TWI676969B - Traffic light controlling system based on internet of things (iot) and method thereof - Google Patents

Abstract

A traffic light control system and method based on the Internet of Things, which continuously shoots road images through a camera element installed in a traffic light device, and transmits the signal status and road image to the control end, and the control end analyzes the traffic flow with the light status being green And pedestrian flow, when the vehicle flow and pedestrian flow are lower than the preset value, the control end filters out all traffic light devices at the same intersection according to the identification code of the traffic light device, and generates a switching signal to send to the screened traffic light device for light switching To achieve the technical effect of improving the efficiency of traffic control.

Description

Traffic light control system and method based on internet of things

The invention relates to a traffic light control system and a method thereof, in particular to a traffic light control system based on the Internet of Things and a method thereof for analyzing the traffic flow and the human flow when a green light is used, so as to control the signal switching.

In recent years, with the vigorous development of smart cities, various related applications have sprung up, among which the control of traffic light devices has attracted the most attention.

Generally speaking, a traditional traffic light device executes a preset control instruction to enable a specified light signal component within a specified time period. For example, the execution of a control instruction can first enable a red light for 60 seconds. Flash the yellow light for another 5 seconds, then enable the green light for 30 seconds, and make it a cycle to repeat the same light control. However, the actual traffic situation changes rapidly, and it often happens that the traffic light device is passing by when the green light is on, and the traffic light device on the other side accumulates a lot of people waiting for traffic when the light is on, so there is a problem of poor traffic control efficiency. .

In view of this, some manufacturers have proposed a technical method of a traffic command robot, which sets up a traffic command robot on the road and allows remote traffic management personnel to connect and control for traffic command. In this way, it is not limited to the display signal of the traffic light device, and it can solve the problems that it is difficult to divert the traditional traffic and that the traffic management personnel have safety concerns. However, this method requires traffic indicators at each intersection. Swinging a robot is not only costly, but although it can improve the safety of traffic control personnel, it is also difficult to avoid collisions between vehicles and traffic command robots, causing the traffic command robot to be damaged and unable to continue to command traffic, so it still cannot effectively solve the traffic control efficiency Poor question.

In summary, it can be known that the problem of poor traffic control efficiency has existed in the prior art for a long time, so it is necessary to propose improved technical means to solve this problem.

The invention discloses a traffic light control system and method based on the Internet of Things.

First, the present invention discloses a traffic light control system based on the Internet of Things. The system includes a traffic light device and a control terminal. The traffic light device includes a camera module, a transmission module, and a drive module. Among them, the camera module is used to enable the camera element to continuously shoot when the traffic light device is activated, and integrate the images captured by each camera element into a road image with a split screen; the transmission module is electrically connected to the camera module, and The signal status and road image of the traffic light device are continuously transmitted, and the switching signal is received; the driving module is electrically connected to the transmission module for driving the traffic light device to switch the light according to the received switching signal.

Then, the part of the control end includes: an analysis module, a screening module, and a processing module. Among them, the analysis module is used to receive and analyze the signal status and road images from the traffic light device, and calculate the traffic flow and pedestrian flow when the light status is green, and according to the preset emergency vehicle characteristics and accidents Feature to identify one of the split screens in the road image. When there is an emergency vehicle that meets the characteristics of an emergency vehicle, it detects the moving trajectory of the emergency vehicle to analyze the driving route of the emergency vehicle, and selects the driving route that matches the driving route. The traffic light device switches the signal. When there are accident characteristics, the electronic signboard installed at the adjacent intersection is driven to display the accident message; Selection module electrical connection analysis module, used to screen all traffic lights at the same intersection according to the identification code of the traffic light device when the traffic flow and pedestrian flow are lower than the preset value; processing module electrical connection screening module , Used to generate a switching signal, and transmit the switching signal to all screened traffic light devices.

