CN116994441B - Traffic flow information data processing method and system - Google Patents
Traffic flow information data processing method and system Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The application discloses a traffic flow information data processing method and system. Firstly, acquiring the traffic passing data of a target area passing through each traffic gate in a set time period; acquiring vehicle information in a vehicle information system through the vehicle license plate number; then, calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; and finally, carrying out flow abnormality identification based on the vehicle flow passing through each bayonet, and correcting the flow abnormal value. The application can integrate the vehicle running information, recover the abnormal value and obtain the traffic flow information data of the whole road network in the area at different moments.
Description
Technical Field
The present application relates to the field of traffic flow information technologies, and in particular, to a traffic flow information data processing method and system.
Background
The increase in the amount of automotive use increases the mobility of human activities, but also brings about serious problems such as excessive consumption of fossil fuel, climate change and air pollution. The automobile emissions cause serious air pollution problems to the very large city worldwide, which is the urban carbon dioxide (CO) 2 ) And nitrogen oxidationObject (NO) X ) And to a large extent, the concentration of fine particulate matter (PM 2.5) increases. With the gradual population migration to cities, the number of vehicles is further increased, the risk of increasing traffic pollution and the risk of further worsening urban environment are increased, and precise control of emission of various pollutants in traffic is highly demanded. Quantification of pollutant emissions from the transportation sector is a very urgent research project, and in order to realize further research on regional emission reduction policies, it is first necessary to obtain actual running and emission conditions of individual vehicles widely. However, current datasets are not satisfactory.
Because of the high cost of directly monitoring the running track of a large number of single vehicles, only researches aiming at actual measurement of single vehicles in partial cities or regions exist at present, and most traffic flow activity data and vehicle technical attribute information are mainly obtained through simulation and sampling investigation; the accuracy of vehicle trajectories and information is limited by sample space or time coverage and representative of the sample data.
Meanwhile, due to the fact that traffic flow track information has large traffic flow data quantity, in view of the performance of the detection device, under the influence of complex road environment and bad weather, the test equipment can not accurately detect the running information of a real vehicle, and abnormal data often exist in traffic flow information records. It is difficult to directly apply to the computational requirements of a dynamic traffic data application. The traffic flow data needs to be identified and cleaned, abnormal values are usually removed after the abnormal data is manually identified at present, so that the situation that the data is invalid all the day due to the fact that a large amount of missing data exists in the current day occurs, and the usability of the data is greatly reduced.
The real road traffic situation is difficult to reflect by the partially simulated traffic data, and the application of the near real-time traffic flow data is difficult to realize due to the huge data volume of the actually measured traffic flow and the complicated data processing process. Meanwhile, the bayonet detection equipment is easily affected by weather and the like, meanwhile, the conditions of traffic limitation, construction and the like exist in a driving road, and more abnormal values exist in traffic flow information; the workload of manually identifying abnormal values is large, and the identified abnormal data and missing data are directly removed, so that the availability of all-day data failure data is greatly reduced. Meanwhile, due to the existence of abnormal values, the actually measured traffic flow data are difficult to be matched and coupled with other databases, so that further comprehensive application of the vehicle track information is prevented.
Disclosure of Invention
Based on the above, the embodiment of the application provides a traffic flow information data processing method and a system, which can integrate vehicle running information, recover abnormal values and obtain traffic flow information data of different moments of a whole road network.
In a first aspect, there is provided a traffic flow information data processing method, the method comprising:
acquiring the traffic passing data of the target area passing through each traffic gate in a set time period; the data of the passing of the vehicle at the bayonet comprise passing time, license plate numbers of motor vehicles and passing speed;
acquiring vehicle information in a vehicle information system through the vehicle license plate number; wherein the vehicle information includes at least emission standards, vehicle type, fuel type, and age;
calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; the traffic flow coupling data at least comprises vehicle flow, vehicle proportion and average speed information;
the flow rate abnormality is identified based on the vehicle flow rate passing through each of the bayonets, and the flow rate abnormality value is corrected.
Optionally, acquiring the vehicle information in the vehicle information system through the vehicle license plate number includes:
when the license plate numbers of the motor vehicles can be matched in the motor vehicle information system, the driving information and the motor vehicle information are matched according to the coupling of the license plate numbers of the motor vehicles; further determining emission standards, vehicle types, fuel types and vehicle ages according to the coupling matching result;
when the license plate number of the motor vehicle cannot be matched in the motor vehicle information system, searching other bayonet records through fuzzy matching, determining the type of the vehicle through the length of the vehicle body, and matching corresponding emission standards according to the average vehicle age of similar vehicle types.
