CN117994993A

CN117994993A - Road intersection traffic light control method, system, electronic equipment and storage medium

Info

Publication number: CN117994993A
Application number: CN202410394019.2A
Authority: CN
Inventors: 魏云波; 林梦; 鲁浩; 万军; 尹正文; 杨雄兵; 余继慧; 曹瑞恒; 杨灿; 刘若慨
Original assignee: PowerChina Kunming Engineering Corp Ltd
Current assignee: PowerChina Kunming Engineering Corp Ltd
Priority date: 2024-04-02
Filing date: 2024-04-02
Publication date: 2024-05-07
Anticipated expiration: 2044-04-02

Abstract

The invention belongs to the technical field of road traffic signal control, and discloses a method, a system, electronic equipment and a storage medium for controlling traffic lights at a highway intersection, wherein the method comprises the steps of confirming a branch monitoring area of a current traffic light intersection, communicating a controller of the current traffic light with an infrared scanning camera, and sending a pedestrian and/or vehicle identification result to the controller; the controller judges the identification result of pedestrians and/or vehicles, outputs the number of pedestrians and/or vehicles, compares the number of pedestrians and/or vehicles with a preset number threshold, starts a corresponding traffic light control mode of the current traffic light intersection according to the comparison result, and monitors the traffic light control mode; and the controller realizes the adjustment of the traffic light control mode of the current traffic light intersection according to the first result and/or the second result. The system comprises an infrared scanning program presetting module, a quantity identification judging module and a result judging and adjusting module. Real-time monitoring and recognition of the pedestrians and vehicles on the branch are realized.

Description

Road intersection traffic light control method, system, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of road traffic signal control, in particular to a method, a system, electronic equipment and a storage medium for controlling traffic lights at a highway intersection.

Background

Road traffic refers to traffic activities performed on roads, including transportation and movement of vehicles and pedestrians on roads. Road traffic is an important component of urban and rural traffic systems and is an integral part of people's daily life and economic activities. Road traffic systems include roads, vehicles, and traffic management facilities. Road networks connect cities, villages and various geographical areas, providing a popular infrastructure for people. Vehicles include various types of motor vehicles and non-motor vehicles, which are major participants in road traffic. Traffic management facilities include traffic lights, traffic signs, traffic police, etc. for managing and standardizing traffic flows.

The development and management of highway traffic has important significance for urban planning, traffic safety, environmental protection and economic development. With the increase of urban and traffic demands, the planning, construction and management of road traffic systems is becoming increasingly important. Through scientific traffic planning and management, traffic flow can be optimized, traffic efficiency is improved, traffic accidents are reduced, urban environment is improved, and economic development is promoted. In order to improve the safety of the same road, traffic lights are often arranged at intersections of a plurality of key positions of some vehicles and pedestrians, but traffic lights are not arranged at intersections of a plurality of vehicles and pedestrians, and the probability of traffic accidents is increased undoubtedly due to the fact that the intersections are smaller and the vehicle conditions are complex; if the traffic lights at the intersections can be controlled by tides, great convenience is brought to pedestrians and vehicles.

First, application number: 202111176639.1 discloses a traffic light control system and a traffic light control method based on cloud traffic, wherein the traffic light control system comprises a plurality of intersection traffic light control units, each intersection traffic light control unit is respectively connected with a cloud server, the intersection traffic light control units are used for collecting vehicle data in all directions of an intersection and controlling signal lights of the traffic light intersection according to the vehicle data in all directions, meanwhile, the vehicle data in all directions of the intersection are uploaded to the cloud server, the intersection traffic light control units have priority, and when the intersection traffic light control units cannot control the signal lights of the traffic light intersection according to the vehicle data of the current intersection, the cloud server performs integrated control on the signal lights of the adjacent traffic light intersection according to the vehicle data of the adjacent intersection; although the traffic light time length can be automatically adjusted according to the traffic real-time flow, the method is accurate and efficient; however, the scheme only realizes the monitoring of the vehicle, does not relate to the monitoring of the pedestrians and the vehicle, does not accord with the current traffic light control situation of the highway intersection, and has low intelligent and humanized degrees.

Second prior art, application number: 202110714978.4 discloses a traffic light control method and a traffic light control device, wherein the traffic light control method comprises the following steps: acquiring traffic information of a target intersection, wherein the traffic information at least comprises a first queuing parameter value of vehicles on a first road and a second queuing parameter value of vehicles on a second road, and the first road and the second road are intersected at the target intersection; according to the traffic information, carrying out linkage control on the first traffic light and the second traffic light; the first traffic light and the second traffic light are both arranged at the target intersection, the first traffic light corresponds to the first road, and the second traffic light corresponds to the second road. The traffic light control method solves the problem of low crossing passing efficiency caused by the arrangement of traffic lights in the prior art; however, the control mode is relatively one-sided, the existence of pedestrian and tidal phenomena of vehicles is not considered, and the intelligent development of highway traffic is not fully embodied.

Third, application number: 201610355649.4 discloses an intelligent traffic light, in order that a traffic light controller can reasonably configure the time of each light signal of the traffic light according to the actual condition of the instant traffic flow, the intelligent management of the traffic light is realized, and the following technical measures are adopted: a radio transmitting device is arranged on the automobile and is connected with a satellite positioning signal receiving device; the traffic light controller is provided with a radio receiving device, and the traffic light controller determines the timing of each lamp signal according to the received data sent by the automobile on each lane; the advantage of this is: the radio communication technology is adopted between the automobile and the traffic light controller, so that a computer of the traffic light controller can collect instant vehicle detention flow conditions of all lanes at the intersection and reasonably configure timing of signal lamps of all lanes according to a preset program according to conditions reflected by the data, and the intelligent management of the traffic lights is realized although the passing capacity of the road surface is reasonably and maximally utilized; but the structure is simpler, and the intelligent development degree of urban traffic can not be comprehensively embodied.

The control aspects of the traffic lights in the first, second and third prior art are suitable for the traffic of the vehicle, the traffic of the pedestrians and the vehicles is not considered, the driving safety of the vehicle is definitely reduced, and the intelligent development of urban traffic is inconvenient. Therefore, the invention provides a road intersection traffic light control method, a system, electronic equipment and a storage medium, which adapt the intersection with traffic light control to the monitoring result through monitoring the pedestrians and vehicles on the branch road, thereby reducing the probability of traffic accidents to a certain extent and embodying the intelligent development of traffic.

Disclosure of Invention

The invention mainly aims to provide a method, a system, electronic equipment and a storage medium for controlling traffic lights at highway intersections, which are used for solving the problems that the traffic lights are reflected on one side of the control plane and are adapted to the traffic of vehicles, the traffic of pedestrians and vehicles is not considered, and the driving safety of the vehicles is reduced in the prior art.

