VLC visible light communication processing method and related equipment suitable for road traffic control
Through VLC visible light communication technology, data transmission between vehicles is realized in intelligent transportation, and path planning is combined with deep neural networks, which solves the problems of sensor perception challenges and insufficient RF resources in traditional intelligent transportation technology, and improves driving safety and traffic control efficiency.
Patent Information
- Application Number
- CN202411971042.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-04
AI Technical Summary
Existing intelligent transportation technology accurately senses and recognizes challenges in complex urban roads and highway environments, and the Internet of Vehicles lacks RF resources to fully meet network needs.
Using VLC visible light communication technology, information collected and modulated into visible light signals through the first vehicle is sent to the surrounding second vehicle to realize data transmission between vehicles, and path planning processing is performed in combination with a deep neural network.
It realizes the data communication function while providing lighting, real-time perception of surrounding vehicle information, improves driving safety and accuracy of path planning, and improves traffic control efficiency.
Smart Images

Figure CN119763367A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of data communication, and in particular relates to a VLC visible light communication processing method and related equipment suitable for road traffic control. Background Art
[0002] With the increase in the number of cars, problems such as traffic congestion, parking difficulties, and traffic accidents are becoming increasingly prominent. How to use scientific and technological means to solve these problems has become the focus of current research. Intelligent transportation technology has therefore emerged and has received widespread attention at home and abroad. Traditional intelligent transportation technology mainly relies on sensors and computer technology equipped on vehicles, enabling cars to autonomously drive, navigate, and avoid obstacles without human intervention. At present, intelligent driving mainly uses sensors such as radar, cameras, and lidar to obtain real-time information about road conditions, obstacles, and pedestrians in the surrounding environment, and performs environmental perception and intelligent decision-making to effectively prevent potential traffic accidents. However, in complex environments such as urban roads and highways, these sensors may face challenges in accurate perception and recognition. In addition, high-precision sensors and their perception systems are expensive, and installation and maintenance are complex.
[0003] As an important branch of the Internet of Things, the Internet of Vehicles regards all vehicles on the road as nodes in the network and builds a self-organizing network of vehicles through interconnection. However, the current development of the Internet of Vehicles shows that radio frequency resources may not be able to fully meet network needs. Although 5G technology has the advantage of high-speed transmission, its radio frequency resources are still facing a tight situation. At present, cars use lights to achieve lighting and basic signal transmission functions, such as headlights and taillights to provide necessary lighting at night or in bad weather conditions to ensure that drivers can clearly see the road and the surrounding environment; turn signals and brake lights convey the vehicle's driving intentions through different flashing modes and colors, such as turning, changing lanes or slowing down and stopping, to help other drivers and pedestrians understand and predict the vehicle's actions.
[0004] Therefore, how to provide a VLC visible light communication processing method and related equipment suitable for road traffic control, using visible light communication technology to transmit data by rapidly modulating the brightness of light to provide data communication functions while providing lighting, is a problem that technical personnel in this field urgently need to solve. Summary of the invention
[0005] The embodiments of the present invention provide a VLC visible light communication processing method and related equipment suitable for road traffic control to solve at least one of the above technical problems.
[0006] In order to solve the above technical problems, in a first aspect, the present invention provides a VLC visible light communication processing method suitable for road traffic control, the method comprising:
[0007] The first vehicle collects its own first vehicle information, wherein the number of the first vehicle is at least one, the first vehicle information is used to characterize the running state of the first vehicle, and the information content involved in the first vehicle information at least includes vehicle position information, vehicle speed information, lane information, destination information, and vehicle type information of the corresponding vehicle;
[0008] The first vehicle sends the first vehicle information to a second vehicle within a preset range around the first vehicle through a visible light communication device;
[0009] The second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information of itself.
[0010] Preferably, the first vehicle information also includes: vehicle information processed by the first vehicle from vehicle information sent by other vehicles through the visible light communication device and received by the first vehicle itself, as well as surrounding environment conditions and road traffic conditions monitored by sensors, wherein the sensors include image sensors, infrared sensors and lidars.
[0011] Preferably, the first vehicle and the second vehicle are each equipped with at least one of the visible light communication devices, and the visible light communication device includes: a visible light signal transmitter and a visible light signal receiver.
[0012] Preferably, the first vehicle sends the first vehicle information to a second vehicle within a preset range around the first vehicle through a visible light communication device, including:
[0013] The first vehicle modulates the first vehicle information into a visible light signal based on the visible light signal transmitter configured by itself, and sends the visible light signal to the second vehicle within a preset range around the first vehicle, so as to achieve the purpose of sending the first vehicle information.
