CN117523864A - Expressway flow monitoring method based on geomagnetic video data fusion - Google Patents
Expressway flow monitoring method based on geomagnetic video data fusion Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
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- G—PHYSICS
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- 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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Abstract
The application relates to the technical field of traffic flow monitoring and provides a highway flow monitoring method based on geomagnetic video data fusion. The method comprises the following steps: obtaining a highway composition network diagram of a target highway to obtain target monitoring points; installing a sensor group at the target monitoring point; according to a first monitoring time period, sensing data acquisition is carried out on the target monitoring point through the video sensing equipment and the geomagnetic sensor, and a video monitoring data set and a geomagnetic sensing data set are obtained; identifying the traffic flow and the vehicle type according to the video monitoring data set, and obtaining a vehicle flow monitoring result of the target monitoring point; and correcting the vehicle flow monitoring result to obtain a vehicle flow correction result. The method and the device solve the problem that the monitoring result is inaccurate due to single traffic flow monitoring technology in the prior art, achieve the technical effect of improving the accuracy of the traffic flow monitoring result and the expressway service level.
Description
Technical Field
The application relates to the technical field of traffic flow monitoring, in particular to a highway traffic flow monitoring method based on geomagnetic video data fusion.
Background
In the daily operation management process of the expressway, the collection, analysis, processing and prediction of the information of the traffic flow passing through the expressway section are effective traffic flow control means for grasping the state of the road traffic flow, predicting and avoiding possible traffic events, accidents and blocking situations; the vehicle flow data acquisition is generally characterized in that vehicle detectors, microwaves, radars and other devices are arranged along the road to acquire vehicle flow data such as traffic volume counting, vehicle type classification, vehicle speed detection and the like, and the vehicle flow data is uploaded and summarized through a network platform to realize the analysis of the traffic flow of the expressway; however, the data collected by the equipment cannot intuitively collect and classify the information such as the video monitoring image of the past vehicle, license plates, vehicle photos, key vehicle types, vehicle running tracks, whether the vehicle enters and exits from a toll station and the like. With the application of new technology and the development of intelligent expressways, more refined traffic flow analysis and management are the needs of daily operation management of the expressways at present, so that the high-definition video monitoring equipment is combined with the video monitoring technology to integrate data information such as video monitoring images, license plate data, snap pictures of passing vehicles, key vehicle identification and the like into traffic flow analysis, and data support is provided for operation, decision making, value added service and the like.
In summary, the method and the device solve the problem that in the prior art, the monitoring result is inaccurate due to the fact that the traffic flow monitoring technology is single.
Disclosure of Invention
Based on this, it is necessary to provide a highway traffic monitoring method based on geomagnetic video data fusion, which can improve the accuracy of the traffic monitoring result and the highway service level.
In a first aspect, the present application provides a highway traffic monitoring method based on geomagnetic video data fusion, where the method includes: obtaining a highway composition network diagram of a target highway, and planning flow monitoring points on the highway composition network diagram to obtain target monitoring points; installing a sensor group on the target monitoring point, wherein the sensor group comprises video sensing equipment and a geomagnetic sensor; according to a first monitoring time period, sensing data acquisition is carried out on the target monitoring point through the video sensing equipment and the geomagnetic sensor, and a video monitoring data set and a geomagnetic sensing data set are obtained; identifying the traffic flow and the vehicle type according to the video monitoring data set, and obtaining the traffic flow monitoring results of the target monitoring points, wherein the traffic flow monitoring results comprise the traffic monitoring results of different vehicle types; and correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result.
