CN114997493A - Method and system for predicting carbon emission of vehicles on highway - Google Patents

Method and system for predicting carbon emission of vehicles on highway Download PDF

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CN114997493A
CN114997493A CN202210601754.7A CN202210601754A CN114997493A CN 114997493 A CN114997493 A CN 114997493A CN 202210601754 A CN202210601754 A CN 202210601754A CN 114997493 A CN114997493 A CN 114997493A
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李金洪
宋丽华
杨锐
张建成
宁伟
任强
马晓红
鹿全礼
于小苇
项泽文
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Shandong Center Information Technology Ltd By Share Ltd
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Abstract

The invention belongs to the technical field of traffic environments and provides a method and a system for predicting carbon emission of vehicles on a highway. The method comprises the steps of obtaining vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type; determining unit oil consumption based on the vehicle type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path which the vehicle runs through; and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.

Description

Method and system for predicting carbon emission of vehicles on highway
Technical Field
The invention belongs to the technical field of traffic environments, and particularly relates to a method and a system for predicting carbon emission of vehicles on a highway.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
The ETC portal system is a necessary hardware facility after a high-speed provincial toll station is cancelled, and is also a necessary supplement after the physical removal of the original provincial toll station. The ETC portal system replaces the original function of a provincial toll station, is erected above a highway like a traffic probe, reads information of a vehicle-mounted ETC through a radio frequency device, realizes accurate recording of a vehicle driving path, and does not need to slow down when a vehicle passes through. Accurate charging is realized while ensuring fast non-stop passing, and the charging is not only the shortest path from the 'inbound' to the 'outbound'.
At present, expressways are just started in the aspect of low carbon emission reduction, and a double-carbon digital energy management system constructed on expressways in partial areas realizes intelligent monitoring of the whole line energy utilization condition of the expressways, but ignores a main body of a main traffic participant, namely a vehicle, of the expressways. The vehicle emission is one of important sources of the carbon emission of the expressway, the conventional vehicle carbon emission measuring and calculating method usually carries out regular and quantitative estimation based on historical data, and a real-time measuring and calculating method capable of depicting the carbon emission distribution of the expressway at the current moment is lacked, and a visual platform is also lacked. Meanwhile, the historical highway carbon emission model usually takes a region as a research object, and the geographic structure characteristics of a highway road network are ignored.
In summary, the current status of carbon emission on expressways has the following problems:
1. carbon emissions of highway driving vehicles are ignored;
2. the carbon emission of vehicles running on the highway can not be calculated in real time and visualized;
3. the carbon emission distribution does not characterize the structure of the highway network.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a method and a system for predicting carbon emission of vehicles on an expressway, which can realize real-time calculation of carbon emission of vehicles running on the expressway.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for predicting carbon emission of highway vehicles.
A method for predicting carbon emission of highway vehicles comprises the following steps:
acquiring vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type;
determining unit oil consumption based on the vehicle type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path which the vehicle runs through;
and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.
Further, the specific process for obtaining the carbon emission of the vehicle comprises the following steps:
and if the vehicle is the ETC vehicle, determining the unit oil consumption according to the vehicle type of the vehicle, and combining the path length traveled by the vehicle and the carbon emission factor to obtain the first carbon emission of the vehicle.
Further, the specific process of obtaining the carbon emission of the vehicle comprises the following steps:
and if the vehicle is the MTC vehicle, determining the specific oil consumption of the vehicle in the deceleration process, the specific oil consumption of the vehicle in the idling process and the specific oil consumption of the vehicle in the acceleration process according to the type of the vehicle, and combining the distance that the vehicle runs through a set range to obtain the second carbon emission of the vehicle.
Further, within the set range, the cumulative sum of all the vehicle carbon emissions over the set period is the cumulative sum of the first carbon emissions of all the ETC vehicles plus the cumulative sum of the second carbon emissions of all the MTC vehicles.
Further, the determining the highway network structure specifically includes: the toll station is abstracted into nodes, the ETC portal frame and the junction interchange are abstracted into virtual nodes, and road sections connecting the nodes are abstracted into edges to construct a highway network structure.
Further, the setting range includes: carbon emissions per toll station node and/or per continuous edge in a highway network structure.
Further, the total vehicle carbon emissions are zeroed at a set time of day.
A second aspect of the invention provides a system for predicting carbon emissions from highway vehicles.
