CN115880891A

CN115880891A - Traffic control method, device and equipment

Info

Publication number: CN115880891A
Application number: CN202111141164.2A
Authority: CN
Inventors: 马文婷; 张志鹏
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2021-09-28
Filing date: 2021-09-28
Publication date: 2023-03-31

Abstract

The application discloses a traffic control method, a traffic control device and traffic control equipment, relates to the technical field of intelligent traffic and aims to solve the problem of poor traffic control effect. The method comprises the following steps: acquiring first traffic flow monitoring information of a target road section; determining first traffic flow information of the target road section according to the first traffic flow monitoring information; determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information; determining a target traffic regulation and control strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation and control strategy; and adjusting the timing of the traffic signal lamp of the target road section by using the target traffic regulation and control strategy. The embodiment of the application can enable the regulation and control effect to better accord with the actual traffic state of the road section, and the practicability is stronger.

Description

Traffic control method, device and equipment

Technical Field

The application relates to the technical field of intelligent traffic, in particular to a traffic control method, a traffic control device and traffic control equipment.

Background

With the improvement of living standard of people, the popularization rate of automobiles is gradually increased, so that the congestion condition of road traffic is more serious. According to the real-time traffic condition on the road, the intelligent adjustment of the signal timing of the traffic signal lamp can relieve the jam pressure of the road. At present, a certain green light time is generally prolonged when the road congestion is determined. Therefore, the existing traffic signal lamp is simple in adjusting scheme and poor in practicability.

Disclosure of Invention

The embodiment of the application provides a traffic control method, a traffic control device and traffic control equipment, and aims to solve the problem that the traffic control effect in the prior art is poor.

In a first aspect, an embodiment of the present application provides a traffic control method, including:

acquiring first traffic flow monitoring information of a target road section;

determining first traffic flow information of the target road section according to the first traffic flow monitoring information;

determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information;

determining a target traffic regulation and control strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation and control strategy;

and adjusting the timing of the traffic signal lamp of the target road section by using the target traffic regulation and control strategy.

Optionally, before determining the target traffic condition of the target road segment according to the target traffic flow information and the road segment information of the target road segment, the method further includes:

acquiring second traffic monitoring information of an adjacent road section set, wherein the adjacent road section set comprises a set of adjacent road sections which are adjacent to the target road section and can drive into the target road section;

estimating second vehicle flow information of the target road section according to the second vehicle flow monitoring information;

wherein the target traffic information further includes the second traffic information.

Optionally, the predicting second vehicle flow information entering the target road section according to the second vehicle flow monitoring information includes:

determining the driving track of the running vehicle on each adjacent road section in the adjacent road section set according to the second traffic monitoring information;

and estimating second vehicle flow information of the driving vehicle into the target road section according to the driving track of the driving vehicle on each adjacent road section.

Optionally, the determining the target traffic condition of the target road segment according to the target traffic flow information and the road segment information of the target road segment includes:

comparing the target traffic flow information with a traffic threshold in a predetermined traffic threshold set to determine a target traffic condition of the target road section;

the traffic threshold set comprises a plurality of traffic thresholds respectively corresponding to different traffic conditions, the traffic thresholds are traffic flow thresholds, and the traffic flow thresholds are determined according to the road section length and the number of the lanes of the target road section.

determining the road occupancy rate according to the first traffic flow information and the driving area of the target road section;

comparing the road occupancy rate with a preset traffic threshold value in a traffic threshold value set to determine the target traffic condition of the target road section;

the traffic threshold set comprises a plurality of traffic thresholds respectively corresponding to different traffic conditions, and the traffic thresholds are occupancy rate thresholds.

Optionally, the set of traffic thresholds includes a first traffic threshold corresponding to an unobstructed traffic condition, a second traffic threshold corresponding to a normal traffic condition, and a third traffic threshold corresponding to a congested traffic condition, where the third traffic threshold is greater than the second traffic threshold, and the second traffic threshold is greater than the first traffic threshold.

Optionally, the determining the target traffic condition of the target road segment includes:

determining a target traffic threshold interval where target information is located, and determining the target traffic condition of the target road section according to the corresponding relation between the traffic threshold interval and the traffic condition, wherein the target information is the target traffic flow information or the road occupancy rate;

wherein, the correspondence between the traffic threshold interval and the traffic condition comprises: the method comprises the following steps that a first traffic threshold interval corresponds to a very unblocked traffic condition, a second traffic threshold interval corresponds to an unblocked traffic condition, a third traffic threshold interval corresponds to a normal traffic condition, a fourth traffic threshold interval corresponds to a congested traffic condition, a fifth traffic threshold interval corresponds to a very congested traffic condition, the first traffic threshold interval is smaller than a first traffic threshold, and the second traffic threshold interval is greater than or equal to the first traffic threshold and smaller than a second traffic threshold; a third traffic threshold interval is equal to the second traffic threshold; the fourth traffic threshold interval is greater than the second traffic threshold and equal to or less than the third traffic threshold; the fifth traffic threshold interval is greater than the third traffic threshold.

Optionally, the predefined correspondence between the traffic condition and the traffic regulation policy includes:

the very unblocked traffic condition corresponds to a first traffic regulation strategy, the unblocked traffic condition corresponds to a second traffic regulation strategy, and the normal traffic condition corresponds to a third traffic regulation strategy; the congested traffic condition corresponds to a fourth traffic regulation strategy; the very congested traffic condition corresponds to a fifth traffic regulation strategy;

the first traffic control strategy comprises reducing a traffic light in a target traffic direction by a first time length, the second traffic control strategy comprises reducing the traffic light by a second time length, the third traffic control strategy comprises keeping the time length of the traffic light unchanged, the fourth traffic control strategy comprises increasing the time length of the traffic light by a third time length, and the fifth traffic control strategy comprises increasing the time length of the traffic light by a fourth time length.

Optionally, the first time period is related to the target information and the first traffic threshold;

and/or the fourth duration is associated with the target information and the third traffic threshold.

In a second aspect, an embodiment of the present application provides a traffic control device, including:

the first acquisition module is used for acquiring first traffic flow monitoring information of a target road section;

the first determining module is used for determining first traffic flow information of the target road section according to the first traffic flow monitoring information;

the second determining module is used for determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information;

the third determining module is used for determining a target traffic regulation and control strategy corresponding to the target traffic condition based on the corresponding relation between the predefined traffic condition and the traffic regulation and control strategy;

and the adjusting module is used for adjusting the traffic signal lamp timing of the target road section by using the target traffic regulation and control strategy.