In order to achieve the above purpose, the present invention provides the following technical solutions:

A highway intersection traffic light control method comprises the following steps:

Confirming a branch monitoring area of a current traffic light intersection, wherein the far-end of the branch monitoring area is an infrared scanning camera capable of identifying the distance between pedestrians and vehicles, and a controller of the current traffic light is communicated with the infrared scanning camera to send the identification result of the pedestrians and/or vehicles to the controller;

The controller judges the identification result of pedestrians and/or vehicles, outputs the number of pedestrians and/or vehicles, compares the number of pedestrians and/or vehicles with a preset number threshold, starts a corresponding traffic light control mode of the current traffic light intersection according to the comparison result, and monitors the traffic light control mode;

The infrared scanning camera continues to monitor the first passing result of pedestrians and/or vehicles of the branch road and the second passing result containing the number of pedestrians and/or vehicles of other branch roads, and the controller adjusts the traffic light control mode of the current traffic light intersection or decides to keep the traffic light control mode of the current traffic light intersection according to the first passing result and/or the second passing result.

As a further improvement of the present invention, transmitting pedestrian and/or vehicle recognition results to the controller includes:

Obtaining the measurement distance of each infrared scanning camera by using the content of the equipment identifier, namely the unique identifier of each infrared scanning camera, confirming the linear distance between the intersection where the infrared cameras are currently installed and the peripheral branches through a map, and comparing the measurement distance with the linear distance to obtain a comparison result;

When the comparison result is within the measurement distance threshold, when the image pixels of pedestrians and/or vehicles of the infrared scanning camera are lower than the image threshold, the infrared scanning camera starts an automatic focusing program until the image pixels of the pedestrians and/or vehicles reach the image threshold; when the comparison result exceeds the measurement distance threshold, sending a focusing compensation instruction to the controller by the infrared scanning camera, and receiving the focusing compensation instruction by the controller, searching an infrared scanning camera nearest to the branch for shooting and sending the infrared scanning camera to the controller connected with the infrared scanning camera;

The controller sets communication lines according to the identity of the infrared scanning cameras, one controller corresponds to a plurality of groups of infrared scanning cameras, and different communication lines are distributed according to different identity marks; the controller invokes pedestrian and/or vehicle images of the infrared scanning camera according to the identity.

As a further improvement of the present invention, finding the infrared scanning camera closest to the branch includes:

Determining whether a focusing compensation instruction is correct, distributing the measured distance, the linear distance and the focusing compensation instruction to a controller corresponding to the current infrared scanning camera, judging the focusing compensation instruction by the controller, and sending out a search instruction of the infrared scanning camera if the focusing compensation instruction is correct; if the focusing compensation instruction is incorrect, an instruction for continuously using the current infrared scanning camera is sent out;

Receiving a searching instruction, searching according to the total number of the infrared scanning cameras controlled by the controller to obtain the position information of each infrared scanning camera, simultaneously calculating the physical distance between the infrared scanning cameras and the current infrared scanning camera, and obtaining the position information of the infrared scanning camera closest to the branch according to the distance between the infrared scanning cameras and the current infrared scanning camera;

Under the control of a controller, the infrared scanning camera with the nearest branch is scheduled to obtain images of pedestrians and/or vehicles, and when the image pixels of the pedestrians and/or vehicles of the infrared scanning camera are lower than the image threshold value in the measurement distance threshold value, the infrared scanning camera starts an automatic focusing program until the image pixels of the pedestrians and/or vehicles reach the image threshold value; when the measurement distance threshold value is exceeded, all the infrared scanning cameras which are configured at present are judged to be not matched with the branch, and a controller sends out an instruction for increasing the infrared scanning cameras.

As a further improvement of the invention, the comparison of the number of outgoing persons and/or vehicles with a preset number threshold comprises:

Receiving a plurality of images containing pedestrians and/or vehicles, judging target features of the pedestrians and/or vehicles based on a pre-trained pedestrian detection model and a pre-trained vehicle monitoring model, judging that the target features are consistent with the pedestrians and/or vehicles, sending out target feature screening instructions, calculating the number of the pedestrians and/or vehicles, searching the number of the pedestrians and/or vehicles, obtaining the number of the pedestrians and/or vehicles existing in the branch, and carrying out statistics;

When the first pedestrian or the vehicle is identified, the counter is recorded as1, and when the pedestrian and the vehicle exist simultaneously, the number is calculated respectively, namely the sum of the pedestrian and the vehicle when the number corresponds to the number, and the counter value of the counter is sent to the transponder; meanwhile, the coordinate information of pedestrians and vehicles is obtained through the pedestrian detection model and the vehicle monitoring model; iteratively calculating predicted position information of an image of a pedestrian and/or a vehicle at a first shooting moment at a second shooting moment according to the detection coordinate information, wherein the first shooting moment is smaller than the second shooting moment;

Calculating a cost matrix according to the coordinate information and the predicted position information, updating a preset tracking pool based on the cost matrix, and performing target matching by utilizing matching information in the cost matrix, namely associating pedestrians and/or vehicles with matched predicted positions and actual positions, and determining the number of newly arrived pedestrians or vehicles after matching; and further obtaining the total number of pedestrians and/or vehicles in a certain period of time, and comparing the total number with a number threshold.

As a further improvement of the present invention, a traffic light control mode of a corresponding current traffic light intersection is started, including:

Setting a quantity threshold and contents of the traffic light control modes according to the requirements of the traffic light control modes, determining whether the current traffic light control mode needs to be switched or not according to the quantity threshold, and executing the display time of the traffic lights of the main road by the traffic light control mode;

determining which traffic light control mode is actually used according to the triggering condition of the quantity threshold, transmitting the running process in real time in the running process of the traffic light control mode, and sending out early warning when the running process is not carried out according to a preset program, and controlling the traffic light manually;

According to the requirements, the set contents of the digital threshold value and the traffic light control mode in one year after one quarter are evaluated by a computer program, when the evaluation result is good, the set contents of the digital threshold value and the traffic light control mode are properly adjusted, and when the evaluation result is bad, the set contents of the digital threshold value and the traffic light control mode are comprehensively adjusted.

As a further improvement of the present invention, the number threshold setting contents are: 0, more than 0 and less than 3, more than 3, and respectively corresponding to a first quantity threshold value, a second quantity threshold value and a third quantity threshold value; setting or modifying according to actual conditions.

As a further improvement of the present invention, the traffic light control mode is set as follows:

The first control mode is started when the total number of pedestrians and/or vehicles is 0 within a certain period of time, namely a first number threshold value is triggered, and the mode is started, wherein the traffic light of the main road is set to be a green light and the vehicles are unobstructed under the condition that the branches do not have pedestrians and/or vehicles;

The second control mode is started when the total number of pedestrians and/or vehicles is more than 0 and less than 3 within a certain period of time, namely a second number threshold value is triggered, the traffic light of the main road is set to be a red light under the condition that pedestrians and/or vehicles exist in the branch road, the vehicles of the main road stop and give way, and the first control mode is switched to when the total number of pedestrians and/or vehicles is 0 within a certain period of time;

The third control mode is started when the total number of pedestrians and/or vehicles is greater than 3 within a certain period of time, namely a third number threshold value is triggered, and when the pedestrians and/or vehicles exist in the branch road, the traffic lights of the main road calculate the time controlled by the traffic lights according to the passing time of the pedestrians and the vehicles, and the vehicles of the main road run according to the traffic lights of the main road;

Setting the display time of the traffic lights of the main road according to different control modes, wherein the traffic lights of the main road are set to be green lights in a first control mode, and vehicles are unobstructed; in a second control mode, setting a traffic light of a main road as a red light, and stopping a vehicle of the main road for traffic; in a third control mode, calculating to obtain the time-limited control time of the traffic lights of the main road according to the passing time of pedestrians and/or vehicles;

Time data of pedestrians and/or vehicles passing through the main road, which are monitored by the infrared scanning camera in a third control mode; according to the collected data, counting the average time of pedestrians and/or vehicles passing through a main road within a period of time; setting time-limited control time of a main road traffic light according to the average passing time obtained by statistics; when the time-limited control time of the traffic lights of the main road is set, the time of traffic light conversion is also required to be considered, and the time of traffic light conversion is required to be subtracted in the time-limited control time so as to ensure that the traffic lights can be switched in time.

