CN114973709A - Intelligent control system and control method for urban traffic lights - Google Patents
Intelligent control system and control method for urban traffic lights Download PDFInfo
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- CN114973709A CN114973709A CN202210608853.8A CN202210608853A CN114973709A CN 114973709 A CN114973709 A CN 114973709A CN 202210608853 A CN202210608853 A CN 202210608853A CN 114973709 A CN114973709 A CN 114973709A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/085—Controlling traffic signals using a free-running cyclic timer
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an intelligent control system and a control method for urban traffic lights, wherein the control system comprises traffic lights arranged at each intersection, a vehicle identification device and a microprocessor; the vehicle identification device is used for acquiring real-time traffic flow from a lane behind a stop line of the intersection to each direction; the microprocessor is connected with the corresponding vehicle identification device and is used for receiving the real-time traffic flow of each direction of the intersection; the microprocessor of the intersection is connected with the microprocessors of two adjacent intersections, so that the microprocessor of the intersection can receive the traffic information from the previous intersection to the intersection and can send the traffic information in each direction to the corresponding next intersection; the traffic information comprises traffic flow and decision data; the microprocessor is connected with the corresponding traffic light, and the microprocessor makes corresponding decisions according to the four factors so as to control the traffic light. The control system can effectively ensure that the vehicles pass through at high efficiency, avoids blockage caused by traffic lights, and can remotely control the red and green lights of the road in emergency.
Description
Technical Field
The invention belongs to the technical field of urban traffic, and particularly relates to an intelligent control system and method for urban traffic lights.
Background
With the continuous popularization of motor vehicles, congestion frequently occurs at intersections of various large cities, and particularly the congestion is more serious in the time periods of early peak and late peak. Sometimes we see: the traffic flow in the red light direction is larger, the traffic flow in the green light direction is very small, and the traffic flow is not adaptive to the traffic light condition, so that the traffic jam is caused. Although the modes of tidal lanes, traffic control and the like are adopted to relieve congestion, the situation that roads are not fully utilized still occurs at some intersections.
The traditional traffic control system adopts a fixed timing scheme, and traffic lights are arranged at intersections, and the turn-on time of the traffic lights is fixedly set. There are many times when efficient vehicle passage has not been met. Subsequently, a technical solution has been developed to reduce unnecessary waiting time of vehicles by controlling traffic lights in a manner of detecting traffic flow. For example, chinese patent CN202110695666.3 discloses a traffic light control method and device, which changes the time of a traffic light when the traffic flow meets a preset condition by detecting the traffic flow, thereby improving the passing efficiency. And when the preset condition is not met, controlling according to the default condition. The system judges conditions only according to the flow of the intersection, does not link with the information of surrounding intersections, cannot analyze the traffic flow information of the intersection, and wastes valuable data.
Therefore, there is a need to develop an intelligent traffic light control method and system, which can allow vehicles to pass through efficiently, collect traffic flow information at intersections for analysis, and remotely control the intersections in emergency.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent control system and a control method for urban traffic lights, wherein the control system can effectively ensure that vehicles pass through efficiently, avoid blockage caused by the traffic lights and can remotely control the red and green lights of the road in an emergency.
The technical scheme of the invention is realized as follows:
an intelligent control system for urban traffic lights comprises traffic lights arranged at each intersection, and also comprises a vehicle identification device and a microprocessor which are arranged at each intersection.
The vehicle identification device is used for acquiring real-time traffic flow from the lane behind the stop line of the intersection to all directions.
The microprocessor is connected with the corresponding vehicle identification device and is used for receiving the real-time traffic flow of each direction at the intersection.
The microprocessor of the intersection is connected with the microprocessors of two adjacent intersections, so that the microprocessor of the intersection can receive the traffic information from the previous intersection to the intersection in real time and send the traffic information in each direction of the intersection to the corresponding next intersection; the traffic information includes traffic flow and decision data.
The microprocessor is connected with the corresponding traffic light, and the microprocessor makes corresponding decisions according to the historical traffic flow data of the intersection, the jammed vehicle threshold, the real-time traffic flow and the traffic flow information of the previous intersection so as to control the traffic light.
Furthermore, each microprocessor is provided with a receiving module, a sending module, a storage module and a decision module, wherein the receiving module is used for receiving the real-time traffic flow of each direction of the intersection and the traffic flow information from the previous intersection to the intersection; the sending module is used for sending the traffic information of each direction of the intersection to the corresponding next intersection, and the storage module is used for storing the historical traffic data and the congestion vehicle threshold value of each direction of the intersection; the decision module is provided with a decision model, and the decision model comprises a plurality of processing decisions which are preset according to the historical traffic flow data of the intersection, the congestion vehicle threshold, the real-time traffic flow and the traffic flow information of the previous intersection and correspond to one another one by one.
