CN116011169A - Urban road traffic carbon emission measuring and calculating method based on RFID and OBD data - Google Patents
Urban road traffic carbon emission measuring and calculating method based on RFID and OBD data Download PDFInfo
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Abstract
The invention discloses an urban road traffic carbon emission measuring and calculating method based on RFID and OBD data, which comprises the following steps: s1, combing urban road information by taking a road section as a minimum unit to construct an urban road network database; s2, constructing a speed and carbon emission relation model based on an urban road network database; s3, inputting data such as urban road network traffic flow, vehicle speed on a road section, vehicle type and the like into a speed and carbon emission relation model to obtain the carbon emission of the road section; s4, calculating to obtain carbon emission of each road section according to analogy of the step S3, and accumulating the carbon emission of each road section to obtain the total carbon emission of the urban road network. The method can be used for carrying out regional real-time measurement and calculation on the carbon emission of urban road traffic, and has high measurement and calculation accuracy.
Description
Technical Field
The invention relates to the field of road traffic, in particular to an urban road traffic carbon emission measuring and calculating method based on RFID and OBD data.
Background
At present, the method for measuring and calculating the carbon emission of the road traffic mainly comprises a top-down method (also called an energy consumption method) and a bottom-up method (also called a driving mileage method). The energy consumption method is based on traffic activities such as the maintenance quantity, annual mileage, turnover quantity and the like of motor vehicles, and the carbon emission of road traffic is measured and calculated. The driving mileage method estimates the carbon emission of urban traffic based on the total travel amount and the proportion of travel structures, and the influencing factors comprise the total travel amount, the traffic mode sharing rate, the average travel distance, the energy consumption level of vehicles and the like.
However, the above method has two main problems: firstly, the calculation of the carbon emission of the road traffic in the urban space range depends on statistical data such as vehicle oil consumption, driving mileage and the like, and the statistical data has hysteresis and cannot be subjected to space-time segmentation. Secondly, when the road network space range road traffic carbon emission is measured and calculated, the influence of road conditions is not considered in the localization process of the vehicle carbon emission factors, so that the accuracy of the vehicle emission factors in the special topography condition area is poor.
Therefore, there is a need for an urban road traffic carbon emission measurement method based on RFID and OBD data, which can solve the above problems.
Disclosure of Invention
In view of the above, the invention aims to overcome the defects in the prior art, and provides an urban road traffic carbon emission measuring and calculating method based on RFID and OBD data, which can carry out regional real-time measurement and calculation on the urban road traffic carbon emission and has high measuring and calculating accuracy.
The invention relates to an urban road traffic carbon emission measuring and calculating method based on RFID and OBD data, which comprises the following steps:
s1, combing urban road information by taking a road section as a minimum unit to construct an urban road network database;
s2, constructing a speed and carbon emission relation model based on an urban road network database;
s3, substituting the traffic flow of the road section in the urban road network, the vehicle speed on the road section and the vehicle type into a speed and carbon emission relation model, and calculating to obtain the carbon emission of the road section;
s4, calculating the carbon emission of each road section according to the analogy of the step S3, and obtaining the total carbon emission of the urban road network by accumulating the carbon emission of each road section.
Further, the urban road information includes road names, road types, road section numbers, section coordinates, and section gradients.
Further, based on the urban road network database, constructing a speed and carbon emission relation model specifically comprises the following steps:
s21, determining a buffer area of each road section;
s22, acquiring vehicle OBD data in the buffer areas of all road sections, and extracting travel tracks of vehicles in all road sections based on the vehicle OBD data; the vehicle OBD data comprise a vehicle ID, a vehicle longitude and latitude, a vehicle speed, a driving time, a vehicle accumulated mileage and a vehicle accumulated oil consumption;
s23, calculating to obtain the speed and hundred kilometers of oil consumption of the vehicle on each road section by taking the travel track of the vehicle as basic data;
s24, establishing a speed and carbon emission quantity relation model under different road segment types based on fossil fuel carbon emission factors of transportation departments and combining speed and hundred kilometers of oil consumption.
Further, the buffer area of each road section is determined as follows:
respectively shifting the central line of the road section to two sides by a i The formed area is used as a buffer area; wherein a is i The offset value corresponding to the road segment with the road segment type i.
