阅读说明：本技术 一种基于智慧城市交通灯的智能控制方法 (Intelligent control method based on intelligent urban traffic lights ) 是由 周刚成 于 2021-08-13 设计创作，主要内容包括：本发明所公开的基于智慧城市交通灯的智能控制方法,包括：利用摄像头朝该路面拍摄停止在该路面中的车辆的图片；从该图片中识别出全部停止在路面中的车辆,并识别出停止在该路面中每一车道所停止的排队车辆；统计出所停止在每一车道上的排队车辆的总长度；判断所停止的排队车辆的总长度最长的车道所停止的排队车辆的长度是否大于预设长度值；如果是,则为控制面板中的绿灯提供一种新的亮灯时长方式,新的亮灯时长方式的亮灯时长比正常亮灯时长长；待所对应的控制面板中的绿灯以新的亮灯时长方式亮灯过程中,其他控制面板的红灯保持亮。通过上述方式,本发明能够根据车辆的排队长度来控制交通灯的亮灭时间,灵活性高,智能化高,能够满足智慧城市的高质量要求。(The invention discloses an intelligent control method based on intelligent urban traffic lights, which comprises the following steps: shooting pictures of vehicles stopped in the road surface by using a camera towards the road surface; identifying all vehicles stopped in the road surface from the picture, and identifying queued vehicles stopped in each lane of the road surface; counting the total length of the queued vehicles stopped on each lane; judging whether the length of the queuing vehicle stopped by the lane with the longest total length of the stopped queuing vehicle is larger than a preset length value or not; if so, providing a new lamp-on time length mode for the green lamp in the control panel, wherein the lamp-on time length of the new lamp-on time length mode is longer than the normal lamp-on time length; and when the green light in the corresponding control panel is lighted in a new lighting time length mode, the red lights of other control panels are kept on. Through the mode, the intelligent control system can control the on-off time of the traffic lights according to the queuing length of the vehicles, is high in flexibility and high in intelligence, and can meet the high-quality requirement of a smart city.)

1. The utility model provides an intelligent control method based on wisdom urban traffic light, its characterized in that, this traffic light including the brace table of liftable setting, set up in the brace table and towards a plurality of control panel on different road surfaces and set up the camera in the brace table, the interval is provided with red light, green light, amber light and display screen in the control panel, this method includes:

step S101: when the fact that a red light in a control panel corresponding to a certain road surface is turned on is determined, a camera is used for shooting pictures of vehicles stopped in the road surface towards the road surface;

step S102: identifying all vehicles stopping in line in the road surface from the picture, and identifying the vehicles stopping in line in each lane in the road surface;

step S103: counting the total length of the queued vehicles stopped on each lane;

step S104: judging whether the length of the queuing vehicle stopped by the lane with the longest total length of the stopped queuing vehicle is larger than a preset length value or not;

step S105: if yes, providing a new light-on time length mode for the green light in the corresponding control panel, wherein the light-on time length of the new light-on time length mode is longer than the normal light-on time length;

step S106: and when the green light in the corresponding control panel is lighted in a new lighting time length mode, the red lights of other control panels are kept on, and the display screen on the control panel displays the same time length as the green light.

2. The intelligent control method based on intelligent urban traffic lights according to claim 1, characterized in that the method further comprises:

when it is determined from the picture that the vehicle having a relatively high height blocks the following vehicle and cannot recognize the following vehicle, the support table is controlled to ascend, and the camera is used to capture a picture of the vehicle whose road surface is stopped on the road surface again, and the process continues to step S102.

3. The intelligent control method based on intelligent urban traffic lights according to claim 1, wherein the road surface comprises a first road surface, a second road surface and a third road surface, the number of the cameras is only 1, and the cameras are rotatably arranged in the support platform, the method further comprising:

when determining that the red light in the control panel corresponding to the first road surface is on, determining that the red light in the control panel corresponding to the second road surface is on, and determining that the green light in the control panel corresponding to the third road surface is on, when the time countdown for the red light on in the control panel corresponding to the first road surface is about to clear, when the time countdown for the red light on in the control panel corresponding to the second road surface is about to clear, and when the time countdown for the green light on in the control panel corresponding to the third road surface is about to clear, the camera is used for shooting a first road surface picture of a first road surface towards the first road surface, when the camera finishes shooting the first road surface picture, the camera is rotated to face a second road surface, and the camera is used for shooting a second road surface picture of the second road surface towards the second road surface, when the camera finishes shooting the second road surface picture, rotating to face a third road surface, and shooting a third road surface picture of the third road surface towards the third road surface by using the camera;

