WO2023109769A1

WO2023109769A1 - Signal lamp control method and apparatus, electronic device, and readable storage medium

Info

Publication number: WO2023109769A1
Application number: PCT/CN2022/138432
Authority: WO
Inventors: 魏云
Original assignee: 北京车和家汽车科技有限公司
Priority date: 2021-12-14
Filing date: 2022-12-12
Publication date: 2023-06-22
Also published as: CN116264038A

Abstract

Disclosed are a signal lamp control method and apparatus, a vehicle, an electronic device, a readable storage medium, a computer program product, and a computer program. The signal lamp control method comprises: after receiving an acquired vehicle driving state, calculating a traffic flow at a first traffic intersection according to the vehicle driving state, the first traffic intersection being an intersection through which a vehicle is about to pass; and, on the basis of the traffic flow exceeding a preset traffic flow threshold, controlling a signal lamp at the first traffic intersection according to the traffic flow, and feeding back a control result to the vehicle which is to pass through.

Description

Signal lamp control method and device, electronic device and readable storage medium

Cross References to Related Applications

This application claims priority to Chinese Patent Application No. 202111530331.2 filed in China on December 14, 2021, the entire contents of which are incorporated herein by reference.

technical field

The present disclosure relates to the technical field of data processing, and in particular to a signal lamp control method and device, a vehicle, electronic equipment, a readable storage medium, a computer program product, and a computer program.

Background technique

With the popularization of vehicles, the phenomenon of urban traffic congestion is becoming more and more serious. In order to improve the traffic capacity of urban roads, there are mainly two ways to solve it: one is to improve the efficiency of vehicles carrying passengers, and the other is to improve the efficiency of road traffic. Traffic intersection is one of the bottlenecks of urban road traffic due to the complicated driving direction of vehicles. Therefore, by adjusting the control time of traffic lights at traffic intersections, the overall traffic efficiency of traffic intersections can be improved, and at the same time, urban traffic congestion can be alleviated to a certain extent.

At present, the common method is to feed back the detected traffic flow information to the signal light controller at each intersection, and the signal light controller controls the color change of the signal light and the color signal lights through the analysis of the traffic flow, which can shorten the passing time of vehicles passing through the traffic intersection. to alleviate the problem of urban traffic congestion. However, when detecting traffic flow, it is realized by image recognition. This traffic flow monitoring method is accurate for sunny weather with high visibility, but for rain, snow, night and other low-visibility conditions. , the accuracy of monitoring data is poor, which is not conducive to the control of traffic lights.

Contents of the invention

Embodiments of the present disclosure provide a signal light control method, device, vehicle, electronic device, readable storage medium, computer program product, and computer program, the main purpose of which is to identify vehicles in scenes with low visibility through LiFi signals Driving status, thereby improving the accuracy of traffic signal light control.

According to the first aspect of the embodiments of the present disclosure, there is provided a signal light control method, the method is applied to a signal light control system, including:

Receive the collected vehicle driving status;

Calculating the traffic volume of a first traffic intersection according to the driving state of the vehicle, the first traffic intersection is an intersection that the vehicle is about to pass through; and

Based on the traffic flow exceeding a preset traffic flow threshold, the signal lights at the first traffic intersection are controlled according to the traffic flow.

In some embodiments, after controlling the signal lights at the first traffic intersection according to the traffic volume, the method further includes:

Based on the visible light communication signal (LiFi signal), the traffic flow of the first traffic intersection is sent to the vehicles waiting to pass through the first traffic intersection, and the control result is fed back to the vehicles waiting to pass.

In some embodiments, controlling the signal lights at the first traffic intersection according to the traffic flow includes:

Obtain a configuration file, which includes different traffic flow levels and corresponding control strategies, and the control strategy includes controlling the color and duration of signal lights;

determining the traffic flow level of the first traffic intersection according to the traffic volume and the profile; and

The color and duration of the signal light are controlled according to the determined traffic flow level.

In some embodiments, the method also includes:

Carrying out traffic flow analysis on a second traffic intersection, where the second traffic intersection is a traffic intersection adjacent to the first traffic intersection;

Carry out comprehensive calculation on the traffic volume of the first traffic intersection and the second traffic intersection;

performing path planning on the driving path of the vehicle to pass according to the comprehensive calculation result; and

Sending the route plan to the vehicle waiting to pass.