Further, a velocity versus carbon emission model is determined according to the following formula:
P i ＝∑ j EF ij *C*a j *L；
wherein P is i Carbon emission amount for a road segment of road segment type i; EF (electric F) ij Is a road section emission factor; c is the traffic flow of the road section; a, a j The vehicle type duty ratio for using fuel j; l is the road segment length.
Further, the road segment emission factor EF is determined according to the following formula ij ：
EF ij ＝f i (v)*E j /100；
Wherein f i (v) The fitting relation of the speed and hundred kilometers oil consumption under the road section type i is adopted; e (E) j Burning carbon emission factors for transportation departments; j is the fuel type.
Further, the road segment type comprises an expressway, a trunk road, a secondary trunk road and a branch road.
In step S3, the RFID data of the same vehicle are sorted according to time, and the time interval between two adjacent pieces of data is calculated, and when the time interval is smaller than the threshold h, the RFID point through which the vehicle passes is a continuous running point; when the time interval is greater than or equal to the threshold h, the RFID point through which the vehicle passes is taken as the starting point of the next section of travel, and all the vehicle driving paths are matched into the road network by the pushing, so that the traffic flow of each section of the urban road network is obtained.
The beneficial effects of the invention are as follows: according to the urban road traffic carbon emission measuring and calculating method based on the RFID and the OBD data, real-time and accurate vehicle information is obtained through the RFID data, and vehicle carbon emission factors under real driving conditions are obtained through historical vehicle OBD data, so that the urban road traffic carbon emission is accurately measured and calculated in real time.
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The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a schematic flow chart of the method of the present invention;
fig. 2 is a schematic diagram of a road segment buffer according to the present invention.
Detailed Description
The invention is further described with reference to the accompanying drawings, in which:
the invention relates to an urban road traffic carbon emission measuring and calculating method based on RFID and OBD data, which comprises the following steps:
s1, combing urban road information by taking a road section as a minimum unit to construct an urban road network database; the road section refers to a road between two adjacent intersections on a section of road;
s2, constructing a speed and carbon emission relation model based on an urban road network database;
s3, substituting the traffic flow of the road section in the urban road network, the vehicle speed on the road section and the vehicle type into a speed and carbon emission relation model, and calculating to obtain the carbon emission of the road section;
s4, calculating the carbon emission of each road section according to the analogy of the step S3, and obtaining the total carbon emission of the urban road network by accumulating the carbon emission of each road section.
In this embodiment, in step S1, the urban road information includes a road name, a road type, a road link number, a link coordinate, and a link gradient.
In this embodiment, in step S2, a speed and carbon emission amount relation model is built based on an urban road network database, which specifically includes:
s21, determining a buffer area of each road section; wherein the buffer area of each road segment is determined by traversing each road segment.
S22, acquiring vehicle OBD data in the buffer areas of all road sections, and extracting travel tracks of vehicles in all road sections based on the vehicle OBD data; the vehicle OBD data comprise a vehicle ID, a vehicle longitude and latitude, a vehicle speed, a driving time, a vehicle accumulated mileage and a vehicle accumulated oil consumption; the travel track of the vehicle can be obtained by matching longitude and latitude information in the OBD data information of the vehicle to the road network; the travel track refers to a movement track of the vehicle in the time from entering a road section to leaving the road section;
s23, calculating to obtain the speed and hundred kilometers of oil consumption of the vehicle on each road section by taking the travel track of the vehicle as basic data; after the travel track of the vehicle is extracted, the travel speed and the hundred kilometers of oil consumption of the vehicle on a certain road section can be obtained, the travel speed and the hundred kilometers of oil consumption data of all vehicles on a road section are fitted, and the fitting relation of the road speed and the hundred kilometers of oil consumption of the road section can be obtained.
S24, based on fossil fuel carbon emission factors of transportation departments and combining speed and hundred kilometers of oil consumption, building a speed and carbon emission quantity relation model under different road section types, and further forming an urban road vehicle carbon emission model library.
In this embodiment, in general, the longitude and latitude coordinates of the GPS points drift, in order to determine whether the drifting points are on a target road section, a buffer may be set, and the points in the buffer are defaulted on the target road section, so as to provide data support for calculating the travel track of the vehicle.
In step S21, as shown in fig. 2, the buffer area of each link is determined as follows:
respectively shifting the central line of the road section to two sides by a i The formed area is used as a buffer area; wherein a is i The offset value corresponding to the road segment with the road segment type i. In fig. 2, the middle vertical line is the central line of the road, and the area occupied by the black dots in the figure is the buffer area; wherein said a i Can be set according to the actual working condition, in general, the higher the road grade is, the a i The larger the value of (2).