analyzing the vehicle conditions in the first road picture, the second road picture and the third road picture;

when the first road surface is analyzed from the first road surface picture, the first road surface does not stop vehicles or stops few vehicles, the second road surface is analyzed from the second road surface picture, the second road surface does not stop vehicles or stops few vehicles, the third road surface is analyzed from the third road surface picture, the number of the vehicles stopping is more than that of the vehicles stopping, the time of the red light in the control panel corresponding to the first road surface is prolonged, the time of the red light in the control panel corresponding to the second road surface is prolonged, and the time of the green light in the control panel corresponding to the third road surface is prolonged.

4. The intelligent control method based on smart city traffic lights according to claim 1, wherein the control panel is provided with a first red light corresponding to a left-turn lane, a first green light corresponding to a left-turn lane, a first yellow light corresponding to a left-turn lane, a first red light corresponding to a middle lane, a first green light corresponding to a middle lane, a first yellow light corresponding to a middle lane, a first red light corresponding to a right-turn lane, a first green light corresponding to a right-turn lane and a first yellow light corresponding to a right-turn lane, the first red light, the second red light and the third red light in the control panel have the same on-off time, the first green light, the second green light and the third green light in the control panel have the same on-off time, and the first yellow light, the second yellow light and the third yellow light in the control panel have the same on-off time, and the method further comprises:

when it is determined that a first red light corresponding to a left-turn lane, a second red light corresponding to a middle lane and a third red light corresponding to a right-turn lane are on, a camera in a control panel is used for shooting a road surface picture of a road surface corresponding to the control panel;

analyzing a left-turn lane, a middle lane and a right-turn lane corresponding to the road surface in the road surface picture;

recognizing vehicles in the road surface picture, and recognizing vehicles in a left-turn lane, a middle lane and a right-turn lane;

counting the length of vehicle queues in the left-turn lane, the middle lane and the right-turn lane;

judging whether the length of vehicle queue in the left-turn lane, the middle lane and the right-turn lane meets the standard length;

if so, the first red light corresponding to the left-turn lane, the first green light corresponding to the left-turn lane, the first yellow light corresponding to the left-turn lane, the second red light corresponding to the middle lane, the second green light corresponding to the middle lane, the second yellow light corresponding to the middle lane, the third red light corresponding to the right-turn lane, the third green light corresponding to the right-turn lane and the third yellow light corresponding to the right-turn lane are turned on and off according to normal standard time.

5. The intelligent control method based on intelligent urban traffic lights according to claim 4, characterized in that the method further comprises:

if the length of the vehicle in the left-turn lane with the longest vehicle length is determined to be greater than the standard length of the left-turn lane and the lengths of the vehicles in the middle lane and the right-turn lane are determined to meet the standard length, the length of time that a first green light corresponding to the left-turn lane is turned on is prolonged;

if the length of the vehicle in the middle lane with the longest vehicle length is determined to be greater than the middle standard length and the lengths of the vehicles in the left-turn lane and the right-turn lane are determined to meet the standard length, the duration of the second green light corresponding to the middle lane is prolonged;

and if the length of the vehicle in the right-turn lane with the longest vehicle length is determined to be greater than the standard right-turn length and the lengths of the vehicles in the middle lane and the left-turn lane are determined to meet the standard length, prolonging the time length for which the third green light corresponding to the right-turn lane is turned on.

6. The intelligent control method based on intelligent urban traffic lights according to claim 5, characterized in that the method further comprises:

if the length of the vehicle in the left-turn lane with the longest vehicle length is determined to be smaller than the standard length of the left-turn lane and the lengths of the vehicles in the middle lane and the right-turn lane are determined to meet the standard length, the length of time that a first green light corresponding to the left-turn lane is turned on is shortened;

if the length of the vehicle in the middle lane with the longest vehicle length is determined to be smaller than the middle standard length and the lengths of the vehicles in the left-turn lane and the right-turn lane are determined to meet the standard length, the duration of the second green light corresponding to the middle lane is shortened;

and if the length of the vehicle in the right-turn lane with the longest vehicle length is determined to be less than the standard length of the right-turn lane and the lengths of the vehicles in the middle lane and the left-turn lane are determined to meet the standard length, shortening the time length for which the third green light corresponding to the right-turn lane is turned on.