Optionally, determining the vehicle type through the length of the vehicle body includes:
when the length of the vehicle body is less than 4 meters, determining that the current vehicle is a motorcycle, a taxi or a light passenger car;
when the length of the vehicle body is more than 4 meters and less than 6 meters, determining that the current vehicle is a medium passenger vehicle or a light truck;
when the length of the vehicle body is greater than 6 meters, the current vehicle is determined to be a bus, a large passenger car or a heavy cargo car.
Optionally, matching the corresponding emission standard according to the average vehicle ages of the similar vehicle types comprises:
and matching corresponding emission standards according to the median of the average vehicle ages of the similar vehicle types.
Optionally, the identifying of the abnormal flow rate based on the vehicle flow rate passing through each bayonet and the correcting of the abnormal flow rate value include:
comparing the vehicle flow of each bayonet with the historical average vehicle flow, and when the vehicle flow exceeds the historical average vehicle flow by a preset proportion, manually consulting a set time period to determine whether construction and limitation exists on a road section of the bayonet; wherein the preset proportion is 60%;
and when no construction and limited time exists, determining that the vehicle flow passing through the bayonet in the set time period is an abnormal value.
Optionally, when there is no construction and no time limit, after determining that the vehicle flow passing through the bayonet in the set time period is an abnormal value, the method further includes:
replacing the abnormal value with a flow average value in a set time interval; wherein the set time interval is the first 10 effective days.
Optionally, when acquiring the traffic passing data of the target area passing each traffic gate in the set time period, the method further comprises:
preprocessing the data of the vehicle passing through the gate, and manually identifying and eliminating the data which are not identified, are abnormal in identification and are missing.
Optionally, the method further comprises:
based on geographic information of bayonets, traffic flow conditions of different bayonets are displayed based on a map.
Optionally, acquiring the traffic data of the target area passing through each traffic gate in the set time period includes:
and establishing a data transmission relation with the motor vehicle inspection system, and obtaining the vehicle passing data after determining the target area and the set time period.
In a second aspect, there is provided a traffic flow information data processing system, the system comprising:
the acquisition module is used for acquiring the traffic passing data of the bayonets passing through each bay in the set time period of the target area; the data of the passing of the vehicle at the bayonet comprise passing time, license plate numbers of motor vehicles and passing speed;
the information determining module is used for acquiring vehicle information from a vehicle information system through the vehicle license plate number; wherein the vehicle information includes at least emission standards, vehicle type, fuel type, and age;
the calculation integration module is used for calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; the traffic flow coupling data at least comprises vehicle flow, vehicle proportion and average speed information;
the abnormality recognition module is used for recognizing flow abnormality based on the vehicle flow passing through each bayonet and correcting the flow abnormality value.
In the technical scheme provided by the embodiment of the application, firstly, the traffic passing data of the target area passing through each traffic opening in a set time period is obtained; acquiring vehicle information in a vehicle information system through the vehicle license plate number; then, calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; and finally, carrying out flow abnormality identification based on the vehicle flow passing through each bayonet, and correcting the flow abnormal value.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least: and according to the real-time running information of the motor vehicle on the road, the detailed information of each vehicle is obtained by combining with license plate information, and the missing value and the abnormal value are corrected and recovered, so that the real running condition and each running parameter of the real motor vehicle can be reflected. Meanwhile, the flow and average speed of the motor vehicle on each road are calculated, and because the road network matching is carried out by combining longitude and latitude data of each bayonet based on the actual bayonet record, compared with the running information of different road sections calculated by the based on the conservation quantity simulation, the accuracy and the spatial resolution of the obtained traffic flow are far higher than those of the traditional conservation quantity simulation vehicle flow information by coupling the actual data.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
FIG. 1 is a flow chart of a traffic flow information data processing step provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a traffic flow coupling dataset according to an embodiment of the present application;
fig. 3 is a traffic flow information data processing technology roadmap provided by an embodiment of the application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In the description of the present application, the terms "comprises," "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements but may include other steps or elements not expressly listed but inherent to such process, method, article, or apparatus or steps or elements added based on further optimization of the inventive concept.