In a third aspect, an embodiment of the present application provides a traffic control device, including: a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor; the processor is configured to read a program in the memory to implement the steps in the traffic control method according to the first aspect.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a program is stored, and the program, when executed by a processor, implements the steps in the traffic control method according to the first aspect.

In the embodiment of the application, first traffic flow monitoring information of a target road section is obtained; determining first traffic flow information of the target road section according to the first traffic flow monitoring information; determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information; determining a target traffic regulation and control strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation and control strategy; and adjusting the traffic signal lamp timing of the target road section by using the target traffic regulation and control strategy. Therefore, the actual traffic condition of the road section can be accurately determined by combining the traffic flow information and the road section basic information of the target road section, and then the corresponding traffic regulation and control strategy is adopted to adjust the traffic signal lamp timing of the road section based on the actual traffic condition, so that the regulation and control effect is more in line with the actual traffic state of the road section, and the practicability is higher.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic flow chart of a traffic control method provided in an embodiment of the present application;

fig. 2 is a schematic road traffic flow diagram of a target road segment and an adjacent road segment set thereof at time t according to an embodiment of the present application;

FIG. 3 is a schematic traffic flow diagram for the target road segment and its neighboring set of road segments provided in FIG. 2 at time t + 1;

FIG. 4 is a schematic traffic flow diagram for the target road segment and its neighboring set of road segments provided in FIG. 2 at time t + 2;

fig. 5 is a schematic structural diagram of a traffic control device provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of a traffic control device provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram of a traffic control system according to an embodiment of the present application.

Detailed Description

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 some, but not all, embodiments of the present application. 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.

Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. As used in this application, the terms "first," "second," and the like, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships are changed accordingly.

As shown in fig. 1, fig. 1 is a schematic flow chart of a traffic control method provided in an embodiment of the present application, where the method includes:

step 101, first traffic flow monitoring information of a target road section is obtained.

It should be understood that the target road segment may be understood as any road, and the length of the target road segment is not limited herein. In a specific implementation, the target road section may be a partial road section of a certain road, which is close to a preset length provided with a traffic signal lamp.

It should be understood that the first traffic flow monitoring information may be understood as traffic flow monitoring information of the target road segment in a certain preset time period, where the length of the preset time period may be adjusted according to an actual situation, and the traffic flow monitoring information that is not in the preset time period may be considered as not belonging to the first traffic flow monitoring information.

It should be understood that, in the present embodiment, the method for acquiring the first vehicle flow rate monitoring information is not limited herein, and the form of the first vehicle flow rate monitoring information may also be different according to the different acquiring method. For example, in some embodiments, the first traffic monitoring information is a video stream, and the video stream may be acquired by a camera device disposed near the target road segment. In the embodiment, as most of the current road sections are provided with the camera devices, additional equipment is not required to be added, so that the cost is reduced, and the feasibility of the method is improved. In some embodiments, the video stream information may also be referred to as a video stream or video.

It should be appreciated that in other embodiments, the first traffic monitoring information is traffic information obtained by radar signal monitoring. In other embodiments, the first vehicle flow monitoring information is vehicle flow information obtained by monitoring passing vehicles through a gravity sensor. In other embodiments, the first traffic monitoring information is vehicle information obtained by receiving information autonomously reported by a vehicle.

It should be understood that, in a specific implementation, the first traffic flow information may be obtained by any one of the above manners, and may also be obtained by fusing or processing a plurality of pieces of traffic flow monitoring information obtained by the above manners.

And step 102, determining first vehicle flow information of the target road section according to the first vehicle flow monitoring information.

It should be understood that the method for determining the first traffic information of the target road segment is different according to the form of the first traffic monitoring information.

For example, in some embodiments, the first traffic monitoring information is a video stream. In this embodiment, the method for determining the first traffic volume of the target road segment according to the video stream is not limited herein. For example, in one embodiment, an existing object detection framework may be used for vehicle detection to determine the first traffic information for the object road segment. In this embodiment, the target detection framework may be a Region-based Convolutional neural network (RCNN), a Fast Region-based Convolutional neural network (Fast-RCNN), or a Faster Region-based Convolutional neural network (Fast-RCNN).

In another embodiment, the traffic flow may be calculated from the video stream. Specifically, the obtained video stream is subjected to framing operation, vehicles in each video frame are identified, and the traffic flow monitored by the video stream is calculated according to the time sequence. In another embodiment, a reference line may be set in the video stream, and the number of vehicles passing through the reference line may be calculated, so as to determine the first traffic volume of the target road segment. It should be understood that, in particular implementations, the first traffic monitoring information may include the first traffic information at a plurality of times, and the first traffic information at each time may be different. In some embodiments, the first traffic information may be traffic information at a certain time. In other embodiments, the first traffic information may be average traffic information over a length of time. Of course, the time length monitored by the first vehicle flow monitoring information may also be adjusted, so that the first vehicle flow information at multiple times is the same or similar.

Step 103, determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information.

It should be understood that the link information of the target link includes at least one of: the length of the target road section, the number of lanes of the target road section, the area of the target road section and the road grade of the target road section.

It should be appreciated that, in some embodiments, the target traffic information includes the first traffic information and statistical traffic information. The statistical traffic flow information may be obtained by processing the first traffic flow information.

It should be understood that, according to the target traffic flow information and the link information of the target link, determining the target traffic condition of the target link may be understood that, in the case that the target traffic flow information is the same, for different target links, due to different link information of the target link, the corresponding target traffic conditions may also be different.

It should be understood that the classification method of the target traffic condition may be preset. For example, in some embodiments, the target traffic conditions may be classified as very congested, normal, clear, and very clear. In other embodiments, the target traffic conditions may be classified as congested and uncongested. In other embodiments, the target traffic conditions may be classified as secondary congestion, primary congestion, normal, secondary unblocked, and primary unblocked.

It should be understood that, the specific method for determining the target traffic condition of the target road segment according to the target traffic information and the road segment information of the target road segment is not limited herein.

For example, optionally, in some embodiments, the step 103 includes:

the traffic threshold set comprises a plurality of traffic thresholds respectively corresponding to different traffic conditions, the traffic thresholds are traffic flow thresholds, and the traffic flow thresholds are determined according to the road section length and the number of lanes of the target road section.