[0014] Preferably, before the second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information, the method further includes:
[0015] The visible light signal is received by the visible light signal receiver configured on the second vehicle; the received visible light signal is converted into an electrical signal according to the photodetector of the visible light signal receiver, and then the electrical signal is decoded according to the demodulator of the visible light signal receiver to restore the original data information, thereby obtaining the first vehicle information.
[0016] Preferably, the second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information thereof, including:
[0017] The second vehicle collects second vehicle information of itself, where the second vehicle information is used to represent the running state of the second vehicle;
[0018] The first vehicle information and the second vehicle information are input as initial data into a path planning model to perform the path planning process, wherein the path planning model is specifically a deep neural network model, and the path planning model is obtained by training an initial model in advance with sample vehicle information labeled with corresponding path planning results.
[0019] Preferably, the method further comprises:
[0020] The first vehicle sends the first vehicle information to a road facility through the visible light communication device, wherein the road facility includes a traffic light;
[0021] The second vehicle sends the second vehicle information to the road facility through the visible light communication device;
[0022] The processing center corresponding to the road facility predicts the road condition based on the first vehicle information and the second vehicle information, and promptly initiates an emergency plan based on the road condition prediction results, wherein the road condition prediction results include road flow prediction results, traffic accident prediction results and severe weather prediction results.
[0023] Preferably, the method further comprises:
[0024] The processing center corresponding to the road facility identifies a special vehicle among the first vehicle and the second vehicle according to the first vehicle information and the second vehicle information;
[0025] The processing center corresponding to the road facility obtains the driving task of the special vehicle, generates a road traffic control instruction based on the driving task, and sends the road traffic control instruction to other vehicles through the visible light communication device of the road facility.
[0026] In a second aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the VLC visible light communication processing method suitable for road traffic control as described in the first aspect is implemented.
[0027] In a third aspect, the present invention further provides a VLC visible light communication system suitable for road traffic control, comprising different vehicles, for implementing the VLC visible light communication processing method suitable for road traffic control as described in the first aspect.
[0028] Beneficial effect: The present invention proposes a VLC visible light communication processing method suitable for road traffic control, firstly, the first vehicle collects its own first vehicle information, wherein the number of the first vehicle is at least one, the first vehicle information is used to characterize the running state of the first vehicle, and the information content involved in the first vehicle information at least includes the vehicle position information, speed information, lane information, destination information, and vehicle type information of the corresponding vehicle; then the first vehicle sends the first vehicle information to the second vehicle within a preset range around the vehicle through a visible light communication device; then the second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information. This application realizes data transmission between vehicles by using visible light communication technology between the second vehicle and at least one first vehicle by rapidly modulating the brightness of light, so as to provide the function of data communication while lighting, and then can perceive the position information, moving speed, steering, lane, destination and other information of the surrounding vehicles in real time, so as to use the data information of the visible light communication to improve the path planning, thereby achieving the improvement of driving safety, and at the same time based on the high-speed transmission of visible light communication and the extensiveness of the transmitted data information, it can also improve the accuracy of path planning and improve the efficiency of traffic control. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0030] Figure 1 A flow chart of a VLC visible light communication processing method applicable to road traffic control provided in this application;
[0031] Figure 2 A schematic diagram of a communication scenario of a VLC visible light communication processing method applicable to road traffic control provided in this application;
[0032] Figure 3 A schematic diagram of the principle of visible light communication provided for this application;
[0033] Figure 4 A schematic diagram of the structure of a computer-readable storage medium provided in this application. DETAILED DESCRIPTION
[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0035] Embodiment 1
[0036] like Figure 1 As shown, Embodiment 1 of the present invention provides a VLC visible light communication processing method applicable to road traffic control. The method involved in the embodiment of the present invention specifically includes the following steps S110 to S130:
[0037] Step S110: The first vehicle collects its own first vehicle information, wherein the number of the first vehicle is at least one, the first vehicle information is used to characterize the running state of the first vehicle, and the information content involved in the first vehicle information at least includes vehicle position information, vehicle speed information, lane information, destination information, and vehicle type information of the corresponding vehicle;
[0038] As a feasible method, the first vehicle information involved in the above step S110 also includes: vehicle information processed by the first vehicle from vehicle information sent by other vehicles through a visible light communication device, and surrounding environment conditions and road traffic conditions monitored by sensors. The sensor is a sensor installed on the corresponding first vehicle, including an image sensor, an infrared sensor, a lidar, etc.