In addition, the present invention discloses a traffic light control method based on the Internet of Things, which is applied in an Internet of Things environment with a traffic light device and a control end. The steps include: setting an identification code on each traffic light device in advance, and enabling the camera when the traffic light device is activated. The component continuously shoots and integrates the images captured by each camera element into a road image with a split screen; the traffic light device continuously transmits the light status and road image to the control end; the control end receives and analyzes the road image from the traffic light device, and According to the analysis results, calculate the traffic flow and pedestrian flow of the traffic light device when the light status is green, and perform image recognition on one of the split screens in the road image according to the preset emergency vehicle characteristics and accident characteristics. For emergency vehicles with vehicle characteristics, detect the moving trajectory of the emergency vehicle to analyze the driving route of the emergency vehicle, and filter out the traffic light devices that match this driving route to switch the lights. When there are accident characteristics, the driver installed at the adjacent intersection is driven. Electronic signboard to show accidents When the traffic flow and pedestrian flow are lower than the preset values, the control end filters all traffic light devices located at the same intersection according to the identification code of the corresponding traffic light device; the control end generates a switching signal and transmits the switching signal to all filters The traffic light device is driven out; the traffic light device drives the traffic light device to switch signals according to the received switching signal.

The system and method disclosed in the present invention are as described above. The difference from the prior art is that the present invention continuously shoots road images through the camera element provided on the traffic light device, and transmits the signal status and road image to the control terminal, and the control terminal analyzes the light signals. The state of traffic lights and pedestrians with green lights, when the traffic and pedestrians are lower than the preset value, the control end filters out the same intersection according to the identification code of the traffic light device. All the traffic light devices generate a switching signal to transmit to the screened traffic light devices for signal switching.

Through the above technical means, the present invention can achieve the technical effect of improving the efficiency of traffic control.

110‧‧‧Traffic light device

111‧‧‧ Camera Module

112‧‧‧Transmission Module

113‧‧‧Driver Module

120‧‧‧Control terminal

121‧‧‧analysis module

122‧‧‧Screening Module

123‧‧‧Processing Module

301‧‧‧Red light element

302‧‧‧Yellow light element

303‧‧‧Red light element

311 ~ 313‧‧‧Image sensor

401‧‧‧First shooting area

402‧‧‧Second shooting area

403‧‧‧Third shooting area

411 ~ 414‧‧‧Traffic light device

510‧‧‧ first split screen

511, 512‧‧‧ vehicles

520‧‧‧Second split screen

521‧‧‧ pedestrian

530‧‧‧ Third split screen

In step 210‧‧‧ an identification code is set in each traffic light device in advance. When the traffic light device is activated, multiple camera elements are enabled to continuously shoot, and the images captured by each camera element are integrated into a plurality of divided screens. Image of a road

In step 220‧‧‧, the traffic light device continuously transmits a signal status and the road image to the control terminal.

Step 230‧‧‧ The control terminal receives and analyzes the road image from the traffic light device, and calculates a traffic flow and a person flow of the traffic light device when the traffic light status is green light according to the analysis result

Step 231‧‧‧ according to the preset at least one emergency vehicle characteristic and at least one accident characteristic, perform image recognition on one of the segmented pictures in the road image, and when there is at least one emergency vehicle that matches the characteristics of the emergency vehicle When detecting the moving trajectory of the emergency vehicle to analyze a driving route of the emergency vehicle, and selecting the traffic light device that matches the driving route to switch the lights, when the accident characteristic exists, the drive is set at An electronic signboard at an adjacent intersection to display accident messages

Step 240‧‧‧ The control terminal filters out all the traffic light devices located at the same intersection according to the identification code of the corresponding traffic light device when the vehicle flow and the person flow are lower than a preset value

Step 250‧‧‧ The control end, the control end generates the switching signal, and transmits the switching signal to all the traffic lights screened out

In step 260‧‧‧, the traffic light device drives the traffic light device to switch signals according to the received switching signal.

FIG. 1 is a system block diagram of a traffic light control system based on the Internet of Things of the present invention.

FIG. 2A and FIG. 2B are flowcharts of a method for controlling a traffic light based on the Internet of Things according to the present invention.

FIG. 3 is a schematic diagram of a traffic light device to which the present invention is applied.

FIG. 4 is a schematic diagram of shooting a road image with an imaging element by applying the present invention.

FIG. 5 is a schematic diagram of applying the present invention to analyze road images with split screens to calculate vehicle flow and pedestrian flow.

In the following, the embodiments of the present invention will be described in detail with reference to the drawings and examples, so as to fully understand and implement the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects.

Before explaining the traffic light control system and method based on the Internet of Things disclosed in the present invention, the environment in which the present invention is applied will be described. The present invention is applied in the Internet of Things environment, and the traffic light device and the control terminal are both the Internet of Things Can communicate with each other through the Internet. For example, the control end can learn the road image and signal status feedback from the traffic light device through the Internet of Things. Such as: red light, yellow light, green light, etc .; The traffic light device can also receive the switching signal from the control end through the Internet of Things to switch the enabled light signal element. The Internet of Things can be implemented through wireless communication technologies such as Bluetooth, WiFi, ZigBee, CoAP (Constrained Application Protocol), or MQTT (Message Queuing Telemetry Transport).