In some embodiments, receiving the collected vehicle driving state includes:

receiving the coded light signal sent by the vehicle to pass based on the LiFi signal; and

Decoding the light signal to obtain the driving state of the vehicle.

In some embodiments, performing path planning on the driving path of the vehicle to pass according to the comprehensive calculation result includes:

Obtain the driving destination information carried in the LiFi signal; and

Carry out route planning for the travel route of the vehicle to pass based on the comprehensive calculation result and the travel destination information.

According to the second aspect of the embodiments of the present disclosure, there is provided a signal light control method, the method is applied to vehicles waiting to pass, including:

Sending the collected vehicle driving state to a signal light control system, so that the signal light control information calculates the traffic flow at the intersection based on the vehicle driving state, so as to control the signal light based on the traffic flow; and

A signal light control result for the traffic flow sent by the signal light control system is received.

In some embodiments, the method also includes:

Sending destination information to the signal light control system based on a visible light communication signal (LiFi signal), so that the signal light control system performs path planning for the driving route of the vehicle to pass according to the driving destination information and the traffic volume ;and

receiving the path planning sent by the signal light control system.

In some embodiments, sending the collected vehicle driving state to the signal light control system includes:

The collected vehicle driving state is sent to the signal lamp control system based on the visible light communication signal (LiFi signal).

According to a third aspect of an embodiment of the present disclosure, there is provided a signal light control device based on a LiFi signal, including:

a receiving unit, configured to receive the collected vehicle driving state;

a first calculating unit, configured to calculate the traffic volume of a first traffic intersection according to the vehicle driving state received by the receiving unit, and the first traffic intersection is an intersection that vehicles are about to pass through; and

The control unit is configured to control the signal lights at the first traffic intersection according to the traffic volume based on the traffic volume exceeding the preset traffic volume threshold, and feed back the control result to the vehicles waiting to pass.

In some embodiments, the device also includes:

The first sending unit is configured to send the traffic flow of the first traffic intersection based on the visible light communication signal (LiFi signal) to the traffic lights waiting to pass after the control unit controls the signal lights of the first traffic intersection according to the traffic flow. Vehicles waiting to pass at the first traffic intersection.

In some embodiments, the control unit includes:

The obtaining module is used to obtain a configuration file, which includes different traffic flow levels and corresponding control strategies, and the control strategy includes controlling the color and duration of signal lights;

A determination module, configured to determine the traffic flow level of the first traffic intersection according to the traffic volume and the configuration file acquired by the acquisition module; and

The control module is used to control the color and duration of the signal light according to the traffic flow level determined by the determination module.

In some embodiments, the device also includes:

An analysis unit, configured to analyze the traffic flow of a second traffic intersection, where the second traffic intersection is a traffic intersection adjacent to the first traffic intersection;

a second calculation unit, configured to comprehensively calculate the traffic flow at the first traffic intersection and the second traffic intersection;

a planning unit, configured to perform path planning on the travel path of the vehicle to pass according to the comprehensive calculation result; and

A second sending unit, configured to send the route plan to the vehicle to pass.

In some embodiments, the receiving unit includes:

a receiving module, configured to receive the coded light signal sent by the vehicle to pass based on the LiFi signal; and

The decoding module is used to decode the light signal to obtain the driving state of the vehicle.

In some embodiments, the planning unit also includes:

An acquisition module, configured to acquire the driving destination information carried in the LiFi signal; and

A planning module, configured to perform route planning on the travel route of the vehicle to pass based on the comprehensive calculation result and the travel destination information.

According to a fourth aspect of an embodiment of the present disclosure, a signal light control device is provided, the device is applied to a vehicle waiting to pass, including:

The first sending unit is configured to send the collected vehicle driving state to a signal light control system, so that the signal light control information calculates the traffic flow at the intersection based on the vehicle driving state, so as to control the signal light based on the traffic flow; and

The first receiving unit is configured to receive the signal light control result for the traffic flow sent by the signal light control system.

In some embodiments, the device also includes:

The second sending unit is configured to send driving destination information to the signal light control system based on a visible light communication signal (LiFi signal), so that the signal light control system treats the waiting to pass according to the driving destination information and the traffic volume. route planning based on the travel path of the vehicle; and

The second receiving unit is configured to receive the path plan sent by the signal light control system.

In some embodiments, the first sending unit is further configured to send the collected driving state of the vehicle to the signal light control system based on a visible light communication signal (LiFi signal).

According to a fifth aspect of the embodiments of the present disclosure, there is provided a vehicle, the vehicle includes the signal light control device according to any one of the embodiments of the fourth aspect above.