In a second aspect, the present application provides a highway traffic monitoring system based on geomagnetic video data fusion, the system comprising: the target monitoring point obtaining module is used for obtaining a highway composition network diagram of a target highway, planning flow monitoring points of the highway composition network diagram and obtaining target monitoring points; the sensor group installation module is used for installing a sensor group at the target monitoring point, and the sensor group comprises video sensing equipment and a geomagnetic sensor; the sensing data acquisition module is used for acquiring sensing data through the video sensing equipment and the geomagnetic sensor at the target monitoring point according to a first monitoring time period to obtain a video monitoring data set and a geomagnetic sensing data set; the vehicle flow monitoring result obtaining module is used for identifying the vehicle flow and the vehicle type according to the video monitoring data set to obtain the vehicle flow monitoring result of the target monitoring point, wherein the vehicle flow monitoring result comprises flow monitoring results of different vehicle types; and the vehicle flow correction result module is used for correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
firstly, obtaining a highway composition network diagram of a target highway, and planning flow monitoring points on the highway composition network diagram to obtain target monitoring points; next, installing a sensor group at the target monitoring point, wherein the sensor group comprises video sensing equipment and a geomagnetic sensor; secondly, carrying out sensing data acquisition on the target monitoring point through the video sensing equipment and the geomagnetic sensor according to a first monitoring time period to obtain a video monitoring data set and a geomagnetic sensing data set; then, recognizing the traffic flow and the vehicle type according to the video monitoring data set to obtain the traffic flow monitoring results of the target monitoring points, wherein the traffic flow monitoring results comprise the traffic monitoring results of different vehicle types; and finally, correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result. The method and the device solve the problem that the monitoring result is inaccurate due to single traffic flow monitoring technology in the prior art, achieve the technical effect of improving the accuracy of the traffic flow monitoring result and the expressway service level.
The foregoing description is merely an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a flow chart of a highway traffic monitoring method based on geomagnetic video data fusion in one embodiment;
FIG. 2 is a schematic flow chart of obtaining a vehicle flow correction result of a highway flow monitoring method based on geomagnetic video data fusion in an embodiment;
fig. 3 is a block diagram of a highway traffic monitoring system based on geomagnetic video data fusion in one embodiment.
Reference numerals illustrate: the system comprises a target monitoring point obtaining module 11, a sensor group installing module 12, a sensing data acquisition module 13, a vehicle flow monitoring result obtaining module 14 and a vehicle flow correction result module 15.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Having introduced the basic principles of the present application, the technical solutions herein will now be clearly and fully described with reference to the accompanying drawings, it being apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments of the present application, and it is to be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
As shown in fig. 1, the present application provides a highway traffic monitoring method based on geomagnetic video data fusion, where the method includes:
obtaining a highway composition network diagram of a target highway, and planning flow monitoring points on the highway composition network diagram to obtain target monitoring points;
along with the application and development of information technology, the geomagnetic data and video data are mutually complemented and analyzed, and the acquisition, analysis, processing and prediction of the information of the traffic flow passing through the highway section are effective traffic flow control means for grasping the state of the road traffic flow, predicting and avoiding possible traffic incidents, accidents and blocking situations. According to the method, the plurality of sensors are arranged, the data of the target area is monitored and analyzed by the plurality of sensors, the expressway flow monitoring method based on geomagnetic video data fusion is obtained, and the technical effect of intelligent safety management of the expressway is achieved by obtaining the expressway flow monitoring method.
The expressway is a highway specially used for the expressway of the automobile, one of the roads is selected for research, and the expressway is marked as a target expressway; the network diagram is a graphical model shaped like a network and is therefore called a network diagram. The network diagram consists of three factors of operation (arrow line), event (also called node) and route, and the network diagram is a diagram which shows the flow of a certain work by using the arrow line and the node; the traffic monitoring points refer to important positions for converging and diverging traffic, and are marked on the important positions for converging and diverging traffic such as a ramp at a highway exit and a ramp, an important area along a road, a connecting line and a ramp at a traffic splitting area of a vehicle, a vehicle exit and a vehicle entrance of a service area, a vehicle entrance and exit of a toll station and the like according to the characteristics of road conditions of the highway, and the important positions are used as target monitoring points. And planning flow monitoring points on the network map formed by the groups by acquiring a total route map of the target expressway, acquiring target monitoring points, and making a cushion for the subsequent acquisition of vehicle flow data.