In order to achieve the above purpose, the present invention further provides the following technical solutions:

The highway intersection traffic light control system is applied to the highway intersection traffic light control method, and comprises the following steps:

The infrared scanning program preset module is used for confirming a branch monitoring area of a current traffic light intersection, the far-end of the branch monitoring area is a distance from which an infrared scanning camera can identify pedestrians and vehicles, a controller of the current traffic light is communicated with the infrared scanning camera, and pedestrian and/or vehicle identification results are sent to the controller;

the quantity identification judging module is used for judging the pedestrian and/or vehicle identification result by the controller, outputting the quantity of the pedestrian and/or vehicle, comparing the quantity with a preset quantity threshold value, starting a corresponding traffic light control mode of the current traffic light intersection according to the comparison result, and monitoring the traffic light control mode;

The result judging and adjusting module is used for continuously monitoring a first passing result of pedestrians and/or vehicles of the branch road and a second passing result containing the number of pedestrians and/or vehicles of other branch roads by the infrared scanning camera, and the controller is used for adjusting the traffic light control mode of the current traffic light intersection or determining to keep the traffic light control mode of the current traffic light intersection according to the first and/or second passing result.

An electronic device comprising a processor, a memory coupled to the processor, the memory storing program instructions executable by the processor; and the processor executes the program instructions stored in the memory to realize the road intersection traffic light control method.

A storage medium having program instructions stored therein, which when executed by a processor implement a method for enabling the traffic light control of a highway intersection.

The invention realizes the intelligent adjustment of the control mode of the traffic signal lamp by monitoring and identifying pedestrians and vehicles on the branch road in real time, thereby improving traffic efficiency, reducing traffic jam, improving traffic safety and other benefits. The specific meaning includes: improving traffic efficiency: through the quantity of pedestrian and vehicle on intelligent identification branch road, the control mode of traffic lights can be adjusted to the controller according to actual conditions intelligence for traffic signal lamp suits actual traffic conditions more, thereby improves traffic efficiency, reduces the traffic jam. And (3) improving traffic safety: the intelligent traffic signal lamp control system can be better adapted to actual traffic conditions, so that traffic safety is improved. For example, when a large number of pedestrians and vehicles are identified in peak hours, green light time can be prolonged, more sufficient passing time is provided, and traffic accidents are reduced. Energy conservation and emission reduction: the intelligent control system can flexibly adjust the control mode of the traffic lights according to actual traffic conditions, and avoid unnecessary waiting time of traffic lights, thereby reducing idle waiting of vehicles, saving energy and reducing exhaust emission. Optimizing traffic management: by monitoring and identifying traffic conditions on the branches in real time, a traffic management department can acquire more accurate traffic data, provide more accurate reference basis for traffic planning and management, and contribute to optimizing urban traffic management.

Drawings

FIG. 1 is a schematic flow chart of steps of an embodiment of a method for controlling traffic lights at a highway intersection according to the present invention;

FIG. 2 is a flowchart illustrating steps of a method for controlling traffic lights at a highway intersection according to an embodiment of the present invention, wherein the steps include sending a pedestrian and/or vehicle recognition result to a controller;

FIG. 3 is a flowchart illustrating a method for controlling traffic lights at a highway intersection according to an embodiment of the present invention;

FIG. 4 is a flowchart illustrating steps of a method for controlling traffic lights at a highway intersection according to an embodiment of the present invention, wherein the number of pedestrians and/or vehicles is compared with a preset number threshold;

FIG. 5 is a flowchart illustrating a step of starting a traffic light control mode of a corresponding current traffic light intersection according to an embodiment of the traffic light control method of the present invention;

FIG. 6 is a flowchart illustrating steps performed by a controller according to one embodiment of the present invention for adjusting a traffic light control mode of a current traffic light intersection according to a first result and/or a second result;

FIG. 7 is a schematic diagram of functional modules of one embodiment of the present invention for controlling traffic lights at a highway intersection;

FIG. 8 is a schematic diagram of an embodiment of an electronic device of the present invention;

fig. 9 is a schematic structural diagram of an embodiment of a storage medium of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms "first," "second," "third," and the like in this disclosure are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "first," "second," and "third" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. All directional indications (such as up, down, left, right, front, back … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular gesture (as shown in the drawings), and if the particular gesture changes, the directional indication changes accordingly. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

As shown in fig. 1, the present embodiment provides an embodiment of a traffic light control method for a highway intersection, and in the present embodiment, the traffic light control method for a highway intersection includes the following steps:

Step S1: confirming a branch monitoring area of a current traffic light intersection, wherein the far-end of the branch monitoring area is an infrared scanning camera capable of identifying the distance between pedestrians and vehicles, and a controller of the current traffic light is communicated with the infrared scanning camera to send the identification result of the pedestrians and/or vehicles to the controller;

Step S2: the controller judges the identification result of pedestrians and/or vehicles, outputs the number of pedestrians and/or vehicles, compares the number of pedestrians and/or vehicles with a preset number threshold, starts a corresponding traffic light control mode of the current traffic light intersection according to the comparison result, and monitors the traffic light control mode;

Step S3: the infrared scanning camera continues to monitor the first passing result of pedestrians and/or vehicles of the branch road and the second passing result containing the number of pedestrians and/or vehicles of other branch roads, and the controller adjusts the traffic light control mode of the current traffic light intersection or decides to keep the traffic light control mode of the current traffic light intersection according to the first passing result and/or the second passing result.