7. The intelligent control method based on intelligent urban traffic lights according to claim 2, characterized in that the method further comprises:

when a special vehicle with a relatively high height is analyzed from the picture, and the area of the special vehicle blocks most of the upper area on the lane of the picture, the vehicle is determined to block the rear vehicle.

Technical Field

The invention relates to the technical field of intelligent traffic, in particular to an intelligent control method based on intelligent urban traffic lights.

Background

With the continuous improvement of the living standard of people, more and more vehicles are used for replacing the walking, and the automobile becomes a necessary tool for the current traffic. The increase of automobiles brings great convenience for the travel of human beings, but with the increasing of urbanization scale, the automobiles are more and more, and how to select a proper route according to the existing transportation means, communication means, destinations and departure places, so that the congestion is avoided, the automobile running time is reduced, the oil consumption is reduced, and the efficiency is improved, thereby becoming an important subject of traffic management researchers.

Generally, traffic lights are provided with a red light, a green light and a yellow light, and in a traditional mode, the traffic lights are turned on and off according to standard time, for example, the red light is turned on for one minute, the green light is turned on for one minute, and the yellow light is turned on for 5 seconds, namely, the traffic lights are turned on and off according to fixed time, so that the traffic lights are low in flexibility and low in intelligence and cannot meet the high-quality requirement of a smart city.

Disclosure of Invention

The invention mainly solves the technical problem of providing an intelligent control method based on the traffic lights of the smart city, which can control the on-off time of the traffic lights according to the queuing length of vehicles, has high flexibility and high intelligence, can meet the high-quality requirement of the smart city, and greatly improves the user experience.

In order to solve the technical problems, the invention adopts a technical scheme that: the invention provides an intelligent control method based on a smart city traffic light, which is characterized in that the traffic light comprises a support platform arranged in a lifting way, a plurality of control panels arranged in the support platform and facing different road surfaces, and a camera arranged in the support platform, wherein a red light, a green light, a yellow light and a display screen are arranged in the control panels at intervals, and the method comprises the following steps: step S101: when the fact that a red light in a control panel corresponding to a certain road surface is turned on is determined, a camera is used for shooting pictures of vehicles stopped in the road surface towards the road surface; step S102: identifying all vehicles stopping in line in the road surface from the picture, and identifying the vehicles stopping in line in each lane in the road surface; step S103: counting the total length of the queued vehicles stopped on each lane; step S104: judging whether the length of the queuing vehicle stopped by the lane with the longest total length of the stopped queuing vehicle is larger than a preset length value or not; step S105: if yes, providing a new light-on time length mode for the green light in the corresponding control panel, wherein the light-on time length of the new light-on time length mode is longer than the normal light-on time length; step S106: and when the green light in the corresponding control panel is lighted in a new lighting time length mode, the red lights of other control panels are kept on, and the display screen on the control panel displays the same time length as the green light.

Further, the method further comprises: when it is determined from the picture that the vehicle having a relatively high height blocks the following vehicle and cannot recognize the following vehicle, the support table is controlled to ascend, and the camera is used to capture a picture of the vehicle whose road surface is stopped on the road surface again, and the process continues to step S102.

Further, the road surface includes first road surface, second road surface and third road surface, and the quantity of camera is only 1, and the camera rotates and sets up in the brace table, and the method still includes: when determining that the red light in the control panel corresponding to the first road surface is on, determining that the red light in the control panel corresponding to the second road surface is on, and determining that the green light in the control panel corresponding to the third road surface is on, when the time countdown for the red light on in the control panel corresponding to the first road surface is about to clear, when the time countdown for the red light on in the control panel corresponding to the second road surface is about to clear, and when the time countdown for the green light on in the control panel corresponding to the third road surface is about to clear, the camera is used for shooting a first road surface picture of a first road surface towards the first road surface, when the camera finishes shooting the first road surface picture, the camera is rotated to face a second road surface, and the camera is used for shooting a second road surface picture of the second road surface towards the second road surface, when the camera finishes shooting the second road surface picture, rotating to face a third road surface, and shooting a third road surface picture of the third road surface towards the third road surface by using the camera; analyzing the vehicle conditions in the first road picture, the second road picture and the third road picture; when the first road surface is analyzed from the first road surface picture, the first road surface does not stop vehicles or stops few vehicles, the second road surface is analyzed from the second road surface picture, the second road surface does not stop vehicles or stops few vehicles, the third road surface is analyzed from the third road surface picture, the number of the vehicles stopping is more than that of the vehicles stopping, the time of the red light in the control panel corresponding to the first road surface is prolonged, the time of the red light in the control panel corresponding to the second road surface is prolonged, and the time of the green light in the control panel corresponding to the third road surface is prolonged.

