CN111489545B

CN111489545B - Road monitoring method, device and equipment and storage medium

Info

Publication number: CN111489545B
Application number: CN201910081387.0A
Authority: CN
Inventors: 贺亚静
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2019-01-28
Filing date: 2019-01-28
Publication date: 2023-03-31
Anticipated expiration: 2039-01-28
Also published as: CN111489545A

Abstract

The embodiment of the application provides a road monitoring method, a road monitoring device, road monitoring equipment and a storage medium, wherein the method comprises the following steps: monitoring traffic flow passing through a first monitoring position to obtain first monitoring data; monitoring the traffic flow passing through the second monitoring position to obtain second monitoring data; and if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state. The technical scheme provided by the embodiment of the application improves the road monitoring efficiency and accuracy.

Description

Road monitoring method, device and equipment and storage medium

Technical Field

The embodiment of the application relates to the technical field of intelligent traffic application, in particular to a road monitoring method, a road monitoring device, road monitoring equipment and a storage medium.

Background

In order to solve the problems of remote travel, product transportation and the like, the expressway develops rapidly. In order to guarantee smooth operation of the highway, the operation condition of the highway can be monitored by means of scientific and technological means such as cloud computing and mode recognition, so that rapid confirmation and treatment of traffic accidents and the like are achieved, and the passing efficiency of the highway is improved.

In the prior art, a camera is mainly arranged at a certain monitoring position, a background server side obtains monitoring data shot by the camera, for example, a vehicle running video at the monitoring point, and background personnel watch the monitoring data on a display screen to judge whether traffic accidents, traffic jams and other traffic conditions occur at the monitoring point. And then, the information such as the position of the monitoring point with the problem and the like can be reported to the command center, and the traffic condition of the monitoring point is processed by the command center.

However, the workload of background personnel is increased by adopting a manual monitoring mode, monitoring errors are easy to occur, and in addition, the efficiency is lower due to the adoption of the manual reporting mode. Therefore, the monitoring efficiency and the monitoring accuracy of the existing monitoring mode are not high.

Disclosure of Invention

The embodiment of the application provides a road monitoring method, a road monitoring device, road monitoring equipment and a storage medium, which are used for solving the technical problems of low road monitoring efficiency and low road monitoring accuracy in the prior art.

In a first aspect, an embodiment of the present application provides a road monitoring method, including:

monitoring traffic flow passing through a first monitoring position to obtain first monitoring data;

monitoring the traffic flow passing through the second monitoring position to obtain second monitoring data;

and if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in abnormal operation states.

In a second aspect, an embodiment of the present application provides a road monitoring method, including:

determining at least two monitoring positions corresponding to a target road section;

monitoring the traffic flow passing through each monitoring position to obtain monitoring data corresponding to each monitoring position;

determining the traffic running state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions

In a third aspect, an embodiment of the present application provides a road monitoring device, including:

the first acquisition module is used for monitoring the traffic flow passing through the first monitoring position to acquire first monitoring data;

the second obtaining module is used for monitoring the traffic flow passing through a second monitoring position to obtain second monitoring data;

the first determining module is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the first monitoring data and the second monitoring data meet abnormal monitoring conditions.

In a fourth aspect, an embodiment of the present application provides a road monitoring device, including: the position determining module is used for determining at least two monitoring positions corresponding to the target road section;

the traffic flow monitoring module monitors traffic flow passing through each monitoring position and acquires monitoring data corresponding to each monitoring position;

and the state determining module is used for determining the traffic running state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions.

In a fifth aspect, an embodiment of the present application provides a road monitoring device, including: the storage component stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component;

the processing component is to:

monitoring traffic flow passing through a first monitoring position to obtain first monitoring data; monitoring traffic flow passing through a second monitoring position to obtain second monitoring data; and if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in abnormal operation states.

In a sixth aspect, an embodiment of the present application provides a road monitoring device, including: the storage component stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component;

the processing component is to:

determining at least two monitoring positions corresponding to a target road section; monitoring the traffic flow passing through each monitoring position to obtain monitoring data corresponding to each monitoring position; and determining the traffic operation state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions.

In the embodiment of the application, for the first monitoring position and the second monitoring position, the first monitoring data of the first monitoring position and the traffic flow passing through the second monitoring position can be obtained by monitoring the traffic flow passing through the first monitoring position, the second monitoring data of the second monitoring position can be obtained, whether the first monitoring data and the second monitoring data meet the abnormal monitoring condition or not is used for realizing the automatic monitoring of the corresponding monitoring road sections of the first monitoring position and the second monitoring position, and the abnormal traffic is discovered in time, so that the monitoring efficiency and the monitoring accuracy are improved.

These and other aspects of the present application will be more readily apparent from the following description of the embodiments.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a flow chart illustrating one embodiment of a road monitoring method provided herein;

FIG. 2 is a flow chart illustrating a further embodiment of a road monitoring method provided by the present application;

FIG. 3 is a flow chart illustrating a further embodiment of a road monitoring method provided by the present application;

FIG. 4 illustrates a flow chart of yet another embodiment of a road monitoring method provided herein;

FIG. 5 is a flow chart illustrating a further embodiment of a road monitoring method provided herein;

FIG. 6 is a flow chart illustrating a further embodiment of a road monitoring method provided herein;

FIG. 7 is a schematic diagram illustrating an embodiment of a road monitoring device provided herein;

FIG. 8 is a schematic diagram illustrating an embodiment of a road monitoring device provided herein;

FIG. 9 is a schematic diagram illustrating an embodiment of a road monitoring device provided herein;

fig. 10 is a schematic structural diagram of an embodiment of a road monitoring device provided by the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

In some of the flows described in the specification and claims of this application and in the above-described figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, the number of operations, e.g., 101, 102, etc., merely being used to distinguish between different operations, and the number itself does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The embodiment of the invention is mainly applied to a road monitoring scene, and can automatically monitor a certain target road section and timely acquire the traffic operation condition of the target road section.

In the prior art, a camera is mainly arranged at a certain monitoring position of a target road, video shooting is carried out in an area within the coverage range of the camera, and the video is manually checked to find whether traffic accidents, traffic jams and other traffic conditions occur in the target road section. And then, reporting the position with the problem to a command center in a manual mode, and processing the traffic condition of the monitoring point by the command center. However, this monitoring method requires a lot of manpower, and due to the manual searching method, the efficiency is low and the accuracy is not high, so that the abnormal events on the traffic road section cannot be found and processed in time.

In order to solve the above problems, the inventor thinks whether the target road section can be automatically monitored, but if the target road section is monitored by a camera, in order to clarify the monitoring content, the target road section needs to be monitored at the monitoring position, a vehicle passing through the monitoring position can be accurately obtained in a monitoring position monitoring manner, and then an accurate monitoring result is obtained. In the monitoring process of the monitoring position, in order to acquire accurate monitoring data, monitoring data needs to be acquired according to certain vehicle monitoring parameters from the monitoring content of the monitoring position, so that diverse data of the monitoring position can be acquired, and the monitoring efficiency and the monitoring accuracy of the target road section can be improved.

Therefore, the inventor provides the technical scheme of the application, for the first monitoring position and the second monitoring position, the first monitoring data of the first monitoring position and the traffic flow passing through the second monitoring position can be obtained by monitoring the traffic flow passing through the first monitoring position, the second monitoring data of the second monitoring position can be obtained, whether the first monitoring data and the second monitoring data meet the abnormal monitoring condition or not is used for realizing the automatic monitoring of the corresponding monitoring road sections of the first monitoring position and the second monitoring position, the abnormal traffic is discovered in time, and the monitoring efficiency and the monitoring accuracy are improved.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

As shown in fig. 1, a flowchart of an embodiment of a road monitoring method according to an embodiment of the present invention is provided, where the method includes the following steps:

101: and determining at least two monitoring positions corresponding to the target road section.

102: and monitoring the traffic flow passing through each monitoring position to obtain the monitoring data corresponding to each monitoring position.

103: and determining the traffic running state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions.

The embodiment of the invention can be applied to a road monitoring scene, and the traffic running state of the target road section can be obtained by monitoring at least two monitoring positions in the target road.