[0039] That is, the first vehicle information of the present application is not only used to characterize the operating status of the first vehicle, but also to characterize the vehicle information obtained by the first vehicle through processing of vehicle information received by itself from other vehicles sent through visible light communication devices, and can also be used to characterize the surrounding environment and road traffic conditions monitored by sensors. The sensor is a sensor installed on the corresponding vehicle, including an image sensor, an infrared sensor, a lidar, etc.
[0040] Step S120: The first vehicle sends first vehicle information to a second vehicle within a preset range around the vehicle through a visible light communication device;
[0041] As an achievable manner, the first vehicle involved in the above step S120 sends the first vehicle information to the second vehicle within a preset range around the vehicle through a visible light communication device, which specifically includes the following contents:
[0042] The first vehicle modulates the first vehicle information into a visible light signal based on the visible light signal transmitter configured by itself, and sends the visible light signal to the second vehicle within a preset range around the first vehicle, so as to achieve the purpose of sending the first vehicle information.
[0043] That is, the first vehicle can modulate the operating status information characterizing the first vehicle, the surrounding environment and road traffic conditions monitored by sensors installed on the corresponding first vehicle, the vehicle information of other vehicles acquired by the visible light communication device on the first vehicle into a visible light signal and send it to the second vehicle within a preset range around the first vehicle through the visible light communication device configured on the first vehicle. In addition, multiple first vehicles can simultaneously send their corresponding first vehicle information to the second vehicle to realize information sharing between vehicles, further improving the accuracy of response and driving safety.
[0044] Step S130: The second vehicle performs path planning processing for its own driving path based on the first vehicle information and the collected second vehicle information of itself.
[0045] As an achievable manner, the second vehicle involved in the above step S130 performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information thereof, which specifically includes the following contents:
[0046] The second vehicle collects its own second vehicle information, where the second vehicle information is used to represent the running state of the second vehicle;
[0047] The first vehicle information and the second vehicle information are input as initial data into a path planning model to perform path planning processing, wherein the path planning model is specifically a deep neural network model, and the path planning model is obtained by training an initial model in advance with sample vehicle information labeled with corresponding path planning results.
[0048] Among them, the path planning model can be obtained in the following ways:
[0049] The sample vehicle information is obtained, the path planning results are annotated on the sample vehicle information, and the initial model is trained using the sample vehicle information annotated with the path planning results to obtain a path planning model.
[0050] The information content involved in the second vehicle information includes at least the vehicle position information, vehicle speed information, lane information, destination information, and vehicle type information of the corresponding vehicle, and the information content involved in the second vehicle information also includes the surrounding environment and road traffic conditions monitored by sensors, which are sensors installed on the corresponding second vehicle, including image sensors, infrared sensors, and laser radars, etc. That is, the second vehicle information is used to characterize the operating state of the second vehicle, and can also be used to characterize the surrounding environment and road traffic conditions monitored by sensors.
[0051] That is, the information used by the second vehicle for path planning includes data information monitored by sensors on the first vehicle and the second vehicle, the second vehicle's own vehicle information, the first vehicle's own vehicle information, and other vehicle data information obtained by the first vehicle from other vehicles based on a visible light communication device (other vehicle sensor monitoring and other vehicle's own vehicle information). This enables the second vehicle to plan its path based on more extensive data information, thereby improving the accuracy and safety of path planning, while also eliminating blind spots in the vehicle's driving process, preventing ghosting incidents, and emergency collisions between vehicles.
[0052] As an achievable manner, before the second vehicle involved in the above step S130 performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information of itself, the method involved in the embodiment of the present application further specifically includes the following contents:
[0053] A visible light signal receiver configured on the second vehicle receives the visible light signal; a photoelectric detector of the visible light signal receiver converts the received visible light signal into an electrical signal, and then a demodulator of the visible light signal receiver decodes the electrical signal to restore the original data information to obtain the first vehicle information.
[0054] The embodiment of the present invention proposes a VLC visible light communication processing method suitable for road traffic control. First, the first vehicle collects its own first vehicle information, wherein the number of the first vehicle is at least one, the first vehicle information is used to characterize the running state of the first vehicle, and the information content involved in the first vehicle information at least includes the vehicle position information, speed information, lane information, destination information, and vehicle type information of the corresponding vehicle; then the first vehicle sends the first vehicle information to the second vehicle within a preset range around the vehicle through a visible light communication device; then the second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information. The embodiment of the present application uses visible light communication technology between the second vehicle and at least one first vehicle to realize data transmission between vehicles by rapidly modulating the brightness of light, so as to provide data communication function while lighting, and then can perceive the position information, moving speed, steering, lane, destination and other information of the surrounding vehicles in real time, so as to use the visible light communication data information to improve the path planning, thereby achieving the improvement of driving safety, and based on the high-speed transmission of visible light communication and the extensiveness of the transmitted data information, it can also improve the accuracy of path planning and improve the efficiency of traffic control.
