CN110853384A

CN110853384A - Vehicle and traffic light vehicle speed matching optimization system and method based on 5G technology

Info

Publication number: CN110853384A
Application number: CN201810956835.2A
Authority: CN
Inventors: 时红仁
Original assignee: Shanghai Qinggan Intelligent Technology Co Ltd
Current assignee: Shanghai Qinggan Intelligent Technology Co Ltd
Priority date: 2018-08-21
Filing date: 2018-08-21
Publication date: 2020-02-28

Abstract

The utility model relates to a 5G technical field provides a vehicle and traffic lights speed of a motor vehicle matches optimization system, method based on 5G technique, and the vehicle adopts 5G car networking network to acquire real-time position when driving to the target traffic lights, according to real-time position calculation vehicle arrives the real-time distance of target traffic lights, monitors real-time position with road conditions information between the target traffic lights with the real-time state of target traffic lights, according to real-time distance road conditions information with the real-time state is right the speed of a motor vehicle matches the optimization, obtains in order to calculate the best speed of traveling of vehicle. According to the vehicle management system, the 5G vehicle networking technology is adopted, the real-time position of the vehicle is accurately/quickly acquired, the traffic light state and the road condition information are acquired, internal operation is carried out at a real-time distance, the optimal driving speed can be recommended for a driver, the consumption and the energy consumption of parts of the vehicle are reduced, the traffic efficiency can be effectively improved, and the vehicle management system is favorable for popularization and use.

Description

Vehicle and traffic light vehicle speed matching optimization system and method based on 5G technology

Technical Field

The application relates to the technical field of 5G, in particular to a traffic light vehicle speed matching optimization system and method based on a 5G technology, and a vehicle applied to the traffic light vehicle speed matching optimization system based on the 5G technology.

Background

With the continuous improvement of living standard, automobiles are more and more common in the life of people, and gradually become one of indispensable vehicles in the life of people in cities and villages.

Meanwhile, people no longer simply define the automobile as a transportation tool and a travel tool, and the requirements on the aspects of safety, environmental protection, comfort, entertainment and the like of the automobile are increasing. The rapid increase of the demands in these aspects leads to increasingly prominent problems of shortage of spectrum resources, crowded frequency bands, safety and the like of vehicle-mounted communication. With the rapid development of the fifth generation mobile communication (5G), the current car networking problem can be effectively solved through the performances of low time delay, high reliability, efficient spectrum utilization and the like, so that the implementation and deployment of the 5G car networking are imperative.

On the other hand, as the automobile reserves in China increase year by year, the traffic illegal behaviors are frequently prohibited. The illegal red light running occupies a large proportion of all traffic illegal behaviors, the punishment is serious, 6 points are deducted once, and the illegal cost is very high.

However, there are many factors causing red light running, such as the safety of the driver is low, the driver is not familiar with the driving route, and the driver does not see the traffic light clearly due to the influence of the surrounding environment factors. Among these factors, environmental factors have the greatest influence on drivers, and include bad weather (rain, snow, fog, haze, etc.), poor light at night, and shielding of large vehicles ahead while following the vehicle. These all can influence navigating mate to the accurate timely observation of traffic lights to lead to the wrong act of offending of making a dash across the red light.

In addition, because the driver is not focused or inaccurate in judgment, the driver can often see that the vehicle waits for a long time at one intersection, and after the red light at the current intersection is switched to the green light, the vehicle is quickly started and accelerated, but if the vehicle reaches the next intersection or reaches the red light, the driver needs to decelerate to stop and wait again, so that the driving load of the driver is increased, the accelerated consumption of relevant parts of the vehicle is also caused, and meanwhile, in the process of frequently braking to stop and starting, the higher energy consumption is caused, the traffic efficiency is further greatly reduced, and the energy waste and the unnecessary loss of the vehicle are also caused.

Aiming at various defects in the prior art, the inventor of the application provides a vehicle and a traffic light vehicle speed matching optimization system and method based on a 5G technology through intensive research.

