CN112309146A - Intelligent control method and system of traffic signal lamp, storage medium and computing equipment - Google Patents
Intelligent control method and system of traffic signal lamp, storage medium and computing equipment Download PDFInfo
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- CN112309146A CN112309146A CN202011171429.9A CN202011171429A CN112309146A CN 112309146 A CN112309146 A CN 112309146A CN 202011171429 A CN202011171429 A CN 202011171429A CN 112309146 A CN112309146 A CN 112309146A
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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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- 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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Abstract
The invention provides an intelligent control method and system of traffic signal lamps, a storage medium and computing equipment, wherein the method comprises the following steps: acquiring operation parameters of a traffic signal lamp; judging whether the traffic signal lamp has a preset starting condition of a double-track working mode or not according to the running parameters of the traffic signal lamp; and if the traffic signal lamp has the starting condition of the preset double-track working mode, controlling the traffic signal lamp to operate in the preset double-track working mode. Based on the method provided by the invention, a visual intelligent identification technology and a traditional static time allocation mechanism are considered, the prompting color of the traffic signal lamp is controlled by a control strategy of double-track working, the allocation efficiency of the whole road system resource can be improved to a certain extent, and the road use experience of pedestrians and vehicles is also improved.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent control method and system of a traffic signal lamp, a storage medium and computing equipment.
Background
The traffic signal lamp is a signal lamp for commanding traffic operation and generally consists of a red lamp, a green lamp and a yellow lamp. The red light indicates no traffic, the green light indicates permission, and the yellow light indicates warning.
The existing traffic signal lamp system is a working device which is planned based on a static time interval scheduling algorithm and switches the color of a signal lamp according to a preset time period. The biggest disadvantage of such a planning algorithm is that it is not possible to dynamically adapt to changes and fluctuations in traffic and traffic flows. At some traffic light intersections, the condition that pedestrians are clearly absent but vehicles still have to wait for the red light of the previous section or pedestrians have to wait for the vehicles are clearly absent often occurs.
Meanwhile, with the development of cities and areas, the flow of people and the traffic flow also change dynamically, the original static system cannot adapt to the characteristic, and the preset algorithm of the system is out of date slowly.
Disclosure of Invention
In view of the above, the present invention has been made to provide an intelligent control method and system of a traffic signal, a storage medium, and a computing device that overcome or at least partially solve the above-mentioned problems.
According to an aspect of the present invention, there is provided an intelligent control method of a traffic signal lamp, including:
acquiring operation parameters of a traffic signal lamp;
judging whether the traffic signal lamp has a preset starting condition of a double-track working mode or not according to the running parameters of the traffic signal lamp;
if the traffic signal lamp has the starting condition of the preset double-track working mode, controlling the traffic signal lamp to operate in the preset double-track working mode;
and under the double-track working mode, the color control mechanism of the traffic signal lamp is switched between a preset static time distribution mechanism and a visual dynamic control mechanism according to the image information in the preset range of the traffic signal lamp.
Optionally, the acquiring the operation parameters of the traffic signal lamp includes:
acquiring network connection parameters of the traffic signal lamp; and/or
Acquiring working parameters of hardware equipment of the traffic signal lamp; and/or
Acquiring image identification parameters of processing equipment in the traffic signal lamp;
wherein the hardware device comprises at least one of an image acquisition device and a light emitting device.
Optionally, the controlling the traffic signal lamp to operate in a preset dual-rail operating mode includes:
collecting image information of a plurality of angles in a preset range of the traffic signal lamp;
identifying the number of pedestrians and the number of vehicles in the image information;
and controlling the prompting color of the traffic signal lamp according to the number of the pedestrians and the number of the vehicles and a preset static time distribution mechanism or a visual dynamic control mechanism.
Optionally, the identifying the number of pedestrians and the number of vehicles in the image information includes:
identifying a plurality of identification objects corresponding to different object types in the image information through a target detection algorithm, and acquiring the confidence of each identification object; wherein the object class comprises at least one of an animal, a pedestrian, a vehicle;
selecting a plurality of first objects with the confidence degrees larger than a preset threshold value from the plurality of identification objects according to the confidence degrees of the identification objects;
identifying and screening out repeated objects in the plurality of first objects to obtain target objects;
and counting the number of pedestrians and the number of vehicles in the target object.