Further, a first red light corresponding to the left-turn lane, a first green light corresponding to the left-turn lane, a first yellow light corresponding to the left-turn lane, a first red light corresponding to the middle lane, a first green light corresponding to the middle lane, a first yellow light corresponding to the middle lane, a first red light corresponding to the right-turn lane, a first green light corresponding to the right-turn lane and a first yellow light corresponding to the right-turn lane are arranged in the control panel, the on-off time of the first red light, the second red light and the third red light in the control panel is the same, the on-off time of the first green light, the second green light and the third green light in the control panel is the same, the on-off time of the first yellow light, the second yellow light and the third yellow light in the control panel is the same, and the method further comprises the following steps: when it is determined that a first red light corresponding to a left-turn lane, a second red light corresponding to a middle lane and a third red light corresponding to a right-turn lane are on, a camera in a control panel is used for shooting a road surface picture of a road surface corresponding to the control panel; analyzing a left-turn lane, a middle lane and a right-turn lane corresponding to the road surface in the road surface picture; recognizing vehicles in the road surface picture, and recognizing vehicles in a left-turn lane, a middle lane and a right-turn lane; counting the length of vehicle queues in the left-turn lane, the middle lane and the right-turn lane; judging whether the length of vehicle queue in the left-turn lane, the middle lane and the right-turn lane meets the standard length; if so, the first red light corresponding to the left-turn lane, the first green light corresponding to the left-turn lane, the first yellow light corresponding to the left-turn lane, the second red light corresponding to the middle lane, the second green light corresponding to the middle lane, the second yellow light corresponding to the middle lane, the third red light corresponding to the right-turn lane, the third green light corresponding to the right-turn lane and the third yellow light corresponding to the right-turn lane are turned on and off according to normal standard time.

Further, the method further comprises: if the length of the vehicle in the left-turn lane with the longest vehicle length is determined to be greater than the standard length of the left-turn lane and the lengths of the vehicles in the middle lane and the right-turn lane are determined to meet the standard length, the length of time that a first green light corresponding to the left-turn lane is turned on is prolonged; if the length of the vehicle in the middle lane with the longest vehicle length is determined to be greater than the middle standard length and the lengths of the vehicles in the left-turn lane and the right-turn lane are determined to meet the standard length, the duration of the second green light corresponding to the middle lane is prolonged; and if the length of the vehicle in the right-turn lane with the longest vehicle length is determined to be greater than the standard right-turn length and the lengths of the vehicles in the middle lane and the left-turn lane are determined to meet the standard length, prolonging the time length for which the third green light corresponding to the right-turn lane is turned on.

Further, the method further comprises: if the length of the vehicle in the left-turn lane with the longest vehicle length is determined to be smaller than the standard length of the left-turn lane and the lengths of the vehicles in the middle lane and the right-turn lane are determined to meet the standard length, the length of time that a first green light corresponding to the left-turn lane is turned on is shortened; if the length of the vehicle in the middle lane with the longest vehicle length is determined to be smaller than the middle standard length and the lengths of the vehicles in the left-turn lane and the right-turn lane are determined to meet the standard length, the duration of the second green light corresponding to the middle lane is shortened; and if the length of the vehicle in the right-turn lane with the longest vehicle length is determined to be less than the standard length of the right-turn lane and the lengths of the vehicles in the middle lane and the left-turn lane are determined to meet the standard length, shortening the time length for which the third green light corresponding to the right-turn lane is turned on.

Further, the method further comprises: when a special vehicle with a relatively high height is analyzed from the picture, and the area of the special vehicle blocks most of the upper area on the lane of the picture, the vehicle is determined to block the rear vehicle.

The invention has the beneficial effects that: different from the situation of the prior art, the intelligent control method based on the intelligent urban traffic light disclosed by the invention comprises the following steps: when the red light in the control panel corresponding to a certain road surface is determined to be on, shooting pictures of queued vehicles stopped in the road surface towards the road surface by using a camera; identifying all vehicles stopped in the road surface from the picture, and identifying queued vehicles stopped in each lane of the road surface; counting the total length of the queued vehicles stopped on each lane; judging whether the length of the queuing vehicle stopped by the lane with the longest total length of the stopped queuing vehicle is larger than a preset length value or not; if yes, providing a new light-on time length mode for the green light in the corresponding control panel, wherein the light-on time length of the new light-on time length mode is longer than the normal light-on time length; and when the green light in the corresponding control panel is lighted in a new lighting time length mode, the red lights of other control panels are kept on, and the display screen on the control panel displays the same time length as the green light. Through the mode, the on-off time of the traffic lights can be controlled according to the queuing length of the vehicles, the on-off time of the green lights is prolonged when the queuing length of the vehicles is longer, the on-off time of the green lights is shortened when the queuing length of the vehicles is shorter, the flexibility is high, the intelligence is high, and the high-quality requirement of a smart city can be met.