According to a sixth aspect of the embodiments of the present disclosure, there is provided an electronic device, including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can perform any implementation of the aforementioned first aspect or second aspect The method described in the example.

According to a seventh aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to make the computer execute any one of the first aspect or the second aspect. The method described in the examples.

According to an eighth aspect of the embodiments of the present disclosure, there is provided a computer program product, including a computer program, when the computer program is executed by a processor, the method described in any embodiment of the first aspect or the second aspect is implemented .

According to a ninth aspect of the present disclosure, there is provided a computer program, including computer program code, when the computer program code is run on a computer, so that the computer executes the computer described in any embodiment of the first aspect or the second aspect. Methods.

The signal light control method and device, vehicle, electronic equipment, readable storage medium, computer program product, and computer program provided by the embodiments of the present disclosure calculate the first traffic signal according to the vehicle driving state after receiving the collected vehicle driving state. The traffic flow at the intersection, the first traffic intersection is the intersection that vehicles are about to pass, based on the traffic flow exceeding the preset traffic flow threshold, the signal lights at the first traffic intersection are controlled according to the traffic flow, and the control results are fed back to vehicles waiting to pass. Compared with related technologies, the signal light control method of the embodiment of the present disclosure can identify the driving state of the vehicle in a scene with low visibility, thereby improving the accuracy of traffic signal light control.

It should be understood that what is described in this section is not intended to identify key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will be readily understood through the following description.

Description of drawings

The accompanying drawings are used to better understand the present solution, and do not constitute a limitation to the present disclosure. in:

FIG. 1 is a schematic flowchart of a signal light control method provided by an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a signal light control system provided by an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of a positional relationship between a first traffic intersection and a second traffic intersection provided by an embodiment of the present disclosure;

FIG. 4 is a schematic flowchart of another signal light control method provided by an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of a first signal light control device provided by an embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram of a second signal light control device provided by an embodiment of the present disclosure;

FIG. 7 is a schematic structural diagram of a third signal light control device provided by an embodiment of the present disclosure;

FIG. 8 is a schematic structural diagram of a fourth signal light control device provided by an embodiment of the present disclosure;

Fig. 9 is a schematic block diagram of an example electronic device 500 provided by an embodiment of the present disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The signal light-based control method, device, vehicle, electronic device, readable storage medium, computer program product, and computer program of the embodiments of the present disclosure will be described below with reference to the accompanying drawings.

According to the first aspect of the embodiments of the present disclosure, a method for controlling a traffic light based on a LiFi signal is provided. As shown in FIG. 1 , the signal light control method includes steps 101-103.

101: Receive the collected driving state of the vehicle.

The embodiment of the present disclosure is applied to a signal light control system based on LiFi signals, as shown in FIG. 2 . , FIG. 2 is a schematic diagram of a signal light control system based on LiFi signals provided by an embodiment of the present disclosure. The system includes a vehicle lighting module based on visible light communication (Light Fidelity, LiFi signal), a road lighting module based on LiFi signal technology, and a traffic light module. The signal light controller and the traffic signal light, wherein the car lighting module and the road lighting module all include LED lighting components, LED control modules and photosensitive sensors, which are used to collect the driving status of the vehicles at the traffic intersection, and then obtain the traffic flow at the traffic intersection.

Before explaining the specific implementation of the embodiment of the present disclosure, first explain the working principle of the LiFi signal: a microchip is installed on the LED light of the vehicle to pass, and the microchip can control it to flash millions of times per second. When it is on, it means 1 , extinguished means 0, because the flickering frequency is too fast, the human eye cannot observe, but the photosensitive sensor can receive the flickering, encode the collected binary data into a light signal, transmit the light signal to the road lighting module for decoding, and complete this time communication.

In practical applications, the coded light signal sent by the vehicle to pass based on the LiFi signal is received based on the visible light communication LiFi signal, and the light signal is decoded to obtain the driving state of the vehicle.

102: Calculate the traffic volume of the first traffic intersection according to the vehicle driving state.

The first traffic intersection described in the embodiment of the present disclosure is an intersection where vehicles waiting to pass are about to pass.

When calculating the traffic volume of the first traffic intersection, the traffic volume of only the one-way lane may be calculated, or the traffic volume of the two-way lane below the traffic intersection may be calculated. Specifically, this embodiment of the present disclosure does not limit it.