The following further describes the traffic light control system and method based on the Internet of Things according to the present invention with reference to the drawings. Please refer to "Figure 1" first. "Figure 1" is a system block diagram of the traffic light control system based on the Internet of Things according to the present invention. The system includes: a traffic light device 110 and a control terminal 120. The traffic light device 110 includes a camera module 111, a transmission module 112, and a driving module 113. The camera module 111 is used to enable the camera element to continuously shoot when the traffic light device 110 is activated, and integrate the images captured by each camera element into a road image with multiple divided screens. In actual implementation, the imaging element may be implemented using at least one of a photosensitive-coupled device (CCD) and a complementary metal-oxide semiconductor (CMOS).

The transmission module 112 is electrically connected to the camera module 111 for continuously transmitting the signal status and road image of the traffic light device 110 and receiving a switching signal from the control terminal 120. As mentioned earlier, the Internet of Things can be implemented through wireless communication technologies such as Bluetooth, WiFi, ZigBee, CoAP, or MQTT. In other words, the transmission module 112 transmits light status and roads through at least one of the above wireless communication technologies. Video, and receive switching signals. In actual implementation, when the green light of the traffic light device 110 is on, the light status is green; the yellow light is on, the light status is yellow; and the red light is on, it means the light status is red. The transmission module 112 can directly detect whether the light signal element is enabled through the potential sensing element, and then learns the light signal state and transmits it to the control terminal 120. It should be added that each traffic light device 110 has a unique identification code, and the transmission module 112 can embed this identification code in the light when transmitting the signal status and road image. Number status and road image for identification. In addition, the identification code is also the basis for the control terminal 120 to select a specific traffic light device 110. In actual implementation, the identification code may include an intersection number, a device serial number, a position code, and the like. The traffic light device 110 at the same intersection has the same intersection number. Taking a two-lane intersection as an example, there are usually four The traffic light device 110, the intersection number in its identification code can also be "001", the device serial number can respectively represent the four traffic light devices with a value of 1 to 4, as for the position code can include information such as direction or latitude and longitude to indicate the traffic light The geographic location of the device 110.

The driving module 113 is electrically connected to the transmission module 112, and is configured to drive the traffic light device 110 to switch lights according to the received switching signal. For example, it is assumed that the preset control method of the traffic light device 110 is to cycle in four time periods (that is, sequentially from the first time period, the second time period, the third time period to the fourth time period, and then back to To the first time period and so on), each of which will drive the corresponding light element, for example: the green light element is continuously enabled for 60 seconds in the first time period, and the green light element is flashed 3 times in the second time period Only the yellow light element is enabled for 3 seconds in the third time period, and only the red light element is enabled for 45 seconds in the fourth time period. Then, when the driving module 113 receives the switching signal and drives the traffic light device 110 to switch lights, if the traffic light device 110 is in the first time period, the driving module 113 will directly end the first time period and enter the second time. The cycle, that is, the green light is flashed 3 times directly, and then the light control of the third time period and the fourth time period is still performed in accordance with the preset control method, so that the light switch from the green light to the red light is completed. On the other hand, assuming that the traffic light status of the traffic light device 110 is red, when the drive module 113 receives the switching signal, it will wait for a period of time (this period is the same as the time required to switch from green light to red light). Switch from red light to green light directly, that is to say, although it is preset to enable the red light element for 45 seconds in the fourth time period, when the switch signal is received, even if it has not yet completed 45 seconds, waiting for the above period After that, it directly goes back to the first time period to drive the corresponding light signal element (that is, the green light element is continuously enabled for 60 seconds). In reality In practical implementation, the time period can be generated by a timer. The driving module 113 can drive a corresponding light signal element by a microcontroller at each time period, and even the driving module 113 itself can be implemented by a microcontroller in order to When a switching signal is received, a microcontroller is used to directly drive the light element corresponding to the next time period.