In this embodiment, a velocity versus carbon emission model is determined according to the following formula:
P i ＝∑ j EF ij *C*a j *L；
wherein P is i Carbon emission amount for a road segment of road segment type i; EF (electric F) ij Is a road section emission factor; c is the traffic flow of the road section; a, a j The vehicle type duty ratio for using fuel j; l is the road segment length.
Determining the road segment emission factor EF according to the following formula ij ：
EF ij ＝f i (v)*E j /100；
Wherein f i (v) The fitting relation of the speed and hundred kilometers oil consumption under the road section type i is adopted; e (E) j Burning carbon emissions for transportation sector fuelA factor; j is the fuel type.
In this embodiment, the road section type includes a highway, a trunk road, a secondary trunk road, and a branch road. The road type is determined by the road type and the road gradient, and the road type is divided into 4 types of expressways, trunk roads, secondary trunk roads and branches.
The gradient types of the expressway and the main road are divided into: the gradient of the upward slope is 5-7 percent, the gradient of the upward slope is 3-5 percent, the gradient of the upward slope is 1-3 percent, the gradient of the flat slope is <1 percent, the gradient of the downward slope is 1-3 percent, the gradient of the downward slope is 3-5 percent, and the gradient of the downward slope is 5-7 percent, which is 7 percent.
The gradient types of the secondary trunk road and the branch road are divided into: 9 kinds of slopes are selected from the group consisting of an "up slope gradient >7%", "up slope gradient 5-7%", "up slope gradient 3-5%", "up slope gradient 1-3%", "flat slope gradient <1%", "down slope gradient 1-3%", "down slope gradient 3-5%", "down slope gradient 5-7%", "down slope gradient > 7%".
In this embodiment, in step S3, various vehicles of different types are driven into a certain road section, and each vehicle is monitored by the RFID in real time from driving into and out of the road section.
The RFID data can record the passing time, the vehicle number plate, the vehicle type and the vehicle speed data of each vehicle, and the carbon emission amount of each vehicle passing through the road section can be calculated by combining the relation between the speed and the carbon emission amount, and the carbon emission amount of all vehicles passing through a road section in a certain time can be calculated by combining the vehicle type and the traffic flow.
The RFID data of the same vehicle are sequenced according to time, the time interval between two adjacent pieces of data is calculated, and when the time interval is smaller than a threshold h, the RFID point position where the vehicle passes is a continuous running point; when the time interval is greater than or equal to the threshold h, the RFID point through which the vehicle passes is taken as a starting point of the next section of travel, and all the vehicle driving paths are matched into the road network by the pushing, so that the traffic flow of each section of the urban road network is obtained; meanwhile, the vehicle RFID data is provided with a vehicle type field, the vehicle type composition in the road section traffic flow can be obtained according to the vehicle type field, and the road section speed data is obtained through GPS positioning data.
The vehicle type refers to the fact that the fuel is various gasoline, various diesel oil, electric large buses, medium buses, small buses and the like, and the carbon emission factors of the vehicles such as the large buses, the medium buses, the small buses and the like of different fuels are different, and are distinguished in measurement and calculation.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (8)
1. The urban road traffic carbon emission measuring and calculating method based on RFID and OBD data is characterized by comprising the following steps of: the method comprises the following steps:
s1, combing urban road information by taking a road section as a minimum unit to construct an urban road network database;
s2, constructing a speed and carbon emission relation model based on an urban road network database;
s3, substituting the traffic flow of the road section in the urban road network, the vehicle speed on the road section and the vehicle type into a speed and carbon emission relation model, and calculating to obtain the carbon emission of the road section;
s4, calculating the carbon emission of each road section according to the analogy of the step S3, and obtaining the total carbon emission of the urban road network by accumulating the carbon emission of each road section.
2. The method for measuring and calculating the carbon emission of urban road traffic based on RFID and OBD data according to claim 1, wherein the method comprises the following steps: the urban road information comprises a road name, a road type, a road section number, a section coordinate and a section gradient.