The system further comprises a server, wherein the server is connected with all the microprocessors and is used for receiving the real-time traffic flow and decision data of each intersection, so that the traffic flow data of each intersection can be conveniently analyzed; and meanwhile, in an emergency situation, the server sends control information and controls the corresponding traffic lights through the corresponding microprocessor.
Further, the vehicle recognition device comprises a camera and a calculation module, wherein the camera is used for collecting images of all directions of a lane behind a stop line, and the calculation module is used for calculating real-time traffic flow of all directions based on the images.
The invention also provides an intelligent control method of the urban traffic lights, which comprises the following steps:
s1: the vehicle-mounted identification device and the microprocessor in the urban traffic light intelligent control system are arranged at each intersection;
s2: judging whether control information from the server exists or not, if so, controlling the traffic light by the microprocessor corresponding to the intersection according to the control information of the server, and if not, entering S3;
s3: acquiring real-time traffic flow of each direction of an intersection and traffic flow information of adjacent intersections, wherein the traffic flow information comprises the traffic flow and decision information of the intersection;
s4: and making corresponding decisions according to historical traffic flow data of the corresponding intersection, the threshold value of the jammed vehicles, the real-time traffic flow and traffic flow information of the adjacent intersection so as to control the traffic lights.
Further, the intersection is one of an intersection, a T-shaped intersection or a Y-shaped intersection.
Further, the real-time traffic flow in step S3 is also stored in the corresponding microprocessor as historical traffic flow data, and is also uploaded to the server, so as to facilitate analysis of the traffic flow data at the intersection.
Further, when the traffic lights are controlled, the control is realized by prolonging or shortening the time of the green lights.
Further, the congested vehicle threshold may be adjusted by a server.
Further, S5 is included, the real-time traffic flow and decision information of each direction of the intersection are correspondingly transmitted to the microprocessor of the next adjacent intersection in real time.
Compared with the prior art, the invention has the following beneficial effects:
1. the traffic light is controlled by making a decision based on historical traffic flow data of the intersection, a congested vehicle threshold, real-time traffic flow and traffic flow information of an adjacent intersection, and high-efficiency passing of vehicles is effectively guaranteed.
2. The vehicle-mounted identification device and the microprocessor are arranged at the intersection, the microprocessor only analyzes and processes the traffic flow information of the intersection and the adjacent intersections and then makes corresponding decisions, so that the hardware requirements are effectively reduced, and meanwhile, the microprocessor and the vehicle-mounted identification device are arranged at the near end, so that the transmission path of data is reduced, the real-time performance of the data is improved, and the real-time performance and the effectiveness of controlling the traffic lights are improved.
3. The invention can effectively collect and analyze the traffic flow data of each intersection, and can remotely control the traffic lights through the server under the emergency condition to ensure the high-efficiency passing of the emergency vehicles.
Drawings
FIG. 1 is a schematic diagram of the architecture of the control system of the present invention.
Fig. 2-internal information flow diagram of the control system.
Fig. 3-a flow chart of the control method of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, an intelligent control system for urban traffic lights comprises traffic lights arranged at each intersection, and further comprises vehicle identification devices and microprocessors arranged at each intersection.
The vehicle identification device is used for acquiring real-time traffic flow from the lane behind the stop line of the intersection to all directions.
The microprocessor is connected with the corresponding vehicle identification device and is used for receiving the real-time traffic flow of each direction of the intersection.
The microprocessor of the intersection is connected with the microprocessors of two adjacent intersections, so that the microprocessor of the intersection can receive the traffic information from the previous intersection to the intersection in real time and send the traffic information in each direction of the intersection to the corresponding next intersection; the traffic information includes traffic flow and decision data.
The microprocessor is connected with the corresponding traffic light, and the microprocessor makes corresponding decisions according to the historical traffic flow data of the intersection, the jammed vehicle threshold, the real-time traffic flow and the traffic flow information of the previous intersection so as to control the traffic light.
At least one previous road junction and at least one next road junction of the road junction are provided, the received traffic information is the traffic information from the previous road junction to the road junction, and meanwhile, the traffic information in the direction of the road junction is sent to the corresponding next road junction.
For an individual intersection, the internal information flow diagram of the control system is shown in fig. 2, when the control system is applied, only the vehicle-mounted identification device and the microprocessor are needed to be arranged at the intersection, the microprocessor only analyzes and processes the traffic flow information of the intersection and the adjacent intersections, and then corresponding decisions are made, so that the hardware requirements are effectively reduced, meanwhile, the microprocessor and the vehicle-mounted identification device are arranged at the near end, the data transmission path is reduced, the real-time performance of data is improved, and the real-time performance and the effectiveness of traffic light control are improved.