The process of realizing the adjustment of the traffic light control mode of the current traffic light intersection according to the first result and/or the second result by the controller is as follows:

Monitoring a first result: the controller continuously monitors the infrared scanning camera to identify and count the number of pedestrians and/or vehicles in the branch, and obtains a first result, namely the number of pedestrians and/or vehicles in the current branch;

Monitoring a second result: the controller monitors the pedestrian and/or vehicle quantity on other branches at the same time, and acquires a second result, namely information containing the pedestrian and/or vehicle quantity of other branches;

Comparing according to the first result and/or the second result: the controller compares the first result and/or the second result with a preset quantity threshold value, and judges whether the current quantity of pedestrians and/or vehicles meets the threshold value condition or not;

Adjusting a traffic light control mode: according to the comparison result, the controller decides whether the traffic light control mode of the current traffic light intersection needs to be adjusted; if the number of pedestrians and/or vehicles meets the preset number threshold range, the controller can maintain the current traffic light control mode; if the number of pedestrians and/or vehicles exceeds or falls below a threshold range, the controller switches to a proper traffic light control mode according to an adjustment strategy;

And (3) implementation adjustment: according to the instruction of the controller, the traffic light controller correspondingly adjusts the display time of the traffic light so as to meet the current traffic demand. For example, in a first control mode, if no pedestrians and/or vehicles pass through a branch, the traffic light of the main road may be set to a green light; in the second control mode, if a pedestrian and/or a vehicle passes through the branch, the traffic light of the main road can be set to be a red light, the vehicle of the main road is parked for giving way, and the like;

The controller can adjust the traffic light control mode in real time by continuously monitoring and comparing the number of pedestrians and/or vehicles so as to meet the change of traffic flow and ensure the smoothness of traffic.

Preferably, the steps S1 to S3 of the present embodiment utilize advanced technical means to realize intelligent adjustment of the traffic signal lamp control mode by real-time monitoring and identifying pedestrians and vehicles on the branch road, thereby improving traffic efficiency, reducing traffic jams, and improving traffic safety. The specific meaning includes: improving traffic efficiency: through the quantity of pedestrian and vehicle on intelligent identification branch road, the control mode of traffic lights can be adjusted to the controller according to actual conditions intelligence for traffic signal lamp suits actual traffic conditions more, thereby improves traffic efficiency, reduces the traffic jam. And (3) improving traffic safety: the intelligent traffic signal lamp control system can be better adapted to actual traffic conditions, so that traffic safety is improved. For example, when a large number of pedestrians and vehicles are identified in a peak period, the green light time can be prolonged, more sufficient traffic time is provided, traffic accidents are reduced, and when the traffic light controller identifies that a large number of pedestrians and vehicles pass on a branch road through the infrared scanning camera in the peak period, the green light time of a main road can be prolonged according to actual conditions, more sufficient traffic time is provided, so that the traffic accidents are reduced, and the traffic efficiency is improved; the controller continuously monitors the infrared scanning cameras to identify and count the number of pedestrians and vehicles in the branch; judging whether the peak period is: the controller can judge whether the current peak period is in the peak period according to the preset peak period or through real-time traffic data analysis; prolonging green light time: if the controller recognizes that a large number of pedestrians and vehicles pass through the branch road in the peak period, the green light time of the main road can be prolonged according to actual conditions. The prolonged time can be dynamically adjusted according to the number of pedestrians and vehicles, the passing speed, the road capacity and other factors; providing ample transit time: by extending the green time, the controller can provide more plentiful transit time so that pedestrians and vehicles have enough time to pass through the intersection. Thus, waiting time of pedestrians and vehicles can be reduced, traffic jam and accident risks are reduced, and traffic efficiency is improved. Energy conservation and emission reduction: the intelligent control system can flexibly adjust the control mode of the traffic lights according to actual traffic conditions, and avoid unnecessary waiting time of traffic lights, thereby reducing idle waiting of vehicles, saving energy and reducing exhaust emission. Optimizing traffic management: by monitoring and identifying traffic conditions on the branches in real time, a traffic management department can acquire more accurate traffic data, provide more accurate reference basis for traffic planning and management, and contribute to optimizing urban traffic management.

The traffic light control mode of the embodiment is set on a road, infrared scanning is conducted in an area, green lights are arranged on a main road under the condition that pedestrians and vehicles do not exist on a branch road, the vehicles directly pass through the main road, pedestrians and/or vehicles pass through the branch road, a red light is started by the system, and parking and yielding are conducted on the main road. When vehicles and/or pedestrians pass through the branch road repeatedly, the traffic lights are controlled in a time-limited mode according to the traffic quantity.

Therefore, the intelligent level of the traffic signal lamp control is improved through the intelligent technical means, so that more convenience and benefits are brought to urban traffic.

Further, as shown in fig. 2, the step S1 specifically includes the following steps:

Step S11: acquiring the measuring distance of the infrared scanning camera through the content of the equipment identifier, confirming the linear distance between the intersection where the infrared scanning camera is currently installed and the peripheral branches through a map, and comparing the measuring distance with the linear distance to obtain a comparison result;

Wherein the content is a unique identifier of each infrared scanning camera;

Step S12: when the comparison result is within the measurement distance threshold, when the image pixels of pedestrians and/or vehicles of the infrared scanning camera are lower than the image threshold, the infrared scanning camera starts an automatic focusing program until the image pixels of the pedestrians and/or vehicles reach the image threshold; when the comparison result exceeds the measurement distance threshold, sending a focusing compensation instruction to the controller by the infrared scanning camera, and receiving the focusing compensation instruction by the controller, searching an infrared scanning camera nearest to the branch for shooting and sending the infrared scanning camera to the controller connected with the infrared scanning camera;

step S13: the controller sets communication lines according to the identity of the infrared scanning cameras, one controller corresponds to a plurality of groups of infrared scanning cameras, and different communication lines are distributed according to different identity marks; the controller invokes pedestrian and/or vehicle images of the infrared scanning camera according to the identity;

Preferably, the embodiment utilizes an automatic focusing and image recognition technology, and the intelligent recognition and monitoring of pedestrians and vehicles are realized by processing the measured distance and the image pixels of the infrared scanning camera, so that more accurate and intelligent data support is provided for traffic management and safety. The specific meaning includes: improving the image quality: through an automatic focusing program, the image pixels reach a certain threshold value when the infrared scanning camera shoots pedestrians and vehicles, so that the image quality is improved, and the subsequent image recognition and processing are facilitated. Intelligent identification and monitoring: the system can intelligently adjust the focusing and shooting range of the infrared scanning camera according to the comparison result of the measured distance and the image pixels, so as to realize intelligent recognition and monitoring of pedestrians and vehicles and provide more accurate and intelligent data support for traffic management and safety. Adaptivity: the system realizes the self-adaptive processing of different distances and scenes according to the comparison result of the measured distance and the image pixels, and improves the applicability and stability of the system. Multi-camera management: the controller is used for managing and scheduling the plurality of groups of infrared scanning cameras, so that intelligent scheduling and monitoring of the plurality of cameras are realized, and more comprehensive data support is provided for traffic management.

Therefore, the embodiment has the significance that the intelligent level of the infrared scanning camera is improved through the automatic focusing and intelligent image recognition technology, more accurate and intelligent data support is provided for traffic management and safety, and the intelligent level and efficiency of traffic management are improved.