It should be understood that the set of traffic thresholds includes a plurality of traffic thresholds respectively corresponding to different traffic conditions, and the traffic thresholds may be determined according to the link length and the number of lanes of the target link. Therefore, for different target road sections, the corresponding traffic threshold value sets are different due to the fact that the road section information of the target road sections is different.

It should be understood that the number of traffic thresholds in the set of traffic thresholds is not limited herein. The number of traffic conditions may vary according to the number of traffic thresholds. For example, in some embodiments, the number of traffic thresholds may be one, and by comparing the target traffic flow information to a traffic threshold in a predetermined set of traffic thresholds, a target traffic state may be determined to be a first state if the target traffic flow information is greater than the traffic threshold, a target traffic state may be determined to be a second state if the target traffic flow information is equal to the traffic threshold, and a target traffic state may be determined to be a third state if the target traffic flow information is less than the traffic threshold.

In this embodiment, the target traffic flow information is compared with a traffic threshold in a predetermined traffic threshold set to determine a target traffic condition of the target road segment. In the embodiment, the traffic condition can be efficiently judged by comparing the target traffic flow with the preset traffic threshold. Meanwhile, by increasing the number of the traffic thresholds, the classification of the traffic conditions can be more detailed, the actual traffic conditions of the road section can be accurately determined, and then the corresponding traffic regulation and control strategies can be adopted to adjust the timing of the traffic signal lamps of the road section based on the actual traffic conditions, so that the regulation and control effect is more consistent with the actual traffic state of the road section, and the practicability is higher.

Optionally, before the step 103, the method further includes:

acquiring second traffic monitoring information of an adjacent road section set, wherein the adjacent road section set comprises an adjacent road section set which is adjacent to the target road section and can drive into the target road section;

estimating second traffic information of the driving-in target road section according to the second traffic monitoring information;

the target traffic flow information further comprises the second traffic flow information.

It should be understood that the number of adjacent road segments in the set of adjacent road segments may be one or more. In the embodiment of the present application, the vehicle enters the target road segment from the adjacent road segments in the adjacent road segment set may be understood as the vehicle enters the target road segment from the adjacent road segments in the adjacent road segment set by going straight, turning left, turning right, or turning off. It should be understood that for any road segment, the road segment may be either the target road segment or the set of adjacent road segments belonging to another road segment.

It should be understood that the second traffic flow monitoring information may be understood as traffic flow monitoring information of adjacent road sections in the adjacent road section set in a preset time period, where the length of the preset time period may be adjusted according to an actual situation, and the traffic flow monitoring information that is not in the preset time period may be considered as not belonging to the second traffic flow monitoring information.

It should be understood that, in the present embodiment, the method for acquiring the second vehicle flow monitoring information is not limited herein, and the form of the second vehicle flow monitoring information may be different according to the different acquiring method. For example, in some embodiments, the second traffic monitoring information is a video stream, and the video stream may be acquired by a camera device disposed near a certain road segment in the adjacent road segment set. In the embodiment, as most of the current road sections are provided with the camera devices, additional equipment is not required to be added, so that the cost is reduced, and the feasibility of the method is improved.

It should be understood that in other embodiments, the second traffic monitoring information is traffic obtained by radar signal monitoring. In other embodiments, the second traffic monitoring information is traffic obtained by monitoring passing vehicles through a gravity sensor. In some other embodiments, the second traffic monitoring information is vehicle information obtained by receiving information autonomously reported by a vehicle.

It should be understood that, in a specific implementation, the second traffic information may be obtained by any one of the manners, and may also be obtained by fusing or processing the traffic monitoring information obtained by a plurality of manners.

It should be understood that the target traffic information further includes the second traffic information may be understood that the target traffic information includes the first traffic information and the second traffic information. In some embodiments, the target traffic information further includes statistics of the first traffic information and the second traffic information. For example, the target vehicle flow information further includes a sum of the first vehicle flow information and the second vehicle flow information.

In this embodiment, the method further includes obtaining second traffic monitoring information of the adjacent road segment set, and predicting second traffic information of the target road segment according to the second traffic monitoring information. In this embodiment, the traffic flow information of the target road section after a period of time in the future can be obtained through the second traffic flow information, so that the estimated traffic condition after a period of time in the future can be obtained in advance, and the timing of the signal lamp can be correspondingly adjusted. When a certain road section has more vehicles, the number of vehicles on the road section which the vehicles enter can be estimated to be increased, so that the method provided by the embodiment can judge the traffic flow information in an area in advance, so that the area is integrally regulated and controlled, and the traffic regulation and control effect is further improved.

It should be understood that, in the using process, according to the traffic flow statistics and the road occupancy of the adjacent road sections in the adjacent road section set, the congestion condition of the adjacent road sections in the adjacent road section set can be judged, if a small-range congestion occurs, the signal lamp of the current intersection is adjusted, the vehicle passing time of the current intersection is increased, the traffic is dredged in time, and the situation of traffic congestion of the whole road section is avoided. And if the large-scale congestion occurs, adjusting the intersection signal lamp corresponding to the target road section to prevent the congestion of the target road section. And if the current road section is seriously congested, giving an alarm and informing a traffic management department to dispatch traffic management personnel for traffic dispersion.

It should be understood that the specific method for estimating the second traffic information entering the target road section according to the second traffic monitoring information is not limited herein.

For example, optionally, in an embodiment, the predicting second traffic information entering the target road segment according to the second traffic monitoring information includes:

determining the driving tracks of the running vehicles on the adjacent road sections in the adjacent road section set according to the second traffic monitoring information;

It should be understood that, according to the second vehicle flow monitoring information, determining the driving tracks of the vehicles running on the adjacent road sections in the adjacent road section set may be understood as performing vehicle tracking on the adjacent road sections in the adjacent road section set by using DeepSORT to obtain the track of each vehicle, performing track distribution according to the similarity between the preset track and the track of the vehicle, and further performing statistics on the second vehicle flow information. Specifically, the preset trajectory is a set of vehicle trajectories { T } detected for any road segment over a period of time ₁ ，T ₂ ，T ₃ ，…，T _n Clustering is carried out by adopting a DBScan algorithm, the clustering result of the previous step is calculated, an average track is found in each cluster to represent the whole information of the tracks in the whole cluster, and a typical track set { T ] of the current road section is obtained _left ，T _straight ，T _right }. Wherein, T _i The method is used for representing the running track of the ith vehicle, wherein i is more than or equal to 1 and less than or equal to n. The T is _left For indicating the trajectory of a left-turning vehicle, said T _straight For representing the trajectory of a straight-running vehicle, said T _right For indicating the travel track of a right-turn vehicle. Calculate each T separately _i And T _left 、T _straight 、T _right Target distance between, then T _i Is assigned to T _left 、T _straight 、T _right Among the clusters of trajectories whose target distance is the smallest. Wherein, in some embodiments, the target distance may be a Hausdorff distance. E.g. T _i And T _left The distance between the two is minimum, then T is determined _i Is assigned to T _left In a track cluster.