Disclosure of Invention

The application aims to provide a vehicle and a traffic light vehicle speed matching optimization system and method based on a 5G technology, the application can accurately/quickly acquire the real-time position of the vehicle through the 5G vehicle networking technology, acquire traffic light state and road condition information, perform internal operation at a real-time distance, and recommend the optimal driving vehicle speed to a driver, so that the vehicle can directly pass through the traffic light under the stable and comfortable condition when driving at the speed, the traffic light does not need to wait, or the vehicle stops before driving to the traffic light at a constant speed, the emergency brake and other conditions are avoided, the driving comfort can be effectively improved, the consumption and energy consumption of parts of the vehicle are reduced, the traffic efficiency can be effectively improved, and the popularization and the use are facilitated.

In order to solve the technical problem, the application provides a traffic light vehicle speed matching optimization method based on a 5G technology, wherein the traffic light vehicle speed matching optimization method comprises the following steps:

when the vehicle drives to a target traffic light, a 5G internet of vehicles network is adopted to obtain a real-time position;

calculating the real-time distance from the vehicle to the target traffic light according to the real-time position;

monitoring road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light;

and matching and optimizing the vehicle speed of the vehicle according to the real-time distance, the road condition information and the real-time state so as to calculate the optimal running speed of the vehicle.

After the step of performing matching optimization on the vehicle speed of the vehicle according to the real-time distance, the road condition information and the real-time state to calculate the optimal running speed of the vehicle, the method further comprises the following steps of:

prompting the optimal running speed to a user so that the user can control the vehicle speed to run at the optimal running speed in a reference manner;

or automatically controlling the vehicle speed of the vehicle to run at the optimal running speed according to the optimal running speed.

The step of monitoring the road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light specifically comprises the following steps:

acquiring a special target traffic light indicator light of a current lane, lane speed limit information and real-time traffic flow information;

and monitoring according to the lane speed limit information and the real-time traffic flow information to obtain road condition information, and monitoring according to the special indicator light of the target traffic light to obtain the real-time state of the special indicator light of the current lane.

detecting a traffic emergency state of the current lane;

and if the traffic emergency state is detected, adjusting the optimal running speed in real time.

The traffic light vehicle speed matching optimization method further comprises the following steps:

the vehicle establishes network connection with a front vehicle through a 5G internet of vehicles network;

and pushing the optimal running speed to the front vehicle.

In order to solve the above technical problem, the present application further provides a traffic light vehicle speed matching optimization system based on the 5G technology, wherein the traffic light vehicle speed matching optimization system includes a processor, the processor is configured to execute traffic light vehicle speed matching optimization program data based on the 5G technology, and the implementation steps include:

The processor is used for executing traffic light vehicle speed matching optimization program data based on the 5G technology, and the implementation steps further comprise:

The processor is used for executing traffic light vehicle speed matching optimization program data based on a 5G technology, and the implementation steps specifically comprise:

detecting a traffic emergency state of the current lane;

establishing network connection between the vehicle and the front vehicle through a 5G internet of vehicles network;

and pushing the optimal running speed to the front vehicle.

In order to solve the technical problem, the application further provides a vehicle, wherein the vehicle is provided with the traffic light vehicle speed matching optimization system based on the 5G technology.

According to the vehicle and the traffic light vehicle speed matching optimization system and method based on the 5G technology, when the vehicle drives to a target traffic light, a 5G vehicle networking network is adopted to obtain a real-time position, the real-time distance from the vehicle to the target traffic light is calculated according to the real-time position, road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light are monitored, and the vehicle speed of the vehicle is matched and optimized according to the real-time distance, the road condition information and the real-time state so as to calculate and obtain the optimal driving speed of the vehicle. This application accessible 5G car networking technology, the real-time position of accurate/fast acquisition vehicle, acquire traffic light state and road conditions information, and carry out inside operation apart from in real time, can recommend the best speed of a motor vehicle of traveling for the driver, thereby make the vehicle can directly pass through the traffic light in steady and comfortable condition under this speed of a motor vehicle traveling, need not wait for the traffic light, or stop before the traffic light is driven at the uniform velocity under this speed of a motor vehicle, avoid situations such as emergency brake, thereby can improve driving comfort effectively, reduce the consumption and the energy consumption of vehicle part spare part, can also improve traffic efficiency effectively, do benefit to and use widely.