A highway vehicle carbon emission prediction system comprising:
a data acquisition module configured to: acquiring vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type;
a prediction module configured to: determining unit oil consumption based on the vehicle type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path which the vehicle runs through;
a determination module configured to: and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.
Further, the system also includes a display module configured to: displaying colors corresponding to different carbon emission.
A third aspect of the invention provides a computer-readable storage medium.
A computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps in the method for predicting highway vehicle carbon emission according to the first aspect described above.
A fourth aspect of the invention provides a computer apparatus.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the steps in the method for predicting highway vehicle carbon emissions as described in the first aspect above.
Compared with the prior art, the invention has the beneficial effects that:
the method can realize the real-time calculation of the carbon emission of the running vehicles on the highway and display the carbon emission in real time through a visual platform. When the carbon emission reaches a set threshold value, the system can send out early warning, and relevant personnel can take some emergency measures at the moment; for places with more carbon emission, a series of targeted emission reduction measures can be made in advance. The method has important practical significance for determining the low-carbon emission reduction target of traffic transportation and making a differentiated traffic low-carbon emission reduction strategy.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart illustrating a method for predicting carbon emissions from highway vehicles in accordance with an embodiment of the present invention;
FIG. 2 is a diagram illustrating an example of an actual highway network according to one embodiment of the present invention;
fig. 3 is a topology diagram of a highway network according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It is noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, a segment, or a portion of code, which may comprise one or more executable instructions for implementing the logical function specified in the respective embodiment. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Example one
As shown in fig. 1, the embodiment provides a method for predicting carbon emission of highway vehicles, and the embodiment is exemplified by applying the method to a server, it is understood that the method can also be applied to a terminal, and can also be applied to a system including the terminal and the server, and is implemented by interaction between the terminal and the server. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network server, cloud communication, middleware service, a domain name service, a security service CDN, a big data and artificial intelligence platform, and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. In this embodiment, the method includes the steps of:
acquiring vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type;
determining unit oil consumption based on the vehicle type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path which the vehicle runs through;
and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.
The specific technical solution of this embodiment can be implemented with reference to the following contents:
based on the idea of a complex network, the topology of an actual highway network is abstracted, toll stations are abstracted into nodes (one toll station is abstracted into one node), ETC gantries and junction interchanges are abstracted into virtual nodes (an upstream ETC gantry and a downstream ETC gantry at the same position are abstracted into one virtual node), and road sections connecting the nodes are abstracted into edges. The highway network structure constructed by the method is the same as the actual highway structure, and simultaneously embodies the geographic characteristics of the highway in the real world. As shown in fig. 2 and 3.
The highway networking charging data is composed of a plurality of fields, and the driving track, the driving time, the characteristics of the vehicle and the like of the vehicle are completely recorded. The networking charging data generated in real time can calculate the carbon emission of each toll station node and each connecting edge in the highway topological network in real time. When the vehicle is detected to pass through, data updating is carried out once through accumulation, and meanwhile, a visual platform is constructed to achieve real-time display of results.
(1) When a vehicle enters an entrance/exit lane of the toll station (the queuing behavior of the vehicle at the toll station is not considered temporarily in the embodiment), the calculation process of the carbon emission amount at the toll station can be realized by adopting the following scheme:
1) the lane detection system reads vehicle information in the OBU/CPC card and uploads the vehicle type to the processor, and the processor judges which type of fuel is used by the vehicle according to the vehicle type; specifically, the fuel type can be determined by vehicle type, by dividing the vehicle type into audi A8, tesla model3, and the like.
2) The processor calculates the carbon emission of the ETC vehicle according to a formula (1), and calculates the carbon emission of the MTC vehicle according to a formula (3);
CDE i ＝OC CT ×ξ×L (1)
OC CT ＝f(v) (2)