For any one of the road segments in the adjacent road segment set, if the target road segment can be entered by the left-turn driving of the vehicle of the road segment, the road segment T is divided into two adjacent road segments _left T in the track cluster of _i And recording the second traffic information. In the case that the right-turn driving of the vehicle of the road section can enter the target road section, the road section T is put into _right T in the track cluster of _i Recording as the second vehicle flow information. In the case that the vehicle of the road section can go straight to enter the target road section, the road section T is put into _straight T in the track cluster of _i And recording the second traffic information.

It should be understood that the second traffic information is an estimated time length t _y And the traffic flow of the target road section. In particular implementations, when t _y If the value of (2) is larger, the statistical ranges of the first vehicle flow information and the second vehicle flow information may overlap. Therefore, in some embodiments, the target traffic information may be a portion of the first traffic information and the second traffic information that is not overlapped. Of course, the target traffic information may also be the sum of the first traffic information and the second traffic information. In particular implementation, the t _y The value of (a) can be selected according to actual requirements.

In this embodiment, first, according to the second traffic monitoring information, the driving tracks of the vehicles running on the adjacent road sections in the adjacent road section set are determined; and estimating second vehicle flow information of the driving vehicle to the target road section according to the driving track of the driving vehicle on each adjacent road section. The second traffic flow is determined according to the traffic track of the vehicle, the accuracy of the second traffic flow information can be improved, and meanwhile the real-time traffic conditions of the target road section and the adjacent road section set are mastered.

Optionally, in other embodiments, the determining the target traffic condition of the target road segment according to the target traffic flow information and the road segment information of the target road segment includes:

It should be understood that the set of traffic thresholds includes a plurality of traffic thresholds respectively corresponding to different traffic conditions, and the traffic thresholds are occupancy thresholds. For different target road sections, the corresponding traffic threshold value sets are different due to different road section information of the target road sections.

It should be understood that the number of traffic thresholds in the set of traffic thresholds is not limited herein. The number of traffic conditions may vary according to the number of traffic thresholds.

It should be understood that, the specific method for determining the road occupancy according to the first traffic information and the driving area of the target road section is not limited herein. For example, in an embodiment, determining the road occupancy according to the first traffic information and the driving area of the target road section may be understood as:

firstly, vehicle detection results of the road section within a period of time are obtained, the detection results of each frame are weighted and superposed to the corresponding positions, and a frequency map of the vehicle at the global position is obtained. Then, after the whole image is normalized, binarization is performed to obtain a traffic flow segmentation map (right side). Some connected areas in the middle map are vehicles beside a parking lot or a house, small areas are eliminated through filtering, and finally connected roads are obtained. For convenience of description, the road occupancy rate is recorded as R, the image length of the previous frame is recorded as H, and the image width of the previous frame is recorded as W; the travelable region detection result is a matrix with a value of H × W of 0 or 1, where 1 represents a road region, 0 represents a non-road region, and the detection result is denoted as mat. From this, the road occupancy can be calculated:

then, the road occupancy may be calculated from the acquired vehicle detection result.According to the detected area of the vehicle, the area of the road surface occupied by the vehicle detection frame can be calculated, so that the road surface occupancy rate can be calculated. Is { box } box ₁ ，box ₂ ，……，box _n In this embodiment, box _n The coordinate of vehicle detection and the size information of detection frame { x _n ，y _n ，h _n ，w _n }。

In the embodiment, the road occupancy is compared with the traffic threshold in the predetermined traffic threshold set, and the target traffic condition of the target road segment is determined. In the present embodiment, the traffic condition can be efficiently determined by comparing the road occupancy with a traffic threshold value set in advance. Meanwhile, by increasing the number of the traffic thresholds, the classification of the traffic conditions can be more detailed, the actual traffic conditions of the road section can be accurately determined, and then the corresponding traffic regulation and control strategies can be adopted to adjust the timing of the traffic signal lamps of the road section based on the actual traffic conditions, so that the regulation and control effect is more consistent with the actual traffic state of the road section, and the practicability is higher.

Optionally, the set of traffic thresholds includes a first traffic threshold corresponding to a clear traffic condition, a second traffic threshold corresponding to a normal traffic condition, and a third traffic threshold corresponding to a congested traffic condition, where the third traffic threshold is greater than the second traffic threshold, and the second traffic threshold is greater than the first traffic threshold.

It should be understood that specific values of the first, second and third traffic thresholds are not limited herein, and the difference between the third traffic threshold and the second traffic threshold may be the same as or different from the difference between the second traffic threshold and the first traffic threshold.

It should be understood that the specific correspondence of the first traffic threshold to the clear traffic condition is not limited thereto. For example, in some embodiments, a first traffic threshold corresponding to a clear traffic condition may be understood as determining the traffic condition as a clear traffic condition if the target information is greater than the first traffic threshold. In other embodiments, the first traffic threshold corresponding to a clear traffic condition may be understood as determining the traffic condition as a clear traffic condition if the target information is equal to the first traffic threshold. In other embodiments, the first traffic threshold corresponding to a clear traffic condition may be understood as determining the traffic condition as a clear traffic condition if the target information is greater than the first traffic threshold.

It should be understood that the specific correspondence between the second traffic threshold and the normal traffic condition is not limited thereto. For example, in some embodiments, the second traffic threshold corresponding to normal traffic conditions may be understood as determining the traffic conditions as normal traffic conditions if the target information is greater than the second traffic threshold. In other embodiments, the second traffic threshold corresponding to normal traffic conditions may be understood as determining the traffic conditions as normal traffic conditions if the target information is equal to the second traffic threshold. In other embodiments, the second traffic threshold corresponding to normal traffic conditions may be understood as determining the traffic conditions as normal traffic conditions if the target information is greater than the second traffic threshold.