The application aims to solve the problems in the acquisition of single vehicle track information of the existing motor vehicle, and the application aims to provide a vehicle running information integration method for the motor vehicle, and at the same time, the abnormal value is recovered to obtain traffic flow information of different moments of a whole road network, comprising the following steps: the traffic and speed of different types of motor vehicles passing through the road network at different moments. The specific process is shown in the following figure: the traffic flow data processing system acquires vehicle license plates and running speeds passing through different bayonets at different moments from the motor vehicle inspection system, and identifies and recovers abnormal values; the vehicle license plate is utilized to acquire information such as vehicle type, emission standard, fuel type, vehicle age and the like from a motor vehicle information system, then the data are summarized and arranged, abnormal flow conditions are identified, and information such as flow, proportion, average speed and the like of various vehicles passing through different bayonets in different time periods is obtained. Specifically, please refer to fig. 1, which illustrates a flow chart of a traffic flow information data processing method according to an embodiment of the present application, the method may include the following steps:
step 101, acquiring the traffic passing data of the bayonets passing through each bay in a set time period in the target area.
In the embodiment of the application, a data transmission relation is established with a national motor vehicle inspection system, related bayonet data can be acquired, and the bayonet passing data can be acquired after a target area and a set time period are determined. The target area may be a selected area, a city, etc., and the target area includes a plurality of bayonets, and the set period of time may refer to a past 1 hour, a past 1 day, or a specified time interval. The stuck vehicle data includes the time of passage, the number of motor vehicle license plates and the speed of passage.
In an alternative embodiment of the application, the bayonet detection equipment is easily affected by weather and the like, and meanwhile, the conditions of traffic limitation, construction and the like exist in a driving road, and misoperation or equipment failure and the like can cause data loss at certain moments, so that original traffic jam passing data are difficult to directly use, and the data need to be processed first. Firstly, the original data is used as a statistical unit according to 1 hour and 1 day, the data of the bus passing through the bus at the bus entrance is required to be preprocessed before the formal data calculation and matching are carried out, and the data with serious anomalies are identified, matched and recovered. The data difference in the traffic gate data flow acquisition process is comprehensively considered, and a corresponding abnormal value identification and processing method is designed, and is shown in the following table, so that abnormal data cleaning and data normalization are realized. Table 1 shows the method for identifying and processing abnormal values according to the embodiment of the present application.
Step 102, acquiring vehicle information in a vehicle information system through a license plate number of the vehicle.
The vehicle information at least comprises emission standards, vehicle types, fuel types and vehicle ages.
When the driving information is recorded in the bayonet, vehicles with license plate numbers cannot be accurately identified due to the reasons of unclear identification and the like caused by identification errors or weather reasons, vehicle types and vehicle lengths are identified in the bayonet driving records, matching is carried out according to 8 large vehicle types, vehicle age and emission standard recovery is carried out according to the median of the same vehicle types recorded in the same bayonet and through the vehicle emission standard, and then a coupling matching link is entered.
Specifically, when the license plate number of the motor vehicle can be matched in the motor vehicle information system, the driving information and the motor vehicle information are matched according to the coupling of the license plate number of the motor vehicle; further determining emission standards, vehicle types, fuel types and vehicle ages according to the coupling matching result;
when the license plate number of the motor vehicle cannot be matched in the motor vehicle information system, searching other bayonet records through fuzzy matching, determining the type of the vehicle through the length of the vehicle body, and matching corresponding emission standards according to the average vehicle age of similar vehicle types.
When the length of the vehicle body is less than 4 meters, determining that the current vehicle is a motorcycle, a taxi or a light passenger car; when the length of the vehicle body is more than 4 meters and less than 6 meters, determining that the current vehicle is a medium passenger vehicle or a light truck; when the length of the vehicle body is greater than 6 meters, the current vehicle is determined to be a bus, a large passenger car or a heavy cargo car.
And 103, calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period.
The traffic flow coupling data at least comprises vehicle flow, vehicle proportion and average speed information.
The application is connected with the national motor vehicle inspection system and the motor vehicle information system, and the national motor vehicle inspection and control system can record the information of each vehicle passing through the bayonets, including the information of license plate numbers, vehicle speed, vehicle types, passing time and the like. The traffic flow information data processing system is used for calling the motor vehicle passing information of all bayonets in the road network in the national motor vehicle checking system in real time, wherein the motor vehicle passing information comprises passing time, passing speed and motor vehicle license plate number.
After the data which is not identified, abnormal identified and data missing is manually identified and removed through data cleaning and preprocessing, the real-time traffic flow information data processing system is networked with a national motor vehicle inspection system and a motor vehicle information system, and information is called in real time for processing. The vehicle information system can obtain the detailed classification and emission standard of the vehicle, and the application divides the vehicle into: class 8 motor vehicles, such as small passenger vehicles, taxis, buses, medium passenger vehicles, large passenger vehicles, motorcycles, light trucks, and heavy trucks; different emission standards; country 0, country I, country II, country III, country IV and country V, or country 0, country 1, country 2, country 3, country 4, country 5. And (3) inquiring the vehicle information system by using the license plate number through the license plate number matching, and outputting the vehicle passing information of different types of vehicles in different road sections at different moments.