in the formula: CDE i Carbon emission of the ith ETC vehicle; OC CT Calculating unit oil consumption (L) of vehicles of different vehicle types according to a speed-oil consumption (L) function f (v) of the vehicle type, wherein the oil consumption of different vehicle types CT is different under different running speeds v, for example, the speed-oil consumption function of BMW 5 is OC Baoma 5 series ＝0.00026v 2 0.09965v +4.02106 (this function needs to be derived by testing each type of vehicle); the highest speed limit of the ETC lane is 20, so that v is 20km/h in calculation; xi is carbon emission factor of different energy sources, and according to the version of IPCC guideline modified in 2019, the gasoline emission coefficient is 2.361kgCO 2 Per L, diesel emission coefficient of 2.778kgCO 2 L; l is the length of the path that the vehicle passes through, here is the length of the toll plaza, according to the design code of expressway toll stations and toll plaza, the ramp toll plaza is generally 50m, so the L is 0.05 km.
The MTC vehicle should undergo a deceleration-idle-acceleration process at the toll booth. The carbon emissions of the vehicle for this process are calculated as follows.
Figure BDA0003670008850000071
Figure BDA0003670008850000072
Figure BDA0003670008850000073
In the formula: CDE j Is the carbon emission of the jth MTC vehicle,
Figure BDA0003670008850000074
is the unit oil consumption of the vehicle in the process of deceleration, and the speed of the vehicle in the process can be the average speed of the vehicle in the process of deceleration
Figure BDA0003670008850000081
60km/h is the urban road speed limit; l is here the length of half a toll plaza, 25 m;
Figure BDA0003670008850000082
the fuel consumption (L/min) of vehicles of different models in idling is also obtained through testing;
Figure BDA0003670008850000083
is the unit oil consumption of the vehicle acceleration process, and the speed of the vehicle in the process can be the average speed of the vehicle acceleration
Figure BDA0003670008850000084
100km/h is the speed limit of the highway.
3) And the processor calculates the accumulated carbon emission amount and CDE of all vehicles in a set time period within a set range, the CDE is calculated through a formula (6), and the calculation result is uploaded to a visualization platform to be displayed.
Within a set range, the cumulative sum CDE of all vehicle carbon emissions for a set period:
CDE＝∑ i CDE i +∑ j CDE j (6)
(2) when the carbon emission of all vehicles within a certain period of time is calculated, the following scheme can be adopted:
1) the ETC portal system reads vehicle information in the OBU/CPC card and uploads the name and time of a vehicle type and a previous detection point (toll station/ETC portal) passed by the vehicle to the processor;
the vehicle A drives into the highway from the toll station A, and carbon emission can be carried out in the process of paying at the toll station.
If the vehicle A walks the ETC lane, a carbon emission calculation formula of the ETC lane is used; and if the MTC lane is walked, using a calculation formula of the MTC lane.
The vehicle carbon a emission calculation process at the toll booth can be described as: when a vehicle enters the entrance lane of the toll station, the lane detection module (existing in the toll station) reads the information of the vehicle and transmits the type of the vehicle to the carbon emission detection module/system, and the carbon emission detection module stores carbon emission formulas of different types of vehicles in advance. After the vehicle type parameters are obtained, the carbon emission of the vehicle A is obtained through calculation and uploaded to a visual platform, and the node A is visually displayed.
And (3) the vehicle A continues to run forwards to reach the ETC portal frame, and the average speed of the vehicle A is calculated according to the time when the vehicle A passes through the toll station A and the ETC portal frame and the distance from the toll station A to the ETC portal frame, so that the carbon emission amount of the vehicle A from the toll station A to the ETC portal frame is calculated. After the carbon emission detection module/system calculates, the side A-gantry (road section) is visualized.
Every time one vehicle passes through a toll station or an ETC portal, the carbon emission system carries out calculation once, and the visual platform is updated once.
2) The processor judges which type of fuel is used by the vehicle according to the vehicle type, calculates the average speed of the vehicle between two detection points, and calculates the carbon emission of the vehicle on the road section by using the formula (1);
CDE i ＝OC CT ×ξ×L (1)
OC CT ＝f(v) (2)
wherein, CDE i Carbon emission of the ith vehicle; OC CT For vehicles of different modelsAnd the level oil consumption (L) is calculated by a speed-oil consumption (L) function f (v) of the vehicle type, xi is a carbon emission factor of different energy sources, v is the average speed of the vehicle between two detection points, and L is the actual path length between the two detection points.
3) The carbon emission CDE of all vehicles can be obtained by using the formula (7), and the calculation result is uploaded to a visualization platform to be displayed.
CDE＝∑ i CDE i (7)
(3) The process of judging the alarm can be realized by referring to the following processes:
1) receiving a toll station and the calculated carbon emission;
2) different carbon emission amounts are displayed by different colors on the topological structure network of the expressway;
3) judging whether the threshold value is exceeded or not;
4) if yes, sending out an early warning prompt, otherwise, returning to the step 1).
If only one vehicle is detected to pass by, the processor can perform one-time superposition on the carbon emission value and transmit the carbon emission value to the system platform. The system platform updates the graph every ten minutes (or any other reasonable time interval) and counts again at 00:00 a day. By setting a threshold range for the carbon emission, the system automatically gives an early warning when the actual carbon emission exceeds the threshold range.
Example two
The embodiment provides a carbon emission amount prediction system for a highway vehicle.