Then, in the part of the control terminal 120, the control terminal 120 includes: an analysis module 121, a screening module 122, and a processing module 123. The analysis module 121 is used to receive and analyze the signal status and road images from the traffic light device 110, and calculate the vehicle flow and the person flow when the signal status is green. In actual implementation, the analysis module 121 can perform image recognition on road images according to preset vehicle characteristics and pedestrian characteristics, calculate the number of vehicles that meet the characteristics of the vehicle as the traffic flow, and calculate the number of vehicles that meet the characteristics of the pedestrian as the traffic volume. In addition, in actual implementation, the analysis module 121 can also perform image recognition on one of the divided screens in the road image according to the preset emergency vehicle characteristics and accident characteristics. When there is an emergency vehicle that meets the characteristics of the emergency vehicle, the analysis is performed. The emergency vehicle's driving route is used to screen out the traffic light device 110 that the emergency vehicle will meet next to switch the lights. For example, the analysis module 121 can detect the speed and movement track of the emergency vehicle to analyze the corresponding driving route. , And regard it as the basis for whether to prepare for a turn so as to correctly screen out the traffic light device 110 that the emergency vehicle is about to encounter. It should be added that the analysis module 121 is electrically connected with a communication element to receive the signal status and road image from the traffic light device 110. This communication element is the same as the communication technology used by the transmission module 112. For example, In other words, assuming that the transmission module 112 uses Bluetooth communication technology, the communication element also uses Bluetooth communication technology, so that the traffic light device 110 and the control terminal 120 can communicate with each other. In addition, the analysis module 121 can also determine whether an accident occurs at an intersection based on preset accident characteristics, and when an accident occurs, the electronic signage of the adjacent intersection is driven to display the accident message to guide vehicles at the adjacent intersection to avoid Go to the intersection.

The screening module 122 is electrically connected to the analysis module 121 and is configured to screen all traffic light devices 110 located at the same intersection according to the identification code of the traffic light device 110 when the traffic flow and the pedestrian flow are lower than a preset value. For example, suppose the default value is 1. When the traffic flow and pedestrian flow are lower than the preset values, it means that no one is passing through at the green light, so the filtering module 122 filters the traffic light device 110 at the same intersection according to the identification code. , So that it can be used for subsequent signal switching. In addition, if the preset value is 3, which means that only a small number of people and vehicles pass, the corresponding traffic light device 110 can also be selected for adjusting the maintenance time of its green light, for example, reducing the time period for enabling the green light, In order to keep the green light of the traffic light device 110 down for a few seconds.

The processing module 123 is electrically connected to the screening module 122 for generating a switching signal and transmitting the switching signal to all the traffic light devices 110 screened by the screening module 122. The processing module 123 is electrically connected to the communication element in the same manner as the analysis module 121 so as to transmit the generated switching signal to the screened traffic light device 110. In actual implementation, the processing module 123 can also generate corresponding adjustment messages according to the traffic volume and pedestrian flow of all the screened traffic light devices 110, and embed the adjustment information into the corresponding switching signals to adjust the time of each light separately. Cycle, in which the length of the time period when the light status is green is positively related to the amount of traffic and people. Taking the preset value of 3 as an example, there are only a few people-car-to-car behaviors. The generated switching signal can include an adjustment message "-20". This adjustment message can be used to adjust time (such as seconds) or time period (such as: Clock). Assume that the current state of the traffic light device 110 is to maintain the green light for 60 seconds. After receiving this switching signal, the number of seconds to maintain the green light will be temporarily adjusted to 40 seconds, that is, decrease by 20 seconds. To the switching signal (representing that the number of people and cars passing through increases), its green light remains at the preset number of seconds, such as: 60 seconds.