Step 104, identifying flow anomalies based on the vehicle flow passing through each bayonet, and correcting the flow anomalies.
Specifically, the data of all the motor vehicles are classified, summarized and arranged, so that the flow, the vehicle composition data and the average running speed of the vehicles on different road sections on the road network at different moments can be obtained, as shown in fig. 2. Meanwhile, the traffic flow comparison of the same-gate traffic is set, whether the traffic record is abnormal or not is analyzed, if the traffic change range exceeds the average traffic range of 60% of 30 effective days in the traffic cycle, the traffic record is manually checked to see whether special conditions such as construction and traffic limitation exist on a road section on the current date, and if abnormal traffic data caused by the special road conditions exist, task data are valid; otherwise, the day is considered as invalid data, and the average value of the flow of the first 10 valid days is selected for replacement.
The visual display system can display on different dimensions, and display traffic flow conditions of different bayonets based on the geographic information of the bayonets based on the map. Users can select different regional scales according to actual needs, and the flow and average speed conditions of different types of vehicles are displayed in a self-defining mode at different moments.
In summary, it can be seen that the traffic flow information data processing method can realize near real-time vehicle information covered by the whole road network of the selected area: identifying the emission of different types of motor vehicles, including light passenger vehicles, taxis, buses, medium passenger vehicles, large passenger vehicles, motorcycles, light cargo vehicles and heavy cargo vehicles 8; detailed information such as fuel type, emission standard, motor vehicle age and the like of each single vehicle can be further obtained; the vehicle flow passing through all the roads in the selected area can be calculated; the vehicle running speeds at different moments in near real time can be calculated, and the time resolution is 5 minutes at the lowest; the application realizes the identification and processing of data deletion, abnormal matching and abnormal identification data and the coupling matching parameter selection. As shown in fig. 3, a roadmap of the traffic flow information data processing technique of the present application is presented.
The embodiment of the application also provides a traffic flow information data processing system. The system comprises:
the acquisition module is used for acquiring the traffic passing data of the bayonets passing through each bay in the set time period of the target area; the data of the passing of the vehicle at the bayonet comprise passing time, license plate numbers of the motor vehicle and passing speed;
the information determining module is used for acquiring vehicle information from a vehicle information system through a vehicle license plate number; wherein the vehicle information includes at least emission standard, vehicle type, fuel type, and vehicle age;
the calculation integration module is used for calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; the traffic flow coupling data at least comprises vehicle flow, vehicle proportion and average speed information;
the abnormality recognition module is used for recognizing flow abnormality based on the vehicle flow passing through each bayonet and correcting the flow abnormality value.
The traffic flow information data processing system provided by the embodiment of the present application is used for implementing the traffic flow information data processing method, and the specific limitation of the traffic flow information data processing system can be referred to the limitation of the traffic flow information data processing method hereinabove, and is not repeated herein. The various portions of the traffic flow information data processing system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or independent of a processor in the device, or may be stored in software in a memory in the device, so that the processor may call and execute operations corresponding to the above modules.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the claims. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (6)
1. A traffic flow information data processing method, the method comprising:
acquiring the traffic passing data of the target area passing through each traffic gate in a set time period; the data of the passing of the vehicle at the bayonet comprise passing time, license plate numbers of motor vehicles and passing speed;
acquiring vehicle information in a vehicle information system through the vehicle license plate number; wherein the vehicle information includes at least emission standards, vehicle type, fuel type, and age;
calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; the traffic flow coupling data at least comprises vehicle flow, vehicle proportion and average speed information;
identifying abnormal flow based on the vehicle flow passing through each bayonet, and correcting abnormal flow values;
acquiring vehicle information in a vehicle information system through the vehicle license plate number comprises the following steps:
when the license plate numbers of the motor vehicles can be matched in the motor vehicle information system, the driving information and the motor vehicle information are matched according to the coupling of the license plate numbers of the motor vehicles; further determining emission standards, vehicle types, fuel types and vehicle ages according to the coupling matching result;
when the license plate number of the motor vehicle cannot be matched in the motor vehicle information system, searching other bayonet records through fuzzy matching, determining the type of the vehicle through the length of the vehicle body, and matching corresponding emission standards according to the average vehicle ages of similar vehicle types;
determining the type of the vehicle through the length of the vehicle body comprises the following steps:
when the length of the vehicle body is less than 4 meters, determining that the current vehicle is a motorcycle, a taxi or a light passenger car;
when the length of the vehicle body is more than 4 meters and less than 6 meters, determining that the current vehicle is a medium passenger vehicle or a light truck;
when the length of the vehicle body is greater than 6 meters, determining that the current vehicle is a bus, a large passenger car or a heavy cargo car;
the method for matching the corresponding emission standard according to the average vehicle ages of similar vehicle types comprises the following steps:
matching corresponding emission standards according to the median of the average vehicle ages of similar vehicle types;
identifying flow anomalies based on the vehicle flow through each bayonet and correcting the flow anomalies, comprising:
comparing the vehicle flow of each bayonet with the historical average vehicle flow, and when the vehicle flow exceeds the historical average vehicle flow by a preset proportion, manually consulting a set time period to determine whether construction and limitation exists on a road section of the bayonet; wherein the preset proportion is 60%;
and when no construction and limited time exists, determining that the vehicle flow passing through the bayonet in the set time period is an abnormal value.