Further, as shown in fig. 3, the step S12 specifically includes the following steps:

S121: determining whether a focusing compensation instruction is correct, distributing the measured distance, the linear distance and the focusing compensation instruction to a controller corresponding to the current infrared scanning camera, judging the focusing compensation instruction by the controller, and sending out a search instruction of the infrared scanning camera if the focusing compensation instruction is correct; if the focusing compensation instruction is incorrect, an instruction for continuously using the current infrared scanning camera is sent out;

the correctness of the focusing compensation command can be judged by the following criteria:

checking the format of a focusing compensation instruction: the controller can check whether the format of the focus compensation instruction meets the prescribed format requirement. For example, checking whether the instruction contains the correct instruction code and parameters, and whether the data type of the parameters is correct;

Verifying validity of the focusing compensation instruction: the controller can verify whether the focus compensation instruction is legal. For example, checking whether the focus compensation value in the instruction is within a reasonable range to prevent the wrong focus compensation value from causing image blurring or failing to focus;

Confirming validity of a focusing compensation command: the controller may confirm the validity of the focus compensation instruction. That is, checking whether the focus compensation instruction can correctly adjust the focal length of the infrared scanning camera so that the image pixels of pedestrians and/or vehicles reach the image threshold;

If the focus compensation command meets the above criteria, i.e. the command format is correct, the validity verification is passed, and the focal length of the camera can be effectively adjusted, the controller considers the focus compensation command to be correct and issues a search command for the infrared scanning camera. Otherwise, if the focus compensation command does not meet any of the above criteria, the controller may consider the focus compensation command as incorrect and issue a command to continue using the current infrared scanning camera. S122: receiving a searching instruction, searching according to the total number of the infrared scanning cameras controlled by the controller to obtain the position information of each infrared scanning camera, simultaneously calculating the physical distance between the infrared scanning cameras and the current infrared scanning camera, and obtaining the position information of the infrared scanning camera closest to the branch according to the distance between the infrared scanning cameras and the current infrared scanning camera;

S123: under the control of a controller, the infrared scanning camera with the nearest branch is scheduled to obtain images of pedestrians and/or vehicles, and when the image pixels of the pedestrians and/or vehicles of the infrared scanning camera are lower than the image threshold value in the measurement distance threshold value, the infrared scanning camera starts an automatic focusing program until the image pixels of the pedestrians and/or vehicles reach the image threshold value; when the measurement distance threshold value is exceeded, judging that all the infrared scanning cameras configured at present are not matched with the branch, and sending an instruction for increasing the infrared scanning cameras by the controller;

preferably, the embodiment utilizes an intelligent focusing compensation and searching mechanism to realize intelligent recognition and monitoring of pedestrians and vehicles, thereby providing more accurate and intelligent data support for traffic management and safety. The specific meaning includes: intelligent focusing and scheduling: the system realizes intelligent focusing and scheduling of the infrared scanning cameras through the focusing compensation instruction and the searching instruction, selects the most suitable camera for image capturing according to the distance of the physical distance, and improves the definition and accuracy of the image. Adaptivity and intellectualization: the system realizes the self-adaptive processing of different distances and scenes according to the comparison result of the measured distance and the image pixels, and improves the applicability and stability of the system. Meanwhile, the system can intelligently adjust and increase the configuration of the cameras according to the matching condition of the infrared scanning cameras and the branches which are configured at present, and the intelligent level of the system is improved. Data support and decision basis: the system provides more accurate and intelligent data support for traffic management and safety through intelligent identification and monitoring, is beneficial to improving the intelligent level and efficiency of traffic management, and provides more accurate basis for traffic decision.

Therefore, the embodiment has the significance of improving the intelligent level of the infrared scanning camera system through an intelligent focusing and scheduling mechanism, providing more accurate and intelligent data support for traffic management and safety, and being beneficial to improving the intelligent level and efficiency of traffic management.

Further, as shown in fig. 4, the step S2 specifically includes the following steps:

S21: receiving a plurality of images containing pedestrians and/or vehicles, judging target features of the pedestrians and/or vehicles based on a pre-trained pedestrian detection model and a pre-trained vehicle monitoring model, judging that the target features are consistent with the pedestrians and/or vehicles, sending out target feature screening instructions, calculating the number of the pedestrians and/or vehicles, searching the number of the pedestrians and/or vehicles, obtaining the number of the pedestrians and/or vehicles existing in the branch, and carrying out statistics;

S22: when the first pedestrian or the vehicle is identified, the counter is recorded as1, and when the pedestrian and the vehicle exist simultaneously, the number is calculated respectively, namely the sum of the pedestrian and the vehicle when the number corresponds to the number, and the counter value of the counter is sent to the transponder; meanwhile, the coordinate information of pedestrians and vehicles is obtained through the pedestrian detection model and the vehicle monitoring model; iteratively calculating predicted position information of an image of a pedestrian and/or a vehicle at a first shooting moment at a second shooting moment according to the detection coordinate information, wherein the first shooting moment is smaller than the second shooting moment;

S23: calculating a cost matrix according to the coordinate information and the predicted position information, updating a preset tracking pool based on the cost matrix, and performing target matching by utilizing matching information in the cost matrix, namely associating pedestrians and/or vehicles with matched predicted positions and actual positions, and determining the number of newly arrived pedestrians or vehicles after matching; further obtaining the total number of pedestrians and/or vehicles within a certain period of time, and comparing the total number with a number threshold;

preferably, the embodiment utilizes a pre-trained pedestrian detection model and a pre-trained vehicle monitoring model to calculate and track the number of pedestrians and vehicles by distinguishing and matching features of the pedestrians and the vehicles in the image, and finally obtains the total number of pedestrians and/or vehicles in a certain period of time. The specific meaning includes: target identification and counting: through the pre-trained pedestrian detection model and the pre-trained vehicle monitoring model, the system can recognize and count pedestrians and vehicles in the image, so that the number of pedestrians and vehicles at a certain moment is obtained. Target tracking and matching: by calculating the cost matrix and updating the preset tracking pool, the system can track and match pedestrians and vehicles, and further determine the number of newly arrived pedestrians or vehicles. Data statistics and analysis: the system can carry out statistics and analysis according to the obtained number of pedestrians and/or vehicles to obtain the total number of pedestrians and/or vehicles in a certain period of time, thereby providing accurate data support for traffic management and safety. Adaptivity and intellectualization: the system realizes the self-adaptive processing at different moments and under different scenes by iterative computation and updating of the cost matrix, and improves the applicability and stability of the system.

Therefore, the embodiment has the significance of providing more accurate and intelligent data support for traffic management and safety through image recognition, target tracking and data statistics, and being beneficial to improving the intelligent level and efficiency of traffic management.