Drawings

FIG. 1 is a schematic flow chart of the intelligent control method based on intelligent urban traffic lights.

Detailed Description

Referring to fig. 1, the intelligent control method based on smart city traffic lights includes the following steps:

step S101: when the red light in the control panel corresponding to a certain road surface is determined to be on, a picture of the vehicle stopped in the road surface is shot towards the road surface by using the camera.

In this embodiment, this traffic light is including the brace table that the liftable set up, set up in the brace table and towards a plurality of control panel and the camera of setting in the brace table on different road surfaces. Specifically, when the traffic light is positioned at the crossroad, the support table can be arranged at the center of the crossroad in a lifting manner, the number of the road surfaces is four, the number of the control panels is four, and the number of the cameras is four.

Preferably, the control panel is provided with a red light, a green light, a yellow light and a display screen at intervals, and the display screen is used for displaying the time when the red light and the green light are on.

Step S102: from the picture, all the vehicles stopped in line in the road surface are identified, and the vehicles stopped in line in each lane in the road surface are identified. It should be understood that the roadway includes a plurality of lanes.

Step S103: the total length of the queued vehicles stopped on each lane is counted.

Step S104: and judging whether the length of the queued vehicle stopped by the lane with the longest total length of the stopped queued vehicles is larger than a preset length value.

Step S105: if yes, a new light-on duration mode is provided for the green light in the corresponding control panel.

Preferably, the new lighting time period mode has a lighting time period longer than the normal lighting time period.

Further, if it is determined that the length of the in-line vehicle stopped on the lane having the longest total length of the stopped in-line vehicles is not greater than the preset length value, the control panel is caused to provide a policy lighting duration for the green light.

Step S106: and when the green light in the corresponding control panel is lighted in a new lighting time length mode, the red lights of other control panels are kept on, and the display screen on the control panel displays the same time length as the green light.

Further, the intelligent control method based on the intelligent urban traffic light further comprises the following steps: when it is determined from the picture that the vehicle having a relatively high height blocks the following vehicle and cannot recognize the following vehicle, the support table is controlled to ascend, and the camera is used to capture a picture of the vehicle whose road surface is stopped on the road surface again, and the process continues to step S102. It should be understood that if the height of the vehicle is relatively high, the camera is blocked so that the camera cannot photograph the vehicle behind the vehicle with the relatively high height, and thus in order to solve this problem, the height of the camera may be increased to solve the problem.

It should be noted that when the outline of a certain vehicle is found in the picture to occupy a certain lane of the road surface in the picture, the vehicle is higher, and the following vehicle is blocked.

Further, the intelligent control method based on the intelligent urban traffic light further comprises the following steps: when a special vehicle with a relatively high height is analyzed from the picture, and the area of the special vehicle blocks most of the upper area on the lane of the picture, the vehicle is determined to block the rear vehicle.

In some embodiments, a first red light corresponding to a left-turn lane, a first green light corresponding to a left-turn lane, a first yellow light corresponding to a left-turn lane, a first red light corresponding to a middle lane, a first green light corresponding to a middle lane, a first yellow light corresponding to a middle lane, a first red light corresponding to a right-turn lane, a first green light corresponding to a right-turn lane and a first yellow light corresponding to a right-turn lane are provided in the control panel, the first red light, the second red light and the third red light in the control panel have the same on-off time, the first green light, the second green light and the third green light in the control panel have the same on-off time, and the first yellow light, the second yellow light and the third yellow light in the control panel have the same on-off time.

The intelligent control method based on the intelligent urban traffic light further comprises the following steps:

step S201: when the first red light corresponding to the left-turning lane, the second red light corresponding to the middle lane and the third red light corresponding to the right-turning lane are determined to be on, a camera in the control panel is used for shooting a road surface picture of a road surface corresponding to the control panel.

Step S202: and analyzing a left-turn lane, a middle lane and a right-turn lane corresponding to the road surface in the road surface picture.

Step S203: vehicles in the road surface picture are identified, and vehicles in a left-turn lane, a middle lane and a right-turn lane are identified.