The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present application more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.

Drawings

Fig. 1 is a schematic flow chart of an embodiment of a traffic light vehicle speed matching optimization method based on the 5G technology.

FIG. 2 is a block diagram of a traffic light vehicle speed matching optimization system based on the 5G technology.

Detailed Description

To further illustrate the technical means and effects of the present application for achieving the intended application purpose, the following detailed description is provided with reference to the accompanying drawings and preferred embodiments for a vehicle and a traffic light vehicle speed matching optimization system based on 5G technology, and the following detailed description is provided with specific implementation manners, methods, steps, features and effects thereof.

The foregoing and other technical matters, features and effects of the present application will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present application has been described in terms of specific embodiments and examples for achieving the desired objects and objectives, it is to be understood that the invention is not limited to the disclosed embodiments, but is to be accorded the widest scope consistent with the principles and novel features as defined by the appended claims.

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of a traffic light vehicle speed matching optimization method based on the 5G technology.

It should be noted that, the traffic light vehicle speed matching optimization method according to the present embodiment may include, but is not limited to, the following steps.

Step S101, when a vehicle drives to a target traffic light, a 5G internet of vehicles network is adopted to obtain a real-time position;

step S102, calculating the real-time distance from the vehicle to the target traffic light according to the real-time position;

step S103, monitoring road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light;

and step S104, carrying out matching optimization on the vehicle speed of the vehicle according to the real-time distance, the road condition information and the real-time state so as to calculate the optimal running speed of the vehicle.

It should be noted that, in the embodiment, a 5G car networking network is used for positioning, which can be accurate to a centimeter level, and accurate positioning, judgment and control of a vehicle are realized.

In this embodiment, after the step of performing matching optimization on the vehicle speed of the vehicle according to the real-time distance, the road condition information, and the real-time status to calculate the optimal driving speed of the vehicle, the method may further include: prompting the optimal running speed to a user so that the user can control the vehicle speed to run at the optimal running speed in a reference manner; or automatically controlling the vehicle speed of the vehicle to run at the optimal running speed according to the optimal running speed.

It is understood that by combining the prompting and the automatic control, more active choices can be provided for the user, the interaction performance between the user and the user is increased, and the user experience is improved.

It is worth mentioning that the step of monitoring the road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light may specifically include: acquiring a special target traffic light indicator light of a current lane, lane speed limit information and real-time traffic flow information; and monitoring according to the lane speed limit information and the real-time traffic flow information to obtain road condition information, and monitoring according to the special indicator light of the target traffic light to obtain the real-time state of the special indicator light of the current lane.

In the present embodiment, the special indicator lamp may include a left turn lamp, a straight running lamp, a right turn lamp, and the like, to perform accurate guidance according to the current lane of the user.

It should be particularly noted that, after the step of performing matching optimization on the vehicle speed according to the real-time distance, the traffic information, and the real-time status to calculate the optimal driving speed of the vehicle, the step of performing matching optimization on the vehicle speed according to the real-time distance, the traffic information, and the real-time status may further include: detecting a traffic emergency state of the current lane; and if the traffic emergency state is detected, adjusting the optimal running speed in real time.

In some practical scenarios, other vehicles participating in the traffic may not be driven properly, such as a slow run or a hurdle, which may easily affect the determination of the embodiment of the present application, and therefore, the traffic light vehicle speed matching optimization method according to the embodiment may further include: the vehicle establishes network connection with a front vehicle through a 5G internet of vehicles network; and pushing the optimal running speed to the front vehicle. Or the vehicle establishes network connection with a rear vehicle through a 5G internet of vehicles network; and pushing the optimal running speed to the rear vehicle.