Marking the expressway entrance ramp in the highway composition network diagram to obtain a first monitoring point;
marking a ramp of a vehicle shunting area in the road composition network diagram to obtain a second monitoring point;
marking a vehicle convergence zone in the road composition network diagram to obtain a third monitoring point;
and forming the target monitoring point by the first monitoring point, the second monitoring point and the third monitoring point.
The ramp is also called an approach, and a road section of the junction between the overpass and the upper and lower roads also refers to a road section of the expressway connected with an adjacent auxiliary road; inlet and outlet ramps: the auxiliary connection road section of the entrance and exit main trunk line can be a 'level crossing ramp', or an 'overpass ramp', which is the main traffic construction forming a road traffic channel, and marks the entrance and exit ramp of the expressway to obtain a first monitoring point; the ramp of the vehicle diversion area refers to the behavior that the traffic flow of one lane is divided into two directions to run, which is called diversion, and is usually arranged at the entrance of a plane intersection or the exit of a high-speed (overhead) road ramp to be used as a second monitoring point; the vehicle convergence area is an area where vehicles meet densely in the road composition network diagram and serves as a third monitoring point, and the target monitoring point is formed by the first monitoring point, the second monitoring point and the third monitoring point. And data support is made for subsequent traffic monitoring by acquiring the target monitoring points.
Calling a historical traffic flow monitoring video set of the target expressway;
vehicle type marking is carried out on vehicles in the historical traffic flow monitoring video set, and a historical classification result set is obtained;
based on semantic segmentation, constructing an encoder and a decoder in a vehicle identification channel;
training the encoder and the decoder by adopting the historical traffic monitoring video set and the historical classification result set to obtain the vehicle identification channel;
based on the vehicle identification channel, identifying the vehicle flow and the vehicle type of video monitoring data of any monitoring point in the video monitoring data set, and obtaining a monitoring point vehicle flow monitoring result set;
and carrying out fusion analysis on the vehicle flow monitoring result set to generate the vehicle flow monitoring result.
The historical traffic flow monitoring video set refers to a traffic flow monitoring video set of the target expressway in the past time period, and is obtained through past monitoring video; the vehicle type marking means that marking and identifying the vehicle types in the historical vehicle flow detection video set, for example, classifying the vehicle types of buses, trucks, other vehicles and the like according to the identification result, marking, and obtaining a historical classification result set; semantic segmentation is an important direction in computer vision, and is different from target detection and recognition, and the semantic segmentation realizes classification of image pixel levels, so that a picture or video (the video is actually a picture when extracted in frames) can be divided into a plurality of blocks according to different types; the vehicle recognition channel is to build a model, output the traffic flow and the model recognition of the monitoring point by inputting the video monitoring data of any monitoring point in the video monitoring data set, the Encoder-Decoder (Encoder-Decoder) is an abstract concept of a deep learning model, the Encoder is responsible for representing Input (Input), the Decoder is responsible for outputting (Target), the Encoder and the Decoder in the vehicle recognition channel are trained according to the historical traffic flow monitoring video set and the historical classification result set, the historical traffic flow monitoring video set and the historical classification result set are divided into a sample training set and a sample verification set according to a preset data division rule, and the preset data division proportion can be set by a person skilled in the art in a user-defined manner based on actual conditions, for example: 85%, 15%. The vehicle recognition channel is supervised and trained through the sample training set, when the model output result tends to be in a convergence state, the accuracy of the output result of the vehicle recognition channel is verified through the sample verification set, a preset verification accuracy index is obtained, and a person skilled in the art can customize setting based on actual conditions, for example: 95%. And when the accuracy of the output result of the vehicle identification channel is greater than or equal to the preset verification accuracy index, obtaining the vehicle identification channel. And carrying out fusion analysis on the vehicle flow monitoring result set to generate the vehicle flow monitoring result. And (3) by acquiring the traffic flow monitoring result, paving a road for the subsequent highway flow monitoring by combining the geomagnetic sensor.