It should be particularly noted that, in actual implementation, each module described in the present invention can be implemented in various ways, including software, hardware, or any combination thereof. For example, in some embodiments, Each module can be implemented by software or hardware or one of them. In addition, the present invention can also be implemented partially or completely based on hardware. For example, one or more modules in the system can be implemented through the product. Body circuit chip, System on Chip (SoC), Complex Programmable Logic Device (CPLD), Field Programmable Gate Array (FPGA), etc. The invention may be a system, a method, and / or a computer program. The computer program may include a computer-readable storage medium having computer-readable program instructions for enabling a processor to implement various aspects of the present invention. The computer-readable storage medium may be a tangible computer that can hold and store instructions used by the instruction execution device. device. The computer-readable storage medium may be, but is not limited to, an electric storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of computer-readable storage media include hard disks, random access memory, read-only memory, flash memory, optical disks, floppy disks, and any suitable combination of the foregoing. Computer-readable storage media used herein are not to be interpreted as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, optical signals through fiber optic cables), or via electrical wires Electrical signal transmitted. In addition, the computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network such as the Internet, a local area network, a wide area network, and / or a wireless network To an external computer device or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, hubs, and / or gateways. The network card or network interface in each computing / processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for computer-readable storage media stored in each computing / processing device in. The computer program instructions for performing the operations of the present invention may be combined language instructions, instruction set architecture instructions, machine instructions, machine-related instructions, micro instructions, firmware instructions, or source code written in any combination of one or more programming languages. Or Object Code, the programming language includes object-oriented programming languages, such as: Common Lisp, Python, C ++, Objective-C, Smalltalk, Delphi, Java, Swift, C #, Perl, Ruby, PHP, etc., And conventional procedural programming languages, such as C or similar programming languages. Computer-readable program instructions can be executed entirely on a computer, partly on a computer, as a stand-alone software, partly on a client computer, partly on a remote computer, or entirely on a remote computer or server On.

Next, please refer to "Figure 2A" and "Figure 2B". "Figure 2A" and "Figure 2B" are flowcharts of the method for controlling traffic lights based on the Internet of Things of the present invention. In the IoT environment of the terminal 120, the steps include: setting an identification code on each traffic light device 110 in advance, enabling the camera element to continuously shoot when the traffic light device 110 is activated, and integrating the images captured by each camera element into a segmented image. The road image on the screen (step 210); the traffic light device 110 continuously transmits the signal status and road image to the control terminal 120 (step 220); the control terminal 120 receives and analyzes the road image from the traffic light device 110, and calculates the traffic light device according to the analysis result 110 when the light status is green light (step 230); when the traffic volume and pedestrian volume are lower than the preset value, the control end 120 filters out all the traffic lights located at the same intersection according to the identification code of the corresponding traffic light device 110 Traffic light device 110 (step 240); the control terminal 120 generates a switching signal and transmits the switching signal to all the filtered traffic light devices 110 (step 250); the traffic light device 110 drives the traffic light device 110 to switch lights according to the received switching signal (step 260). Through the above steps, the road image can be continuously taken by the camera element set on the traffic light device 110, and the signal status and road image are transmitted to the control terminal 120, and the control terminal 120 analyzes the traffic flow and the pedestrian flow with the green status. When the traffic flow and pedestrian flow are lower than the preset values, the control terminal 120 filters according to the identification code of the traffic light device 110 All traffic light devices 110 at the same intersection are generated, and a switching signal is generated to be transmitted to the screened traffic light devices 110 for signal switching, which effectively avoids the situation where green lights are passed by unmanned vehicles.

In addition, after step 230, one of the divided screens in the road image can be identified based on the preset emergency vehicle characteristics and accident characteristics. When there is an emergency vehicle that meets the characteristics of the emergency vehicle, the emergency vehicle is detected. The trajectory is moved to analyze the driving route of the emergency vehicle, and the traffic light device 110 matching the driving route is screened to switch the lights. When there is an accident characteristic, an electronic sign provided at an adjacent intersection is driven to display an accident message (step 231). For example, if it is analyzed that the driving route is heading in the first direction, the traffic light device 110 that goes to the next or more intersections in this first direction is screened for signal switching; if it is analyzed that the driving route is turning toward the second direction, , Selecting the traffic light device 110 for the next or multiple intersections in the second direction to switch the lights. In this way, the control terminal 120 can generate a switching signal and transmit it to the screened traffic light device 110, which is used to drive the light signal element to complete the light signal switching early, which effectively avoids the risk of forcibly passing the intersection when the emergency vehicle encounters a red light. , Thereby improving the timeliness of rescue or disaster relief.