It should be understood that the specific correspondence between the third traffic threshold and the congested traffic condition is not limited herein. For example, in some embodiments, the third traffic threshold corresponding to congested traffic conditions may be understood as determining the traffic conditions as congested traffic conditions if the target information is greater than the third traffic threshold. In other embodiments, the third traffic threshold corresponding to congested traffic conditions may be understood as determining the traffic conditions as congested traffic conditions if the target information is equal to the third traffic threshold. In other embodiments, the third traffic threshold corresponding to congested traffic conditions may be understood as determining the traffic conditions as congested traffic conditions if the target information is greater than the third traffic threshold.

One specific embodiment will be exemplified belowThe correspondence between the traffic thresholds in the traffic threshold set and the traffic conditions is explained. Specifically, as shown in the following table, for convenience of description, the target traffic flow information is denoted by C, and the corresponding first traffic threshold is denoted by r ₁ Said second traffic threshold value is denoted as r ₂ Said third traffic threshold is denoted as r ₃ 。

TABLE 1 correspondence table of values of target traffic flow information and three traffic conditions

C	C＜r ₁	C＝r ₂	C＞r ₃
				Traffic situation	Clear	Is normal and normal	Congestion

In this embodiment, the traffic conditions are classified into clear traffic conditions, normal traffic conditions, and congested traffic conditions by the traffic thresholds in the threshold set of the traffic threshold set. Therefore, different traffic control strategies can be generated under the conditions that the target road section is smooth, normal and congested, so that different traffic control strategies are executed according to different traffic conditions, and the flexibility and pertinence of traffic control are improved.

wherein, the correspondence between the traffic threshold interval and the traffic condition comprises: the method comprises the following steps that a first traffic threshold interval corresponds to a very unblocked traffic condition, a second traffic threshold interval corresponds to an unblocked traffic condition, a third traffic threshold interval corresponds to a normal traffic condition, a fourth traffic threshold interval corresponds to a congested traffic condition, a fifth traffic threshold interval corresponds to a very congested traffic condition, the first traffic threshold interval is smaller than a first traffic threshold, and the second traffic threshold interval is greater than or equal to the first traffic threshold and smaller than a second traffic threshold; a third traffic threshold interval is equal to the second traffic threshold; the fourth traffic threshold interval is greater than the second traffic threshold and less than or equal to the third traffic threshold; the fifth traffic threshold interval is greater than the third traffic threshold.

It should be understood that, in the case where the target information is the target traffic information, the traffic threshold interval and the traffic condition may be as follows:

table 2 correspondence table of values of target traffic flow information and five traffic states

C	C＜r ₁	r ₁ ≤C＜r ₂	C＝r ₂	r ₂ ＜C≤r ₃	C＞r ₃
						Traffic situation	Is very unblocked	Clear	Is normal	Congestion	Very congested traffic

It should be understood that, in the case that the target information is the road occupancy, the traffic threshold interval and the traffic condition may be shown in the following table, wherein, for convenience of description, the road occupancy is denoted as R, and the corresponding first traffic threshold is denoted as c ₁ Said second traffic threshold value is denoted c ₂ Said third traffic threshold value is denoted c ₃ 。

TABLE 3 corresponding table of values of road occupancy and five traffic conditions

R	R＜c ₁	c ₁ ≤R＜c ₂	R＝c ₂	c ₂ ＜R≤c ₃	R＞c ₃
						Traffic situation	Is very unblocked	Clear	Is normal	Congestion	Very congested traffic

It should be understood that, in the case where the target information is the target traffic flow information, the values of the first, second and third traffic thresholds may be the same or different from those in the case where the target information is the road occupancy.

Optionally, in some embodiments, the target information is the target traffic information and the road occupancy. In this embodiment, the specific method for determining the target traffic condition of the target road segment is not limited herein. For example, in some embodiments, the target information may be determined to be either the target traffic information or the occupancy. In other embodiments, the corresponding traffic states may be determined according to the target traffic flow information and the road occupancy, and then the two traffic states may be subjected to fusion processing.

Of course, in some embodiments, the traffic regulation strategy in the case where the target information is calculated as the target traffic flow information and the road occupancy may also be determined. In the first case, the traffic control strategy with long adjustment time of the two traffic control strategies may be determined as the final target traffic control strategy. In the second case, the traffic regulation and control strategy with the adjusted time length in the two traffic regulation and control strategies may be determined as the final target traffic regulation and control strategy. In a third case, the adjustment duration in the two traffic control strategies may be subjected to weighted summation to obtain the final target traffic control strategy.

In this embodiment, the traffic state is classified into a very clear traffic condition, a normal traffic condition, a very congested traffic condition, and a congested traffic condition. In the embodiment, the traffic state is divided in more detail, so that the flexibility and pertinence of traffic regulation are further improved.

And 104, determining a target traffic regulation and control strategy corresponding to the target traffic condition based on the predefined corresponding relation between the traffic condition and the traffic regulation and control strategy.

It should be understood that the correspondence between traffic conditions and traffic regulation strategies is predefined. For example, in some embodiments, in the case of relatively clear traffic, the time that the traffic signal lamp is in the green state may be shortened, thereby prolonging the vehicle transit time to relieve the traffic jam pressure. In other embodiments, in the case of more open traffic, the time ratio of the traffic signal lamp in the green state can be reduced, so as to prolong the time of vehicle passing in one traffic signal lamp period to relieve the jam pressure of the traffic. In other embodiments, in the case of a relatively congested traffic, the time of the traffic signal lamp being in the green state can be prolonged, so that the vehicle passing time can be prolonged, and the traffic jam pressure can be relieved. In other embodiments, in the case of a congested traffic, the time ratio of the traffic signal lamp in the green state may be increased, so as to prolong the time of vehicle passing in one traffic signal lamp period to relieve the congestion pressure of the traffic.

It should be understood that the predefined correspondence between traffic conditions and traffic control strategies is not limited herein.

For example, optionally, in an embodiment, the predefined correspondence between the traffic condition and the traffic regulation policy includes:

the very congested traffic condition corresponds to a first traffic control strategy, the congested traffic condition corresponds to a second traffic control strategy, and the normal traffic condition corresponds to a third traffic control strategy; the congested traffic condition corresponds to a fourth traffic regulation strategy; the very congested traffic condition corresponds to a fifth traffic regulation strategy;

It should be understood that the lengths of the first, second, third and fourth time periods are not limited herein, and the difference between any two of the first, second, third and fourth time periods is not limited herein.

In this embodiment, the defined traffic conditions have five types, so five types of traffic control strategies are determined for the five types of traffic conditions, and the adjustment mode and the time increase amplitude of the traffic signal lamp time length by each traffic control strategy are different. Therefore, the method provided by the embodiment can improve the relevance between the traffic regulation strategy and the traffic condition and improve the traffic regulation effect.