Further, as shown in fig. 5, step S2 specifically further includes the following steps:

s24: setting a quantity threshold and contents of the traffic light control modes according to the requirements of the traffic light control modes, determining whether the current traffic light control mode needs to be switched or not according to the quantity threshold, and executing the display time of the traffic lights of the main road by the traffic light control mode;

in this embodiment, the number threshold is set as follows: 0, more than 0 and less than 3, more than 3, and respectively corresponding to a first quantity threshold value, a second quantity threshold value and a third quantity threshold value; the setting can be carried out according to the actual situation, and the modification can be carried out;

The traffic light control mode is set as follows (the control mode is correspondingly adjusted according to the adjustment of the quantity threshold):

The first control mode is started when the total number of pedestrians and/or vehicles is 0 within a certain period of time, namely a first number threshold value is triggered, and the mode is started, wherein the traffic light of the main road is set to be a green light and the vehicles are unobstructed under the condition that the branches do not have pedestrians and/or vehicles; in this mode, the traffic light of the main road is set to be green, and vehicles can pass through the intersection without obstruction; monitoring pedestrian and vehicle numbers: the traffic light controller continuously monitors the infrared scanning cameras to identify and count the number of pedestrians and vehicles in the branch; judging a quantity threshold value: the controller compares the number of pedestrians and vehicles monitored in real time with a preset number threshold. Triggering a first quantity threshold when the quantity of pedestrians and vehicles on the branch is 0; setting a green light: when the traffic light controller judges that the traffic light is currently in the first control mode, the traffic light of the main road is set to be a green light. This means that vehicles on the main road can pass through the intersection without blocking, without waiting for a stop; through the intelligent control strategy, the traffic efficiency can be improved and the traffic jam can be reduced. When no pedestrians and vehicles pass through the branch, the traffic light controller can set the traffic light of the main road as a green light in time, so that the vehicles can smoothly pass through the intersection, and the waiting time and the queuing length are reduced. Meanwhile, the intelligent control mode can also reduce the idle waiting time of the vehicle, save energy and reduce tail gas emission;

Time data of pedestrians and/or vehicles passing through the main road, which are monitored by the infrared scanning camera in a third control mode; according to the collected data, counting the average time of pedestrians and/or vehicles passing through a main road within a period of time; setting time-limited control time of a main road traffic light according to the average passing time obtained by statistics; when the time-limited control time of the traffic lights of the main road is set, the time for changing the traffic lights is also required to be considered, and the time for changing the traffic lights is required to be subtracted in the time-limited control time so as to ensure that the traffic lights can be switched in time;

S25: determining which traffic light control mode is actually used according to the triggering condition of the quantity threshold, transmitting the running process in real time in the running process of the traffic light control mode, and sending out early warning when the running process is not carried out according to a preset program, so that the traffic light can be controlled manually;

S26: according to the requirements, the set contents of the digital threshold value and the traffic light control mode in one year after one quarter are evaluated by a computer program, when the evaluation result is good, the set contents of the digital threshold value and the traffic light control mode are properly adjusted, and when the evaluation result is bad, the set contents of the digital threshold value and the traffic light control mode are comprehensively adjusted;

Preferably, the embodiment dynamically adjusts the control mode of the traffic light according to the real-time number of vehicles and pedestrians, so as to improve the traffic smoothness and safety. The specific meaning includes: intelligent traffic control: by setting a quantity threshold value and a corresponding traffic light control mode, the system can realize intelligent control of traffic signal lamps. And dynamically adjusting the display time of the traffic lights according to the real-time pedestrian and vehicle quantity conditions so as to adapt to different traffic flow conditions. Smooth and safe traffic: by dynamically adjusting the traffic light control mode, the system can realize smooth and safe balance of traffic. Under the condition that pedestrians and vehicles are not present, the traffic lights of the main road are set to be green lights, so that the vehicles are ensured to be unobstructed; and under the condition that pedestrians and vehicles exist, triggering corresponding traffic light control modes according to the quantity threshold values so as to ensure safe passing of the pedestrians and the vehicles. Real-time monitoring and early warning: the system can transmit the running process of the traffic light control mode in real time, and send out early warning when the running process is not carried out according to a preset program. This helps to find traffic anomalies in time and take corresponding action. Dynamic adjustment and evaluation: the system is provided with a mechanism for evaluating the set contents of the digital threshold and the traffic light control mode, and the system can be dynamically adjusted according to the evaluation result so as to adapt to the actual traffic condition.

Therefore, the embodiment has the significance that the dynamic adjustment of the traffic signal lamp is realized through an intelligent traffic light control mode, the traffic smoothness and the safety are improved, and a more intelligent and efficient solution is provided for urban traffic management.

Further, as shown in fig. 6, the step S3 specifically includes the following steps:

step S31: the infrared scanning camera continuously monitors the traffic situation of pedestrians and/or vehicles in the branch, and transmits the monitoring result to the controller as a first result; acquiring the number of pedestrians and/or vehicles of other branches, and transmitting the number of pedestrians and/or vehicles to the controller as a second result;

step S32: the controller makes a decision based on the first result and/or the second result. If the traffic light control mode of the current traffic light intersection needs to be adjusted, the controller can correspondingly adjust; if no adjustment is needed, the controller decides to maintain the current traffic light control mode;

Step S33: if the controller decides that the traffic light control mode needs to be adjusted, the controller correspondingly adjusts the traffic light control mode of the current traffic light intersection according to the first result and/or the second result; possible adjustments include changing the display time of the traffic light, switching different control modes, etc.; if the controller decides to maintain the current traffic light control mode, the system will continue to maintain the current traffic light display state until the next decision point.

Preferably, the present embodiment combines the monitoring result of the infrared scanning camera and the number of pedestrians and/or vehicles in other branches, and the controller is used to dynamically adjust or maintain the traffic light control mode of the current traffic light intersection. The intelligent traffic signal control is realized, and the intelligent traffic signal control method specifically comprises the following steps: and (3) real-time monitoring: through the infrared scanning camera, the system can monitor the traffic situation of pedestrians and/or vehicles of the branch in real time, so that a first result is obtained. Comprehensive consideration: the system not only considers the pedestrian and vehicle conditions (first result) of the current intersection, but also comprehensively considers the pedestrian and vehicle quantity (second result) of other branches, so that the traffic condition can be more comprehensively estimated. Intelligent decision: based on the first result and/or the second result, the controller can dynamically adjust the traffic light control mode of the current traffic light intersection. The intelligent decision can adjust the display time of the traffic lights according to actual conditions so as to optimize traffic flow and improve traffic efficiency. Traffic optimization: by dynamically adjusting the traffic light control mode, the system can realize the optimization of traffic signals, so that traffic is smooth and congestion is reduced. Safety: the system considers the traffic situation of pedestrians and vehicles, can ensure the safe traffic of the pedestrians and the vehicles according to the actual situation, and avoids traffic accidents.

In summary, the intelligent traffic light control system based on the infrared scanning camera and the controller has the significance of improving the intelligent level of traffic signal control, optimizing the traffic flow and improving the traffic efficiency and the safety.

As shown in fig. 7, this embodiment also provides an embodiment of a highway intersection traffic light control system, where the highway intersection traffic light control system is applied to the highway intersection traffic light control method in the above embodiment, and the highway intersection traffic light control system includes an infrared scanning program preset module 1, a number identification determination module 2, and a result determination and adjustment module 3 that are electrically connected in sequence.