This application is through 5G car networking technology, the real-time position of accurate/fast acquisition vehicle, acquire traffic light state and road conditions information, and carry out inside operation apart from in real time, can recommend the best speed of a motor vehicle of traveling for the driver, thereby make the vehicle can directly pass through the traffic light in steady and comfortable condition under this speed of a motor vehicle traveling, need not wait for the traffic light, or stop before the traffic light is driven at the uniform velocity under this speed of a motor vehicle, avoid situations such as emergency brake, thereby can improve driving comfort effectively, reduce consumption and the energy consumption of vehicle part spare part, can also improve traffic efficiency effectively, do benefit to and use widely.

Referring to fig. 2, fig. 2 is a schematic block diagram of a traffic light vehicle speed matching optimization system based on the 5G technology.

In this embodiment, the traffic light vehicle speed matching optimization system may include a processor 21, where the processor 21 is configured to execute traffic light vehicle speed matching optimization program data based on a 5G technology, and the implementation steps include: when the vehicle drives to a target traffic light, a 5G Internet of vehicles network is adopted to obtain a real-time position; calculating the real-time distance from the vehicle to the target traffic light according to the real-time position; monitoring road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light; and matching and optimizing the vehicle speed of the vehicle according to the real-time distance, the road condition information and the real-time state so as to calculate the optimal running speed of the vehicle.

It should be noted that the system of the present embodiment may be integrated into a car machine device, or deployed at a cloud server, or deployed in a vehicle itself, which is not limited herein.

The processor 21 is configured to execute traffic light vehicle speed matching optimization program data based on a 5G technology, and the implementation steps may further include: prompting the optimal running speed to a user so that the user can control the vehicle speed to run at the optimal running speed in a reference manner; or automatically controlling the vehicle speed of the vehicle to run at the optimal running speed according to the optimal running speed.

In this embodiment, the processor 21 is configured to execute traffic light vehicle speed matching optimization program data based on a 5G technology, and the implementation steps specifically include: acquiring a special target traffic light indicator light of a current lane, lane speed limit information and real-time traffic flow information; and monitoring according to the lane speed limit information and the real-time traffic flow information to obtain road condition information, and monitoring according to the special indicator light of the target traffic light to obtain the real-time state of the special indicator light of the current lane.

As mentioned above, the processor 21 is configured to execute the traffic light vehicle speed matching optimization program data based on the 5G technology, and the implementation steps may further include: detecting a traffic emergency state of the current lane; and if the traffic emergency state is detected, adjusting the optimal running speed in real time.

In this embodiment, the processor 21 is configured to execute traffic light vehicle speed matching optimization program data based on a 5G technology, and the implementation steps may further include: establishing network connection between the vehicle and the front vehicle through a 5G internet of vehicles network; and pushing the optimal running speed to the front vehicle.

It should be noted that, the present application may also provide a vehicle, wherein the vehicle is configured with the traffic light vehicle speed matching optimization system based on the 5G technology.

It should be noted that the 5G technology of the present embodiment may be a technology oriented to a scene, and the present application utilizes the 5G technology to play a key supporting role for a vehicle (especially an intelligent networked automobile), and simultaneously implements connection of people, a connection object, or a connection vehicle, and may specifically adopt the following three typical application scenarios.

The first is eMBB (enhanced Mobile Broadband), so that the user experience rate is 0.1-1 gpbs, the peak rate is 10gbps, and the traffic density is 10Tbps/km 2;

for the second ultra-reliable low-delay communication, the main index which can be realized by the method is that the end-to-end time delay is in the ms (millisecond) level; the reliability is close to 100%;

the third is mMTC (mass machine type communication), and the main index which can be realized by the application is the connection number density, 100 ten thousand other terminals are connected per square kilometer, and the connection number density is 10^6/km 2.