2. The traffic flow information data processing method according to claim 1, wherein when there is no construction, limited time, after determining that the vehicle flow through the gate in the set period of time is an abnormal value, the method further comprises:
replacing the abnormal value with a flow average value in a set time interval; wherein the set time interval is the first 10 effective days.
3. The traffic flow information data processing method according to claim 1, wherein when acquiring the traffic passing data of the target area through each of the bayonets in the set period of time, the method further comprises:
preprocessing the data of the vehicle passing through the gate, and manually identifying and eliminating the data which are not identified, are abnormal in identification and are missing.
4. The traffic flow information data processing method according to claim 1, characterized in that the method further comprises:
based on geographic information of bayonets, traffic flow conditions of different bayonets are displayed based on a map.
5. The traffic flow information data processing method according to claim 1, wherein acquiring the traffic flow information data of the target area passing each of the bayonets in the set period of time, comprises:
and establishing a data transmission relation with the motor vehicle inspection system, and obtaining the vehicle passing data after determining the target area and the set time period.
6. A traffic flow information data processing system, the system comprising:
the acquisition module is used for acquiring the traffic passing data of the bayonets passing through each bay in the set time period of the target area; the data of the passing of the vehicle at the bayonet comprise passing time, license plate numbers of motor vehicles and passing speed;
the information determining module is used for acquiring vehicle information from a vehicle information system through the vehicle license plate number; wherein the vehicle information includes at least emission standards, vehicle type, fuel type, and age;
the calculation integration module is used for calculating and integrating the acquired passing time, passing speed and vehicle information data to determine traffic flow coupling data of the target area passing through each bayonet in a set time period; the traffic flow coupling data at least comprises vehicle flow, vehicle proportion and average speed information;
the abnormal recognition module is used for recognizing flow abnormal based on the vehicle flow passing through each bayonet and correcting the flow abnormal value;
acquiring vehicle information in a vehicle information system through the vehicle license plate number comprises the following steps:
when the license plate numbers of the motor vehicles can be matched in the motor vehicle information system, the driving information and the motor vehicle information are matched according to the coupling of the license plate numbers of the motor vehicles; further determining emission standards, vehicle types, fuel types and vehicle ages according to the coupling matching result;
when the license plate number of the motor vehicle cannot be matched in the motor vehicle information system, searching other bayonet records through fuzzy matching, determining the type of the vehicle through the length of the vehicle body, and matching corresponding emission standards according to the average vehicle ages of similar vehicle types;
determining the type of the vehicle through the length of the vehicle body comprises the following steps:
when the length of the vehicle body is less than 4 meters, determining that the current vehicle is a motorcycle, a taxi or a light passenger car;
when the length of the vehicle body is more than 4 meters and less than 6 meters, determining that the current vehicle is a medium passenger vehicle or a light truck;
when the length of the vehicle body is greater than 6 meters, determining that the current vehicle is a bus, a large passenger car or a heavy cargo car;
the method for matching the corresponding emission standard according to the average vehicle ages of similar vehicle types comprises the following steps:
matching corresponding emission standards according to the median of the average vehicle ages of similar vehicle types;
identifying flow anomalies based on the vehicle flow through each bayonet and correcting the flow anomalies, comprising:
comparing the vehicle flow of each bayonet with the historical average vehicle flow, and when the vehicle flow exceeds the historical average vehicle flow by a preset proportion, manually consulting a set time period to determine whether construction and limitation exists on a road section of the bayonet; wherein the preset proportion is 60%;
and when no construction and limited time exists, determining that the vehicle flow passing through the bayonet in the set time period is an abnormal value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202311243292.7A CN116994441B (en) | 2023-09-26 | 2023-09-26 | Traffic flow information data processing method and system |
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