3. The method for measuring and calculating the carbon emission of urban road traffic based on RFID and OBD data according to claim 1, wherein the method comprises the following steps: based on the urban road network database, constructing a speed and carbon emission relation model specifically comprises the following steps:
s21, determining a buffer area of each road section;
s22, acquiring vehicle OBD data in the buffer areas of all road sections, and extracting travel tracks of vehicles in all road sections based on the vehicle OBD data; the vehicle OBD data comprise a vehicle ID, a vehicle longitude and latitude, a vehicle speed, a driving time, a vehicle accumulated mileage and a vehicle accumulated oil consumption;
s23, calculating to obtain the speed and hundred kilometers of oil consumption of the vehicle on each road section by taking the travel track of the vehicle as basic data;
s24, establishing a speed and carbon emission quantity relation model under different road segment types based on fossil fuel carbon emission factors of transportation departments and combining speed and hundred kilometers of oil consumption.
4. The method for measuring and calculating the carbon emission of urban road traffic based on RFID and OBD data according to claim 3, wherein: the buffer area of each road section is determined according to the following method:
respectively shifting the central line of the road section to two sides by a i The formed area is used as a buffer area; wherein a is i The offset value corresponding to the road segment with the road segment type i.
5. The method for measuring and calculating the carbon emission of urban road traffic based on RFID and OBD data according to claim 1, wherein the method comprises the following steps: determining a speed versus carbon emission model according to the following formula:
P i ＝∑ j EF ij *C*a j *L；
wherein P is i Carbon emission amount for a road segment of road segment type i; EF (electric F) ij Is a road section emission factor; c is the traffic flow of the road section; a, a j The vehicle type duty ratio for using fuel j; l is the road segment length.
6. The method for measuring and calculating the carbon emission of the urban road traffic based on the RFID and the OBD data according to claim 5, wherein the method comprises the following steps: determining the road segment emission factor EF according to the following formula ij ：
EF ij ＝f i (v)*E j /100；
Wherein f i (v) The fitting relation of the speed and hundred kilometers oil consumption under the road section type i is adopted; e (E) j Burning carbon emission factors for transportation departments; j is the fuel type.
7. The method for measuring and calculating the carbon emission of urban road traffic based on RFID and OBD data according to claim 3, wherein: the road section type comprises an expressway, a main road, a secondary main road and a branch road.
8. The method for measuring and calculating the carbon emission of urban road traffic based on RFID and OBD data according to claim 1, wherein the method comprises the following steps: in step S3, the RFID data of the same vehicle are sequenced according to time, the time interval between two adjacent pieces of data is calculated, and when the time interval is smaller than a threshold h, the RFID point position where the vehicle passes is a continuous running point; when the time interval is greater than or equal to the threshold h, the RFID point through which the vehicle passes is taken as the starting point of the next section of travel, and all the vehicle driving paths are matched into the road network by the pushing, so that the traffic flow of each section of the urban road network is obtained.
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| CN116229607A (en) * | 2023-05-09 | 2023-06-06 | 深圳市城市交通规划设计研究中心股份有限公司 | Prediction method of running carbon emission of motor vehicle, electronic equipment and storage medium |
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| CN116229607A (en) * | 2023-05-09 | 2023-06-06 | 深圳市城市交通规划设计研究中心股份有限公司 | Prediction method of running carbon emission of motor vehicle, electronic equipment and storage medium |
| CN116628395A (en) * | 2023-05-31 | 2023-08-22 | 重庆交通大学 | Urban terrain feature-based road vehicle carbon emission measuring and calculating method and system |
| CN116628395B (en) * | 2023-05-31 | 2024-03-01 | 重庆交通大学 | Urban terrain feature-based road vehicle carbon emission measuring and calculating method and system |
| CN117422594A (en) * | 2023-08-14 | 2024-01-19 | 广东省科学院广州地理研究所 | High space-time resolution highway van carbon emission metering method and device |
| CN117010667A (en) * | 2023-09-27 | 2023-11-07 | 深圳市城市交通规划设计研究中心股份有限公司 | Road traffic emission space tracing method, electronic equipment and storage medium |
| CN117010667B (en) * | 2023-09-27 | 2024-02-27 | 深圳市城市交通规划设计研究中心股份有限公司 | Road traffic emission space tracing method, electronic equipment and storage medium |
| CN117744952A (en) * | 2024-02-18 | 2024-03-22 | 四川省德阳生态环境监测中心站 | Atmospheric carbon emission analysis method and system based on time sequence network |
| CN117744952B (en) * | 2024-02-18 | 2024-05-17 | 四川省德阳生态环境监测中心站 | Atmospheric carbon emission analysis method and system based on time sequence network |
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