount of calculation, but the higher the accuracy. The parameters of vehicle type and vehicle speed can be directly detected by RFID detection points on urban roads, so there is no need to deploy other detection equipment. The RFID electronic tag of the vehicle contains information such as vehicle type and engine displacement, which can be directly obtained.

[0034] S3. Determine the traffic carbon emissions of the target urban area based on traffic conditions and road network conditions. By comprehensively considering the impact of gradients in the urban road network, the driving status of vehicles during their journey, and vehicle type, the traffic carbon emissions of the urban area can be accurately determined, providing accurate data for subsequent urban carbon emission and traffic coordination scheduling.

[0035] Specifically, determining the traffic carbon emissions of a target area based on traffic conditions includes:

[0036] ;in: This indicates the carbon emissions from transportation in the target area. This indicates the carbon emissions from steep slope roads. This indicates the carbon emissions from gentle roads. For urban road traffic, standards generally define roads with a gradient greater than 8% as steep slopes. However, in the statistics of this invention, roads with a gradient greater than 3% are defined as steep slope sections.

[0037] Specifically, carbon emissions from steep slope sections are determined using the following method:

[0038] The steep slope sections in the road network are divided into n steep slope sections according to their slope values;

[0039] Determine the distance for each steep slope section;

[0040] Acquire the speed change status of the vehicle on a steep slope;

[0041] Constructing a carbon emission calculation model for steep slope roads:

[0042] ;

[0043] Where: N represents the total number of vehicles in the current vehicle type, This represents the type correction factor for vehicle type j on steep slopes. This represents the slope correction factor for the i-th steep slope segment. This represents the distance traveled by the vehicle on the i-th steep slope segment. If the vehicle travels the entire i-th steep slope segment, then... It is equal to the length Li of the i-th steep slope section; This indicates the emission coefficient for steep slope sections, expressed in kg / m. The emission coefficient represents the change in vehicle speed on a steep slope, expressed in kg / (m / s). This represents the change in the vehicle's speed at time k. Let Q represent the idling time of a vehicle on the i-th steep slope segment, and let Q represent the total number of vehicle types in the road network. This indicates the emission coefficient during steep slope idling time, in kg / h.

[0044] in: .in, This represents the speed of the vehicle at time k. This represents the vehicle's speed at time k-1.

[0045] Carbon emissions from gentle road sections can be determined using the following method:

[0046] Determine the average vehicle speed on flat road sections;

[0047] Determine the average driving speed of the vehicle, including high speed, medium speed and low speed.

[0048] Constructing a carbon emission calculation model for smooth roads:

[0049] ;

[0050] in: This represents the type correction factor for vehicle type j on smooth roads, where j = 1, 2, ..., Q, and N represent the total number of vehicles in the current vehicle type. This represents the speed correction factor for vehicles traveling on flat roads. p=1 indicates high speed, p=2 indicates medium speed, and p=3 indicates low speed. This indicates the distance a vehicle travels on a smooth road. The emission coefficient indicates the distance to a smooth road, and the unit is kg / m. This represents the change in speed of a vehicle at time k while it is traveling on a smooth road. ; The emission coefficient represents the change in vehicle speed on a smooth road, expressed in kg / (m / s). The emission coefficient for idling time on steep slopes is expressed in kg / h, and t represents the idling time of the vehicle on flat roads. In the above, by setting corresponding emission coefficients and related correction factors for different road sections, the traffic carbon emissions in the target urban area can be determined more accurately. The coefficients and factors mentioned above can be obtained through actual measurements using different types of vehicles.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for determining urban area traffic carbon emissions based on road network conditions, characterized in that: Includes the following steps: S1. Determine the road network status of the target urban area, wherein the road network status includes the mileage of steep slopes and gentle slopes in the road network; S2. Obtain the traffic status of different road segments in the road network, wherein the traffic status includes vehicle speed and vehicle type; S3. Determine the traffic carbon emissions of the target urban area based on traffic conditions and road network conditions.

2. The method for determining urban area traffic carbon emissions based on road network conditions according to claim 1, characterized in that: The specific traffic carbon emissions for the target area determined based on traffic conditions include: ;in: This indicates the carbon emissions from transportation in the target area. This indicates the carbon emissions from steep slope roads. This indicates the carbon emissions from smooth roads.

3. The method for determining urban area traffic carbon emissions based on road network conditions according to claim 2, characterized in that: Carbon emissions from steep slope sections can be determined using the following method: The steep slope sections in the road network are divided into n steep slope sections according to their slope values; Determine the distance for each steep slope section; Acquire the speed change status of the vehicle on a steep slope; Constructing a carbon emission calculation model for steep slope roads: ； Where: N represents the total number of vehicles in the current vehicle type, This represents the type correction factor for vehicle type j on steep slopes. This represents the slope correction factor for the i-th steep slope segment. This represents the distance traveled by the vehicle on the i-th steep slope segment. This indicates the emission coefficient for steep slope sections, expressed in kg / m. The emission coefficient represents the change in vehicle speed on a steep slope, expressed in kg / (m / s). This represents the change in the vehicle's speed at time k. Let Q represent the idling time of a vehicle on the i-th steep slope segment, and let Q represent the total number of vehicle types in the road network. This indicates the emission coefficient during steep slope idling time, in kg / h. in: .

4. The method for determining urban area traffic carbon emissions based on road network conditions according to claim 2, characterized in that: Carbon emissions from gentle road sections can be determined using the following method: Determine the average vehicle speed on flat road sections; Determine the average driving speed of the vehicle, including high speed, medium speed and low speed. Constructing a carbon emission calculation model for smooth roads: ； in: This represents the type correction factor for vehicle type j on smooth roads, where j = 1, 2, ..., Q, and N represent the total number of vehicles in the current vehicle type. This represents the speed correction factor for vehicles traveling on flat roads. p=1 indicates high speed, p=2 indicates medium speed, and p=3 indicates low speed. This indicates the distance a vehicle travels on a smooth road. The emission coefficient indicates the distance to a smooth road, and the unit is kg / m. This represents the change in speed of a vehicle at time k while it is traveling on a smooth road. ; The emission coefficient represents the change in vehicle speed on a smooth road, expressed in kg / (m / s). The emission coefficient for idling time on steep slopes is expressed in kg / h, and t represents the idling time of the vehicle on flat roads.

5. The method for determining urban area traffic carbon emissions based on road network conditions according to claim 1, characterized in that: The vehicle types include large trucks, medium trucks, small trucks, large buses, medium buses, small buses, sedans, and SUVs.

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