[0055] As an achievable manner, the first vehicle and the second vehicle are both equipped with at least one visible light communication device, and the visible light communication device includes: a visible light signal transmitter and a visible light signal receiver.
[0056] like Figure 3 As shown, the LED light source of the visible light signal transmitter part is modulated by the modulator, and then emits a visible light signal which is transmitted to the photodetector of the visible light signal receiver part. The photodetector receives the visible light signal of a specific frequency through components such as an optical lens or a filter, thereby improving the accuracy of reception. The photodetector converts the received visible light signal into an electrical signal and then sends it to the demodulator of the visible light signal receiver part. The demodulator decodes the electrical signal.
[0057] As a feasible method, the visible light signal receiver can be set around the body of the corresponding vehicle (the first vehicle and the second vehicle), and the visible light signal transmitter can be set in front and behind the corresponding vehicle (the first vehicle and the second vehicle). It can be directly set at the LED lights corresponding to the headlights and rear lights of the vehicle, or a separate LED light source can be set according to actual needs.
[0058] The specific layout position of the visible light communication device in the present application can be adjusted accordingly according to specific usage requirements to achieve the best communication effect.
[0059] Therefore, a neural network search iteration can be used to optimize the specific placement position of the optical communication device. Specifically, it can be:
[0060] Different visible light communication device deployment plans are input as input data into the trained neural network model, and the optimal deployment plan is selected by comparing the output indicators of different deployment plans, and then the deployment position of the visible light communication device can be adjusted accordingly according to the optimal deployment plan;
[0061] The neural network model can use the historical deployment data of visible light communication devices, the communication performance data during vehicle driving, etc. as sample input data, and use the sample input data annotated with the relevant performance results of the deployment location of the visible light communication device as output to train the initial model to obtain a trained neural network model. The relevant performance results of the deployment location of the visible light communication device include communication signal quality, communication coverage, etc.
[0062] like Figure 2 As shown, as an achievable method, the method involved in the embodiment of the present application further specifically includes the following steps:
[0063] The first vehicle sends first vehicle information to a road facility through a visible light communication device, wherein the road facility includes a traffic light;
[0064] The second vehicle sends the second vehicle information to the road facility through the visible light communication device;
[0065] The processing center corresponding to the road facility predicts the road condition based on the first vehicle information and the second vehicle information, and promptly initiates the emergency plan based on the road condition prediction results, wherein the road condition prediction results include road flow prediction results, traffic accident prediction results and severe weather prediction results.
[0066] That is, the processing center corresponding to the road facilities can obtain the vehicle information of multiple corresponding vehicles in real time based on visible light communication for road condition prediction. While monitoring the roads of the entire section, it can also minimize vehicle congestion and traffic accidents, and further improve the safety of road travel and vehicle driving.
[0067] As an achievable method, the method involved in the embodiment of the present application further specifically includes the following steps:
[0068] The processing center corresponding to the road facility identifies the special vehicle among the first vehicle and the second vehicle based on the first vehicle information and the second vehicle information;
[0069] The processing center corresponding to the road facility obtains the driving tasks of special vehicles, generates road traffic control instructions based on the driving tasks, and sends the road traffic control instructions to other vehicles through the visible light communication device of the road facility.
[0070] It can be understood that through visible light data communication between road facilities and vehicles, special vehicles with special missions, such as police cars, ambulances, fire trucks, etc., can be intelligently identified, and other vehicles on the road can be controlled accordingly based on the emergency driving mission of the special vehicle to assist the special vehicle to complete the mission as soon as possible.
[0071] This application uses visible light communication technology to transmit data through rapid modulation of LED lights. This method can not only achieve high-speed data exchange between vehicles (V2V) and between vehicles and infrastructure (V2I), such as Figure 2 The communication scenario shown can also support real-time information transmission of intelligent transportation systems, such as traffic conditions, road condition changes, etc., thereby improving driving safety and traffic efficiency.
[0072] Embodiment 2
[0073] The present invention also provides a computer-readable storage medium. Figure 4 , Figure 4 The present invention is a schematic diagram of an embodiment of a computer-readable storage medium in an embodiment of the present invention, wherein the computer-readable storage medium may store a computer program, which, when executed, includes part or all of the steps of the VLC visible light communication method suitable for road traffic control recorded in the above method embodiment.