In specific implementation, each microprocessor is provided with a receiving module, a sending module, a storage module and a decision module, wherein the receiving module is used for receiving real-time traffic flow in each direction of the intersection and traffic flow information from the previous intersection to the intersection; the sending module is used for sending the traffic information of each direction of the intersection to the corresponding next intersection, and the storage module is used for storing the historical traffic data and the congestion vehicle threshold value of each direction of the intersection; the decision module is provided with a decision model, and the decision model comprises a plurality of processing decisions which are preset according to the historical traffic flow data of the intersection, the congestion vehicle threshold, the real-time traffic flow and the traffic flow information of the previous intersection and correspond to one another one by one.
The decision model is a processing decision designed according to four factors of historical traffic flow data, a congested vehicle threshold, real-time traffic flow and traffic flow information of an adjacent intersection, the processing decision can be changed as long as a certain factor changes, and the traffic lights can be controlled more effectively by considering the four factors. For example, the intersection has straight lines and right turns, and the right turns are more in demand now but do not reach the threshold of congestion. But according to historical traffic flow data, the vehicles which go straight after 5 minutes according to the rule are more blocked. And by adding the traffic flow and decision data of the adjacent intersections, the straight-going vehicles can far exceed the threshold value after 5 minutes. The green time for straight travel can now be increased, thereby reducing or even eliminating congestion for straight travel vehicles after 5 minutes.
When the system is specifically implemented, the system also comprises a server which is connected with all the microprocessors and is used for receiving the real-time traffic flow and decision data of each intersection, so that the traffic flow data of each intersection can be conveniently analyzed; and meanwhile, in an emergency situation, the server sends control information and controls the corresponding traffic lights through the corresponding microprocessor.
The server can analyze the traffic flow data of each intersection to provide data support for the aspects of city development, road construction and the like. In the emergency situation, such as emergency vehicle passing, the traffic light can be remotely controlled through the server, a green channel is rapidly opened, and the rapid passing of emergency vehicles is ensured.
In specific implementation, the vehicle recognition device comprises a camera and a calculation module, wherein the camera is used for collecting images of all directions of a lane behind a stop line, and the calculation module is used for calculating real-time traffic flow of all directions based on the images.
An intelligent control method for urban traffic lights is shown in a flow chart of fig. 3, and specifically comprises the following steps:
s1: the vehicle-mounted identification device and the microprocessor in the urban traffic light intelligent control system are arranged at each intersection;
s2: judging whether control information from the server exists or not, if so, controlling the traffic light by the microprocessor corresponding to the intersection according to the control information of the server, and if not, entering S3;
s3: the method comprises the steps of obtaining real-time traffic flow of each direction of an intersection and traffic flow information of an adjacent intersection, wherein the traffic flow information comprises the traffic flow and decision information of the intersection;
s4: and making corresponding decisions according to historical traffic flow data of the corresponding intersection, the threshold value of the jammed vehicles, the real-time traffic flow and traffic flow information of the adjacent intersection so as to control the traffic lights.
Therefore, each vehicle-mounted identification device and each microprocessor in the control system are arranged at the intersection, so that the time for sending data to the server and returning the data can be saved, and the real-time performance and the response speed of the system are effectively improved. Meanwhile, the control method only relates to the analysis and processing of the data of the intersection and the adjacent intersections, so that a real-time decision can be made, and the hardware requirement is reduced.
In specific implementation, the intersection is one of a crossroad, a T-shaped intersection or a Y-shaped intersection.
In specific implementation, the real-time traffic flow in step S3 is further stored in the microprocessor as historical traffic flow data, and is also uploaded to the server, so as to facilitate analysis of the traffic flow data at the intersection.
In specific implementation, when the traffic lights are controlled, the control is realized by prolonging or shortening the time of the green lights.
In specific implementation, the congestion vehicle threshold value can be adjusted through a server.
When the method is concretely implemented, the method also comprises S5, and the real-time traffic flow and the decision information of each direction of the intersection are correspondingly transmitted to the microprocessor of the next adjacent intersection in real time.
Therefore, the microprocessor of the next intersection can make a decision based on the historical traffic flow data, the congestion vehicle threshold value, the real-time traffic flow and the traffic flow information of the previous intersection, and the smooth road is ensured.
Finally, it should be noted that the above-mentioned examples of the present invention are only examples for illustrating the present invention, and are not intended to limit the embodiments of the present invention. Variations and modifications in other variations will occur to those skilled in the art upon reading the foregoing description. Not all embodiments are exhaustive. All obvious changes and modifications of the present invention are within the scope of the present invention.