The target road section can refer to a road section to be monitored, at least two monitoring positions can be arranged on each target road section, monitoring equipment is arranged on each monitoring position, the monitoring equipment can collect monitoring data of a road cross section at the corresponding monitoring position, the monitoring data corresponding to the monitoring positions are obtained, and the traffic operation state of the target road section is determined through the monitoring data respectively corresponding to the at least two monitoring positions.

In the embodiment of the invention, the monitoring data of at least two monitoring positions in the target road section can be monitored so as to realize automatic monitoring of the target road section. The monitoring data corresponding to the at least two monitoring positions can be acquired in the monitoring process, the traffic operation condition of the target road section can be further determined, the traffic operation condition of the target road section can be obtained by processing the monitoring data corresponding to the at least two monitoring positions, the automatic monitoring of the traffic condition of the target road section is realized, the traffic abnormity is discovered in time, and the monitoring efficiency and the monitoring accuracy are improved.

As an embodiment, the monitoring traffic flow passing through each monitoring location, and obtaining the monitoring data corresponding to each monitoring location may include:

and monitoring the traffic flow passing through the road cross section of each of the at least two monitoring positions to obtain monitoring data corresponding to each of the at least two monitoring positions.

The road cross section may refer to a normal section of any point on the center line of the target road section, that is, a cross-sectional view perpendicular to the center line direction of the target road section. The cross section of the road at the monitoring position is a normal tangent plane of a point corresponding to the monitoring position on the center line of the target road section.

The monitoring position can correspond to a transverse section of the target road section, and the traffic flow of the road cross section corresponding to the monitoring position can be monitored to obtain the monitoring data of the road cross section corresponding to the monitoring position. The monitoring data may specifically refer to traffic flow passing data of a road cross section corresponding to each monitoring position, for example, a traffic volume characteristic of a vehicle passing through the monitoring position, a vehicle speed, an occupancy of a passing vehicle on a target road segment, and the like.

The monitoring data of at least two monitoring positions in the target road section can be collected by the monitoring equipment, the monitoring equipment can send the monitoring data to the server side or the road monitoring equipment, and the server side or the road monitoring equipment analyzes and processes the monitoring data of at least two monitoring positions to obtain the traffic running state of the target road section corresponding to at least the monitoring positions.

As a possible implementation manner, the monitoring device may include a camera, a navigation device, an electronic device such as a mobile phone, a notebook, etc. installed with navigation software. The monitoring data can be vehicle characteristic data of vehicles corresponding to cross-road sections through any monitoring position and/or parameter data of at least one traffic flow state parameter. The monitoring equipment such as the camera can shoot the vehicle passing through any monitoring position to obtain monitoring data such as a vehicle image and the like of the monitoring position. The vehicle number in the vehicle image or the vehicle characteristic marked by the vehicle in a data form can be identified through algorithms such as image identification, characteristic identification and the like, and then the vehicle characteristic data of the vehicle is obtained. The electronic equipment such as a mobile phone and a notebook computer, which is provided with navigation software, can report data such as vehicle position, vehicle speed and the like to the server, and further determine parameter data of at least one traffic flow state parameter of the vehicle so as to acquire the actual running condition of the vehicle at any time.

As yet another possible implementation, the monitoring device may include a flow monitoring device, a vehicle detection device, or the like. The monitoring device can detect at least two monitoring positions in the target road to obtain monitoring data corresponding to the at least two monitoring positions respectively. The monitoring device may send the monitoring data corresponding to the at least two monitoring positions to the server or the road monitoring device.

The traffic operation state may include a normal operation state and an abnormal operation state. In a normal operation state, the server or the monitoring device can continuously monitor the target road section without any prompt. In the abnormal operation state, the server or the monitoring device may output abnormal prompt information for the target road segment to prompt the target road segment in the abnormal operation state.

Therefore, as a further embodiment, after determining the traffic operation state of the target road segment according to the vehicle traffic data corresponding to the at least two monitoring positions, the method further comprises:

and outputting prompt information of the traffic running state of the target road section.

As shown in fig. 2, which is a flowchart of another embodiment of the road monitoring method provided in the embodiment of the present invention, the method includes the following steps:

201: and determining at least two monitoring positions corresponding to the target road section.

202: and monitoring the traffic flow passing through each monitoring position to obtain the monitoring data corresponding to each monitoring position.

Wherein, can monitor the vehicle that passes through the corresponding cross section in each said control position, obtain at least two control data. Monitoring the traffic flow through each monitoring location may refer to monitoring the traffic flow status and vehicle characteristics for the traffic flow through the monitoring location.

203: and determining the monitoring road sections corresponding to any two adjacent monitoring positions in the at least two monitoring positions to obtain at least one monitoring road section.

Any two adjacent monitoring positions can correspond to one monitoring road section.

204: and determining the traffic running state of the monitored road section according to the monitoring data respectively corresponding to two adjacent monitoring positions of any monitored road section.

The traffic running state of each monitoring road section comprises a normal running state or an abnormal running state.

205: and determining the traffic operation state of the target road section according to the respective traffic operation state of at least one monitoring road section.

In the embodiment of the invention, for at least two monitoring positions corresponding to the target road section, the traffic flow passing through each monitoring position can be monitored, and the monitoring data corresponding to each monitoring position is obtained. For any monitoring road section corresponding to any two adjacent monitoring positions in the at least two monitoring positions, at least one monitoring road section is obtained, namely, the target road section is divided into at least one monitoring road section according to the monitoring positions, for any monitoring road section, the traffic running state of the monitoring road section can be determined according to the monitoring data respectively corresponding to the two adjacent monitoring positions, the traffic running state of the target road section is determined according to the respective running state of the at least one monitoring road section, and the monitoring of the target road section is switched to the monitoring aiming at different monitoring road sections, so that an accurate monitoring result is obtained.

As shown in fig. 3, which is a flowchart of another embodiment of a road monitoring method provided in the embodiment of the present invention, the method includes the following steps:

301: and determining at least two monitoring positions corresponding to the target road section.

302: and monitoring the traffic flow passing through each monitoring position to obtain the monitoring data corresponding to each monitoring position.

303: and determining the monitoring road sections corresponding to any two adjacent monitoring positions in the at least two monitoring positions to obtain at least one monitoring road section.

304: and determining the traffic running state of the monitored road section according to the monitoring data respectively corresponding to two adjacent monitoring positions of any monitored road section.

305: and if each monitored road section is in a normal operation state, determining that the target road section is in a normal operation state.

And if each monitored road section is in the normal operation state, indicating that the target road section is in the normal operation state.

306: and if any monitoring road section is in an abnormal operation state, determining that the target road section is in the abnormal operation state.

In the embodiment of the invention, the target road section is divided into at least one monitoring road section, if each monitoring road section is in a normal operation state, the target road section is in a normal operation state, and if any monitoring road section is in an abnormal operation state, the target road section is in an abnormal operation state. And monitoring the target road section in sections to quickly determine the abnormal monitored road section, so that the condition that the monitoring is not accurate enough due to the overlong monitored road section is avoided.

In order to obtain a monitoring result of each monitored road segment, as an embodiment, the determining the traffic operation state of the monitored road segment according to the monitoring data respectively corresponding to two adjacent monitoring positions of any one monitored road segment includes:

determining two adjacent monitoring positions of any monitoring road section as a first monitoring position and a second monitoring position respectively;

determining first monitoring data corresponding to the first monitoring position and second monitoring data corresponding to the second monitoring position;

The determination method of the traffic operation state of the monitored road section is the same as the traffic operation method of the monitored road section in the embodiment shown in fig. 4 to 5, and is not described herein again.

As shown in fig. 4, a flow chart of another embodiment of a road monitoring method provided in the embodiment of the present invention may include the following steps:

401: and monitoring the traffic flow passing through the first monitoring position to obtain first monitoring data.

Optionally, monitoring the traffic flow passing through the first monitoring location, and obtaining the first monitoring data may include: and monitoring vehicles passing through the road cross section corresponding to the first monitoring position to obtain first monitoring data.

402: and monitoring the traffic flow passing through the second monitoring position to obtain second monitoring data.

Optionally, monitoring traffic flow through the second monitoring location, and obtaining the second monitoring data may include: and monitoring vehicles passing through the road cross section corresponding to the second monitoring position to obtain second monitoring data.