Optionally, the first duration is related to the target information and the first traffic threshold;

and/or, the fourth duration is related to the target information and the third traffic threshold.

It should be understood that the manner in which the first duration is associated with the target information and the first traffic threshold is not limited herein. For example, in some embodiments, the first duration is proportionally related to the first traffic threshold.

It should be understood that the manner in which the fourth time is associated with the target information and the third traffic threshold is not limited herein. For example, in some embodiments, the fourth duration is proportionally related to the third traffic threshold.

In the following, a specific embodiment will be taken as an example, and for convenience of description, the unit time of timing modification is denoted as t ₃ Recording the value of the target information as CR, and recording the first traffic threshold as r _1’ Said second traffic threshold is denoted as r _2’ Said third traffic threshold value is denoted as r _3’ . And the corresponding traffic threshold value is different according to different target information.

It should be understood that, in the present embodiment, the increase period t in the green light state is calculated for convenience ₄ The timing modification unit time is set, and the size of the timing modification unit time can be adjusted according to actual requirements.

The corresponding relationship between the value of the target information and the traffic condition and the increased time length of the signal lamp in the green state is shown in the following table.

TABLE 4 correspondence table of values of target information and five traffic conditions and green light state increase duration

It should be understood that, in the present embodiment, the time period during which the signal lamp is in the green state is increased to a negative number in the very clear traffic condition and the clear traffic condition, and it is considered that the time period during which the signal lamp is in the green state should be shortened at this time.

In this embodiment, the first time period may be adjusted by a difference in the first traffic threshold, and/or the third time period may be adjusted according to a difference in the third traffic threshold. Due to the arrangement, the scientificity of the arrangement when the green light state is increased is improved, the increase time is more adaptive to the actual traffic state, the regulation and control effect is more accordant with the actual traffic state of the road section, and the practicability is higher.

And 105, adjusting the traffic signal lamp timing of the target road section by using the target traffic regulation and control strategy.

It should be understood that, by adjusting the timing of the traffic light of the target road segment using the target traffic control strategy, it may be understood that the time length of the traffic light in one or more states is extended or shortened according to the target traffic control strategy.

It should be understood that the specific manner of adjusting the traffic signal timing of the target road segment using the target traffic control strategy is not limited herein. For example, in an embodiment, the adjusting the traffic signal light timing of the target road segment by using the target traffic regulation and control strategy specifically includes: and sending the target traffic regulation and control strategy to a control device of the signal lamp, and controlling the timing of the signal lamp through the control device.

In the embodiment of the application, first traffic flow monitoring information of a target road section is obtained; determining first traffic flow information of the target road section according to the first traffic flow monitoring information; determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information; determining a target traffic regulation and control strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation and control strategy; and adjusting the traffic signal lamp timing of the target road section by using the target traffic regulation and control strategy. Therefore, by combining the traffic flow information and the basic information of the target road section, the actual traffic condition of the road section can be accurately determined, and then the corresponding traffic regulation and control strategy can be adopted to regulate the timing of the traffic signal lamp of the road section based on the actual traffic condition, so that the regulation and control effect is more consistent with the actual traffic state of the road section, and the practicability is higher. Meanwhile, the method provided by the application can determine the corresponding traffic regulation and control strategy according to the target traffic flow information without manual intervention, and adjusts the timing of the signal lamp. In addition, the method can be applied to a traffic control device, wherein the control device can be a terminal edge cloud cooperation system.

A specific flow of the traffic control method will be described below by taking a specific embodiment as an example. As shown in fig. 2 to 4, fig. 2 is a schematic road traffic flow diagram of a target road segment and an adjacent road segment set thereof at time t according to an embodiment of the present application; FIG. 3 is a schematic traffic flow diagram for the target road segment and its neighboring set of road segments provided in FIG. 2 at time t + 1; fig. 4 is a road traffic flow diagram of the target road segment and its neighboring road segment set provided in fig. 2 at time t +2, wherein vehicle 1, vehicle 2, and vehicle 3 are all located on road segment a (not shown in fig. 4) in fig. 4.

In this embodiment, four road segments are provided near a certain intersection, and for convenience of description, the four road segments are respectively denoted as a road segment a, a road segment B, a road segment C, and a road segment D. In this embodiment, the road segment a may be understood as the target road segment, and the road segment B, the road segment C, and the road segment D may be understood as the set of adjacent road segments of the road segment a.

The image pickup device a is provided near a traffic light of the road section a, and the image pickup device B, the image pickup device C, and the image pickup device D are provided near a traffic light (not shown) near an intersection, respectively.

The camera devices arranged on the road section a, the road section B, the road section C and the road section D can be used for acquiring traffic flow monitoring information of corresponding road sections, and in this embodiment, the traffic flow monitoring information is video stream information acquired by a camera.

First, a first video collected by a camera device arranged on a road section A is received, and vehicle detection is carried out on a second video by using fast-RCNN. Meanwhile, second videos collected by the camera devices arranged on the road section B, the road section C and the road section D are received. And detecting vehicles in the first video and the second video by using fast-RCNN, tracking the vehicles in the second video by using DeepsORT, and obtaining a predicted track corresponding to each vehicle on the road section B, the road section C and the road section D according to the vehicle tracking result, wherein in the figure, an arrow near each vehicle is used for representing the predicted track corresponding to the current vehicle.

According to the vehicle detection result, the vehicle 1, the vehicle 2 and the vehicle 3 are included on the road section A; includes a vehicle 4 on a road segment B; vehicle 5 and vehicle 6 are included on road segment C; on the road section D, the vehicle 7 and the vehicle 8 are included.

From the vehicle tracking results, the

vehicles

4, 5, 6, 7, and 8 will travel into the section a according to the predicted trajectories.

In this embodiment, at the time t, the first vehicle flow information of the link a is 3, at the time t +1, the second vehicle flow information of the link a is 3, and at the time t +2, the second vehicle flow information of the link a is 5, so that it is obtained that the first vehicle flow information of the link a is 3. Under the condition that the statistical time range is 3 seconds, the second vehicle flow information of the road section A is 5, the target vehicle flow information of the road section A is the sum of the first vehicle flow and the second vehicle flow, namely the target vehicle flow information of the road section A is 8, and a signal timing scheme of a signal lamp corresponding to the road section A is generated according to the target vehicle flow information of the road section A.