Claims (10)
1. An intelligent control system for urban traffic lights comprises traffic lights arranged at each intersection, and is characterized by comprising a vehicle identification device and a microprocessor which are arranged at each intersection;
the vehicle identification device is used for acquiring real-time traffic flow from a lane behind a stop line of the intersection to each direction;
the microprocessor is connected with the corresponding vehicle identification device and is used for receiving the real-time traffic flow of each direction at the intersection;
the microprocessor of the intersection is connected with the microprocessors of two adjacent intersections, so that the microprocessor of the intersection can receive the traffic information from the previous intersection to the intersection in real time and send the traffic information in each direction of the intersection to the corresponding next intersection; the traffic information comprises traffic flow and decision data;
the microprocessor is connected with the corresponding traffic light, and the microprocessor makes corresponding decisions according to the historical traffic flow data of the intersection, the jammed vehicle threshold, the real-time traffic flow and the traffic flow information of the previous intersection so as to control the traffic light.
2. The intelligent control system for the urban traffic lights according to claim 1, wherein each microprocessor is provided with a receiving module, a sending module, a storage module and a decision module, wherein the receiving module is used for receiving real-time traffic flow in each direction of the intersection and traffic flow information from the previous intersection to the intersection; the sending module is used for sending the traffic information of each direction of the intersection to the corresponding next intersection, and the storage module is used for storing the historical traffic data and the congestion vehicle threshold value of each direction of the intersection; the decision module is provided with a decision model, and the decision model comprises a plurality of processing decisions which are preset according to the historical traffic flow data of the intersection, the congestion vehicle threshold, the real-time traffic flow and the traffic flow information of the previous intersection and correspond to one another one by one.
3. The intelligent control system for the urban traffic lights according to claim 2, further comprising a server, wherein the server is connected with all the microprocessors and is used for receiving real-time traffic flow and decision data of each intersection so as to facilitate analysis of the traffic flow data of each intersection; and in case of emergency, the server sends control information and controls the corresponding traffic lights through the corresponding microprocessor.
4. The intelligent control system for urban traffic lights according to claim 3, wherein the vehicle identification device comprises a camera and a calculation module, the camera is used for collecting images of all directions of a lane behind a stop line, and the calculation module is used for calculating real-time traffic flow of all directions based on the images.
5. An intelligent control method for urban traffic lights is characterized by comprising the following steps:
s1: installing a vehicle-mounted identification device and a microprocessor in the intelligent control system for the urban traffic lights, which are disclosed by claim 4, at each intersection;
s2: judging whether control information from the server exists or not, if so, controlling the traffic light by the microprocessor corresponding to the intersection according to the control information of the server, and if not, entering S3;
s3: acquiring real-time traffic flow of each direction of an intersection and traffic flow information of adjacent intersections, wherein the traffic flow information comprises the traffic flow and decision information of the intersection;
s4: and making corresponding decisions according to historical traffic flow data of the corresponding intersection, the threshold value of the jammed vehicles, the real-time traffic flow and traffic flow information of the adjacent intersection so as to control the traffic lights.
6. The intelligent control method for urban traffic lights according to claim 5, wherein the intersection is one of an intersection, a T-junction or a Y-junction.
7. The intelligent control method for the urban traffic lights according to claim 5, wherein the real-time traffic flow in the step S3 is further stored in a corresponding microprocessor as historical traffic flow data and is also uploaded to a server for analysis of the traffic flow data at the intersection.
8. The intelligent control method for the urban traffic lights according to claim 5, wherein the control of the traffic lights is realized by prolonging or shortening the green light time.
9. The intelligent control method for urban traffic lights according to claim 5, wherein the congestion vehicle threshold value can be adjusted through a server.
10. The intelligent control method for urban traffic lights according to claim 5, further comprising S5, wherein the real-time traffic flow and decision information of each direction of the intersection are correspondingly transmitted to the microprocessor of the next adjacent intersection in real time.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117727190A (en) * | 2024-02-05 | 2024-03-19 | 浙江黄氏建设科技股份有限公司 | Method and system for controlling shunting traffic lights of smart city vehicles |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112885098A (en) * | 2021-02-24 | 2021-06-01 | 郑州大学 | Distributed intelligent traffic control system |
| CN113178086A (en) * | 2021-04-21 | 2021-07-27 | 杭州达港电气有限公司 | Control device and method for realizing regional traffic green wave band based on traffic flow sensor |
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- 2022-05-31 CN CN202210608853.8A patent/CN114973709A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112885098A (en) * | 2021-02-24 | 2021-06-01 | 郑州大学 | Distributed intelligent traffic control system |
| CN113178086A (en) * | 2021-04-21 | 2021-07-27 | 杭州达港电气有限公司 | Control device and method for realizing regional traffic green wave band based on traffic flow sensor |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117727190A (en) * | 2024-02-05 | 2024-03-19 | 浙江黄氏建设科技股份有限公司 | Method and system for controlling shunting traffic lights of smart city vehicles |
| CN117727190B (en) * | 2024-02-05 | 2024-05-03 | 浙江黄氏建设科技股份有限公司 | Method and system for controlling shunting traffic lights of smart city vehicles |
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