Optionally, the controlling the traffic signal light prompting color according to the number of pedestrians and the number of vehicles according to a preset static time allocation mechanism or a visual dynamic control mechanism includes:
judging whether the traffic road has pedestrians and vehicles according to the number of the pedestrians and the number of the vehicles;
if so, sequentially switching the prompting colors of the traffic signal lamps according to a preset static time distribution mechanism;
if not, controlling the prompting color of the traffic signal lamp according to a visual dynamic control mechanism; when the traffic road only has pedestrians, controlling the prompting color of the traffic signal lamp at the pedestrian side to be green; or when the traffic road only has vehicles, controlling the prompting color of the traffic signal lamp at the pedestrian side to be red.
Optionally, after determining whether the traffic signal lamp has the preset condition of the dual-rail operating mode according to the network and device states, the method further includes:
and if the traffic signal lamp does not have the preset starting condition of the double-track working mode, sequentially switching the prompting colors of the traffic signal lamp according to a preset static time distribution mechanism.
Optionally, the method further comprises:
and directionally updating the operation parameters of the traffic signal lamp through an over-the-air dynamic updating mechanism.
According to another aspect of the present invention, there is also provided a traffic signal lamp intelligent control system, including:
the acquisition module is suitable for acquiring the operation parameters of the traffic signal lamp;
the judging module is suitable for judging whether the traffic signal lamp has a preset starting condition of a double-track working mode according to the running parameters of the traffic signal lamp;
the first control module is suitable for setting the working mode of the traffic signal lamp to be a double-track working mode when the traffic signal lamp has a preset starting condition of the double-track working mode;
and under the double-track working mode, the color control mechanism of the traffic signal lamp is switched between a preset static time distribution mechanism and a visual dynamic control mechanism according to the image information in the preset range of the traffic signal lamp.
According to another aspect of the present invention, there is also provided a computer-readable storage medium for storing program code for executing the intelligent control method of a traffic signal lamp described in any one of the above.
According to another aspect of the invention, there is also provided a computing device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the intelligent control method of the traffic signal lamp according to the instructions in the program codes.
The invention provides an intelligent control method and system of a traffic signal lamp, a storage medium and computing equipment. According to the double-track working mode provided by the invention, the pedestrian and the vehicle are efficiently identified by adopting a visual intelligent identification technology to dynamically control the traffic signal lamp, meanwhile, the traditional static time allocation mechanism is considered, the prompting color of the traffic signal lamp is controlled by a control strategy of double-track working, the allocation efficiency of the whole road system resource can be improved to a certain extent, and the road use experience of pedestrians and vehicles is also improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating a method for intelligent control of a traffic signal according to an embodiment of the present invention;
FIG. 2 illustrates a schematic view of a traffic signal control scenario in accordance with an embodiment of the present invention;
FIG. 3 shows a schematic view of a traffic signal control scenario according to another embodiment of the present invention;
FIG. 4 is a flow chart illustrating a method for intelligent control of a traffic signal according to another embodiment of the present invention;
FIG. 5 is a schematic diagram of an intelligent control device for a traffic signal according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an intelligent control device of a traffic signal lamp according to another embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 is a schematic flow chart illustrating an intelligent control method for a traffic signal according to an embodiment of the present invention, and it can be seen from fig. 1 that the intelligent control method for a traffic signal according to an embodiment of the present invention at least includes the following steps S102 to S106.
And S102, acquiring the operation parameters of the traffic signal lamp.
In the embodiment of the present invention, before the traffic signal lamp is intelligently controlled, the operation parameters of the traffic signal lamp need to be acquired, and optionally, the acquisition of the network connection parameters of the traffic signal lamp, the acquisition of the working parameters of the hardware device of the traffic signal lamp, the acquisition of the image recognition parameters of the processing device in the traffic signal lamp, and the like may be included. The following respectively describes the specific process of acquiring the operation parameters of the traffic signal lamp in detail.
1. Obtaining network connection parameters of traffic signal lamps
In this embodiment, traffic signal lamp can and the high in the clouds central server between carry out communication connection to carry out data transmission, when acquireing traffic signal lamp's network connection parameter, can carry out network communication debugging with high in the clouds central server, guarantee to keep good communication connection between traffic signal lamp and the high in the clouds central server, provide the network communication basis for follow-up in traffic signal lamp's intelligent control in-process.
Optionally, a wireless communication module may be disposed in the traffic signal lamp, and when the network connection parameter of the traffic signal lamp is acquired, the network connection parameter may be acquired based on the wireless communication module.