Calculating the traffic flow at the first traffic intersection is an accumulation (summation) calculation process, and the embodiment of the present disclosure does not limit the specific calculation method of the accumulation calculation.

103: Based on the traffic flow exceeding the preset traffic flow threshold, control the signal lights at the first traffic intersection according to the traffic flow, and feed back the control result to the vehicles waiting to pass.

At each traffic intersection, in order to allow vehicles to pass smoothly, a preset traffic flow threshold will be set in advance. When the traffic flow exceeds the preset traffic flow threshold, it will start to control the signal lights at the first traffic intersection. The control includes but Not limited to control over signal light color and/or duration.

In order to control the timeliness of signal lights according to the traffic flow, in the embodiment of the present disclosure, the control strategy is written in the configuration file in advance, based on the traffic flow exceeding the preset traffic flow threshold, the control strategy is directly obtained from the configuration file, and the control strategy Send it down to the semaphore for execution to ensure the timeliness of controlling the semaphore.

In the signal light control method provided by the embodiments of the present disclosure, after receiving and collecting the vehicle driving state based on the visible light communication LiFi signal, the traffic flow of the first traffic intersection is calculated according to the vehicle driving state, and the first traffic intersection is a vehicle that is about to pass through. At the intersection, based on the traffic flow exceeding the preset traffic flow threshold, the signal lights at the first traffic intersection are controlled according to the traffic flow. Compared with related technologies, the signal light control method of the embodiment of the present disclosure can identify the driving state of the vehicle in a scene with low visibility through the LiFi signal, thereby improving the accuracy of traffic signal light control.

As a further extension of the above implementation method, if the traffic flow exceeds the preset traffic flow threshold, it means that there is congestion at the first traffic intersection. In order to allow the vehicles waiting to pass to plan the route in advance, the current traffic flow will be sent to the vehicles waiting to pass, so that Plan the route in advance or know the passing time of the first traffic intersection in advance, which can be divided into two ways, as the first possible implementation: based on the LiFi signal, the traffic flow of the first traffic intersection is sent to the Vehicles waiting to pass at the first traffic intersection. The first way can inform the user of the passing time of the first traffic intersection.

As a second possible implementation mode: Carry out traffic flow analysis on the second traffic intersection, the second traffic intersection is a traffic intersection adjacent to the first traffic intersection, and analyze the traffic flow of the first traffic intersection and the second traffic intersection. Carry out a comprehensive calculation of the traffic flow at the traffic intersection, perform route planning on the driving route of the vehicle to pass according to the comprehensive calculation result, and send the route plan to the vehicle to pass. The second way can plan a reasonable driving route to further reduce road congestion.

In order to facilitate the understanding of the first traffic intersection and the second traffic intersection, Figure 3 illustrates in the form of an example. Assuming that the first traffic intersection is point A, then the traffic intersections B, C, D, and E are all The traffic intersection is the adjacent traffic intersection of A, that is, the traffic intersections B, C, D, and E are the second traffic intersections. In the figure, the traffic intersections F and H are not adjacent to the traffic intersection A, so the traffic intersection is F and not the second traffic intersection intersection. Since the vehicle is moving dynamically, assuming that the vehicle's traffic route is C-A-D, when the vehicle travels to C, that C traffic intersection is used as the first traffic intersection, and traffic intersections A, F, and H are used as the second traffic intersection, and the vehicle travels to the traffic intersection During A, this place is used as the first traffic intersection, and traffic intersections B, C, D, and E are the second traffic intersections, and so on.

It should be noted that, according to different scenarios, the first possible implementation manner, or one of the second possible implementation manner may be implemented, or, in the second possible implementation manner, no user pair path is detected. In the case of a planned confirmation operation, the first possible implementation is performed. The implementation of the two methods makes the signal light control method based on the LiFi signal more flexible and can meet the different needs of users.

In the embodiment of the present disclosure, when controlling the signal lights, the control is based on the control strategy in the configuration file, which contains different traffic flow levels and corresponding control strategies. The control strategy includes controlling the color and duration of the signal lights, According to the traffic volume and the configuration file, determine the traffic volume level of the first traffic intersection, and control the color and duration of the signal light according to the determined traffic volume level.

For ease of understanding, the configuration file is shown in Table 1. Each traffic flow level corresponds to a control strategy. After the control strategy is determined according to the traffic flow, the control strategy is directly sent to the signal light to complete the control of the signal light. It should be noted that the content shown in Table 1 is only an explanation for easy understanding, and the embodiment of the present disclosure does not limit the specific content in the configuration file.

