CN111311943A - Vehicle, vehicle equipment and signal lamp vehicle speed optimization method thereof - Google Patents
Vehicle, vehicle equipment and signal lamp vehicle speed optimization method thereof Download PDFInfo
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- CN111311943A CN111311943A CN201811514314.8A CN201811514314A CN111311943A CN 111311943 A CN111311943 A CN 111311943A CN 201811514314 A CN201811514314 A CN 201811514314A CN 111311943 A CN111311943 A CN 111311943A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/09675—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where a selection from the received information takes place in the vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
Abstract
The vehicle equipment judges whether a next target traffic light exists in a running path, if the next target traffic light exists, a V2X vehicle networking network is adopted to obtain the real-time position of the vehicle, the real-time distance from the vehicle to the target traffic light is calculated according to the real-time position, the 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 the optimal running speed of the vehicle; and prompting the optimal running speed to a user in a vehicle instrument mode. According to the method and the device, the real-time position of the vehicle is accurately/quickly acquired through the internet of vehicles technology, the traffic light state and the road condition information are acquired, the optimal driving speed can be recommended for a driver, and the traffic efficiency is effectively improved.
Description
Technical Field
The application relates to the technical field of vehicle networking, in particular to a vehicle machine device and a signal lamp vehicle speed optimization method thereof, and a vehicle using the vehicle machine device.
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, a vehicle machine device and a signal lamp vehicle speed optimization method thereof through deep research.
Disclosure of Invention
The application aims to provide a vehicle, a vehicle machine device and a signal lamp vehicle speed optimization method thereof, through a vehicle networking technology, the real-time position of the vehicle is accurately/quickly obtained, traffic light state and road condition information are obtained, internal operation is carried out at a real-time distance, and the optimal driving vehicle speed can be recommended to a driver, so that the vehicle can directly pass through a traffic light under the stable and comfortable condition when the vehicle runs at the speed, the traffic light does not need to be waited, or the vehicle stops before running to the traffic light at a constant speed, emergency braking and other conditions are avoided, driving comfort can be effectively improved, consumption and energy consumption of parts of the vehicle are reduced, traffic efficiency can be effectively improved, and popularization and use are facilitated.
In order to solve the technical problem, the present application provides a signal lamp vehicle speed optimization method, wherein the signal lamp vehicle speed optimization method includes:
the vehicle-mounted equipment judges whether a next target traffic light exists in the driving path or not, and if the next target traffic light exists, the real-time position of the vehicle is acquired by adopting a V2X vehicle networking network;
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;
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;
and prompting the optimal running speed to a user in a vehicle instrument mode.
Wherein, after the step of prompting the optimal running speed to the user by means of the vehicle-mounted instrument, the method further comprises the following steps:
displaying the optimal running speed and the real-time state of the target traffic light 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.
Wherein, after the step of prompting the optimal running speed to the user by means of the vehicle-mounted instrument, the method further comprises the following steps:
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 signal lamp vehicle speed optimization method further comprises the following steps:
the vehicle establishes network connection with the front vehicle through a V2X Internet of vehicles network;
and pushing the optimal running speed to the front vehicle.
As one implementation manner, the vehicle-mounted device determines whether a next target traffic light exists in the driving route, and if the next target traffic light exists, the step of acquiring the real-time position of the vehicle by using the V2X internet of vehicles includes:
the vehicle-mounted equipment judges whether a next target traffic light exists in the corresponding running path according to the navigation route of the user;
and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
As one implementation manner, the vehicle-mounted device determines whether a next target traffic light exists in the driving route, and if the next target traffic light exists, the step of acquiring the real-time position of the vehicle by using the V2X internet of vehicles includes:
the vehicle-mounted equipment intelligently identifies the driving path of the user according to the historical driving data of the user;
judging whether a next target traffic light exists according to the running path;
and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
As one embodiment, the step of intelligently identifying the driving path of the user by the vehicle-mounted device according to the historical driving data of the user specifically includes:
the vehicle-mounted equipment acquires a current date, a current time period and/or a current traffic road condition;
and acquiring a driving path commonly used by the user from historical driving data of the user according to the current date, the current time period and/or the current traffic road condition.
In order to solve the technical problem, the present application further provides a vehicle device, where the vehicle device includes a processor, and the processor is configured to execute a computer program of the signal lamp vehicle speed optimization method, and implement any one of the steps of the signal lamp vehicle speed optimization method.
In order to solve the technical problem, the application further provides a vehicle, wherein the vehicle is provided with the vehicle equipment.
The vehicle equipment judges whether a next target traffic light exists in a running path, if the next target traffic light exists, a V2X vehicle networking network is adopted to obtain the real-time position of the vehicle, 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 the optimal running speed of the vehicle; and prompting the optimal running speed to a user in a vehicle instrument mode. 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 diagram illustrating an embodiment of a signal lamp vehicle speed optimization method according to the present application.