2. Obtaining working parameters of hardware equipment of traffic signal lamp
Because the traffic signal lamp can emit red, green and yellow prompting colors, and the interior of the traffic signal lamp can be provided with the light-emitting equipment, when the working parameters of the hardware equipment of the traffic signal lamp are obtained, the working parameters of the light-emitting equipment can be obtained, namely the working parameters of whether the light-emitting equipment normally emits light or not is obtained.
In addition, the hardware device in this embodiment may further include an image acquisition device, configured to acquire image information within a preset range of the traffic signal lamp, for example, acquire image information of a traffic road governed by the traffic signal lamp to which the image acquisition device belongs. Therefore, when the working parameters of the hardware device of the traffic signal lamp are obtained, the working parameters of the image acquisition device are also required to be obtained so as to judge whether the image acquisition device can normally acquire the image information. The image acquisition device may be a camera device, or other relevant devices capable of acquiring images.
In practical application, because other device components may be further disposed in the traffic signal lamp, in addition to obtaining the working parameters of the light-emitting device and the image acquisition device, the working parameters of other hardware devices of the traffic signal lamp may also be obtained, which is not described herein again.
3. Obtaining image identification parameters of processing equipment in traffic signal lamp
The image recognition parameters of the processing device may include recognition accuracy of objects in the image information, and specifically, the processing device may perform object recognition on the image information acquired by the image acquisition device by using a preset object detection algorithm to identify each object contained therein. In this embodiment, the test picture may be pre-stored in the processing device, and the test picture may be communicated with the cloud center server by simulating a normal work flow, so that the image identification parameter of the processing device may be obtained according to the identification result and the related reaction action. The processing device may be a processor, processing chip or other component that may execute an image detection algorithm, and the processing device may be integrated into the traffic signal or a separately located device that interfaces with the traffic signal.
Based on the method provided by the embodiment of the invention, the operation parameters of the traffic signal lamp are acquired, so that an accurate judgment basis can be effectively provided for judging whether the traffic signal lamp normally operates. In practical application, the operation parameters of the traffic signal lamp can be periodically acquired during the initial working phase or the working relay phase of the traffic signal lamp. The above embodiments respectively describe obtaining the network connection parameters of the traffic signal lamp, the working parameters of the hardware device of the traffic signal lamp, and the image recognition parameters of the processing device in the traffic signal lamp, and in practical applications, when the operation parameters of the traffic signal lamp can be obtained, one or more of the parameters can be obtained. Preferably, when the operation parameters of the traffic signal lamp are acquired, the network connection parameters, the operating parameters of the hardware device, and the image recognition parameters of the processing device mentioned in the above embodiments are acquired at the same time. In addition, in addition to the acquisition of the network connection parameters, the hardware device parameters, and the algorithm accuracy of the processing device described in the above embodiment, the operation parameters of other aspects of the traffic signal lamp may also be acquired, which is not limited in the present invention.
And S104, judging whether the traffic signal lamp has a preset starting condition of the double-track working mode according to the running parameters of the traffic signal lamp.
In the step S102, the operation parameters of the traffic light are already obtained, and further, whether the traffic light has the preset starting condition of the dual-rail working mode may be determined according to the operation parameters of the traffic light.
In step S102, when the operation parameters of the traffic signal lamp are obtained, the network connection parameters of the traffic signal lamp, the working parameters of the hardware device of the traffic signal lamp, and the image identification parameters of the processing device in the traffic signal lamp may be obtained respectively.
Further, when judging whether the traffic signal lamp has the preset starting condition of the double-track working mode, the judgment can be carried out according to the acquired one or more operation parameters. Preferably, the operation parameters of each type can be used as a criterion for judging whether the traffic signal lamp has the preset starting condition of the double-track working mode. For example, when determining whether the traffic signal lamp has the preset starting condition of the dual-rail working mode, it is necessary to determine whether the network connection is normal according to the network connection parameters of the traffic signal lamp; judging whether the hardware equipment works normally according to the working parameters of the hardware equipment of the traffic signal lamp; and judging whether the processing equipment has certain identification accuracy when executing the target detection algorithm according to the image identification parameters of the processing equipment in the traffic signal lamp, wherein the three judging steps are required to be executed. If the results of the three judging steps are yes, judging that the traffic signal lamp has a preset starting condition of a double-track working mode; if the result of the three judging steps is negative, namely that any equipment in the traffic signal lamp is not in a normal working state, the traffic signal lamp can be judged to be not provided with the preset starting condition of the double-track working mode.