Step S204: and counting the length of vehicle queue in the left-turn lane, the middle lane and the right-turn lane.

Step S205: and judging whether the queuing lengths of the vehicles in the left-turn lane, the middle lane and the right-turn lane meet the standard length.

Step S206: if so, the first red light corresponding to the left-turn lane, the first green light corresponding to the left-turn lane, the first yellow light corresponding to the left-turn lane, the second red light corresponding to the middle lane, the second green light corresponding to the middle lane, the second yellow light corresponding to the middle lane, the third red light corresponding to the right-turn lane, the third green light corresponding to the right-turn lane and the third yellow light corresponding to the right-turn lane are turned on and off according to normal standard time.

Further, the intelligent control method based on the intelligent urban traffic light further comprises the following steps:

step S207: and if the length of the vehicle in the left-turn lane with the longest vehicle length is determined to be greater than the standard length of the left-turn lane and the lengths of the vehicles in the middle lane and the right-turn lane are determined to meet the standard length, prolonging the time length for which the first green light corresponding to the left-turn lane is turned on.

Step S208: and if the length of the vehicle in the middle lane with the longest vehicle length is determined to be greater than the middle standard length and the lengths of the vehicles in the left-turn lane and the right-turn lane are determined to meet the standard length, prolonging the time length for which the second green light corresponding to the middle lane is turned on.

Step S209: and if the length of the vehicle in the right-turn lane with the longest vehicle length is determined to be greater than the standard right-turn length and the lengths of the vehicles in the middle lane and the left-turn lane are determined to meet the standard length, prolonging the time length for which the third green light corresponding to the right-turn lane is turned on.

Further, the intelligent control method based on the intelligent urban traffic light further comprises the following steps:

step S210: and if the length of the vehicle in the left-turn lane with the longest vehicle length is determined to be less than the standard length of the left-turn lane and the lengths of the vehicles in the middle lane and the right-turn lane are determined to meet the standard length, shortening the time length for which the first green light corresponding to the left-turn lane is turned on.

Step S211: and if the length of the vehicle in the middle lane with the longest vehicle length is determined to be less than the middle standard length and the lengths of the vehicles in the left-turn lane and the right-turn lane are determined to meet the standard length, shortening the time length for which the second green light corresponding to the middle lane is turned on.

Step S212: and if the length of the vehicle in the right-turn lane with the longest vehicle length is determined to be less than the standard length of the right-turn lane and the lengths of the vehicles in the middle lane and the left-turn lane are determined to meet the standard length, shortening the time length for which the third green light corresponding to the right-turn lane is turned on.

That is to say, this embodiment can be according to the long team of lining up of vehicle and control the bright of traffic lights and go out, and is more nimble, more humanized.

In addition, in some embodiments, the road surface comprises a first road surface, a second road surface and a third road surface, namely the road surface is a three-way road, the number of the cameras is only 1, and the cameras are rotatably arranged in the support platform. In addition, the intelligent control method based on the intelligent urban traffic light further comprises the following steps:

step S301: when determining that the red light in the control panel corresponding to the first road surface is on, determining that the red light in the control panel corresponding to the second road surface is on, and determining that the green light in the control panel corresponding to the third road surface is on, when the time countdown for the red light on in the control panel corresponding to the first road surface is about to clear, when the time countdown for the red light on in the control panel corresponding to the second road surface is about to clear, and when the time countdown for the green light on in the control panel corresponding to the third road surface is about to clear, the camera is used for shooting a first road surface picture of a first road surface towards the first road surface, when the camera finishes shooting the first road surface picture, the camera is rotated to face a second road surface, and the camera is used for shooting a second road surface picture of the second road surface towards the second road surface, when the camera finishes shooting the second road surface picture, rotating to face a third road surface, and shooting a third road surface picture of the third road surface towards the third road surface by using the camera;

step S302: and analyzing the vehicle conditions in the first road picture, the second road picture and the third road picture.

Step S303: when the first road surface is analyzed from the first road surface picture, the first road surface does not stop vehicles or stops few vehicles, the second road surface is analyzed from the second road surface picture, the second road surface does not stop vehicles or stops few vehicles, the third road surface is analyzed from the third road surface picture, the number of the vehicles stopping is more than that of the vehicles stopping, the time of the red light in the control panel corresponding to the first road surface is prolonged, the time of the red light in the control panel corresponding to the second road surface is prolonged, and the time of the green light in the control panel corresponding to the third road surface is prolonged.

The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.