In the present embodiment, the preset link information of the link a is shown in the following table:

TABLE 5 road segment information attribute table preset for road segment A

Properties	t ₁ (s)	r ₁	r ₂	r ₃	t ₂ (s)	t ₃ (s)
							Attribute value	3	2	4	6	5	3

In this embodiment, the statistical time range is denoted as t ₁ Said first traffic threshold value is denoted as r ₁ Said second traffic threshold value is denoted as r ₂ Said third traffic threshold value is denoted as r ₃ And the original green light time is recorded as t ₂ The unit time of the timing modification is recorded as t ₃ 。

It should be appreciated that in the event that the traffic flow is greater than or equal to the first traffic threshold, the road segment may be considered to be clear at this time, and the time fraction of the signal light being in the green state may be reduced. And when the traffic flow is greater than or equal to the second traffic threshold, the road section is considered to be in a normal condition at the moment, and the signal timing scheme of the signal lamp does not need to be adjusted. When the traffic flow is greater than or equal to the third traffic threshold, it may be considered that the road section is in a congestion state at this time, and the time ratio of the signal lamp being in the green state may be increased.

It should be understood that the values of the first, second and third traffic thresholds may be calculated according to the length of the road section a, the number of lanes, the length and distance of the vehicle, and the like. For convenience of description, the length of the link a is denoted as L, the number of lanes is denoted as M, the length of the vehicle is denoted as Y, and the inter-vehicle distance is denoted as J. In the present embodiment, the length L of the road segment a is 500 meters, the number M of lanes is 3, and the length Y of the vehicle is 3 meters.

And when the traffic flow is larger than or equal to the first traffic threshold, the road section A is relatively smooth, the vehicle can randomly change lanes at the moment, and the distance between the vehicles can be considered to be larger than 8 meters. Therefore, in this case, the number of vehicles K that can appear on the link a ₁ The following were used:

from the above, K ₁ Is 45, the first traffic threshold may be set to 40 to 50 in this embodiment.

And under the condition that the traffic flow is greater than or equal to the second traffic threshold, the road section A is in a normal condition, and the distance between the vehicles can be considered to be 3 meters. Therefore, in this case, the number of vehicles K that can appear on the link a ₂ The following were used:

from the above, K ₂ Is 250, the second traffic threshold may be set to 200 in this embodiment.

In the case where the traffic flow is greater than or equal to the third traffic threshold, the section a is in a congestion condition, and it may be considered that the vehicles are closely arranged. Therefore, in this case, the number of vehicles K that can appear on the link a ₃ The following were used:

from the above, K ₃ Is 500, the third traffic threshold may be set to 450 in this embodiment.

In this embodiment, the target traffic flow information of the road segment a is 8, that is, the traffic flow of the road segment a is greater than the third traffic threshold, at this time, it may be understood that the road segment a is in a relatively congested condition, and the time ratio that the signal lamp is in the green light state may be increased to alleviate the congestion condition of the road segment a. In the present embodiment, the green state is increased for a time period t ₄ The following were used:

in the present embodiment, L is used to represent the fourth vehicle flow rate; said r ₃ For representing the third traffic threshold. The time length of the signal lamp in the green state after adjustment is t of the original green state ₂ And increasing the duration t ₄ And (4) summing. For example, when the original green time period of the road a signal lamp is 5 seconds, the adjusted green time period of the signal lamp is 9 seconds.

It should be understood that the increased duration in the green state is typically less than 60 seconds, and similarly, the shortened duration in the green state is typically less than 60 seconds. In some embodiments, the original green light duration is about 90 seconds, and the time unit for timing modification may be set to be between 10 seconds and 20 seconds.

As shown in fig. 5, fig. 5 is a schematic structural diagram of a traffic control device provided in an embodiment of the present application, where the traffic control device 500 includes:

a first obtaining module 501, configured to obtain first traffic monitoring information of a target road segment;

a first determining module 502, configured to determine first traffic flow information of the target road segment according to the first traffic flow monitoring information;

a second determining module 503, configured to determine a target traffic condition of the target road segment according to target traffic flow information and road segment information of the target road segment, where the target traffic flow information includes the first traffic flow information;

a third determining module 504, configured to determine a target traffic control policy corresponding to a target traffic condition based on a predefined correspondence between the traffic condition and the traffic control policy;

and an adjusting module 505, configured to adjust the traffic signal timing of the target road segment by using the target traffic regulation and control policy.

Optionally, the traffic control device 500 further comprises:

the second acquisition module is used for acquiring second traffic monitoring information of an adjacent road section set, wherein the adjacent road section set comprises an adjacent road section set which is adjacent to the target road section and can drive into the target road section;

the estimation module is used for estimating second traffic information of the target road section according to the second traffic monitoring information;

Optionally, the second determining module 503 includes:

the first determining unit is used for comparing the target traffic flow information with a traffic threshold value in a predetermined traffic threshold value set to determine a target traffic condition of the target road section;

Optionally, the second determining module 503 further includes:

the second determining unit is used for determining the road occupancy rate according to the first traffic flow information and the driving area of the target road section;

the third determining unit is used for comparing the road occupancy rate with a traffic threshold value in a preset traffic threshold value set to determine the target traffic condition of the target road section;

Optionally, the traffic threshold set includes a first traffic threshold corresponding to a congested traffic condition, a second traffic threshold corresponding to a normal traffic condition, and a third traffic threshold corresponding to a congested traffic condition, where the third traffic threshold is greater than the second traffic threshold, and the second traffic threshold is greater than the first traffic threshold.

the correspondence between the traffic threshold interval and the traffic condition includes: the method comprises the following steps that a first traffic threshold interval corresponds to a very unblocked traffic condition, a second traffic threshold interval corresponds to an unblocked traffic condition, a third traffic threshold interval corresponds to a normal traffic condition, a fourth traffic threshold interval corresponds to a congested traffic condition, a fifth traffic threshold interval corresponds to a very congested traffic condition, the first traffic threshold interval is smaller than a first traffic threshold, and the second traffic threshold interval is greater than or equal to the first traffic threshold and smaller than a second traffic threshold; a third traffic threshold interval is equal to the second traffic threshold; the fourth traffic threshold interval is greater than the second traffic threshold and less than or equal to the third traffic threshold; the fifth traffic threshold interval is greater than the third traffic threshold.

the very congested traffic condition corresponds to a first traffic control strategy, the congested traffic condition corresponds to a second traffic control strategy, and the normal traffic condition corresponds to a third traffic control strategy; the congested traffic condition corresponds to a fourth traffic regulation strategy; the very congested traffic conditions correspond to a fifth traffic control strategy;

The traffic control device 500 provided in the embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 1, and can obtain the same beneficial effects, and for avoiding repetition, the details are not repeated here.