The following description will be given in an embodiment in conjunction with "Figure 3" to "Figure 5". Please refer to "Figure 3" first, and "Figure 3" is a schematic diagram of a traffic light device to which the present invention is applied. In actual implementation, the traffic light device 110 may be provided with a plurality of camera elements (311, 312, and 313) in a manner as shown in FIG. 3 to capture images in different directions. Among them, the first camera element 311 can be used to photograph a vehicle coming in front; the second camera element 312 can be used to photograph a pedestrian on a zebra crossing; and the third camera element 313 can be used to photograph a pedestrian on the other zebra crossing. The pictures taken by these camera elements (311, 312, and 313) will be presented in the same road image in the form of divided pictures, and the road image will be continuously transmitted to the control end 120 through the Internet of Things, and the transmission process will also be included. Transmit light status, such as: red light, yellow light, green light, etc. Among them, when the red light element 301 is enabled, the light status is Red light; when the yellow light element 302 is enabled, the light status is yellow; when the green light element 303 is enabled, the light status is green and so on. Next, when the control terminal 120 generates a switching signal and the traffic light device 110 is filtered by the control terminal 120, then the control terminal 120 transmits the generated switching signal to the traffic light device 110 through the Internet of Things. At this time, the traffic light device 110 can drive the corresponding light elements, such as the red light element 301, the yellow light element 302, the green light element 303, and the like, to perform corresponding light signal switching.

As shown in "Figure 4", "Figure 4" is a schematic diagram of a road image captured by an image sensor using the present invention. As mentioned earlier, the first camera element 311 can be used to photograph a vehicle coming in front; the second camera element 312 can be used to photograph a pedestrian on a zebra crossing; and the third camera element 313 can be used to photograph a pedestrian on a zebra crossing. . In actual implementation, the area shot by it can be as shown in the "Figure 4", the area shot by the first camera element 311 is the first shooting area 401; the area shot by the second camera element 312 is the second shooting Region 402; the region captured by the third imaging element 313 is the third imaging region 403. In actual implementation, when the traffic light status of the traffic light device 411 is green, the traffic light status of the traffic light device 412 is usually also green, and the traffic light status of the traffic light device 413 and the traffic light device 414 are red, so when the traffic light device When the light status of 411 is green, the first shooting area 401 allows vehicles to pass, and the zebra crossings of the second shooting area 402 and the third shooting area 403 allow pedestrians to pass. If the control end 120 analyzes that the first shooting area 401 is not shooting, No pedestrians were photographed in the vehicle, the second shooting area 402, and the third shooting area 403, which means that the traffic light device 411 does not need to be maintained at the green light, so the control terminal 120 generates a switching signal and transmits it to the traffic light device (411 ~ 414) at the same intersection for lighting No. Switch.

Please refer to "Figure 5". "Figure 5" is a schematic diagram of analyzing the road image with split screen to calculate the vehicle flow and the person flow using the present invention. Assume that the road image with multiple split screens is as shown in "Figure 5", the control terminal 120 will use image recognition to find the vehicles in the first split screen 510 (511, 512) and calculate the total number as the traffic flow, such as the value 2; and find the pedestrian 521 in the second divided picture 520 and the third divided picture 530, and calculate the total number as the pedestrian traffic, such as: the value 1 . In actual implementation, you can use computer vision libraries, such as: OpenCV (Open Source Computer Vision Library), such as: Artificial Intelligence (AI), Artificial Neural Network (ANN), Deep Learning (Deep Learning ) And other technologies to build models of vehicle characteristics and pedestrian characteristics for image recognition of vehicles and pedestrians, and even perform motion tracking of vehicles (511, 512) to calculate the driving route of vehicles (511, 512).

In summary, it can be seen that the difference between the present invention and the prior art lies in the continuous shooting of road images through the camera element installed in the traffic light device, and the signal status and road image are transmitted to the control end, and the control end analyzes the light status as The traffic volume and pedestrian volume of the green light. When the traffic volume and pedestrian volume are lower than the preset value, the control end filters all traffic light devices at the same intersection according to the identification code of the traffic light device, and generates a switching signal to transmit to the screened traffic light device. By performing signal switching, the problems existing in the prior art can be solved by this technical means, and the technical effect of improving the efficiency of traffic control can be achieved.

Although the present invention is disclosed in the foregoing embodiments as above, it is not intended to limit the present invention. Any person skilled in similar arts can make some modifications and retouches without departing from the spirit and scope of the present invention. The scope of patent protection shall be determined by the scope of the patent application attached to this specification.