And S106, if the traffic signal lamp has the starting condition of the preset double-track working mode, controlling the traffic signal lamp to operate in the preset double-track working mode. In the double-track working mode, the color control mechanism of the traffic signal lamp is switched between a preset static time distribution mechanism and a visual dynamic control mechanism according to the image information in the preset range of the traffic signal lamp.
In the embodiment of the present invention, the dual-rail operating mode is a dual-rail mechanism based on a traditional static time allocation mechanism and a visual dynamic control mechanism based on an AI visual technique for target detection. The initial intention of the static time allocation mechanism is to ensure the use right of pedestrians and vehicles as fair as possible while maintaining the maximum traffic of road conditions.
When pedestrians and vehicles have a demand for highway use at the same time, a conventional static time allocation mechanism is required to ensure fairness. In general, the static time allocation mechanism stores the respective flashing times, flashing frequencies and switching sequences of the red light, the yellow light and the green light in advance. When the color control mechanism of the traffic signal lamp is a preset static time distribution mechanism, the red light, the yellow light and the green light can be prompted according to a preset switching sequence, the flashing time and the flashing frequency.
When the color control mechanism of the traffic signal lamp is a visual dynamic control mechanism, the prompting colors of the traffic signal and the like can be intelligently regulated and controlled according to the dynamic image of the traffic road, the current environment can be intelligently sensed and processed, and particularly, the AI identification capability of vehicles and pedestrians can be realized, and the intelligent switching of the traffic signal lamp can be realized.
In an optional embodiment of the present invention, the step S106 of controlling the traffic signal lamp to operate in the preset dual-rail operation mode may include:
s106-1, collecting image information of a plurality of angles in a preset range of the traffic signal lamp. When the image information is collected, the image information in a plurality of angles in a preset range of the traffic signal and in a set distance range from the traffic signal and the like may be collected, and the image information may include a plurality of single-frame image frames obtained at intervals or continuous image frames in a certain time period, which is not limited in the present invention.
S106-2, the number of pedestrians and the number of vehicles in the image information are identified.
When the number of pedestrians and the number of vehicles in the summary of the image information are identified, a target detection algorithm, such as an R-CNN series algorithm in a Two-stage method, and an ssd (single Shot multi box detector) algorithm, a yolo (you Only Look One) algorithm, and the like in an One-stage method, may be used. The specific identification process may be as follows:
step S1, a plurality of recognition objects corresponding to different object categories in the image information are recognized by the target detection algorithm, and the confidence of each recognition object is obtained. Wherein the object category comprises at least one of animals, pedestrians and vehicles.
In practical application, the target detection algorithm can respectively identify all objects in the image information, such as vehicles, animals, pedestrians and other objects, and can simultaneously output the confidence of each identified object, namely the accuracy of judgment.
In step S2, a plurality of first objects with a confidence level greater than a preset threshold are selected from the plurality of recognition objects according to the confidence level of each recognition object.
Since each recognition object has its own confidence, at this time, a recognition object whose confidence is greater than a preset threshold may be used as the first object. Optionally, the preset threshold may be 0.1-0.2, preferably 0.2, and when the confidence is less than or equal to the preset threshold, the corresponding recognition object may be considered as a false judgment, that is, ignored. In practical application, the preset threshold may also be set to other values according to different requirements, which is not limited in the present invention.
In step S3, a repeated object in the plurality of first objects is identified and screened out to obtain a target object.
When the target is detected based on the image information, the same identification object may be detected many times, and at this time, a repetitive object in the first object may be screened out by adopting a repetitive detection method, and specifically, a Non-Maximum Suppression (NMS) algorithm may be adopted to detect the repetitive object in the first object. Optionally, when the duplicate objects are screened, the threshold may be set to 0.45, and if the optimal result is to be guaranteed, the grid search may be performed to find the most accurate optimal value according to the test set.
In step S4, the number of pedestrians and the number of vehicles in the target object are counted.
After the identified objects are subjected to de-duplication screening, the number of pedestrians and the number of vehicles in the image information can be counted.
In the embodiment of the invention, the Yolo-v4 algorithm is preferentially adopted to identify the number of pedestrians and the number of vehicles in the image information, and the Yolo-v4 is the best model between high performance and high detection frame rate in the field of target detection at present. It can guarantee an ultra-high detection speed of 65 frames per second FPS with such a relatively high AP average accuracy of 43.5%. For signal lamp real-time detection, in addition to requiring relatively accurate detection precision, FPS (frame number of detection) is also an important index, the visual detection real-time performance of the system can be ensured to the maximum extent by adopting the Yolo-v4 algorithm, the time difference between the vehicle speed and signal lamp signal switching is adapted to the maximum extent, and the experience and the safety in application are improved.