The infrared scanning program presetting module 1 is used for confirming a branch monitoring area of a current traffic light intersection, the far-end of the branch monitoring area is the distance that an infrared scanning camera can identify pedestrians and vehicles, a controller of the current traffic light is communicated with the infrared scanning camera, and pedestrian and/or vehicle identification results are sent to the controller; the quantity recognition judging module 2 is used for judging the pedestrian and/or vehicle recognition result by the controller, outputting the quantity of the pedestrian and/or vehicle, comparing the quantity with a preset quantity threshold value, starting a corresponding traffic light control mode of the current traffic light intersection according to the comparison result, and monitoring the traffic light control mode; the result judging and adjusting module 3 is configured to continuously monitor a first result of traffic of pedestrians and/or vehicles in the branch road and a second result of traffic of pedestrians and/or vehicles in other branches by using the infrared scanning camera, and implement adjustment of a traffic light control mode of the current traffic light intersection by using the controller according to the first result and/or the second result, or determine to maintain the traffic light control mode of the current traffic light intersection.

Preferably, the infrared scanning program presetting module 1, the quantity identification judging module 2 and the result judging and adjusting module 3 of the embodiment utilize advanced technical means to realize intelligent adjustment of the traffic signal lamp control mode through real-time monitoring and identification of pedestrians and vehicles on the branch road, thereby improving traffic efficiency, reducing traffic jam, improving traffic safety and other benefits. The specific meaning includes: improving traffic efficiency: through the quantity of pedestrian and vehicle on intelligent identification branch road, the control mode of traffic lights can be adjusted to the controller according to actual conditions intelligence for traffic signal lamp suits actual traffic conditions more, thereby improves traffic efficiency, reduces the traffic jam. And (3) improving traffic safety: the intelligent traffic signal lamp control system can be better adapted to actual traffic conditions, so that traffic safety is improved. For example, when a large number of pedestrians and vehicles are identified in peak hours, green light time can be prolonged, more sufficient passing time is provided, and traffic accidents are reduced. Energy conservation and emission reduction: the intelligent control system can flexibly adjust the control mode of the traffic lights according to actual traffic conditions, and avoid unnecessary waiting time of traffic lights, thereby reducing idle waiting of vehicles, saving energy and reducing exhaust emission. Optimizing traffic management: by monitoring and identifying traffic conditions on the branches in real time, a traffic management department can acquire more accurate traffic data, provide more accurate reference basis for traffic planning and management, and contribute to optimizing urban traffic management.

Further, the infrared scanning program preset module 1 specifically includes:

The distance comparison unit is used for obtaining the measurement distance of the infrared scanning camera through the content of the equipment identifier, confirming the linear distance between the intersection where the infrared scanning camera is currently installed and the peripheral branches through a map, and comparing the measurement distance with the linear distance to obtain a comparison result;

Wherein the content is a unique identifier of each infrared scanning camera;

The distance threshold comparison unit is used for starting an automatic focusing program when the image pixels of pedestrians and/or vehicles of the infrared scanning camera are lower than the image threshold when the comparison result is within the measured distance threshold, and the distance threshold comparison unit is used for starting the automatic focusing program until the image pixels of the pedestrians and/or vehicles reach the image threshold; when the comparison result exceeds the measurement distance threshold, sending a focusing compensation instruction to the controller by the infrared scanning camera, and receiving the focusing compensation instruction by the controller, searching an infrared scanning camera nearest to the branch for shooting and sending the infrared scanning camera to the controller connected with the infrared scanning camera;

The communication line distribution unit is used for setting communication lines by the controller according to the identity marks of the infrared scanning cameras, one controller corresponds to a plurality of groups of infrared scanning cameras, and different communication lines are distributed according to the different identity marks; the controller invokes pedestrian and/or vehicle images of the infrared scanning camera according to the identity;

Further, the distance threshold comparison unit is specifically:

The command judging unit is used for determining whether the focusing compensation command is correct, distributing the measurement distance, the linear distance and the focusing compensation command to a controller corresponding to the current infrared scanning camera, judging the focusing compensation command by the controller, and sending out a search command of the infrared scanning camera if the focusing compensation command is correct; if the focusing compensation instruction is incorrect, an instruction for continuously using the current infrared scanning camera is sent out;

The camera position confirming unit is used for receiving the searching command, searching according to the total number of the infrared scanning cameras controlled by the controller, obtaining the position information of each infrared scanning camera, simultaneously calculating the physical distance between the infrared scanning cameras and the current infrared scanning camera, and obtaining the position information of the infrared scanning camera closest to the branch according to the distance between the infrared scanning cameras and the current infrared scanning camera;

The focusing program starts a power supply and is used for dispatching the infrared scanning camera with the nearest branch under the control of the controller to obtain images of pedestrians and/or vehicles, and when the image pixels of the pedestrians and/or vehicles of the infrared scanning camera are lower than the image threshold value when the measured distance threshold value is within the measured distance threshold value, the infrared scanning camera starts an automatic focusing program until the image pixels of the pedestrians and/or vehicles reach the image threshold value; when the measurement distance threshold value is exceeded, judging that all the infrared scanning cameras configured at present are not matched with the branch, and sending an instruction for increasing the infrared scanning cameras by the controller;

Further, the number identification determination module 2 specifically includes:

the feature discrimination unit is used for receiving a plurality of images containing pedestrians and/or vehicles, discriminating the target features of the pedestrians and/or vehicles based on a pre-trained pedestrian detection model and a pre-trained vehicle monitoring model, judging that the target features are consistent with the pedestrians and/or vehicles, sending out target feature discrimination instructions, calculating the number of the pedestrians and/or vehicles, searching the number of the pedestrians and/or vehicles, obtaining the number of the pedestrians and/or vehicles existing in the branch, and counting the number of the pedestrians and/or vehicles;

A number calculating unit for, when a first pedestrian or vehicle is identified, counting 1 by a counter, and when a pedestrian and a vehicle exist simultaneously, calculating the number, that is, the sum of the pedestrian and the vehicle when the number corresponds to each other, respectively, and transmitting the counter value of the counter to the transponder; meanwhile, the pedestrian detection model and the vehicle monitoring model obtain the coordinate information of the heat and the vehicle; iteratively calculating predicted position information of an image of a pedestrian and/or a vehicle at a first shooting moment at a second shooting moment according to the detection coordinate information, wherein the first shooting moment is smaller than the second shooting moment;

The information matching unit is used for calculating a cost matrix according to the coordinate information and the predicted position information, updating a preset tracking pool based on the cost matrix, and performing target matching by utilizing matching information in the cost matrix, namely associating pedestrians and/or vehicles with matched predicted positions and actual positions, and determining the number of newly arrived pedestrians or vehicles after matching; further obtaining the total number of pedestrians and/or vehicles within a certain period of time, and comparing the total number with a number threshold;

The program setting unit is used for setting a quantity threshold and the content of the traffic light control modes according to the requirements of the traffic light control modes, determining whether the current traffic light control mode needs to be switched or not according to the quantity threshold, and executing the display time of the traffic lights of the main road by the traffic light control mode;

The threshold triggering unit is used for determining which traffic light control mode is actually used according to the triggering condition of the quantity threshold, transmitting the running process in real time in the running process of the traffic light control mode, and sending out early warning when the running process is not carried out according to a preset program, so that the traffic light can be controlled manually;

The result evaluation unit is used for setting the numerical threshold and the traffic light control mode setting content in one year after one quarter according to the requirements, evaluating by a computer program, properly adjusting when the evaluation result is good, and comprehensively adjusting the numerical threshold and the traffic light control mode setting content when the evaluation result is bad;