Before monitoring the traffic flow passing through the first monitoring position and obtaining the first monitoring data, the method may further include: and determining a first monitoring position and a second monitoring position.

The first monitoring location and the second monitoring location may refer to any two adjacent monitoring locations in the target road segment. At least two monitoring positions can be arranged in the target road section to monitor different positions of the target road section respectively, so that at least one monitoring road section is formed, and segmented monitoring of the target road section is realized.

The first monitoring position and the second monitoring position may actually be positions at both ends of any monitoring road segment, so as to monitor the monitoring road segment.

403: and if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in abnormal operation states.

The traffic operation state of the monitored section may include an abnormal operation state as well as a normal operation state.

For the first monitoring position and the second monitoring position, the first monitoring data of the first monitoring position can be obtained by monitoring the traffic flow passing through the first monitoring position, the second monitoring data of the second monitoring position can be obtained by monitoring the traffic flow passing through the second monitoring position, the automatic monitoring of the corresponding monitoring road sections of the first monitoring position and the second monitoring position is realized by judging whether the first monitoring data and the second monitoring data meet the abnormal monitoring condition, the abnormal traffic is discovered in time, and the monitoring efficiency and the monitoring accuracy are improved.

The first monitoring data and the second monitoring data satisfying the abnormal monitoring condition may indicate that a large data difference exists between the first monitoring data and the second monitoring data, for example, for the same monitoring parameter, a data difference value between a value of the monitoring parameter in the first monitoring data and a value of the monitoring parameter in the second monitoring data is large. If the data difference between the first monitoring data and the second monitoring data is large, the abnormal traffic flow driving conditions of the two monitoring positions can be determined, so that the abnormal monitoring road sections corresponding to the two monitoring positions can be determined.

The traffic flow of the first monitoring position is monitored, and in the process of obtaining the first monitoring data, the first acquisition time of the first monitoring data can be recorded. And monitoring the traffic flow of the second monitoring position, and recording second acquisition time of the second monitoring data in the process of acquiring the second monitoring data.

When judging whether the first monitoring data and the second monitoring data meet the abnormal monitoring condition, two groups of first monitoring data and second monitoring data which are matched in time can be used for comparing to obtain an accurate comparison result.

As a possible implementation manner, when monitoring the running state of the traffic flow, a first acquisition time of the first monitoring data and a second acquisition time of the second monitoring data may be recorded, and whether the first monitoring data and the second monitoring data satisfy the abnormal monitoring condition may mean that the first monitoring data and the second monitoring data satisfy the abnormal monitoring condition when the first acquisition time is the same as the second acquisition time.

As another possible implementation manner, when performing feature monitoring on a vehicle, a first collection time of first monitoring data and a second collection time of second monitoring data may be recorded, and the comparison of the vehicle features is usually a comparison of vehicle features of a certain vehicle, so that when determining whether the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, specifically, when the first collection time and the second collection time have a certain time interval, it may be determined whether the first monitoring data and the second monitoring data satisfy the abnormal monitoring condition. The time interval between the first collection time and the second collection time may refer to an expected transit time of the vehicle in the monitored road section corresponding to the first monitoring position and the second monitoring position.

As yet another embodiment, the method may further include:

and if the first monitoring data and the second monitoring data meet normal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in normal operation states.

The first monitoring data and the second monitoring data satisfying the normal monitoring condition may mean that a data difference between the first monitoring data and the second monitoring data is small, for example, for the same monitoring parameter, a data difference between a value of the monitoring parameter in the first monitoring data and a value of the monitoring parameter in the second monitoring data is small. If the data difference between the first monitoring data and the second monitoring data is small, the traffic flow driving conditions of the two monitoring positions can be determined to be normal, and then the running states of the monitoring road sections corresponding to the two monitoring positions are determined to be normal.

The traffic flow passing through the two monitoring positions is monitored to obtain corresponding monitoring data, and then the running state of the monitored road section is judged by judging whether the monitoring data are abnormal or not. When the monitored road section is in the abnormal operation state, prompt information can be output to prompt the traffic operation state of the monitored road section. As an embodiment, the method may further comprise:

and outputting prompt information that the first monitoring position and the second monitoring position correspond to the monitoring road section in an abnormal operation state.

As shown in fig. 5, a flow chart of another embodiment of a road monitoring method provided in an embodiment of the present invention may include the following steps:

501: and monitoring the traffic flow passing through the first monitoring position to obtain first monitoring data.

502: and monitoring the traffic flow passing through the second monitoring position to obtain second monitoring data.

Some steps of the embodiment of the present invention are the same as those of the embodiment shown in fig. 4, and are not repeated herein.

503: and if the first monitoring data and the second monitoring data meet the abnormal monitoring condition, determining the monitoring interval and the monitoring times.

504: and continuously monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position according to the monitoring times based on the monitoring interval to obtain updated first monitoring data and second monitoring data.

Based on the monitoring interval and according to the monitoring times, continuously monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position, and obtaining the updated first monitoring data and second monitoring data may include: monitoring the traffic flow of the first monitoring position according to the monitoring interval and the monitoring times, updating the first monitoring data, monitoring the traffic flow of the second monitoring position, and updating the second monitoring data; and judging whether the first monitoring data and the second monitoring data meet abnormal monitoring conditions or not aiming at the first monitoring data and the second monitoring data which are updated each time so as to determine the traffic running states of the monitoring road sections corresponding to the first monitoring position and the second monitoring position.

505: and if the first monitoring data and the second monitoring data after each updating meet the abnormal monitoring condition, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

For the first monitoring data and the second monitoring data updated each time, whether the first monitoring data and the second monitoring data meet the abnormal monitoring condition can be judged, and then the monitoring road sections corresponding to the first monitoring position and the second monitoring position are determined to be in the abnormal operation state.

The updated first monitoring data and second monitoring data continuously satisfy the abnormal monitoring condition, which may mean that there is a large data difference between the first monitoring data and the second monitoring data.

In the embodiment of the invention, if the monitored road sections corresponding to the first monitoring position and the second monitoring position are monitored to be in the abnormal operation state, the possibility of misjudgment is high when the monitored road sections are in the abnormal operation state through only one-time judgment, the first monitoring position and the second monitoring position can be continuously monitored according to the monitoring times at intervals so as to obtain the first monitoring data and the second monitoring data obtained by each monitoring, whether the updated monitoring data meets the abnormal monitoring condition or not is judged, if the updated first monitoring data and the updated second monitoring data meet the abnormal monitoring condition, the continuous data mutation of the monitoring data of the monitored road sections can be judged, and the monitoring road sections corresponding to the first monitoring position and the second monitoring position can be accurately determined to be in the abnormal operation state through the mode.

In order to obtain a more accurate monitoring result, in the process of monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position, the abnormal operation state can be accurately judged by acquiring the vehicle characteristics of the vehicle. Therefore, as shown in fig. 6, the difference from the embodiment shown in fig. 5 is that the step 505: if the first monitoring data and the second monitoring data after each update both satisfy the abnormal monitoring condition, determining that the monitoring section corresponding to the first monitoring position and the second monitoring position is in the abnormal operation state may include:

601: and if the first monitoring data and the second monitoring data after each updating meet the abnormal monitoring condition, acquiring the vehicle characteristic data of the vehicle passing through the first monitoring position, acquiring the first characteristic data, acquiring the vehicle characteristic data of the vehicle passing through the second monitoring position, and acquiring the second characteristic data.

602: and if the first characteristic data and the second characteristic data have characteristic data difference, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

The first characteristic data may include vehicle characteristic data of at least one vehicle passing through the first monitored location, and the second characteristic data may include vehicle characteristic data of at least one vehicle passing through the second monitored location.

Alternatively, the vehicle feature data of the vehicle may refer to license plate feature data formed by license plates of the vehicle, or image feature data formed by collected images of the vehicle, and the like.

As an embodiment, the determining that the monitored section corresponding to the first monitoring position and the second monitoring position is in the abnormal operation state if the first characteristic data and the second characteristic data have characteristic data difference may include:

and aiming at the vehicle characteristic data of any vehicle, if the first characteristic data and the second characteristic data do not contain the vehicle characteristic data simultaneously, determining that the monitoring road section corresponding to the first monitoring position and the second monitoring position is in an abnormal operation state.