In practical application, the step S106-2 of recognizing the number of pedestrians and the number of vehicles in the image information may be performed in a processing device at a traffic light side, the image information may also be uploaded to a cloud center server through 5G by the traffic light, and a detection result including the number of pedestrians and the number of vehicles is returned after target detection is performed by the cloud center server, and particularly, autonomous setting may be performed according to the pedestrian volume and the traffic volume of a traffic road where the traffic light is located. When the pedestrian flow and the traffic flow of a traffic road where the traffic signal lamp is located are small, the target detection algorithm can be executed locally through the traffic signal lamp, and then the number of pedestrians and the number of vehicles can be determined rapidly.
And S106-3, controlling the prompting color of the traffic signal lamp according to the number of pedestrians and the number of vehicles and a preset static time distribution mechanism or a visual dynamic control mechanism.
Specifically, whether a traffic road has both pedestrians and vehicles can be judged according to the number of pedestrians and the number of vehicles; if so, sequentially switching the prompting colors of the traffic signal lamps according to a preset static time distribution mechanism; if not, the prompting color of the traffic signal lamp is controlled according to a visual dynamic control mechanism.
In the embodiment of the invention, the vision dynamic control mechanism is a control mechanism according to exclusive use of pedestrians or exclusive use of vehicles respectively. The traffic signal lamp mentioned in this embodiment may include a pedestrian crossing signal lamp, and optionally, when the traffic road only has pedestrians, the prompt color of the traffic signal lamp on the pedestrian side is controlled to be green; or when the traffic road only has vehicles, the prompting color of the traffic signal lamp at the pedestrian side is controlled to be red.
In practical application, the traffic signal lamp can also comprise a motor vehicle signal lamp and a non-motor vehicle signal lamp, and at the moment, the traffic signal lamp can also communicate with other signal lamps on the same road direction or crossed traffic roads, so that the linkage control of the traffic signal lamp is realized.
For example, as shown in fig. 2, a pedestrian crossing signal lamp is assumed to be a, and when only pedestrians are present on a traffic road, a is a green lamp; when the traffic road only has vehicles, A is a red light.
As shown in fig. 3, it is assumed that the pedestrian crossing signal light is B, the motor vehicle signal lights are C and D, and it is assumed that only vehicles and no pedestrians are around C and D, at this time, C and D perform switching of traffic lights according to the flow rates of the vehicles identified by them, and B is a red light; assuming that only pedestrians and no vehicles are around C and D, C and D are red lights and B is green light. The above embodiments only schematically introduce the traffic light control method, and in practical applications, the traffic light can be intelligently controlled according to prediction of pedestrian flow, vehicle flow, and the like.
The method provided by the embodiment of the invention can carry out intelligent control on the traffic signal lamp according to the number of vehicles and pedestrians around the traffic signal lamp, so that the traffic signal lamp effectively adapts to the change of the pedestrian flow and the traffic flow, and under the condition that only pedestrians or only vehicles exist, intelligent regulation and control are carried out, so that the traffic time is saved while the traffic demand is met, and the intelligent control on the traffic signal lamp is effectively realized.
In an optional embodiment of the present invention, as can be seen from fig. 1, after the step S102 of determining whether the traffic signal lamp has the preset condition of the dual-rail operating mode according to the network and the device status, the method further includes:
and step S108, if the traffic signal lamp does not have the preset starting condition of the double-track working mode, sequentially switching the prompting color of the traffic signal lamp according to a preset static time distribution mechanism.
In an optional embodiment of the present invention, the operation parameters of the traffic signal lamp can also be directionally updated through an over-the-air dynamic update mechanism. An Over The Air (OTA) online upgrade mechanism is a technology for downloading an upgrade package on a remote server through a wireless network to upgrade a system or an application. By using the OTA over-the-air downloading technology, various service menus provided by the network can be downloaded to the mobile phone by using an OTA mechanism according to personal preferences only by simple operation, and specific services can be customized according to own wishes.
In the embodiment of the present invention, an Over The Air (OTA) online upgrade mechanism may be deployed on the traffic light side, so that an operator may directionally (designate a certain device or certain devices) easily complete updating of various system configuration parameters in the cloud, or related software upgrades.