A highway vehicle carbon emission prediction system comprising:
a data acquisition module configured to: acquiring vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type;
a prediction module configured to: determining unit oil consumption based on the vehicle type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path which the vehicle runs through;
a determination module configured to: and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.
In addition, the system also comprises a display module which is used for displaying the topological structure network diagram of the expressway in different colors according to different carbon emission amounts.
It should be noted here that the data acquiring module, the predicting module, the judging module and the displaying module are the same as the example and the application scenario realized by the steps in the first embodiment, but are not limited to the disclosure of the first embodiment. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
EXAMPLE III
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the method for predicting the carbon emission of a highway vehicle as described in the first embodiment above.
Example four
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the method for predicting the carbon emission of the highway vehicle according to the embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a computer readable storage medium and executed by a computer to implement the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for predicting carbon emission of highway vehicles is characterized by comprising the following steps:
acquiring vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type;
determining unit oil consumption based on the type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path traveled by the vehicle;
and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.
2. The method for predicting carbon emissions of a highway vehicle according to claim 1, wherein the concrete process of obtaining the carbon emissions of the vehicle comprises:
and if the vehicle is the ETC vehicle, determining the unit oil consumption according to the vehicle type of the vehicle, and combining the path length traveled by the vehicle and the carbon emission factor to obtain the first carbon emission of the vehicle.
3. The method for predicting carbon emissions of a highway vehicle according to claim 2, wherein the concrete process of obtaining the carbon emissions of the vehicle comprises the following steps:
and if the vehicle is the MTC vehicle, determining the unit oil consumption of the vehicle in the deceleration process, the unit oil consumption of the vehicle in the idling process and the unit oil consumption of the vehicle in the acceleration process according to the type of the vehicle, and combining the distance that the vehicle travels through a set range to obtain the second carbon emission of the vehicle.
4. The method according to claim 3, characterized in that, within the set range, the cumulative sum of all the vehicle carbon emissions over a set period is the cumulative sum of the first carbon emissions of all the ETC vehicles plus the cumulative sum of the second carbon emissions of all the MTC vehicles.
5. The method of predicting carbon emissions from highway vehicles according to claim 1, wherein said determining a highway network architecture specifically comprises: the toll station is abstracted into nodes, the ETC portal frame and the junction interchange are abstracted into virtual nodes, and road sections connecting the nodes are abstracted into edges to construct a highway network structure.
6. The method of predicting carbon emissions of highway vehicles according to claim 1, wherein the set range includes: carbon emission of each toll station node and/or each connecting edge in the highway network structure;
or the like, or, alternatively,
the total vehicle carbon emissions are zeroed at a set time per day.
7. A system for predicting carbon emissions from highway vehicles, comprising:
a data acquisition module configured to: acquiring vehicle information of a certain vehicle, wherein the vehicle information comprises a vehicle type;
a prediction module configured to: determining unit oil consumption based on the type of the vehicle, and obtaining the carbon emission of the vehicle by combining the length of a path traveled by the vehicle;
a determination module configured to: and determining the network structure of the expressway, judging whether the accumulated sum of the carbon emission of all vehicles in a set time period is greater than a set threshold value within a set range, and if so, giving an early warning prompt.
8. The highway vehicle carbon emission prediction system of claim 7, further comprising a display module configured to: displaying colors corresponding to different carbon emission.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps in the method for predicting the carbon emissions of a highway vehicle according to any one of claims 1 to 6.
10. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the program carries out the steps in the method of predicting the carbon emissions of motorway vehicles according to any of claims 1-6.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116822779A (en) * 2023-02-06 2023-09-29 长安大学 Expressway motor vehicle carbon emission calculation method based on mobile phone signaling data
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
CN116822779B (en) * 2023-02-06 2024-06-04 长安大学 Expressway motor vehicle carbon emission calculation method based on mobile phone signaling data

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116822779A (en) * 2023-02-06 2023-09-29 长安大学 Expressway motor vehicle carbon emission calculation method based on mobile phone signaling data
CN116822779B (en) * 2023-02-06 2024-06-04 长安大学 Expressway motor vehicle carbon emission calculation method based on mobile phone signaling data
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

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