When the monitoring road sections corresponding to the first monitoring position and the second monitoring position are determined to be in the abnormal operation state, any vehicle needs to sequentially pass through the first monitoring position and the second monitoring position, or should sequentially pass through the first monitoring position and the second monitoring position according to the driving direction.

And the time difference value of the first acquisition time corresponding to the first characteristic data and the second acquisition time corresponding to the second characteristic data is the predicted passing time of any vehicle in a monitoring road section formed by the first monitoring position and the second monitoring position. The estimated transit time is the quotient of the length of the monitored road segment and the average traveling speed of the vehicle. In order to avoid misjudgment, the preset passing time can be calculated based on the minimum vehicle speed, and the passing time of any vehicle passing through the monitoring road section formed by the first monitoring position and the second monitoring position is obtained. When the preset passing time is determined based on the passing time, the waiting time can be obtained, and the preset passing time is obtained by adding the waiting time and the preset passing time. And misjudgment can be further avoided through waiting time, and the monitoring accuracy is improved.

Optionally, if the first characteristic data at the first collecting time is different from the second characteristic data at the second collecting time, it may be determined that the monitored road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state, and it may also be determined that a vehicle corresponding to the vehicle characteristic data that does not exist in the first characteristic data and the second characteristic data at the same time has abnormal driving. The time interval between the first acquisition time and the second acquisition time is the predicted transit time.

In the process that the vehicle runs on the monitoring road section corresponding to the first monitoring position and the second monitoring position, if abnormal running states such as congestion and the like occur in the monitoring road section, the vehicle cannot arrive at the other monitoring position from one monitoring position within the estimated traffic time, therefore, the collected first characteristic data of the first monitoring position can be compared with the second characteristic data of the second monitoring position to judge whether the first characteristic data and the second characteristic data have difference of the characteristic data, further judge whether conditions such as vehicle loss and the like exist between the first monitoring position and the second monitoring position, and determine the traffic running state of the monitoring road section through the monitoring vehicle.

In order to obtain an accurate monitoring result, various states of traffic flow passing through any monitoring position can be monitored, and traffic flow state parameters can reflect the vehicle running conditions of the monitoring position, so that as an embodiment, the first monitoring data comprises first parameter data corresponding to the traffic flow state parameters; the second monitoring data comprise second monitoring data corresponding to the traffic flow state parameters;

the monitoring of the traffic flow passing through the first monitoring location, and the obtaining of the first monitoring data comprises:

monitoring traffic flow passing through the first monitoring position based on traffic flow state parameters to obtain first parameter data corresponding to the traffic flow state parameters;

the monitoring of the traffic flow passing through the second monitoring position, and the obtaining of the second monitoring data includes:

and monitoring the traffic flow passing through the second monitoring position based on the traffic flow state parameters to obtain second parameter data corresponding to the traffic flow state parameters.

When the first parameter data is obtained, a first acquisition time at that time may be recorded. When the second parameter data is obtained, a second acquisition time at this time may be recorded. The embodiment of the invention monitors the traffic flow on a certain road section to obtain corresponding monitoring data, and for the road section, the road section can be determined to be in a normal operation state when the monitoring data of the traffic flow obtained at different monitoring positions are the same at the same monitoring time, and the road section can be determined to be in an abnormal operation state when the monitoring data obtained at different monitoring positions are different at the same monitoring time.

Therefore, the determining that the monitored road sections corresponding to the first monitoring position and the second monitoring position are in the abnormal monitoring state may include: and if the first acquisition time of the first monitoring data is the same as the second acquisition time of the second monitoring data, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal monitoring state if the first monitoring data and the second monitoring data meet abnormal monitoring conditions.

After the traffic flow state is monitored and the parameter data of each traffic flow state parameter is obtained, the running state of the monitored road section can be judged by using the parameter data of the traffic flow state parameters. As another embodiment, if the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, determining that the monitored road segment corresponding to the first monitoring position and the second monitoring position is in an abnormal operating state includes:

and if the first parameter data and the second parameter data corresponding to the traffic flow state parameters are different, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state. Optionally, the traffic flow state parameters may include a plurality of traffic flow state parameters, the first parameter data may include parameter data corresponding to the plurality of traffic flow state parameters, and the second parameter data may include parameter data corresponding to the plurality of traffic flow state parameters.

The difference between the first parameter data and the second parameter data corresponding to the traffic flow state parameters may mean that, for each traffic flow state parameter, the parameter data of the parameter in the first parameter data is different from the parameter data of the parameter in the second parameter data.

In one possible design, the traffic state parameters include: a traffic flow parameter, a vehicle speed parameter and/or a road occupancy parameter;

the monitoring of the traffic flow passing through the first monitoring position based on the traffic flow state parameters, and the obtaining of the first parameter data corresponding to the traffic flow state parameters includes:

monitoring the traffic flow passing through the first monitoring position based on the traffic flow parameter, the vehicle speed parameter and/or the road occupancy parameter to obtain a first traffic flow, a first vehicle speed and/or a first road occupancy;

the monitoring of the traffic flow passing through the second monitoring position based on the traffic flow state parameters, and the obtaining of the second parameter data corresponding to the traffic flow state parameters includes:

and monitoring the traffic flow passing through the second monitoring position based on the traffic flow parameter, the vehicle speed parameter and/or the road occupancy parameter to obtain a second traffic flow, a second vehicle speed and/or a second road occupancy.

Alternatively, the traffic flow may refer to the number of vehicles passing through a road cross section corresponding to a certain monitoring position in unit time, the vehicle speed may refer to the speed of the vehicles passing through the road cross section corresponding to the certain monitoring position, and the road occupancy may refer to the proportion of the monitored road section covered by the vehicles on the monitored road section. In the course of the monitored route section, the operating state of the monitored route section can be determined from the monitoring result of the at least one traffic state parameter. As a possible implementation manner, when the monitoring result of one traffic flow state parameter is abnormal, that is, it is determined that the monitored road section is in the abnormal operation state, and when it is determined that the monitoring results of a plurality of traffic flow states are abnormal, it is determined that the monitored road section is in the abnormal operation state.

Optionally, a traffic flow at the first monitoring position may be monitored by using a flow monitoring device or a video flow detection algorithm to obtain a first traffic flow corresponding to the traffic flow parameter, and a traffic flow at the second monitoring position may be monitored to obtain a second traffic flow corresponding to the traffic flow parameter.

Optionally, the speed of at least one vehicle passing through the first monitoring location may be obtained; and determining a first vehicle speed corresponding to the vehicle speed parameter according to the respective vehicle speed of the at least one vehicle. The speed of at least one vehicle passing through the second monitoring location may be obtained; and determining a second vehicle speed corresponding to the vehicle speed parameter according to the respective vehicle speed of at least one vehicle. The speed of the vehicle passing through each monitoring position can be obtained by monitoring the vehicle speed monitoring equipment and can also be determined by acquiring the GPS positions uploaded by the vehicle at different times.

Optionally, a road monitoring algorithm may be used to monitor the traffic flow of the first monitoring position to obtain a first road occupancy corresponding to the road occupancy parameter, and monitor the traffic flow of the second monitoring position to obtain a second road occupancy corresponding to the road occupancy parameter.

Therefore, in the traffic flow monitoring process, if parameter data corresponding to parameters such as a traffic flow parameter, a vehicle speed parameter, and/or a road occupancy parameter are monitored, as a possible implementation manner, in order to accurately monitor a road, if the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, determining that a monitored road segment corresponding to the first monitoring position and the second monitoring position is in an abnormal operation state includes:

and if the first vehicle flow is different from the second vehicle flow, the first vehicle speed is different from the second vehicle speed, and/or the first road occupancy is different from the second road occupancy, determining that the monitoring road section corresponding to the first monitoring position and the second monitoring position is in an abnormal operation state.

Through monitoring of different traffic flow state parameters, the running condition of the vehicle on the monitored road section can be determined and obtained, so that the running condition of the monitored road section is determined, and an accurate running state judgment result is obtained.