Optionally, the OTA online upgrade mechanism may be mainly used to upgrade or modify the operation parameters of the signal lamp, such as duration of each prompt color, flashing frequency, and prompt color switching sequence, online. In addition, in the above embodiment, the traffic signal lamp is provided with the processing device to execute the target detection algorithm to obtain the number of pedestrians and the number of vehicles, so that the target detection algorithm can be dynamically upgraded through an OTA online upgrade mechanism, the accuracy and granularity of object identification can be continuously improved, the working effect can be continuously improved, and the reaction strategy to the identification result can be dynamically adjusted through OTA upgrade; how the lights should change, for example, when there is both a vehicle and a pedestrian; how far away the pedestrian or vehicle needs to trigger what corresponding change, etc.
Based on the method provided by the embodiment of the invention, the OTA online upgrade mechanism is arranged at the traffic signal lamp side, so that the update and upgrade of the operation parameters of the traffic signal lamp can be guided and made according to the actual road conditions and urban development planning by relevant departments of traffic transportation; and for suppliers related to the target detection algorithm, a new model can be provided according to technical upgrading, and whether the target detection algorithm is used for landing upgrading is determined by related departments according to actual measurement effects and local conditions. The method provided by the embodiment of the invention can quickly change and upgrade the directional configuration of the traffic signal lamp at the cloud end, thereby greatly improving the operability and flexible response capability of the whole signal lamp system.
Fig. 4 shows a traffic signal lamp intelligent control method according to another embodiment of the present invention, and as can be seen from fig. 3, the method provided by the embodiment of the present invention may include:
step S402, starting a traffic signal lamp; controlling the traffic signal lamps to sequentially switch the prompting colors of the traffic signal lamps by a static time distribution mechanism; when the traffic signal lamp is started to operate, the static time distribution machine is firstly used for making a control strategy to control the prompt color of the traffic signal lamp so as to ensure the traffic safety of a traffic road.
Step S404, acquiring the operation parameters of the traffic signal lamp;
step S406, judging whether the traffic signal lamp has a preset starting condition of a double-track working mode according to the operation parameters; if yes, go to step S408; if not, go to step S420;
step S408, controlling the traffic signal lamp to operate in a preset double-track working mode;
step S410, collecting image information in a preset range of a traffic signal lamp;
step S412, sending the image information to a cloud center server for target detection, specifically, identifying each object in the image information by adopting a Yolo-V4 target detection algorithm, and then counting the number of pedestrians and vehicles in the image information for the target objects which are screened out of the objects with low confidence and the repeated objects;
step S414, receiving the pedestrian number and the vehicle number returned by the cloud center server;
step S416, judging whether a pedestrian and a vehicle exist at the same time; if yes, go to step 420; if not, go to step S418;
step S418, controlling the traffic signal lamp to operate in a pedestrian exclusive mode or a vehicle exclusive mode; the pedestrian exclusive mode is that a traffic signal lamp at the pedestrian side is a green lamp, and a traffic signal lamp at the vehicle side is a red lamp; the exclusive mode of the vehicle is that the traffic light at the vehicle side is green and the traffic light at the pedestrian side is red
Step S420, sequentially switching the prompting colors of the traffic lights according to a preset static time allocation mechanism.
The method provided by the embodiment of the invention adopts an advanced Yolo-V4 visual intelligent identification technology to carry out efficient identification on pedestrians and vehicles so as to carry out dynamic control on the traffic signal lamp, and simultaneously considers the traditional static time distribution mechanism, controls the prompting color of the traffic signal lamp by a control strategy of double-track work, and ensures the integration of safety, fairness, stability and efficiency. The traditional traffic signal lamps are enabled through the AI technology, so that the reasonability of the road resource in distribution is improved, the configuration efficiency of the whole road system resource can be improved to a certain extent, and the road use experience of pedestrians and vehicles is also improved.
Based on the same inventive concept, an embodiment of the present invention further provides an intelligent control system for a traffic signal lamp, and as can be seen from fig. 5, the intelligent control system for a traffic signal lamp provided by the embodiment of the present invention may include:
an obtaining module 510 adapted to obtain an operation parameter of a traffic signal lamp;
the judging module 520 is adapted to judge whether the traffic signal lamp has a preset starting condition of the double-track working mode according to the operation parameters of the traffic signal lamp;
the first control module 530 is adapted to control the traffic signal lamp to operate in a preset double-rail working mode when the traffic signal lamp has a preset starting condition of the double-rail working mode; in the double-track working mode, the color control mechanism of the traffic signal lamp is switched between a preset static time distribution mechanism and a visual dynamic control mechanism according to the image information in the preset range of the traffic signal lamp.