Extracting first vehicle flow monitoring results, second vehicle flow monitoring results and third vehicle flow monitoring results of the first monitoring point, the second monitoring point and the third monitoring point according to the monitoring point vehicle flow monitoring result set;
performing vehicle diversion analysis according to the first vehicle flow monitoring result and the second vehicle flow monitoring result to obtain vehicle diversion data;
performing vehicle convergence analysis according to the first vehicle flow monitoring result and the third vehicle flow monitoring result to obtain vehicle convergence data;
and generating the vehicle flow monitoring result according to the vehicle diversion data and the vehicle convergence data.
The vehicle diversion analysis refers to analyzing the traffic behavior of the traffic flow of one lane on the expressway in two directions; the vehicle convergence analysis refers to analyzing the traffic behavior of converging the traffic flows of two lanes on the expressway to one lane; firstly, extracting first vehicle flow monitoring results, second vehicle flow monitoring results and third vehicle flow monitoring results of the first monitoring point, the second monitoring point and the third monitoring point according to the monitoring point vehicle flow monitoring result set; secondly, acquiring the vehicle shunting data and the vehicle convergence data; and generating the vehicle flow monitoring result according to the vehicle diversion data and the vehicle convergence data. And by acquiring the traffic flow monitoring result, support is provided for subsequent analysis and discussion.
Installing a sensor group on the target monitoring point, wherein the sensor group comprises video sensing equipment and a geomagnetic sensor;
the sensor is a detection device, can sense the measured information, can convert the sensed information into an electric signal or other information output in a required form according to a certain rule so as to meet the requirements of information transmission, processing, storage, display, recording, control and the like, and the sensor group is formed by combining a plurality of sensors; the video sensing device refers to a sensing device such as a camera for acquiring video information; geomagnetic sensors are essentially a type of sensor that is used to measure the earth's magnetic field. The magnetic field detector can detect the intensity, direction and inclination angle of the earth magnetic field, and is commonly used in the fields of navigation, geological exploration, magnetic separation and the like; and installing a sensor group at the target monitoring point to make a cushion for the subsequent geomagnetic video data fusion.
According to a first monitoring time period, sensing data acquisition is carried out on the target monitoring point through the video sensing equipment and the geomagnetic sensor, and a video monitoring data set and a geomagnetic sensing data set are obtained;
the first monitoring time period is a certain time period selected by a worker, sensing data acquisition is carried out on the target monitoring point through the video sensing equipment and the geomagnetic sensor according to the first monitoring time period, and the sensing data are respectively combined to obtain a video monitoring data set and a geomagnetic sensing data set. The video monitoring data set and the geomagnetic sensing data set are acquired, so that support is provided for subsequent expressway traffic flow monitoring.
Identifying the traffic flow and the vehicle type according to the video monitoring data set, and obtaining the traffic flow monitoring results of the target monitoring points, wherein the traffic flow monitoring results comprise the traffic monitoring results of different vehicle types;
the traffic flow is the number of vehicles passing through a certain road point in a certain time by taking the vehicles passing through a certain road section in a unit time as the standard; and identifying the traffic flow and the vehicle type through the video monitoring data set, and acquiring the traffic flow monitoring results of the target monitoring points, wherein the traffic flow monitoring results comprise traffic monitoring results of different vehicle types, namely, the number of different vehicle types in the traffic flow. And (3) making a data pad for the subsequent geomagnetic video data fusion by acquiring a vehicle flow monitoring result of the target monitoring point.
And correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result.
Since the video monitoring data set may be inaccurate, for example, the vehicle flow monitoring result is inaccurate due to vehicle shielding, lens shielding, etc., the geomagnetic sensing data set is required to be used for correcting the vehicle flow monitoring result to obtain a vehicle flow correction result, and the vehicle flow correction result is that the geomagnetic sensing data set is used for correcting the vehicle flow monitoring result if the difference between the vehicle flow monitoring result and the geomagnetic sensing data set is large and the difference between the vehicle flow monitoring result and the geomagnetic sensing data set is large. Through mutual calibration of two different sensors, accuracy is improved.
As shown in fig. 2, vehicle flow monitoring is performed on the target monitoring points according to the geomagnetic sensing data set, and a first passing vehicle number of the target monitoring points is obtained;
summarizing passing vehicles at the target monitoring points according to the vehicle flow monitoring results to obtain the number of second passing vehicles;
calculating monitoring deviation of the first passing vehicle number and the second passing vehicle number;
and correcting the vehicle flow monitoring result based on the monitoring deviation to obtain the vehicle flow correction result.