In some embodiments, in the process of monitoring a road, in addition to monitoring the running condition of the road, direct monitoring may be performed on vehicles on the road, and the accurate running condition of the road is obtained by monitoring the running condition of the vehicles, where the first monitoring data may include third characteristic data, and the second monitoring location includes fourth characteristic data;

the monitoring of the traffic flow passing through the first monitoring location, and the obtaining of the first monitoring data includes:

monitoring vehicle characteristic data of the vehicle passing through the first monitoring position to obtain third characteristic data;

and monitoring the vehicle characteristic data of the vehicle passing through the second monitoring position to obtain fourth characteristic data.

The third characteristic data may include vehicle characteristic data of the at least one vehicle passing through the first monitored location and the fourth characteristic data may include vehicle characteristic data of the at least one vehicle passing through the second monitored location.

And the time difference value of the third acquisition time corresponding to the third characteristic data and the fourth acquisition time corresponding to the fourth characteristic data is the predicted passing time of any vehicle in a monitoring road section formed by the first monitoring position and the second monitoring position. The estimated transit time is the quotient of the length of the monitored road segment and the average traveling speed of the vehicle.

In some possible designs, if the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, determining that the monitoring section corresponding to the first monitoring position and the second monitoring position is in an abnormal operating state may include:

and if the third characteristic data and the fourth characteristic data have characteristic data difference, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

If data difference exists between the third characteristic data acquired at the third acquisition time and the fourth characteristic data acquired at the fourth acquisition time, the monitoring road section corresponding to the first monitoring position and the second monitoring position can be determined to be in an abnormal operation state. And the time difference value between the third acquisition time and the fourth acquisition time is the predicted passing time.

As a possible implementation manner, whether there is a difference between the third feature data and the fourth feature data is determined by:

and determining that the third characteristic data is different from the fourth characteristic data if the third characteristic data and the fourth characteristic data do not contain the vehicle characteristic data aiming at the vehicle characteristic data of any vehicle.

Specifically, if the third characteristic data and the fourth characteristic data do not include the vehicle characteristic data of a certain vehicle, the fourth characteristic data may include the vehicle characteristic data of the certain vehicle, or the third characteristic data does not include the vehicle characteristic data of the certain vehicle, and the fourth characteristic data includes the vehicle characteristic data of the certain vehicle.

As another possible implementation manner, whether there is a difference between the third feature data and the fourth feature data is determined by:

determining a first time of occurrence of the vehicle at a first monitoring location and a second time of occurrence of the vehicle at a second monitoring location based on vehicle characteristic data of any one vehicle;

and if the time interval between the first appearance time and the second appearance time is larger than the preset passing time, determining that the third characteristic data and the fourth characteristic data have characteristic data difference.

When any vehicle passes through the first monitoring position, the vehicle characteristic data of the vehicle can be collected, third characteristic data is obtained, and the first occurrence time of the vehicle at the first monitoring position is recorded; similarly, when any vehicle passes through the second monitoring position, the vehicle characteristic data of the vehicle can be collected, the fourth characteristic data is obtained, and the second occurrence time of the vehicle at the second monitoring position is recorded.

Optionally, the first time of occurrence of the vehicle at the first monitoring position is a third collecting time of the third characteristic data, and the second time of occurrence of the vehicle at the second monitoring position is a fourth collecting time of the fourth characteristic data.

The time interval between the first occurrence time and the second occurrence time is greater than the preset passing time, which indicates that the time difference between the third acquisition time of the vehicle characteristic data at the first monitoring position and the fourth acquisition time of the second monitoring position is greater than the preset passing time, that is, the vehicle passes through the first monitoring position and the second monitoring position in sequence after a long time, and it can be judged that the monitoring section corresponding to the first monitoring position and the second monitoring position needs to be greater than the preset passing time to pass through the monitoring section, and the monitoring section is in an abnormal passing state.

When any vehicle sequentially passes through the first monitoring position and the second monitoring position, as another possible implementation manner, whether the third characteristic data and the fourth characteristic data have characteristic differences may be determined by:

determining a third time of occurrence of any one of the vehicles at the first monitoring location based on the vehicle characteristic data;

calculating a fourth time of occurrence of the vehicle at a second monitoring location predicted based on a preset interval time;

determining that the third characteristic data differs from the fourth characteristic data if the vehicle is not present at the second monitored location at the fourth time.

If the vehicle passes the first monitoring location but does not pass the second monitoring location, it may be determined that the vehicle has an anomaly in the monitored road segment.

As shown in fig. 7, a schematic structural diagram of an embodiment of a road monitoring device provided in an embodiment of the present invention may include the following modules:

a first obtaining module 701, configured to monitor traffic flows passing through a first monitoring location, and obtain first monitoring data;

a second obtaining module 702, configured to monitor traffic flow passing through a second monitoring location, and obtain second monitoring data;

the first determining module 703 is configured to determine that the monitored road segment corresponding to the first monitoring position and the second monitoring position is in an abnormal operation state if the first monitoring data and the second monitoring data meet an abnormal monitoring condition.

As an embodiment, the apparatus may further include: and the second determining module is used for determining the first monitoring position and the second monitoring position.

In the embodiment of the invention, the traffic flow passing through the two monitoring positions is monitored to obtain corresponding monitoring data, and the running state of the monitored road section is judged by judging whether the monitoring data is abnormal or not. The automatic monitoring of the traffic condition of the monitored road section is realized, the traffic abnormity is discovered in time, and the monitoring efficiency and the monitoring accuracy are improved.

As an embodiment, the apparatus may further include:

and the information output module is used for outputting prompt information that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

By outputting the prompt information that the traffic running state of the monitored road section is in the abnormal running state, the user can conveniently confirm the traffic road section with abnormal running so as to schedule the abnormal traffic road section in time and improve the monitoring efficiency.

As an embodiment, the apparatus may further include:

and the third determining module is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in a normal running state if the first monitoring data and the second monitoring data meet normal monitoring conditions.

As yet another embodiment, the first determining module may include:

a continuous monitoring unit, configured to, if the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, continuously monitor a traffic flow of the first monitoring location and a traffic flow of the second monitoring location based on a preset monitoring interval and monitoring times, and update the first monitoring data and the second monitoring data;

and the first determining unit is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the first monitoring data and the second monitoring data which are updated each time both meet abnormal monitoring conditions.

In order to obtain a more accurate monitoring result, in the process of monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position, the abnormal operation state can be accurately judged by acquiring the vehicle characteristics of the vehicle. Therefore, in some embodiments, the state determination unit may include:

the data acquisition subunit is used for acquiring vehicle characteristic data of the vehicle passing through the first monitoring position to obtain first characteristic data and acquiring vehicle characteristic data of the vehicle passing through the second monitoring position to obtain second characteristic data if the first monitoring data and the second monitoring data which are updated each time both meet abnormal monitoring conditions;

and the state determining subunit is configured to determine that the monitored road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the first characteristic data and the second characteristic data have characteristic data differences.

As one embodiment, the state determination subunit includes:

and the characteristic determining module is used for determining that the first monitoring position and the second monitoring position correspond to the monitoring road section in the abnormal operation state aiming at the vehicle characteristic data of any vehicle if the first characteristic data and the second characteristic data do not contain the vehicle characteristic data simultaneously.

In order to obtain an accurate monitoring result, various states of traffic flow passing through any monitoring position can be monitored, and traffic flow state parameters can reflect the vehicle running condition of the monitoring position, so that as an embodiment, the first monitoring data comprises first parameter data corresponding to the traffic flow state parameters; the second monitoring data comprise second monitoring data corresponding to the traffic flow state parameters;

the first obtaining module comprises:

the first obtaining unit is used for monitoring the traffic flow passing through the first monitoring position based on the traffic flow state parameters and obtaining first parameter data corresponding to the traffic flow state parameters;

the second obtaining module includes:

and the second obtaining unit is used for monitoring the traffic flow passing through the second monitoring position based on the traffic flow state parameters and obtaining second parameter data corresponding to the traffic flow state parameters.