In an optional embodiment of the present invention, the obtaining module 510 may be further adapted to:
acquiring network connection parameters of traffic signal lamps; and/or
Acquiring working parameters of hardware equipment of a traffic signal lamp; and/or
Acquiring image identification parameters of processing equipment in a traffic signal lamp;
wherein, the hardware equipment comprises at least one of image acquisition equipment and light-emitting equipment.
In an optional embodiment of the present invention, the first control module 530 may be further adapted to:
collecting image information of a plurality of angles in a preset range of a traffic signal lamp;
identifying the number of pedestrians and the number of vehicles in the image information;
and controlling the prompting color of the traffic signal lamp according to the number of pedestrians and the number of vehicles and a preset static time distribution mechanism or a visual dynamic control mechanism.
In an optional embodiment of the present invention, the first control module 530 may be further adapted to:
identifying a plurality of identification objects corresponding to different object types in the image information through a target detection algorithm, and acquiring the confidence coefficient of each identification object; wherein the object category comprises at least one of animals, pedestrians and vehicles;
selecting a plurality of first objects with the confidence degrees larger than a preset threshold value from the plurality of identification objects according to the confidence degrees of the identification objects;
identifying and screening out repeated objects in the plurality of first objects to obtain target objects;
and counting the number of pedestrians and the number of vehicles in the target object.
In an optional embodiment of the present invention, the first control module 530 may be further adapted to:
judging whether the traffic road has pedestrians and vehicles according to the number of the pedestrians and the number of the vehicles;
if so, sequentially switching the prompting colors of the traffic signal lamps according to a preset static time distribution mechanism;
if not, controlling the prompting color of the traffic signal lamp according to a visual dynamic control mechanism; when only pedestrians exist on the traffic road, the prompting color of the traffic signal lamp on the pedestrian side is controlled to be green; or when the traffic road only has vehicles, the prompting color of the traffic signal lamp at the pedestrian side is controlled to be red.
In an alternative embodiment of the present invention, as shown in fig. 6, the system may further include a second control module 540:
the second control module 540 is adapted to sequentially switch the prompt colors of the traffic lights according to a preset static time allocation mechanism if the traffic lights do not have the preset starting condition of the dual-rail working mode.
In an alternative embodiment of the present invention, as shown in fig. 5, the system may further include an update module 550;
the update module 550 is adapted to directionally update the operation parameters of the traffic signal lamp through an over-the-air dynamic update mechanism.
In an embodiment of the present invention, a computer-readable storage medium is further provided, where the computer-readable storage medium is used for storing program codes, and the program codes are used for executing the intelligent control method for a traffic signal lamp in any one of the above embodiments.
In an embodiment of the present invention, there is also provided a computing device, including a processor and a memory:
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is used for executing the intelligent control method of the traffic signal lamp of any one of the above embodiments according to instructions in the program code.
It is clear to those skilled in the art that the specific working processes of the above-described systems, devices, modules and units may refer to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, further description is omitted here.
In addition, the functional units in the embodiments of the present invention may be physically independent of each other, two or more functional units may be integrated together, or all the functional units may be integrated in one processing unit. The integrated functional units may be implemented in the form of hardware, or in the form of software or firmware.
Those of ordinary skill in the art will understand that: the integrated functional units, if implemented in software and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computing device (e.g., a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention when the instructions are executed. And the aforementioned storage medium includes: u disk, removable hard disk, Read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program code.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (such as a computing device, e.g., a personal computer, a server, or a network device) associated with program instructions, which may be stored in a computer-readable storage medium, and when the program instructions are executed by a processor of the computing device, the computing device executes all or part of the steps of the method according to the embodiments of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments can be modified or some or all of the technical features can be equivalently replaced within the spirit and principle of the present invention; such modifications or substitutions do not depart from the scope of the present invention.
Claims (10)
1. An intelligent control method of a traffic signal lamp is characterized by comprising the following steps:
acquiring operation parameters of a traffic signal lamp;
judging whether the traffic signal lamp has a preset starting condition of a double-track working mode or not according to the running parameters of the traffic signal lamp;
if the traffic signal lamp has the starting condition of the preset double-track working mode, controlling the traffic signal lamp to operate in the preset double-track working mode;
in the double-track working mode, the color control mechanism of the traffic signal lamp is switched between a preset static time distribution mechanism and a visual dynamic control mechanism according to the image information of the traffic road controlled by the traffic signal lamp.