The first passing vehicle quantity is obtained by monitoring the vehicle flow of the target monitoring point through a geomagnetic sensing data set, and the accuracy is high; the second passing vehicle number is obtained by summarizing passing vehicles at the target monitoring points according to the vehicle flow monitoring results, the accuracy is low due to video shielding, calculation is performed according to the difference between the first passing vehicle number and the second passing vehicle number, and the vehicle flow monitoring results are corrected according to the monitoring deviation to obtain the vehicle flow correction results. And the two sensors are mutually verified to correct the vehicle flow monitoring result, so that the accuracy of the vehicle flow monitoring result is improved.
According to the vehicle flow monitoring result, carrying out flow ratio periodic analysis of different vehicle types on the target expressway to obtain a plurality of vehicle flow ratio periodic data corresponding to a plurality of vehicle types;
according to the traffic flow duty cycle data, vehicle gate guarantee resource analysis is carried out, and a gate resource cycle configuration result is obtained;
and carrying out guaranteed resource allocation on the target expressway according to the gate resource period allocation result.
The periodic analysis of the flow rates of different vehicle types means that the duty ratio of the types of different vehicles in the target expressway, for example, the duty ratio of a large truck is far higher than that of a passenger car at night; the vehicle flow monitoring result can be used for acquiring a plurality of vehicle flow duty cycle data corresponding to a plurality of vehicle types; and carrying out statistical analysis on the duty ratio of the passenger and truck according to various analysis and judgment conditions preset in an information system by utilizing the vehicle flow monitoring result to form data indexes such as data reports, graphs and the like of the duty ratio of the passenger and truck in time intervals, days, ten days, years and the like, carrying out resource distribution on the expressway gate through the vehicle flow analysis on the expressway gate, so that an expressway operation management mechanism comprehensively grasps the passenger and cargo flow in the road operation process, assists in accounting the traffic cost and evaluating the road transportation capacity, and is convenient for a manager to allocate different types of guarantee resources in different types of vehicle traffic dense time. The method and the device solve the problem that the monitoring result is inaccurate due to single traffic flow monitoring technology in the prior art, achieve the technical effect of improving the accuracy of the traffic flow monitoring result and the expressway service level.
As shown in fig. 3, the present application provides a highway traffic monitoring system based on geomagnetic video data fusion, the system comprising: the target monitoring point obtaining module is used for obtaining a highway composition network diagram of a target highway, planning flow monitoring points of the highway composition network diagram and obtaining target monitoring points;
the sensor group installation module is used for installing a sensor group at the target monitoring point, and the sensor group comprises video sensing equipment and a geomagnetic sensor;
the sensing data acquisition module is used for acquiring sensing data through the video sensing equipment and the geomagnetic sensor at the target monitoring point according to a first monitoring time period to obtain a video monitoring data set and a geomagnetic sensing data set;
the vehicle flow monitoring result obtaining module is used for identifying the vehicle flow and the vehicle type according to the video monitoring data set to obtain the vehicle flow monitoring result of the target monitoring point, wherein the vehicle flow monitoring result comprises flow monitoring results of different vehicle types;
and the vehicle flow correction result module is used for correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result.
Further, the embodiment of the application further comprises:
the expressway import and export marking module is used for marking expressway import and export ramps in the highway composition network diagram to obtain a first monitoring point;
the vehicle shunting area marking module is used for marking the ramp of the vehicle shunting area in the road composition network diagram to obtain a second monitoring point;
the vehicle convergence zone marking module is used for marking the vehicle convergence zone in the road composition network diagram to obtain a third monitoring point;
the target monitoring point forming module is used for forming the target monitoring point by the first monitoring point, the second monitoring point and the third monitoring point.