Through the mode, the characteristics of the super-reliable of this application utilization 5G technique, low time delay combine for example radar and camera etc. just can provide the ability that shows for the vehicle, can realize interdynamic with the vehicle, utilize the interactive perception function of 5G technique simultaneously, and the user can do an output to external environment, and the unable light can detect the state, can also do some feedbacks etc.. Further, the method and the device can also be applied to cooperation of automatic driving, such as cooperation type collision avoidance and vehicle formation among vehicles, so that the vehicle speed is integrally formed and the passing efficiency is improved.

In addition, the communication enhancement automatic driving perception capability can be achieved by utilizing the 5G technology, and the requirements of passengers in the automobile on AR (augmented reality)/VR (virtual reality), games, movies, mobile office and other vehicle-mounted information entertainment and high precision can be met. According to the method and the device, the downloading amount of the 3D high-precision positioning map at the centimeter level can be 3-4 Gb/km, the data volume of the map per second under the condition that the speed of a normal vehicle is limited to 120km/h (kilometer per hour) is 90 Mbps-120 Mbps, and meanwhile, the real-time reconstruction of a local map fused with vehicle-mounted sensor information, modeling and analysis of dangerous situations and the like can be supported.

It should be noted that the method and the device can also be applied to an automatic driving layer, can assist in realizing partial intelligent cloud control on the urban fixed route vehicles by utilizing a 5G technology, and can realize cloud-based operation optimization and remote display and control under specific conditions on unmanned vehicles in parks and ports.

In the present application, the above-mentioned system and method based on the 5G technology CAN be used in a vehicle system having a vehicle TBOX, i.e. the vehicle is a vehicle system that CAN have a vehicle TBOX, and CAN be further connected to a CAN bus of the vehicle.

In this embodiment, the CAN may include three network channels CAN _1, CAN _2, and CAN _3, and the vehicle may further include one ethernet network channel, where the three CAN network channels may be connected to the ethernet network channel through two in-vehicle networking gateways, for example, where the CAN _1 network channel includes a hybrid power assembly system, where the CAN _2 network channel includes an operation support system, where the CAN _3 network channel includes an electric dynamometer system, and the ethernet network channel includes a high-level management system, the high-level management system includes a human-vehicle-road simulation system and a comprehensive information collection unit that are connected as nodes to the ethernet network channel, and the in-vehicle networking gateways of the CAN _1 network channel, the CAN _2 network channel, and the ethernet network channel may be integrated in the comprehensive information collection unit; the car networking gateway of the CAN _3 network channel and the Ethernet network channel CAN be integrated in a man-car-road simulation system.

Further, the nodes connected to the CAN _1 network channel include: the hybrid power system comprises an engine ECU, a motor MCU, a battery BMS, an automatic transmission TCU and a hybrid power controller HCU; the nodes connected with the CAN _2 network channel are as follows: the system comprises a rack measurement and control system, an accelerator sensor group, a power analyzer, an instantaneous oil consumption instrument, a direct-current power supply cabinet, an engine water temperature control system, an engine oil temperature control system, a motor water temperature control system and an engine intercooling temperature control system; the nodes connected with the CAN _3 network channel are as follows: electric dynamometer machine controller.

The preferable speed of the CAN _1 network channel is 250Kbps, and a J1939 protocol is adopted; the rate of the CAN _2 network channel is 500Kbps, and a CANopen protocol is adopted; the rate of the CAN _3 network channel is 1Mbps, and a CANopen protocol is adopted; the rate of the Ethernet network channel is 10/100Mbps, and a TCP/IP protocol is adopted.

In this embodiment, the car networking gateway supports a 5G car networking network of 5G technology, which may also be equipped with an IEEE802.3 interface, a DSPI interface, an eSCI interface, a CAN interface, an MLB interface, a LIN interface, and/or an I2C interface.