The embodiment of the application further provides traffic control equipment. Because the principle of solving the problem of the traffic control device is similar to the traffic control method in the embodiment of the application, the implementation of the traffic control device can be referred to the implementation of the method, and repeated details are not repeated. As shown in fig. 6, the traffic control device according to the embodiment of the present application includes: the processor 600, which is used to read the program in the memory 620, executes the following processes:

acquiring first traffic flow monitoring information of a target road section;

determining a target traffic regulation strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation strategy;

and adjusting the traffic signal lamp timing of the target road section by using the target traffic regulation and control strategy.

Where in fig. 6, the bus architecture may include any number of interconnected buses and bridges, with various circuits being linked together, particularly one or more processors represented by processor 600 and memory represented by memory 620. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 610 may be a number of elements including a transmitter and a transceiver providing a means for communicating with various other apparatus over a transmission medium. The processor 600 is responsible for managing the bus architecture and general processing, and the memory 620 may store data used by the processor 600 in performing operations.

Optionally, the processor 600 is further configured to read the program in the memory 620, and execute the following steps:

estimating second traffic information of the driving-in target road section according to the second traffic monitoring information; the target traffic flow information further comprises the second traffic flow information.

The traffic control device provided by the embodiment of the application can execute the method embodiment, the implementation principle and the technical effect are similar, and the embodiment is not described herein again.

It should be noted that the traffic control device in the embodiment of the present application includes the mobile traffic control device and the non-mobile traffic control device described above.

Optionally, the embodiment of the application further provides a traffic control system. Fig. 7 is a schematic structural diagram of a traffic control system according to an embodiment of the present application. In fig. 7, it can be considered that the link G is an adjacent link to the link E, the link F, and the link H at the same time. The road segment E, the road segment F, and the road segment H can be regarded as the target road segment. In fig. 7, the road section G is provided with a corresponding video capture device G, and in an actual use process, the road section E, the road section F, and the road section H all obtain the corresponding first traffic flow information through the corresponding video capture devices (not shown in fig. 7).

As shown in fig. 7, the embodiment of the present application further provides a traffic control system, where the traffic control system includes a video acquisition device, a video signal processing device, a signal transmission device, and a signal control device;

the video acquisition equipment is used for acquiring first traffic flow monitoring information of a target road section and sending the first traffic flow monitoring information to the video signal processing equipment; the video signal processing equipment is used for receiving the first traffic monitoring information; determining first traffic flow information of the target road section according to the first traffic flow monitoring information; determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information; determining a target traffic regulation and control strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation and control strategy; the signal transmission equipment is used for transmitting the target traffic regulation and control strategy to the signal control equipment; the signal control equipment is used for adjusting the timing of the traffic signal lamp of the target road section by using the target traffic regulation and control strategy.

Optionally, in some embodiments, the traffic control system further includes a regional signal processing center, and the video capture device is configured to obtain second vehicle flow monitoring information of an adjacent road segment set, where the adjacent road segment set includes an adjacent road segment set that is adjacent to the target road segment and can drive into the target road segment; sending the second traffic monitoring information to the video signal processing equipment; the video signal processing equipment is used for receiving the second traffic monitoring information; estimating second vehicle flow information of the target road section according to the second vehicle flow monitoring information; the target traffic flow information further comprises the second traffic flow information; sending the target traffic flow information to the regional signal processing center; the regional signal processing center is used for determining a target traffic condition of the target road section according to target traffic flow information and road section information of the target road section, wherein the target traffic flow information comprises the first traffic flow information and the second traffic flow information; determining a target traffic regulation strategy corresponding to the target traffic condition based on a predefined corresponding relation between the traffic condition and the traffic regulation strategy; and transmitting the target traffic control strategy to the signal control equipment.

An embodiment of the present application further provides a computer-readable storage medium, where a program or an instruction is stored on the computer-readable storage medium, and when the program or the instruction is executed by a processor, the process of the method embodiment shown in fig. 1 is implemented, and the same technical effect can be achieved, and in order to avoid repetition, details are not repeated here.

Wherein, the processor is the processor in the traffic control device in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. A traffic control method, comprising:

acquiring first traffic flow monitoring information of a target road section;

2. The method of claim 1, wherein before determining the target traffic condition for the target road segment based on the target traffic flow information and the link information for the target road segment, the method further comprises:

3. The method according to claim 2, wherein predicting second traffic information for driving into the target road segment based on the second traffic monitoring information comprises:

4. The method of claim 1, wherein determining the target traffic condition of the target road segment according to the target traffic information and the link information of the target road segment comprises:

5. The method of claim 1, wherein determining the target traffic condition of the target road segment according to the target traffic information and the link information of the target road segment comprises:

comparing the road occupancy rate with a preset traffic threshold value in a traffic threshold value set to determine a target traffic condition of the target road section;

the traffic threshold set comprises a plurality of traffic thresholds respectively corresponding to different traffic conditions, and the traffic thresholds are road occupancy thresholds.

6. The method of claim 4 or 5, wherein the set of traffic thresholds includes a first traffic threshold corresponding to clear traffic conditions, a second traffic threshold corresponding to normal traffic conditions, and a third traffic threshold corresponding to congested traffic conditions, the third traffic threshold being greater than the second traffic threshold, the second traffic threshold being greater than the first traffic threshold.

7. The method of claim 6, wherein the determining the target traffic condition for the target road segment comprises:

determining a target traffic threshold interval where target information is located, and determining a target traffic condition of the target road section according to a corresponding relation between the traffic threshold interval and the traffic condition, wherein the target information is the target traffic flow information or the road occupancy rate;

8. The method of claim 7, wherein the predefined correspondence of traffic conditions to traffic regulation strategies comprises:

9. The method of claim 8, wherein the first time period is related to the target information and the first traffic threshold;

10. A traffic control device, comprising:

11. A traffic regulating device comprising: a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor; characterized in that the processor is configured to read a program in the memory to implement the steps in the traffic control method according to any one of claims 1 to 9.

12. A readable storage medium, characterized in that the readable storage medium has stored thereon a program which, when executed by a processor, implements the steps in the traffic control method according to any one of claims 1 to 9.