According to the embodiment, the control mode of the traffic light is dynamically adjusted according to the real-time number of vehicles and pedestrians, so that the traffic smoothness and the safety are improved. The specific meaning includes: intelligent traffic control: by setting a quantity threshold value and a corresponding traffic light control mode, the system can realize intelligent control of traffic signal lamps. And dynamically adjusting the display time of the traffic lights according to the real-time pedestrian and vehicle quantity conditions so as to adapt to different traffic flow conditions. Smooth and safe traffic: by dynamically adjusting the traffic light control mode, the system can realize smooth and safe balance of traffic. Under the condition that pedestrians and vehicles are not present, the traffic lights of the main road are set to be green lights, so that the vehicles are ensured to be unobstructed; and under the condition that pedestrians and vehicles exist, triggering corresponding traffic light control modes according to the quantity threshold values so as to ensure safe passing of the pedestrians and the vehicles. Real-time monitoring and early warning: the system can transmit the running process of the traffic light control mode in real time, and send out early warning when the running process is not carried out according to a preset program. This helps to find traffic anomalies in time and take corresponding action. Dynamic adjustment and evaluation: the system is provided with a mechanism for evaluating the set contents of the digital threshold and the traffic light control mode, and the system can be dynamically adjusted according to the evaluation result so as to adapt to the actual traffic condition.

Further, the result determining and adjusting module 3 specifically includes:

the result acquisition unit is used for continuously monitoring the traffic situation of pedestrians and/or vehicles of the branch by the infrared scanning camera, and transmitting the monitoring result to the controller as a first result; acquiring the number of pedestrians and/or vehicles of other branches, and transmitting the number of pedestrians and/or vehicles to the controller as a second result;

And the mode adjusting unit is used for the controller to make a decision according to the first result and/or the second result. If the traffic light control mode of the current traffic light intersection needs to be adjusted, the controller can correspondingly adjust; if no adjustment is needed, the controller decides to maintain the current traffic light control mode;

The mode execution unit is used for correspondingly adjusting the traffic light control mode of the current traffic light intersection according to the first result and/or the second result if the controller decides that the traffic light control mode needs to be adjusted; possible adjustments include changing the display time of the traffic light, switching different control modes, etc.; if the controller decides to maintain the current traffic light control mode, the system will continue to maintain the current traffic light display state until the next decision point.

As shown in fig. 8, the present embodiment provides an embodiment of the electronic device, and in the present embodiment, the electronic device 4 includes a processor 41 and a memory 42 coupled to the processor 41.

The memory 42 stores program instructions for implementing the highway intersection traffic light control method of any of the embodiments described above.

The processor 41 is configured to execute program instructions stored in the memory 42 for road junction traffic light control.

The processor 41 may also be referred to as a CPU (Central Processing Unit ). The processor 41 may be an integrated circuit chip with signal processing capabilities. Processor 41 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

Further, fig. 9 is a schematic structural diagram of a storage medium according to an embodiment of the present invention, where the storage medium 5 according to an embodiment of the present invention stores a program instruction 51 capable of implementing all the methods described above, where the program instruction 51 may be stored in the storage medium in the form of a software product, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes, or a terminal device such as a computer, a server, a mobile phone, a tablet, or the like.

In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The foregoing is only the embodiments of the present invention, and the patent scope of the invention is not limited thereto, but is also covered by the patent protection scope of the invention, as long as the equivalent structure or equivalent flow changes made by the description and the drawings of the invention or the direct or indirect application in other related technical fields are adopted.

The embodiments of the invention have been described in detail above, but they are merely examples, and the invention is not limited to the above-described embodiments. It will be apparent to those skilled in the art that any equivalent modifications or substitutions to this invention are within the scope of the invention, and therefore, all equivalent changes and modifications, improvements, etc. that do not depart from the spirit and scope of the principles of the invention are intended to be covered by this invention.

Claims

1. The highway intersection traffic light control method is characterized by comprising the following steps of:

The method comprises the steps that an infrared scanning camera continuously monitors a first passing result of pedestrians and/or vehicles of a branch and a second passing result containing the number of pedestrians and/or vehicles of other branches, and a controller adjusts a traffic light control mode of a current traffic light intersection according to the first passing result and/or the second passing result or decides to keep the traffic light control mode of the current traffic light intersection;

Wherein, monitoring the first result: the controller continuously monitors the infrared scanning camera to identify and count the number of pedestrians and/or vehicles in the branch, and obtains a first result, namely the number of pedestrians and/or vehicles in the current branch;

Adjusting a traffic light control mode: according to the comparison result, the controller decides whether the traffic light control mode of the current traffic light intersection needs to be adjusted; if the number of pedestrians and/or vehicles meets the preset number threshold range, the controller maintains the current traffic light control mode; if the number of pedestrians and/or vehicles exceeds or falls below a threshold range, the controller switches to a proper traffic light control mode according to an adjustment strategy;

And (3) implementation adjustment: according to the instruction of the controller, the traffic light controller correspondingly adjusts the display time of the traffic light so as to meet the current traffic demand; in the first control mode, if no pedestrian and/or vehicle passes through the branch, the traffic light of the main road is set to be green; in the second control mode, if a pedestrian and/or a vehicle passes through the branch, setting a traffic light of a main road as a red light, and stopping the vehicle of the main road for traffic;

The controller adjusts the traffic light control mode in real time by continuously monitoring and comparing the number of pedestrians and/or vehicles;

starting a corresponding traffic light control mode of a current traffic light intersection, comprising:

According to the requirements, the set contents of the digital threshold value and the traffic light control mode in one year after one quarter are evaluated by a computer program, when the evaluation result is good, the set contents of the digital threshold value and the traffic light control mode are properly adjusted, and when the evaluation result is bad, the set contents of the digital threshold value and the traffic light control mode are comprehensively adjusted;

the traffic light control mode is set as follows:

2. The method of claim 1, wherein transmitting the pedestrian and/or vehicle recognition results to the controller comprises:

3. The method of claim 2, wherein finding the infrared scanning camera closest to the branch comprises:

4. The highway intersection traffic light control method according to claim 1, wherein the comparison of the number of output pedestrians and/or vehicles with a preset number threshold value comprises:

5. The traffic light control method for highway intersections according to claim 1, wherein the number threshold is set as follows: 0, more than 0 and less than 3, more than 3, and respectively corresponding to a first quantity threshold value, a second quantity threshold value and a third quantity threshold value; setting or modifying according to actual conditions.

6. A highway intersection traffic light control system applied to the highway intersection traffic light control method according to any one of claims 1 to 5, wherein the highway intersection traffic light control system comprises:

7. An electronic device comprising a processor, and a memory coupled to the processor, the memory storing program instructions executable by the processor; the processor, when executing the program instructions stored in the memory, implements the highway intersection traffic light control method according to any one of claims 1 to 5.

8. A storage medium having stored therein program instructions which when executed by a processor implement a method for enabling the highway intersection traffic light control according to any one of claims 1 to 5.