In this embodiment, for example, the IEEE802.3 interface may be used to connect to a wireless router to provide a WIFI network for the entire vehicle; the DSPI (provider manager component) interface is used for connecting a Bluetooth adapter and an NFC (near field communication) adapter and can provide Bluetooth connection and NFC connection; the eSCI interface is used for connecting the 4G/5G module and communicating with the Internet; the CAN interface is used for connecting a vehicle CAN bus; the MLB interface is used for connecting an MOST (media oriented system transmission) bus in the vehicle, and the LIN interface is used for connecting a LIN (local interconnect network) bus in the vehicle; the IC interface is used for connecting a DSRC (dedicated short-range communication) module and a fingerprint identification module. In addition, the application can merge different networks by mutually converting different protocols by adopting the MPC5668G chip.

In addition, the vehicle TBOX system, Telematics-BOX, of the present embodiment is simply referred to as a vehicle TBOX or a Telematics.

Telematics is a synthesis of Telecommunications and information science (information) and is defined as a service system that provides information through a computer system, a wireless communication technology, a satellite navigation device, and an internet technology that exchanges information such as text and voice, which are built in a vehicle. In short, the vehicle is connected to the internet (vehicle networking system) through a wireless network, and various information necessary for driving and life is provided for the vehicle owner.

In addition, Telematics is a combination of wireless communication technology, satellite navigation system, network communication technology and vehicle-mounted computer, when a fault occurs during vehicle running, the vehicle is remotely diagnosed by connecting a service center through wireless communication, and the computer built in the engine can record the state of main parts of the vehicle and provide accurate fault position and reason for maintenance personnel at any time. The vehicle can receive information and check traffic maps, road condition introduction, traffic information, safety and public security services, entertainment information services and the like through the user communication terminal, and in addition, the vehicle of the embodiment can be provided with electronic games and network application in a rear seat. It is easy to understand that, this embodiment provides service through Telematics, can make things convenient for the user to know traffic information, the parking stall situation that closes on the parking area, confirms current position, can also be connected with the network server at home, in time knows electrical apparatus running condition, the safety condition and guest's condition of visiting etc. at home.

The vehicle according to this embodiment may further include an Advanced Driver Assistance System (ADAS) that collects environmental data inside and outside the vehicle at the first time using the various sensors mounted on the vehicle, and performs technical processing such as identification, detection, and tracking of static and dynamic objects, so that a Driver can recognize a risk that may occur at the fastest time, thereby attracting attention and improving safety. Correspondingly, the ADAS of the present application may also employ sensors such as radar, laser, and ultrasonic sensors, which can detect light, heat, pressure, or other variables for monitoring the state of the vehicle, and are usually located on the front and rear bumpers, side view mirrors, the inside of the steering column, or on the windshield of the vehicle. It is obvious that various intelligent hardware used by the ADAS function can be accessed to the 5G car networking network by means of an ethernet link to realize communication connection and interaction.

The host computer of the present embodiment vehicle may comprise suitable logic, circuitry, and/or code that may enable operation and/or functional operation of the five layers above the OSI model (Open System Interconnection, Open communication systems Interconnection reference model). Thus, the host may generate and/or process packets for transmission over the network, and may also process packets received from the network. At the same time, the host may provide services to a local user and/or one or more remote users or network nodes by executing corresponding instructions and/or running one or more applications. In various embodiments of the present application, the host may employ one or more security protocols.

In the present application, the network connection used to implement the 5G car networking network may be a switch, which may have AVB functionality (Audio Video brightening, meeting the IEEE802.1 set of standards), and/or include one or more unshielded twisted pair wires, each of which may have an 8P8C module connector.

In a preferred embodiment, the 5G vehicle networking network specifically comprises a vehicle body control module BCM, a power bus P-CAN, a vehicle body bus I-CAN, a combination meter CMIC, a chassis control device and a vehicle body control device.

In this embodiment, the body control module BCM may integrate the functions of the car networking gateway to perform signal conversion, message forwarding, and the like between different network segments, i.e., between the power bus P-CAN and the body bus I-CAN, for example, if a controller connected to the power bus needs to communicate with a controller connected to the body bus I-CAN, the body control module BCM may perform signal conversion, message forwarding, and the like between the two controllers.