After the traffic flow state is monitored and the parameter data of each traffic flow state parameter is obtained, the running state of the monitored road section can be judged by using the parameter data of the traffic flow state parameters. As yet another embodiment, the first determining module may include:

and the second determining unit is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the first parameter data and the second parameter data corresponding to the traffic flow state parameters are different.

the first obtaining unit includes:

the first obtaining subunit is configured to monitor a traffic flow passing through the first monitoring position based on the traffic flow parameter, the vehicle speed parameter, and/or the road occupancy parameter, and obtain a first traffic flow, a first vehicle speed, and/or a first road occupancy;

the second obtaining unit includes:

and the second obtaining subunit is used for monitoring the traffic flow passing through the second monitoring position based on the traffic flow parameter, the vehicle speed parameter and/or the road occupancy parameter, and obtaining a second traffic flow, a second vehicle speed and/or a second road occupancy.

Therefore, in the traffic flow monitoring process, if parameter data corresponding to parameters such as a traffic flow parameter, a vehicle speed parameter, and/or a road occupancy parameter is monitored, in order to implement accurate monitoring of a road, as a possible implementation manner, the first determining module may include:

and the third determining unit is used for determining that the monitoring road section corresponding to the first monitoring position and the second monitoring position is in an abnormal operation state if the first vehicle flow is different from the second vehicle flow, the first vehicle speed is different from the second vehicle speed, and/or the first road occupancy is different from the second road occupancy.

In some embodiments, in the process of monitoring the road, besides monitoring the running condition of the road, the vehicle on the road may be directly monitored, and the accurate running condition of the road is obtained by monitoring the running condition of the vehicle, where the first monitoring data includes the third characteristic data, and the second monitoring position includes the fourth characteristic data;

the first obtaining module includes:

a third obtaining unit, configured to monitor vehicle characteristic data of a vehicle passing through the first monitoring position, and obtain third characteristic data;

the second obtaining module comprises:

and a fourth obtaining unit configured to monitor vehicle characteristic data of the vehicle passing through the second monitoring position, and obtain fourth characteristic data.

By using the characteristic data of the vehicle obtained by monitoring, whether the vehicle is abnormal or not can be judged, so as to judge whether the vehicle is abnormal or not, in some possible designs, the first determining module comprises:

and the fourth determining unit is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the third characteristic data and the fourth characteristic data have characteristic data difference.

As a possible implementation manner, the fourth determining unit may specifically be configured to:

and determining that the third characteristic data and the fourth characteristic data have characteristic data difference if the third characteristic data and the fourth characteristic data do not contain the vehicle characteristic data aiming at the vehicle characteristic data of any vehicle.

As another possible implementation manner, the fourth determining unit may specifically be configured to:

and if the time interval between the first appearance time and the second appearance time is greater than the preset passing time, determining that the third characteristic data and the fourth characteristic data have characteristic data difference.

determining a third time of occurrence of the vehicle at the first monitoring location based on vehicle characteristic data of any one of the vehicles;

The road monitoring device shown in fig. 6 may perform the road monitoring method described in the embodiments shown in fig. 4 to fig. 5, and the implementation principle and the technical effect are not described again. The detailed description of the operations performed by the modules, units and sub-units of the road monitoring device in the above embodiments has been described in detail in the embodiments of the method, and will not be described in detail here.

The road monitoring apparatus shown in fig. 7 may be implemented as a road monitoring device, and as shown in fig. 8, the road monitoring apparatus provided in the embodiment of the present invention is a schematic structural diagram of an embodiment of a road monitoring device, where the road monitoring apparatus may include: a storage component 801 and a processing component 802, wherein the storage component 801 stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component;

the processing component 802 is configured to:

monitoring the traffic flow passing through the first monitoring position to obtain first monitoring data; monitoring the traffic flow passing through the second monitoring position to obtain second monitoring data; and if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in abnormal operation states.

As one embodiment, the processing component is further to: and determining a first monitoring position and a second monitoring position.

In order to perform status prompting for the monitored road segment between the first monitoring location and the second monitoring location, as another embodiment, the processing component is further configured to:

and outputting prompt information that the first monitoring position and the second monitoring position correspond to the monitoring road section in the abnormal operation state.

For one embodiment, the processing component 802 may be further configured to:

and if the first monitoring data and the second monitoring data meet normal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in a normal running state.

As another embodiment, when the first monitoring data and the second monitoring data satisfy the abnormal monitoring condition, the determining, by the processing component, that the monitored section corresponding to the first monitoring position and the second monitoring position is in the abnormal operating state may specifically be:

if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, continuously monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position based on a preset monitoring interval and monitoring times, and updating the first monitoring data and the second monitoring data;

and if the first monitoring data and the second monitoring data after each updating meet the abnormal monitoring condition, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

In order to obtain a more accurate monitoring result, in the process of monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position, the vehicle characteristics of the vehicle can be acquired so as to accurately judge whether an abnormal operation state occurs. Therefore, in some embodiments, when the updated first monitoring data and the updated second monitoring data meet the abnormal monitoring condition each time, the determining that the monitored road segment corresponding to the first monitoring position and the second monitoring position is in the abnormal operating state may specifically be:

if the first monitoring data and the second monitoring data after each updating meet the abnormal monitoring condition, acquiring vehicle characteristic data of the vehicle passing through the first monitoring position, acquiring first characteristic data, acquiring vehicle characteristic data of the vehicle passing through the second monitoring position, and acquiring second characteristic data;

and if the first characteristic data and the second characteristic data have characteristic data difference, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

As an embodiment, when the feature data difference exists between the first feature data and the second feature data, the determining, by the processing component, that the monitored road segment corresponding to the first monitoring position and the second monitoring position is in the abnormal operating state may specifically be:

and aiming at the vehicle characteristic data of any vehicle, if the first characteristic data and the second characteristic data do not contain the vehicle characteristic data simultaneously, determining that the monitoring road section corresponding to the first monitoring position and the second monitoring position is in an abnormal operation state. In the process that the vehicle runs on the monitoring road section corresponding to the first monitoring position and the second monitoring position, if abnormal running states such as congestion occur in the monitoring road section, the vehicle cannot reach another monitoring position from one monitoring position within the expected passing time, therefore, the collected first characteristic data of the first monitoring position can be compared with the second characteristic data of the second monitoring position to judge whether the first characteristic data and the second characteristic data have the difference of the characteristic data, further judge whether conditions such as vehicle loss exist between the first monitoring position and the second monitoring position, and determine the traffic running state of the monitoring road section through the monitoring vehicle.

the processing component monitors the traffic flow passing through the first monitoring position, and the obtaining of the first monitoring data may specifically be:

monitoring the traffic flow passing through the first monitoring position based on the traffic flow state parameters to obtain first parameter data corresponding to the traffic flow state parameters;

the processing component monitors the traffic flow passing through the second monitoring position, and the obtaining of the second monitoring data may specifically be:

After the traffic flow state is monitored and the parameter data of each traffic flow state parameter is obtained, the running state of the monitored road section can be judged by using the parameter data of the traffic flow state parameters. As another embodiment, when the first monitoring data and the second monitoring data satisfy the abnormal monitoring condition, the determining, by the processing component, that the monitored section corresponding to the first monitoring position and the second monitoring position is in the abnormal operating state may specifically be:

and if the first parameter data and the second parameter data corresponding to the traffic flow state parameters are different, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

the processing component monitors the traffic flow passing through the first monitoring position based on the traffic flow state parameter, and the obtaining of the first parameter data corresponding to the traffic flow state parameter may specifically be:

the processing component monitors traffic flow passing through the second monitoring position based on the traffic flow state parameter, and the second parameter data corresponding to the traffic flow state parameter may specifically be:

Optionally, a road monitoring algorithm may be used to monitor the traffic flow at the first monitoring position to obtain a first road occupancy corresponding to the road occupancy parameter, and to monitor the traffic flow at the second monitoring position to obtain a second road occupancy corresponding to the road occupancy parameter.