[0074] Embodiment 3
[0075] An embodiment of the present invention also provides a VLC visible light communication system suitable for road traffic control, including different vehicles, each of which is equipped with a visible light communication device for implementing the VLC visible light communication processing method suitable for road traffic control as involved in the first embodiment.
[0076] Among them, the system also includes infrastructure, and the infrastructure is correspondingly configured with a visible light communication device. The infrastructure includes a traffic light, and the visible light signal transmitter of the visible light communication device can be correspondingly set at the traffic light to save the cost caused by adding additional LED light sources.
[0077] Technicians in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working process of the system and computer-readable storage medium described above can refer to the corresponding process of the VLC visible light communication processing method suitable for road traffic control in the aforementioned method embodiment, and will not be repeated here.
[0078] In the several embodiments provided in the present application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.
[0079] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0080] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0081] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or partly contributed to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the VLC visible light communication processing method for road traffic control in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0082] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A VLC visible light communication processing method suitable for road traffic control, characterized in that: The method comprises: The first vehicle collects its own first vehicle information, wherein the number of the first vehicle is at least one, the first vehicle information is used to characterize the running state of the first vehicle, and the information content involved in the first vehicle information at least includes vehicle position information, vehicle speed information, lane information, destination information, and vehicle type information of the corresponding vehicle; The first vehicle sends the first vehicle information to a second vehicle within a preset range around the first vehicle through a visible light communication device; The second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information of itself.
2. The VLC visible light communication processing method suitable for road traffic control according to claim 1, characterized in that: The first vehicle information also includes: vehicle information processed by the first vehicle from vehicle information sent by other vehicles through the visible light communication device and received by the first vehicle itself, as well as surrounding environment conditions and road traffic conditions monitored by sensors, wherein the sensors include image sensors, infrared sensors and lidars.
3. The VLC visible light communication processing method suitable for road traffic control according to claim 2, characterized in that: The first vehicle and the second vehicle are each equipped with at least one of the visible light communication devices, and the visible light communication device includes a visible light signal transmitter and a visible light signal receiver.
4. The VLC visible light communication processing method suitable for road traffic control according to claim 3, characterized in that: The first vehicle sends the first vehicle information to a second vehicle within a preset range around the first vehicle through a visible light communication device, including: The first vehicle modulates the first vehicle information into a visible light signal based on the visible light signal transmitter configured by itself, and sends the visible light signal to the second vehicle within a preset range around the first vehicle, so as to achieve the purpose of sending the first vehicle information.
5. The VLC visible light communication processing method suitable for road traffic control according to claim 4, characterized in that: Before the second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information of itself, the method further includes: The visible light signal is received by the visible light signal receiver configured on the second vehicle; the received visible light signal is converted into an electrical signal according to the photodetector of the visible light signal receiver, and then the electrical signal is decoded according to the demodulator of the visible light signal receiver to restore the original data information, thereby obtaining the first vehicle information.
6. The VLC visible light communication processing method suitable for road traffic control according to claim 5, characterized in that: The second vehicle performs path planning processing of its own driving path based on the first vehicle information and the collected second vehicle information thereof, including: The second vehicle collects second vehicle information of itself, where the second vehicle information is used to represent the running state of the second vehicle; The first vehicle information and the second vehicle information are input as initial data into a path planning model to perform the path planning process, wherein the path planning model is specifically a deep neural network model, and the path planning model is obtained by training an initial model in advance with sample vehicle information labeled with corresponding path planning results.
7. The VLC visible light communication processing method suitable for road traffic control according to claim 6, characterized in that: The method further comprises: The first vehicle sends the first vehicle information to a road facility through the visible light communication device, wherein the road facility includes a traffic light; The second vehicle sends the second vehicle information to the road facility through the visible light communication device; The processing center corresponding to the road facility predicts the road condition based on the first vehicle information and the second vehicle information, and promptly initiates an emergency plan based on the road condition prediction results, wherein the road condition prediction results include road flow prediction results, traffic accident prediction results and severe weather prediction results.
8. The VLC visible light communication processing method suitable for road traffic control according to claim 7, characterized in that: The method further comprises: The processing center corresponding to the road facility identifies a special vehicle among the first vehicle and the second vehicle according to the first vehicle information and the second vehicle information; The processing center corresponding to the road facility obtains the driving task of the special vehicle, generates a road traffic control instruction based on the driving task, and sends the road traffic control instruction to other vehicles through the visible light communication device of the road facility.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the VLC visible light communication processing method suitable for road traffic control is implemented as described in any one of claims 1 to 8.
10. A VLC visible light communication system suitable for road traffic control, characterized in that: Including different vehicles, used to implement the VLC visible light communication processing method suitable for road traffic control as described in any one of claims 1-8.