Further, the embodiment of the application further comprises:
the historical traffic flow monitoring video set calling module is used for calling the historical traffic flow monitoring video set of the target expressway;
the historical classification result set obtaining module is used for marking the vehicle types of the vehicles in the historical traffic flow monitoring video set to obtain a historical classification result set;
the vehicle identification channel construction module is used for constructing an encoder and a decoder in the vehicle identification channel based on semantic segmentation;
the vehicle identification channel acquisition module is used for training the encoder and the decoder by adopting the historical traffic flow monitoring video set and the historical classification result set to acquire the vehicle identification channel;
the vehicle flow monitoring result set acquisition module is used for identifying the vehicle flow and the vehicle type of video monitoring data of any monitoring point in the video monitoring data set based on the vehicle identification channel to obtain a monitoring point vehicle flow monitoring result set;
and the vehicle flow monitoring result generation module is used for carrying out fusion analysis on the vehicle flow monitoring result set to generate the vehicle flow monitoring result.
Further, the embodiment of the application further comprises:
the monitoring point traffic flow monitoring result extraction module is used for extracting first, second and third vehicle flow monitoring results of the first, second and third monitoring points according to the monitoring point traffic flow monitoring result set;
the vehicle diversion data acquisition module is used for carrying out vehicle diversion analysis according to the first vehicle flow monitoring result and the second vehicle flow monitoring result to obtain vehicle diversion data;
the vehicle convergence data acquisition module is used for carrying out vehicle convergence analysis according to the first vehicle flow monitoring result and the third vehicle flow monitoring result to obtain vehicle convergence data;
and the vehicle flow monitoring result generation module is used for generating the vehicle flow monitoring result according to the vehicle diversion data and the vehicle convergence data.
Further, the embodiment of the application further comprises:
the passing vehicle data acquisition module is used for monitoring the vehicle flow of the target monitoring point according to the geomagnetic sensing data set to obtain a first passing vehicle number of the target monitoring point;
the traffic vehicle summarizing module is used for summarizing traffic vehicles of the target monitoring points according to the vehicle flow monitoring results to obtain the number of second traffic vehicles;
the monitoring deviation calculation module is used for calculating the monitoring deviation of the first passing vehicle number and the second passing vehicle number;
and the vehicle flow monitoring result correction module is used for correcting the vehicle flow monitoring result based on the monitoring deviation to obtain the vehicle flow correction result.
Further, the embodiment of the application further comprises:
the traffic flow duty cycle data acquisition module is used for periodically analyzing the traffic flow duty cycles of different vehicle types of the target expressway according to the traffic flow monitoring result to acquire a plurality of traffic flow duty cycle data corresponding to a plurality of vehicle types;
the gate resource period configuration result obtaining module is used for carrying out vehicle gate guarantee resource analysis according to the traffic flow duty cycle data to obtain a gate resource period configuration result;
and the guarantee resource allocation proceeding module is used for carrying out the guarantee resource allocation on the target expressway according to the gate resource period allocation result.
The implementation of a highway traffic monitoring system based on geomagnetic video data fusion is related. An embodiment of a highway traffic monitoring method based on geomagnetic video data fusion is not described herein. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above 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 merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (7)
1. The highway flow monitoring method based on geomagnetic video data fusion is characterized by comprising the following steps of:
obtaining a highway composition network diagram of a target highway, and planning flow monitoring points on the highway composition network diagram to obtain target monitoring points;
installing a sensor group on the target monitoring point, wherein the sensor group comprises video sensing equipment and a geomagnetic sensor;
according to a first monitoring time period, sensing data acquisition is carried out on the target monitoring point through the video sensing equipment and the geomagnetic sensor, and a video monitoring data set and a geomagnetic sensing data set are obtained;
identifying the traffic flow and the vehicle type according to the video monitoring data set, and obtaining the traffic flow monitoring results of the target monitoring points, wherein the traffic flow monitoring results comprise the traffic monitoring results of different vehicle types;
and correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result.