Therefore, in the traffic flow monitoring process, if parameter data corresponding to parameters such as a traffic flow parameter, a vehicle speed parameter, and/or a road occupancy parameter are monitored, as a possible implementation manner, in order to accurately monitor a road, when the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, the determining, by the processing component, that the monitored road segment corresponding to the first monitoring position and the second monitoring position is in an abnormal operating state may specifically be:

In some possible designs, when the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition, the determining that the monitoring section corresponding to the first monitoring position and the second monitoring position is in an abnormal operating state may specifically be:

As a possible implementation manner, the processing component may determine whether there is a difference between the third feature data and the fourth feature data by:

As another possible implementation manner, the processing component may determine whether there is a difference between the third feature data and the fourth feature data by:

In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium; which computer program causes a computer to carry out a method of road monitoring as described in any of the embodiments of figures 4 to 5 above when executed.

The road monitoring device shown in fig. 8 may execute the road monitoring method shown in the embodiments shown in fig. 4 to 5, and the implementation principle and the technical effect are not repeated. The specific manner in which the processing components of the road monitoring device in the above-described embodiments perform operations has been described in detail in relation to embodiments of the method and will not be elaborated upon here.

As shown in fig. 9, a schematic structural diagram of an embodiment of a road monitoring device provided in an embodiment of the present invention may include the following modules:

the position determining module 901 is configured to determine at least two monitoring positions corresponding to the target road segment.

The traffic flow monitoring module 902 monitors traffic flow passing through each monitoring position to obtain monitoring data corresponding to each monitoring position.

And the state determining module 903 is configured to determine the traffic operation state of the target road segment according to the monitoring data corresponding to the at least two monitoring positions.

As an embodiment, the state determination module may include:

the road section obtaining unit is used for determining a monitoring road section corresponding to any two adjacent monitoring positions in the at least two monitoring positions and obtaining at least one monitoring road section;

the fifth determining unit is used for determining the traffic running state of the monitored road section according to the monitoring data respectively corresponding to the two adjacent monitoring positions of any monitored road section;

and the sixth determining unit is used for determining the traffic operation state of the target road section according to the respective traffic operation state of the at least one monitoring road section.

As a possible implementation manner, the sixth determining unit may include:

the first determining subunit is used for determining that the target road section is in a normal operation state if each monitored road section is in a normal operation state;

and the second determining subunit is used for determining that the target road section is in the abnormal operation state if any monitoring road section is in the abnormal operation state.

As an embodiment, the fifth determining unit may include:

the position determining subunit is configured to determine that two adjacent monitoring positions of any one of the monitoring road segments are a first monitoring position and a second monitoring position, respectively;

the data determining subunit is configured to determine first monitoring data corresponding to the first monitoring location and second monitoring data corresponding to the second monitoring location;

and the first determining module is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the first monitoring data and the second monitoring data meet abnormal monitoring conditions.

The road monitoring device shown in fig. 9 may perform the road monitoring method described in the embodiments shown in fig. 1 to fig. 3, and the implementation principle and the technical effect thereof are not described again. The specific manner of operation performed by each module, unit and sub-unit in the road monitoring device in the above embodiments has been described in detail in the embodiments related to the method, and will not be described in detail herein.

The road monitoring apparatus shown in fig. 9 may be implemented as a road monitoring device, as shown in fig. 10, which is a schematic structural diagram of an embodiment of a road monitoring device provided in an embodiment of the present invention, and the road monitoring apparatus may include: a storage component 1001 and a processing component 1002, wherein the storage component 1001 stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component;

the processing component 1002 is configured to:

As an embodiment, the determining, by the processing component according to the monitoring data respectively corresponding to the at least two monitoring positions, the traffic operation state of the target road segment may specifically be:

determining a monitoring road section corresponding to any two adjacent monitoring positions in the at least two monitoring positions to obtain at least one monitoring road section;

determining the traffic running state of the monitored road section according to the monitoring data respectively corresponding to two adjacent monitoring positions of any monitored road section;

and determining the traffic operation state of the target road section according to the respective traffic operation state of the at least one monitoring road section.

As a possible implementation manner, the determining, by the processing component, the traffic operation state of the target road segment according to the respective traffic operation state of the at least one monitored road segment may specifically be:

if each monitored road section is in a normal operation state, determining that the target road section is in a normal operation state;

and if any monitored road section is in an abnormal operation state, determining that the target road section is in an abnormal operation state.

As an embodiment, the determining, by the processing component, the traffic operation state of the monitored road segment according to the monitoring data respectively corresponding to two adjacent monitoring positions of any monitored road segment may specifically be:

and if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium; which computer program causes a computer to carry out the method for road monitoring as described in figures 1-3 when executed.

The road monitoring device shown in fig. 10 may execute the road monitoring method described in the embodiments shown in fig. 1 to fig. 3, and the implementation principle and the technical effect thereof are not described again. The specific manner in which the processing components of the road monitoring device in the above-described embodiments perform operations has been described in detail in relation to embodiments of the method and will not be elaborated upon here.

It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A method of road monitoring, comprising:

determining a first monitoring position and a second monitoring position, wherein the first monitoring position and the second monitoring position are any two adjacent monitoring positions in a target road section;

monitoring traffic flow passing through a first monitoring position to obtain first monitoring data; the first monitoring data comprise vehicle characteristic data of vehicles at the cross section of the road corresponding to the first monitoring position and parameter data of at least one traffic flow state parameter;

monitoring the traffic flow passing through the second monitoring position to obtain second monitoring data; the second monitoring data comprise vehicle characteristic data of vehicles on the cross section of the road corresponding to the second monitoring position and parameter data of at least one traffic flow state parameter;

if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in abnormal operation states;

if the first monitoring data and the second monitoring data meet the abnormal monitoring condition, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in the abnormal operation state comprises the following steps:

if the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the second monitoring position have characteristic differences, the parameter data of at least one traffic flow state parameter of the cross section of the road corresponding to the first monitoring position and the parameter data of at least one traffic flow state parameter of the cross section of the road corresponding to the second monitoring position are different, continuously monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position and updating the first monitoring data and the second monitoring data based on a preset monitoring interval and monitoring times, and acquiring the vehicle characteristic data of the vehicle at the first monitoring position under the condition that the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the second monitoring position have characteristic differences each time, and acquiring the first characteristic data and the second characteristic data of the vehicle through the first monitoring position under the condition that the parameter data of at least one traffic flow state parameter of the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of at least one traffic flow state parameter of the cross section of the road corresponding to the second monitoring position are different each time, and acquiring the vehicle characteristic data of the vehicle at the first monitoring position;

2. The method of claim 1, further comprising:

3. The method according to any one of claims 1 to 2, wherein the first monitoring data comprises first parameter data corresponding to traffic flow state parameters; the second monitoring data comprise second monitoring data corresponding to the traffic flow state parameters;

4. The method of claim 3, wherein the traffic status parameters comprise: a traffic flow parameter, a vehicle speed parameter and/or a road occupancy parameter;

5. The method of claim 4, wherein the determining that the monitored road segment corresponding to the first monitoring location and the second monitoring location is in an abnormal operation state if the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition comprises:

6. The method according to any one of claims 1 to 2, wherein the first monitoring data comprises third characteristic data and the second monitoring location comprises fourth characteristic data;

7. The method of claim 6, wherein the determining that the monitored road segment corresponding to the first monitoring location and the second monitoring location is in an abnormal operation state if the first monitoring data and the second monitoring data satisfy an abnormal monitoring condition comprises:

8. The method according to claim 7, wherein whether the third feature data and the fourth feature data have feature data difference is determined by:

9. The method according to claim 7, wherein whether the third feature data and the fourth feature data have feature data difference is determined by:

10. The method according to claim 7, wherein whether the third feature data and the fourth feature data have feature differences is determined by:

determining that the third characteristic data differs from the fourth characteristic data if the vehicle is not present at the second monitored location by the time the fourth time of occurrence is reached.