Claims (8)

A traffic light control system based on the Internet of Things, the system includes: at least one traffic light device, each traffic light device has an identification code and includes: a camera module for enabling a plurality of camera elements when the traffic light device is activated Continue shooting, and integrate the images captured by each camera element into a road image with multiple split screens; a transmission module electrically connected to the camera module to continuously transmit a signal of the traffic light device The state and the road image, and receiving a switching signal; and a driving module electrically connected to the transmission module for driving the traffic light device to switch lights according to the received switching signal; and a control terminal, The control terminal includes: an analysis module for receiving and analyzing the signal state and the road image from the traffic light device, and calculating a traffic flow and a person when the signal state is a green light according to the analysis result The flow, and the segmented picture in the road image according to the preset at least one emergency vehicle characteristic and at least one accident characteristic One of them performs image recognition. When there is at least one emergency vehicle that meets the characteristics of the emergency vehicle, the moving trajectory of the emergency vehicle is detected to analyze a driving route of the emergency vehicle, and the ones that match the driving route are screened. The traffic light device switches the signal, and when the accident characteristic exists, an electronic signboard installed at an adjacent intersection is driven to display the accident message; a screening module is electrically connected to the analysis module for use in the vehicle When the flow rate and the person flow rate are lower than a preset value, all the traffic light devices located at the same intersection are screened out according to the identification code of the traffic light device; and a processing module electrically connected to the screening module for The switching signal is generated, and the switching signal is transmitted to all the traffic light devices that are screened out. According to the traffic light control system based on the Internet of Things, the analysis module performs image recognition of the road image according to preset at least one vehicle characteristic and at least one pedestrian characteristic, and calculates The number is used as the traffic flow, and the number that meets the characteristics of the pedestrian is calculated as the person flow. According to the IoT-based traffic light control system according to item 1 of the scope of patent application, the traffic light device has a timer and a microcontroller, the timer generates multiple time periods, and the microcontroller is driven at each time period The corresponding plurality of light signal elements, when the transmission module receives the switching signal, causes the microcontroller to directly drive the light signal elements corresponding to the next time period. According to the Internet of Things traffic control system based on item 3 of the patent application scope, the processing module generates a corresponding adjustment message according to the vehicle flow and the person flow of all the traffic lights screened out, and adjusts the adjustment accordingly. Messages are embedded in the corresponding switching signals to adjust the time periods respectively, wherein the length of the time period in which the light status is a green light is positively related to the amount of traffic and the amount of people. A traffic light control method based on the Internet of Things is applied in an Internet of Things environment with at least one traffic light device and a control end. The steps include: setting an identification code in advance on each traffic light device, and enabling the traffic light device when the traffic light device is activated. Multiple camera elements are continuously shooting, and the images captured by each camera element are integrated into a road image with multiple split screens; the traffic light device continuously transmits a signal status and the road image; the control terminal receives and analyzes The road image from the traffic light device, and a traffic flow and a person flow when the traffic light device is in a green light state are calculated according to an analysis result, and at least one emergency vehicle characteristic and at least one accident are preset according to the analysis result. Feature, image recognition is performed on one of the divided pictures in the road image, and when there is at least one emergency vehicle that matches the characteristics of the emergency vehicle, the movement trajectory of the emergency vehicle is detected to analyze the emergency vehicle A driving route, and the traffic light device matching the driving route is screened. When the signal is switched, when an accident characteristic exists, an electronic kanban installed at an adjacent intersection is driven to display the accident message; the control end is based on the corresponding traffic flow when the vehicle flow and the person flow are below a preset value. The identification code of the traffic light device screens out all the traffic light devices located at the same intersection; the control terminal generates a switching signal and transmits the switching signal to all the traffic lights screened out; and the traffic light device is based on receiving The obtained switching signal drives the traffic light device to perform light switching. According to the Internet of Things traffic control method based on item 5 of the scope of patent application, wherein the calculation method of the traffic flow and the pedestrian flow is based on the preset at least one vehicle feature and at least one pedestrian feature to perform image recognition on the road image, and Calculate the number of features that meet the vehicle characteristics as the traffic volume, and calculate the number of features that meet the pedestrian characteristics as the traffic volume. The traffic light control method based on the Internet of Things according to item 5 of the scope of patent application, wherein the traffic light device has a timer and a microcontroller, the timer generates multiple time periods, and the microcontroller is driven at each time period When the corresponding traffic light device receives the switching signal, the microcontroller makes the microcontroller directly drive the traffic light device corresponding to the next time period. According to the Internet of Things traffic control method based on item 7 of the scope of patent application, wherein the control end generates a corresponding adjustment message according to the vehicle flow and the person flow of all the traffic lights screened out, and the adjustment information The corresponding switching signal is embedded to adjust the time periods, respectively, wherein the length of the time period in which the light status is a green light is positively related to the amount of traffic and the amount of people.