Table 1

In related technologies, when planning a route, a navigation system or a dedicated navigation application (Application, APP) is generally used. In the embodiment of the present disclosure, the traffic signal light control system can also perform route planning, specifically including: acquiring the LiFi The driving destination information carried in the signal is used to plan the driving route of the vehicle to pass based on the comprehensive calculation result and the driving destination information. When planning, according to the current traffic light (first traffic intersection), the second traffic intersection and the destination information, it can be seen from Figure 3 that there may be multiple second traffic intersections. The information can confirm a crossing to pass through from multiple crossings in the second traffic crossing, which can not only realize the control of traffic signals, but also realize the reasonable planning of the route.

An embodiment of the present disclosure also provides a signal light control method, the method is applied to vehicles waiting to pass, as shown in FIG. 4 , the method includes 201-202. :

201: Send the collected vehicle driving state to a signal light control system, so that the signal light control information calculates the traffic flow at a traffic intersection based on the vehicle driving state, so as to control the signal light based on the traffic flow.

In the embodiment of the present disclosure, in order to identify the vehicle to be communicated in the scene of low visibility such as rain, snow, night, etc., the vehicle to pass transmits the LiFi signal containing the driving state of the vehicle to the Signal light control system, so that the signal light control system can encode, decode and identify based on the LiFi signal, and complete a communication process.

202: Receive a signal light control result for the traffic flow sent by the signal light control system.

The purpose of the signal light control system to feed back the signal light control results for the traffic flow is to inform the waiting time for the vehicles to pass through the intersection, and/or the current road condition information, so that the user can make a final decision on the driving strategy (continue to wait to pass the intersection or change The current driving route) is confirmed, which improves the user's driving experience.

The signal light control method provided by the embodiments of the present disclosure calculates the traffic volume of the first traffic intersection according to the vehicle driving state after receiving the collected vehicle driving state, and the first traffic intersection is the intersection that the vehicle is about to pass, based on When the traffic flow exceeds the preset traffic flow threshold, the signal lights at the first traffic intersection are controlled according to the traffic flow, and the control result is fed back to the vehicles waiting to pass. Compared with related technologies, the signal light control method of the embodiment of the present disclosure can identify the driving state of the vehicle in a scene with low visibility, thereby improving the accuracy of traffic signal light control.

In related technologies, when planning a route, a navigation system or a dedicated navigation application (Application, APP) is generally used. In the embodiment of the present disclosure, the traffic signal light control system can also perform route planning, and the traffic signal light control system can confirm the route. After that, it is sent to the vehicle to be opened to traffic. The specific execution process includes: the vehicle to pass sends the driving destination information to the signal light control system based on the visible light communication signal (LiFi signal), so that the signal light control system can The route planning of the driving route of the vehicle to pass is carried out based on the ground information and the traffic flow, and the vehicle to pass receives the route planning sent by the signal light control system to realize reasonable planning of the route.

In summary, compared with the traffic signal light control system described in the related art, the signal light control method of the embodiment of the disclosure has better accuracy in traffic flow detection, and can be applied to traditional image recognition-based traffic control systems in severe weather conditions. In the scene where the flow monitoring system is difficult to detect accurately, the traffic flow can be monitored more accurately, thus making the traffic signal light control more effective.

Fig. 5 is a schematic structural diagram of a signal light control device provided by an embodiment of the present disclosure. As shown in FIG. 5 , the signal light control device includes: a receiving unit 31 , a first computing unit 32 and a control unit 33 .

The receiving unit 31 is used for receiving the collected driving state of the vehicle.

The first calculation unit 32 is configured to calculate the traffic volume of a first traffic intersection according to the vehicle driving state received by the receiving unit, and the first traffic intersection is an intersection that vehicles are about to pass through.

The control unit 33 is configured to control the signal lights at the first traffic intersection according to the traffic volume based on the traffic volume exceeding a preset traffic volume threshold.

The signal light control device provided by the embodiments of the present disclosure calculates the traffic volume of the first traffic intersection according to the vehicle driving state after receiving the collected vehicle driving state. The first traffic intersection is the intersection that the vehicle is about to pass, based on the When the traffic flow exceeds the preset traffic flow threshold, the signal lights at the first traffic intersection are controlled according to the traffic flow, and the control result is fed back to the vehicles waiting to pass. Compared with related technologies, the signal light control device of the embodiment of the present disclosure can recognize the driving state of the vehicle in a scene with low visibility, thereby improving the accuracy of traffic signal light control.