11. The method of claim 1, wherein the determining that the monitored road segment corresponding to the first monitoring location and the second monitoring location is in an abnormal operation state if the first characteristic data and the second characteristic data have characteristic data difference comprises:

12. The method of claim 1, further comprising:

13. A method of road monitoring, comprising:

determining at least two monitoring positions corresponding to a target road section; the at least two monitoring positions comprise any two adjacent monitoring positions in the target road section;

monitoring the traffic flow passing through each monitoring position to obtain monitoring data corresponding to each monitoring position; the monitoring data comprises vehicle characteristic data of vehicles corresponding to the cross section of the road at the corresponding monitoring position and parameter data of at least one traffic flow state parameter;

determining the traffic operation state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions;

the determining the traffic operation state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions comprises:

if the vehicle characteristic data of the vehicles on the cross section of the road respectively corresponding to the at least two monitoring positions have characteristic differences and the parameter data of the at least one traffic flow state parameter are different, continuously monitoring the traffic flow of the at least two monitoring positions and updating the monitoring data respectively corresponding to the at least two monitoring positions based on a preset monitoring interval and monitoring times, and acquiring the vehicle characteristic data of the vehicles passing through the at least two monitoring positions under the conditions that the vehicle characteristic data of the vehicles on the cross section of the road respectively corresponding to the at least two monitoring positions after each updating has characteristic differences and the parameter data of the at least one traffic flow state parameter are different, so as to obtain the characteristic data respectively corresponding to the at least two monitoring positions;

and determining the traffic operation state of the target road section according to the characteristic data respectively corresponding to the at least two monitoring positions.

14. The method according to claim 13, wherein the determining the traffic operation state of the target road segment according to the monitoring data corresponding to the at least two monitoring positions comprises:

15. The method of claim 14, wherein determining the traffic operation status of the target road segment according to the traffic operation status of each of the at least one monitored road segment comprises:

16. The method according to claim 15, wherein the determining the traffic operation state of the monitored road section according to the monitoring data respectively corresponding to two adjacent monitoring positions of any monitored road section comprises:

17. A road monitoring device, comprising:

the second determining module is used for determining the first monitoring position and the second monitoring position; the first monitoring position and the second monitoring position are any two adjacent monitoring positions in a target road section;

the first acquisition module is used for monitoring the traffic flow passing through the first monitoring position to acquire first monitoring data; the first monitoring data comprise vehicle characteristic data of vehicles at the cross section of the road corresponding to the first monitoring position and parameter data of at least one traffic flow state parameter;

the second obtaining module is used for monitoring the traffic flow passing through a second monitoring position to obtain second monitoring data; the second monitoring data comprise vehicle characteristic data of vehicles at the cross section of the road corresponding to the second monitoring position and parameter data of at least one traffic flow state parameter;

the first determining module is used for determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state if the first monitoring data and the second monitoring data meet abnormal monitoring conditions;

the first determining module is specifically configured to, if there is a characteristic difference between vehicle characteristic data of a vehicle at a cross section of a road corresponding to the first monitoring position and vehicle characteristic data of a vehicle at a cross section of a road corresponding to the second monitoring position, and parameter data of at least one traffic flow state parameter of a cross section of a road corresponding to the first monitoring position is different from parameter data of at least one traffic flow state parameter of a cross section of a road corresponding to the second monitoring position, continuously monitor a traffic flow at the first monitoring position and a traffic flow at the second monitoring position based on a preset monitoring interval and monitoring times, update the first monitoring data and the second monitoring data, and acquire the second monitoring data and the first monitoring position by acquiring the second monitoring position and the second monitoring position from the vehicle characteristic data of the vehicle at the first monitoring position when the updated vehicle characteristic data of the vehicle at the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of the vehicle at least one traffic flow state parameter of the cross section of the road corresponding to the second monitoring position are different from each other; and if the first characteristic data and the second characteristic data have characteristic data difference, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state.

18. A road monitoring device, comprising: the position determining module is used for determining at least two monitoring positions corresponding to the target road section; the at least two monitoring positions comprise any two adjacent monitoring positions in the target road section;

the traffic flow monitoring module is used for monitoring traffic flow passing through each monitoring position and acquiring monitoring data corresponding to each monitoring position; the monitoring data comprises vehicle characteristic data of vehicles corresponding to the cross section of the road at the corresponding monitoring position and parameter data of at least one traffic flow state parameter;

the state determining module is used for determining the traffic running state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions;

the state determination module is specifically configured to, if the vehicle characteristic data of the vehicles on the road cross section corresponding to the at least two monitoring positions respectively have a characteristic difference and the parameter data of the at least one traffic flow state parameter are different, continuously monitor the traffic flows of the at least two monitoring positions and update the monitoring data corresponding to the at least two monitoring positions respectively based on a preset monitoring interval and monitoring times, and acquire the vehicle characteristic data of the vehicles passing through the at least two monitoring positions under the condition that the vehicle characteristic data of the vehicles on the road cross section corresponding to the at least two monitoring positions respectively have a characteristic difference and the parameter data of the at least one traffic flow state parameter are different each other after each update, so as to obtain the characteristic data corresponding to the at least two monitoring positions respectively; and determining the traffic operation state of the target road section according to the characteristic data respectively corresponding to the at least two monitoring positions.

19. A road monitoring device, comprising: the storage component stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component; the processing component is to:

determining a first monitoring position and a second monitoring position, wherein the first monitoring position and the second monitoring position are any two adjacent monitoring positions in a target road section; monitoring the traffic flow passing through the first monitoring position to obtain first monitoring data; the first monitoring data comprise vehicle characteristic data of vehicles at the cross section of the road corresponding to the first monitoring position and parameter data of at least one traffic flow state parameter; monitoring traffic flow passing through a second monitoring position to obtain second monitoring data; the second monitoring data comprise vehicle characteristic data of vehicles at the cross section of the road corresponding to the second monitoring position and parameter data of at least one traffic flow state parameter; if the first monitoring data and the second monitoring data meet abnormal monitoring conditions, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in an abnormal operation state; if the first monitoring data and the second monitoring data meet the abnormal monitoring condition, determining that the monitoring road sections corresponding to the first monitoring position and the second monitoring position are in the abnormal operation state comprises the following steps: if the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the second monitoring position have characteristic differences, the parameter data of at least one traffic flow state parameter of the cross section of the road corresponding to the first monitoring position and the parameter data of at least one traffic flow state parameter of the cross section of the road corresponding to the second monitoring position are different, continuously monitoring the traffic flow of the first monitoring position and the traffic flow of the second monitoring position and updating the first monitoring data and the second monitoring data based on a preset monitoring interval and monitoring times, and acquiring the vehicle characteristic data of the vehicle at the first monitoring position under the condition that the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of the vehicle at the cross section of the road corresponding to the second monitoring position have characteristic differences each time, and acquiring the first characteristic data and the second characteristic data of the vehicle through the first monitoring position under the condition that the parameter data of at least one traffic flow state parameter of the cross section of the road corresponding to the first monitoring position and the vehicle characteristic data of at least one traffic flow state parameter of the cross section of the road corresponding to the second monitoring position are different each time, and acquiring the vehicle characteristic data of the vehicle at the first monitoring position;

20. A road monitoring device, comprising: the storage component stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component; the processing component is to:

determining at least two monitoring positions corresponding to a target road section; the at least two monitoring positions comprise any two adjacent monitoring positions in the target road section; monitoring the traffic flow passing through each monitoring position to obtain monitoring data corresponding to each monitoring position; the monitoring data comprise vehicle characteristic data of vehicles on the cross section of the corresponding road corresponding to the monitoring position and parameter data of at least one traffic flow state parameter; determining the traffic running state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions; the determining the traffic operation state of the target road section according to the monitoring data respectively corresponding to the at least two monitoring positions comprises: if the vehicle characteristic data of the vehicles on the cross section of the road respectively corresponding to the at least two monitoring positions have characteristic differences and the parameter data of at least one traffic flow state parameter are different, continuously monitoring the traffic flow of the at least two monitoring positions and updating the monitoring data respectively corresponding to the at least two monitoring positions based on a preset monitoring interval and monitoring times, and acquiring the vehicle characteristic data of the vehicles passing through the at least two monitoring positions under the conditions that the vehicle characteristic data of the vehicles on the cross section of the road respectively corresponding to the at least two monitoring positions after each updating has characteristic differences and the parameter data of the at least one traffic flow state parameter are different, so as to obtain the characteristic data respectively corresponding to the at least two monitoring positions; and determining the traffic running state of the target road section according to the characteristic data respectively corresponding to the at least two monitoring positions.

21. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program;

the computer program causes a computer to implement the road monitoring method according to any one of claims 1 to 12 when executed.

22. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program;

the computer program causes a computer to implement the road monitoring method according to any one of claims 13 to 16 when the computer is executed.