The power bus P-CAN and the vehicle body bus I-CAN are respectively connected with a vehicle body control module BCM.

The combination instrument CMIC is connected with a power bus P-CAN, and the combination instrument CMIC is connected with a vehicle body bus I-CAN. Preferably, the combination meter CMIC of the present embodiment is connected to different buses, such as a power bus P-CAN and a vehicle body bus I-CAN, and when the combination meter CMIC needs to acquire controller information that is hung on any bus, it is not necessary to perform signal conversion and message forwarding through a vehicle body control module BCM, so that gateway pressure CAN be reduced, network load CAN be reduced, and the speed of acquiring information by the combination meter CMIC CAN be increased.

The chassis control device is connected with the power bus P-CAN. The vehicle body control device is connected with a vehicle body bus I-CAN. In some examples, the chassis control device and the body control device CAN respectively broadcast data such as information to the power bus P-CAN and the body bus I-CAN, so that other vehicle-mounted controllers and other devices hung on the power bus P-CAN or the body bus I-CAN CAN acquire the broadcast information, and communication between the vehicle-mounted devices such as different controllers is realized.

In addition, the 5G car networking network of the vehicle of the embodiment CAN use two CAN buses, namely, a power bus P-CAN and a car body bus I-CAN, and the car body control module BCM is used as a gateway, and the structure that the combination meter CMIC is connected with both the power bus P-CAN and the car body bus I-CAN save the operation that information of a chassis control device or a car body control device is forwarded to the combination meter CMIC through the gateway when the combination meter CMIC is hung on one of the two buses in the traditional mode, so that the pressure of the car body control module BCM as the gateway is reduced, the network load is reduced, and the information of vehicle-mounted equipment hung on a plurality of buses, such as the power bus P-CAN and the car body bus I-CAN, is more conveniently sent to the combination meter CMIC for display and has strong real-time information transmission.

Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being included within the following description of the preferred embodiment.

Claims

1. A traffic light vehicle speed matching optimization method based on a 5G technology is characterized by comprising the following steps:

2. The traffic light vehicle speed matching optimization method according to claim 1, wherein after the step of performing matching optimization on the vehicle speed of the vehicle according to the real-time distance, the road condition information and the real-time state to calculate the optimal running speed of the vehicle, the method further comprises:

3. The traffic light vehicle speed matching optimization method according to claim 1, wherein the step of monitoring the road condition information between the real-time position and the target traffic light and the real-time state of the target traffic light specifically comprises:

4. The traffic light vehicle speed matching optimization method according to claim 3, wherein after the step of performing matching optimization on the vehicle speed of the vehicle according to the real-time distance, the road condition information and the real-time state to calculate the optimal running speed of the vehicle, the method further comprises:

detecting a traffic emergency state of the current lane;

5. The traffic light vehicle speed matching optimization method according to claim 1, further comprising:

and pushing the optimal running speed to the front vehicle.

6. The traffic light vehicle speed matching optimization system based on the 5G technology is characterized by comprising a processor, wherein the processor is used for executing traffic light vehicle speed matching optimization program data based on the 5G technology, and the implementation steps comprise:

7. The traffic light vehicle speed matching optimization system according to claim 6, wherein the processor is configured to execute traffic light vehicle speed matching optimization program data based on 5G technology, and the steps further comprise:

8. The traffic light vehicle speed matching optimization system according to claim 6, wherein the processor is configured to execute traffic light vehicle speed matching optimization program data based on a 5G technology, and the implementation steps specifically include:

9. The traffic light vehicle speed matching optimization system according to claim 8, wherein the processor is configured to execute traffic light vehicle speed matching optimization program data based on 5G technology, and the steps further comprise:

detecting a traffic emergency state of the current lane;

if the traffic emergency state is detected, adjusting the optimal running speed in real time;

and pushing the optimal running speed to the front vehicle.

10. A vehicle, characterized in that it is equipped with a traffic light vehicle speed matching optimization system based on 5G technology according to any of claims 6-9.