2. The method of claim 1, wherein the obtaining operational parameters of a traffic signal comprises:
acquiring network connection parameters of the traffic signal lamp; and/or
Acquiring working parameters of hardware equipment of the traffic signal lamp; and/or
Acquiring image identification parameters of processing equipment in the traffic signal lamp;
wherein the hardware device comprises at least one of an image acquisition device and a light emitting device.
3. The method of claim 1, wherein the controlling the traffic signal lamp to operate in a preset dual rail mode of operation comprises:
collecting image information of a plurality of angles of a traffic road controlled by the traffic signal lamp;
identifying the number of pedestrians and the number of vehicles in the image information;
and controlling the prompting color of the traffic signal lamp according to the number of the pedestrians and the number of the vehicles and a preset static time distribution mechanism or a visual dynamic control mechanism.
4. The method of claim 3, wherein the identifying the number of pedestrians and the number of vehicles in the image information comprises:
identifying a plurality of identification objects corresponding to different object types in the image information through a target detection algorithm, and acquiring the confidence of each identification object; wherein the object class comprises at least one of an animal, a pedestrian, a vehicle;
selecting a plurality of first objects with the confidence degrees larger than a preset threshold value from the plurality of identification objects according to the confidence degrees of the identification objects;
identifying and screening out repeated objects in the plurality of first objects to obtain target objects;
and counting the number of pedestrians and the number of vehicles in the target object.
5. The method according to claim 3, wherein the controlling the traffic signal light prompt color according to the pedestrian number and the vehicle number according to a preset static time allocation mechanism or a visual dynamic control mechanism comprises:
judging whether the traffic road has pedestrians and vehicles according to the number of the pedestrians and the number of the vehicles;
if so, sequentially switching the prompting colors of the traffic signal lamps according to a preset static time distribution mechanism;
if not, controlling the prompting color of the traffic signal lamp according to a visual dynamic control mechanism; when the traffic road only has pedestrians, controlling the prompting color of the traffic signal lamp at the pedestrian side to be green; or when the traffic road only has vehicles, controlling the prompting color of the traffic signal lamp at the pedestrian side to be red.
6. The method according to any one of claims 1 to 5, wherein after determining whether the traffic signal lamp has the preset condition of the dual-rail operation mode according to the network and device status, the method further comprises:
and if the traffic signal lamp does not have the preset starting condition of the double-track working mode, sequentially switching the prompting colors of the traffic signal lamp according to a preset static time distribution mechanism.
7. The method according to any one of claims 1-5, further comprising:
and directionally updating the operation parameters of the traffic signal lamp through an over-the-air dynamic updating mechanism.
8. The utility model provides a traffic signal lamp intelligence control system which characterized in that includes:
the acquisition module is suitable for acquiring the operation parameters of the traffic signal lamp;
the judging module is suitable for judging whether the traffic signal lamp has a preset starting condition of a double-track working mode according to the running parameters of the traffic signal lamp;
the first control module is suitable for setting the working mode of the traffic signal lamp to be a double-track working mode when the traffic signal lamp has a preset starting condition of the double-track working mode;
and under the double-track working mode, the color control mechanism of the traffic signal lamp is switched between a preset static time distribution mechanism and a visual dynamic control mechanism according to the image information in the preset range of the traffic signal lamp.
9. A computer-readable storage medium for storing a program code for executing the intelligent control method of a traffic signal lamp according to any one of claims 1 to 7.
10. A computing device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the intelligent control method of a traffic signal lamp according to any one of claims 1-7 according to instructions in the program code.
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| CN202011171429.9A CN112309146A (en) | 2020-10-28 | 2020-10-28 | Intelligent control method and system of traffic signal lamp, storage medium and computing equipment |
| PCT/CN2020/136057 WO2021189970A1 (en) | 2020-10-28 | 2020-12-14 | Intelligent control method and system for traffic light, and storage medium and computing device |
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| CN202011171429.9A CN112309146A (en) | 2020-10-28 | 2020-10-28 | Intelligent control method and system of traffic signal lamp, storage medium and computing equipment |
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| CN114155723B (en) * | 2021-11-29 | 2023-04-14 | 中国联合网络通信集团有限公司 | Traffic light conversion method and device |
| CN114842655B (en) * | 2022-04-29 | 2023-05-26 | 杭州海康威视数字技术股份有限公司 | Traffic signal control method, device and equipment |
| CN115593310A (en) * | 2022-09-29 | 2023-01-13 | 中国第一汽车股份有限公司（Cn） | Vehicle information display method and device and vehicle |
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