In some embodiments, as shown in FIG. 6 , the signal light control device further includes: a first sending unit 34 .

The first sending unit 34 is used to send the traffic flow of the first traffic intersection to the waiting traffic signal based on the visible light communication signal (LiFi signal) after the control unit controls the signal lights of the first traffic intersection according to the traffic flow. Vehicles waiting to pass at the first traffic intersection.

In some embodiments, as shown in FIG. 6 , the control unit 33 includes: an acquisition module 331 , a determination module 332 and a control module 333 .

The obtaining module 331 is used to obtain configuration files, which include different traffic flow levels and corresponding control strategies, and the control strategies include controlling the color and duration of signal lights.

The determination module 332 is configured to determine the traffic volume level of the first traffic intersection according to the traffic volume and the configuration file acquired by the acquisition module.

The control module 333 is used to control the color and duration of the signal light according to the traffic flow level determined by the determination module.

In some embodiments, as shown in FIG. 6 , the signal light control device further includes: an analysis unit 35 , a second calculation unit 36 , a planning unit 37 and a second sending unit 38 .

The analyzing unit 35 is used for analyzing the traffic flow of the second traffic intersection, which is a traffic intersection adjacent to the first traffic intersection.

The second calculating unit 36 is used for comprehensively calculating the traffic flow of the first traffic intersection and the second traffic intersection.

The planning unit 37 is configured to perform path planning on the travel path of the vehicle to pass according to the comprehensive calculation result.

The second sending unit 38 is configured to send the route plan to the vehicle to pass.

In some embodiments, as shown in FIG. 6 , the receiving unit 31 includes: a receiving module 311 and a decoding module 312 .

The receiving module 311 is configured to receive the coded light signal sent by the vehicle to pass based on the LiFi signal.

The decoding module 312 is used for decoding the light signal to obtain the driving state of the vehicle.

In some embodiments, as shown in FIG. 6 , the planning unit 37 further includes: an acquisition module 371 and a planning module 372 .

The acquiring module 371 is configured to acquire the driving destination information carried in the LiFi signal.

The planning module 372 is configured to perform route planning on the travel route of the vehicle to pass based on the comprehensive calculation result and the travel destination information.

Fig. 7 is a signal light control device provided by an embodiment of the present disclosure, and the device is applied to vehicles waiting to pass. As shown in FIG. 7 , the signal light control device includes: a first sending unit 41 and a first receiving unit 42 .

The first sending unit 41 is used to send the collected vehicle driving state to the signal light control system, so that the signal light control information can calculate the traffic flow at the intersection based on the vehicle driving state, so as to control the signal light based on the traffic flow.

The first receiving unit 42 is configured to receive the signal light control result for the traffic flow sent by the signal light control system.

In some embodiments, as shown in FIG. 8 , the signal light control device further includes: a second sending unit 43 and a second receiving unit 44 .

The second sending unit 43 is configured to send the driving destination information to the signal light control system based on the visible light communication signal (LiFi signal), so that the signal light control system treats the waiting traffic according to the driving destination information and the traffic volume. Carry out path planning for the driving path of the vehicle.

The second receiving unit 44 is configured to receive the path plan sent by the signal light control system.

In some embodiments, the first sending unit 41 is further configured to send the collected driving state of the vehicle to the signal light control system based on a visible light communication signal (LiFi signal).

It should be noted that the foregoing explanations for the method embodiment are also applicable to the device of this embodiment, and the principles are the same, and are not limited in this embodiment.

According to the embodiments of the present disclosure, the embodiments of the present disclosure also provide a vehicle, an electronic device, a readable storage medium, and a computer program product.

According to an embodiment of the present disclosure, there is also provided an electronic device, including: at least one processor; and a memory connected in communication with the at least one processor; wherein, the memory stores information that can be used by the at least one processor Executable instructions, the instructions are executed by the at least one processor, so that the at least one processor can execute the method described in any one of the preceding embodiments.

According to an embodiment of the present disclosure, there is also provided a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to make the computer execute the method described in any of the foregoing embodiments.

According to an embodiment of the present disclosure, there is also provided a computer program product, including a computer program, when the computer program is executed by a processor, the method described in any one of the foregoing embodiments is implemented.

FIG. 9 shows a schematic block diagram of an example electronic device 500 that may be used to implement embodiments of the present disclosure. Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein.