2. The method of claim 1, wherein the planning the traffic monitoring points for the road composition network graph to obtain target monitoring points comprises:
marking the expressway entrance ramp in the highway composition network diagram to obtain a first monitoring point;
marking a ramp of a vehicle shunting area in the road composition network diagram to obtain a second monitoring point;
marking a vehicle convergence zone in the road composition network diagram to obtain a third monitoring point;
and forming the target monitoring point by the first monitoring point, the second monitoring point and the third monitoring point.
3. The method of claim 2, wherein the identifying the vehicle flow and the vehicle type according to the video monitoring data set, and obtaining the vehicle flow monitoring result of the target monitoring point, where the vehicle flow monitoring result includes flow monitoring results of different vehicle types, includes:
calling a historical traffic flow monitoring video set of the target expressway;
vehicle type marking is carried out on vehicles in the historical traffic flow monitoring video set, and a historical classification result set is obtained;
based on semantic segmentation, constructing an encoder and a decoder in a vehicle identification channel;
training the encoder and the decoder by adopting the historical traffic monitoring video set and the historical classification result set to obtain the vehicle identification channel;
based on the vehicle identification channel, identifying the vehicle flow and the vehicle type of video monitoring data of any monitoring point in the video monitoring data set, and obtaining a monitoring point vehicle flow monitoring result set;
and carrying out fusion analysis on the vehicle flow monitoring result set to generate the vehicle flow monitoring result.
4. The method of claim 3, wherein the performing fusion analysis on the set of vehicle flow monitoring results to generate the vehicle flow monitoring results comprises:
extracting first vehicle flow monitoring results, second vehicle flow monitoring results and third vehicle flow monitoring results of the first monitoring point, the second monitoring point and the third monitoring point according to the monitoring point vehicle flow monitoring result set;
performing vehicle diversion analysis according to the first vehicle flow monitoring result and the second vehicle flow monitoring result to obtain vehicle diversion data;
performing vehicle convergence analysis according to the first vehicle flow monitoring result and the third vehicle flow monitoring result to obtain vehicle convergence data;
and generating the vehicle flow monitoring result according to the vehicle diversion data and the vehicle convergence data.
5. The method of claim 1, wherein correcting the vehicle flow monitoring results in combination with the geomagnetic sensing data set to obtain vehicle flow correction results comprises:
the vehicle flow monitoring is carried out on the target monitoring points according to the geomagnetic sensing data set, and the first passing vehicle quantity of the target monitoring points is obtained;
summarizing passing vehicles at the target monitoring points according to the vehicle flow monitoring results to obtain the number of second passing vehicles;
calculating monitoring deviation of the first passing vehicle number and the second passing vehicle number;
and correcting the vehicle flow monitoring result based on the monitoring deviation to obtain the vehicle flow correction result.
6. The method of claim 1, wherein the method further comprises:
according to the vehicle flow monitoring result, carrying out flow ratio periodic analysis of different vehicle types on the target expressway to obtain a plurality of vehicle flow ratio periodic data corresponding to a plurality of vehicle types;
according to the traffic flow duty cycle data, vehicle gate guarantee resource analysis is carried out, and a gate resource cycle configuration result is obtained;
and carrying out guaranteed resource allocation on the target expressway according to the gate resource period allocation result.
7. A highway traffic monitoring system based on geomagnetic video data fusion, the system comprising:
the target monitoring point obtaining module is used for obtaining a highway composition network diagram of a target highway, planning flow monitoring points of the highway composition network diagram and obtaining target monitoring points;
the sensor group installation module is used for installing a sensor group at the target monitoring point, and the sensor group comprises video sensing equipment and a geomagnetic sensor;
the sensing data acquisition module is used for acquiring sensing data through the video sensing equipment and the geomagnetic sensor at the target monitoring point according to a first monitoring time period to obtain a video monitoring data set and a geomagnetic sensing data set;
the vehicle flow monitoring result obtaining module is used for identifying the vehicle flow and the vehicle type according to the video monitoring data set to obtain the vehicle flow monitoring result of the target monitoring point, wherein the vehicle flow monitoring result comprises flow monitoring results of different vehicle types;
and the vehicle flow correction result module is used for correcting the vehicle flow monitoring result by combining the geomagnetic sensing data set to obtain a vehicle flow correction result.
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