As shown in Figure 9, the device 500 includes a computing unit 501, which can be loaded into a RAM (Random Access Memory, Random Access/ accesses the computer program in the memory) 503 to execute various appropriate actions and processes. In the RAM 503, various programs and data necessary for the operation of the device 500 can also be stored. The computing unit 501, ROM 502, and RAM 503 are connected to each other through a bus 504. An I/O (Input/Output, input/output) interface 505 is also connected to the bus 504 .

Multiple components in the device 500 are connected to the I/O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a magnetic disk, an optical disk, etc. ; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 509 allows the device 500 to exchange information/data with other devices over a computer network such as the Internet and/or various telecommunication networks.

The computing unit 501 may be various general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of computing unit 501 include but are not limited to CPU (Central Processing Unit, central processing unit), GPU (Graphic Processing Units, graphics processing unit), various dedicated AI (Artificial Intelligence, artificial intelligence) computing chips, various operating The computing unit of the machine learning model algorithm, DSP (Digital Signal Processor, digital signal processor), and any appropriate processor, controller, microcontroller, etc. The calculation unit 501 executes various methods and processes described above, for example, a signal light control method based on LiFi signals. For example, in some embodiments, the LiFi signal-based signal light control method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 508 . In some embodiments, part or all of the computer program may be loaded and/or installed on the device 500 via the ROM 502 and/or the communication unit 509. When a computer program is loaded into RAM 505 and executed by computing unit 501, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured in any other appropriate way (for example, by means of firmware) to execute the aforementioned signal light control method.

Various implementations of the systems and technologies described above in this paper can be implemented in digital electronic circuit systems, integrated circuit systems, FPGA (Field Programmable Gate Array, Field Programmable Gate Array), ASIC (Application-Specific Integrated Circuit, application-specific integrated circuit) , ASSP (Application Specific Standard Product, dedicated standard product), SOC (System On Chip, system on a chip), CPLD (Complex Programmable Logic Device, complex programmable logic device), computer hardware, firmware, software, and/or realized in combination of them. These various embodiments may include being implemented in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor Can be special-purpose or general-purpose programmable processor, can receive data and instruction from storage system, at least one input device, and at least one output device, and transmit data and instruction to this storage system, this at least one input device, and this at least one output device an output device.

Program codes for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special purpose computer, or other programmable data processing devices, so that the program codes, when executed by the processor or controller, make the functions/functions specified in the flow diagrams and/or block diagrams Action is implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory, Erasable Programmable Read-Only Memory) Or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory, portable compact disk read-only memory), optical storage device, magnetic storage device, or any suitable combination of the above.

To provide interaction with the user, the systems and techniques described herein can be implemented on a computer having a display device (e.g., a CRT (Cathode-Ray Tube) or LCD ( Liquid Crystal Display (LCD) monitor); and a keyboard and pointing device (such as a mouse or trackball) through which a user can provide input to a computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and can be in any form (including Acoustic input, speech input or, tactile input) to receive input from the user.

The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., as a a user computer having a graphical user interface or web browser through which a user can interact with embodiments of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system can be interconnected by any form or medium of digital data communication, eg, a communication network. Examples of communication networks include: LAN (Local Area Network, local area network), WAN (Wide Area Network, wide area network), the Internet, and blockchain networks.

A computer system may include clients and servers. Clients and servers are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the problem of traditional physical host and VPS service ("Virtual Private Server", or "VPS") Among them, there are defects such as difficult management and weak business scalability. The server can also be a server of a distributed system, or a server combined with a blockchain.

Among them, it should be noted that artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), including both hardware-level technology and software-level technology. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, and machine learning/depth Learning, big data processing technology, knowledge map technology and other major directions.

According to an embodiment of the present disclosure, there is also provided a computer program, the computer program includes computer program code, and when the computer program code is run on a computer, the computer is made to execute the method described in any one of the foregoing embodiments.

It should be noted that the foregoing explanations of the embodiments of the signal light control method and the signal light control device are also applicable to the vehicles, electronic equipment, computer readable storage media, computer program products, and computer programs of the above embodiments, and will not be repeated here.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, each step described in the present disclosure may be executed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution disclosed in the present disclosure can be achieved, no limitation is imposed herein.

The specific implementation manners described above do not limit the protection scope of the present disclosure. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present disclosure shall be included within the protection scope of the present disclosure.

All the embodiments of the present disclosure can be implemented independently or in combination with other embodiments, which are all regarded as the scope of protection required by the present disclosure.

Claims

A signal light control method, characterized in that the method is applied to a signal light control system, comprising:

Receive the collected vehicle driving status;

Calculating the traffic volume of a first traffic intersection according to the driving state of the vehicle, the first traffic intersection is an intersection that the vehicle is about to pass through; and

Based on the traffic flow exceeding the preset traffic flow threshold, the signal lights at the first traffic intersection are controlled according to the traffic flow, and the control result is fed back to the vehicles waiting to pass.
The control method according to claim 1, characterized in that, after controlling the signal lights at the first traffic intersection according to the traffic flow, the method further comprises:

The traffic flow of the first traffic intersection is sent to vehicles waiting to pass through the first traffic intersection based on a visible light communication signal (LiFi signal).
The control method according to claim 1 or 2, wherein controlling the signal lights at the first traffic intersection according to the traffic flow comprises:

Obtain a configuration file, which includes different traffic flow levels and corresponding control strategies, and the control strategy includes controlling the color and duration of signal lights;

determining the traffic flow level of the first traffic intersection according to the traffic volume and the profile; and

The color and duration of the signal light are controlled according to the determined traffic flow level.
The method according to any one of claims 1 to 3, wherein the method further comprises:

Carrying out traffic flow analysis on a second traffic intersection, where the second traffic intersection is a traffic intersection adjacent to the first traffic intersection;

Carry out comprehensive calculation on the traffic volume of the first traffic intersection and the second traffic intersection;

performing path planning on the driving path of the vehicle to pass according to the comprehensive calculation result; and

Sending the route plan to the vehicle waiting to pass.
The control method according to any one of claims 1 to 4, characterized in that receiving the collected driving state of the vehicle comprises:

receiving the encoded light signal sent by the vehicle to pass based on the LiFi signal; and

Decoding the light signal to obtain the driving state of the vehicle.
The control method according to claim 5, wherein the path planning for the travel path of the vehicle to pass according to the comprehensive calculation result comprises:

Obtain the driving destination information carried in the LiFi signal; and

Carry out route planning for the travel route of the vehicle to pass based on the comprehensive calculation result and the travel destination information.
A signal light control method, characterized in that the method is applied to vehicles waiting to pass, including:

Sending the collected vehicle driving state to a signal light control system, so that the signal light control information calculates the traffic flow at the intersection based on the vehicle driving state, so as to control the signal light based on the traffic flow; and

A signal light control result for the traffic flow sent by the signal light control system is received.
The control method according to claim 7, wherein the method further comprises:

Sending destination information to the signal light control system based on a visible light communication signal (LiFi signal), so that the signal light control system performs path planning for the driving route of the vehicle to pass according to the driving destination information and the traffic volume ;and

receiving the path planning sent by the signal light control system.
The control method according to claim 7 or 8, wherein sending the collected vehicle driving state to the signal light control system comprises:

The collected vehicle driving state is sent to the signal lamp control system based on the visible light communication signal (LiFi signal).
A signal light control device, characterized in that the device is applied to a signal light control system, comprising:

a receiving unit, configured to receive the collected vehicle driving state;

a first calculating unit, configured to calculate the traffic volume of a first traffic intersection according to the vehicle driving state received by the receiving unit, and the first traffic intersection is an intersection that vehicles are about to pass through; and

The control unit is configured to control the signal lights at the first traffic intersection according to the traffic volume when the traffic volume exceeds the preset traffic volume threshold, and feed back the control result to the vehicles waiting to pass.
A signal light control device, characterized in that the device is applied to vehicles waiting to pass, including:

The first sending unit is configured to send the collected vehicle driving state to a signal light control system, so that the signal light control information calculates the traffic flow at the intersection based on the vehicle driving state, so as to control the signal light based on the traffic flow; and

The first receiving unit is configured to receive the signal light control result for the traffic flow sent by the signal light control system.
A vehicle, characterized in that the vehicle comprises the signal lamp control device according to claim 11.
An electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor can perform any one of claims 1-6 or 7 - the method described in any one of 9.
A computer-readable storage medium, characterized in that the readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements any one of the preceding claims 1-6 or The method described in any one of 7-9.
A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-6 or 7-9.
A computer program, characterized in that the computer program includes computer program code, and when the computer program code is run on a computer, the computer executes any one of claims 1-6 or any one of claims 7-9. one of the methods described.