Fig. 2 is a schematic block diagram of the car machine device according to the present application.
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 specific embodiments, methods, steps, features and effects of the vehicle, the vehicle-mounted device and the signal lamp speed optimization method thereof according to the present application.
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 signal lamp vehicle speed optimization method according to the present application.
It should be noted that the signal lamp vehicle speed optimization method according to the present embodiment may include, but is not limited to, the following steps.
Step S101, the vehicle equipment judges whether a next target traffic light exists in a driving path, and if the next target traffic light exists, a V2X vehicle networking network is adopted to obtain the real-time position of a vehicle;
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;
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;
and step S105, prompting the optimal running speed to a user in a mode of a vehicle-mounted instrument.
It should be noted that, in the present embodiment, a positioning manner is performed by using a V2X internet of vehicles, which can be accurate to a centimeter level, so as to achieve accurate positioning, judgment and control of vehicles.
In this embodiment, the vehicle speed of the vehicle is optimized according to the real-time distance, the road condition information and the real-time status, so as to calculate the optimal driving speed of the vehicle; after the step of prompting the optimal running speed to the user by means of the vehicle-mounted instrument, the method further comprises the following steps: displaying the optimal running speed and the real-time state of the target traffic light 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, in a road, an emergency may occur, and the vehicle speed of the vehicle is optimized in a matching manner according to the real-time distance, the road condition information and the real-time status, so as to calculate the optimal driving speed of the vehicle; after the step of prompting the optimal running speed to the user by means of the vehicle-mounted instrument, the method further comprises the following steps: 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 driving properly, such as a slow driving or a hurdle, which may easily affect the determination of the embodiment of the present application, and therefore, the signal lamp vehicle speed optimization method according to this embodiment may further include: the vehicle establishes network connection with the front vehicle through a V2X 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 V2X Internet of vehicles network; and pushing the optimal running speed to the rear vehicle.
It should be added that, in this embodiment, the vehicle-mounted device determines whether a next target traffic light exists in the driving route, and if the next target traffic light exists, the step of acquiring the real-time position of the vehicle by using the V2X internet of vehicles may specifically include: the vehicle-mounted equipment judges whether a next target traffic light exists in the corresponding running path according to the navigation route of the user; and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
Meanwhile, it should be noted that, in the embodiment, the step of determining, by the vehicle equipment, whether a next target traffic light exists in the driving route, and if the next target traffic light exists, acquiring the real-time position of the vehicle by using the V2X internet of vehicles network may specifically include: the vehicle-mounted equipment intelligently identifies the driving path of the user according to the historical driving data of the user; judging whether a next target traffic light exists according to the running path; and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
Further, in this embodiment, the step of the in-vehicle device intelligently identifying the driving path of the user according to the historical driving data of the user may specifically include: the vehicle-mounted equipment acquires a current date, a current time period and/or a current traffic road condition; and acquiring a driving path commonly used by the user from historical driving data of the user according to the current date, the current time period and/or the current traffic road condition.
In addition, the embodiment can utilize a 3G network (third generation mobile communication network), a 5G network (fifth generation mobile communication network), a WIFI network and the like to assist in accessing the V2X internet of vehicles network, so as to improve communication efficiency.
The application accesses the V2X vehicle networking technology through 5G, the real-time position of the vehicle can be accurately/quickly acquired, the traffic light state and road condition information can be acquired, internal operation can be carried out at a real-time distance, the optimal driving speed can be recommended for a driver, so that the vehicle can directly pass through the traffic light under the stable and comfortable condition when the vehicle runs at the speed, the traffic light does not need to be waited, or the vehicle stops before running 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 partial vehicle parts are reduced, the traffic efficiency can be effectively improved, and the popularization and the use are facilitated.
Referring to fig. 2, fig. 2 is a schematic block diagram of a vehicle-mounted device according to the present application.
In this embodiment, the in-vehicle device may include a processor 21, where the processor 21 is configured to execute a traffic light vehicle speed matching optimization computer program, and the implementation steps include: when the vehicle drives to a target traffic light, acquiring a real-time position by adopting a V2X Internet of vehicles network; 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; 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; and prompting the optimal running speed to a user in a vehicle instrument mode.
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 a traffic light vehicle speed matching optimization computer program, and the implementation steps may further include: displaying the optimal running speed and the real-time state of the target traffic light 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 a computer program for optimizing vehicle speed matching at a traffic light, 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 a traffic light vehicle speed matching optimization computer program, 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 a computer program for optimizing vehicle speed matching at a traffic light, and the implementation steps may further include: establishing network connection between the vehicle and the front vehicle through a V2X Internet of vehicles network; and pushing the optimal running speed to the front vehicle.
It should be added that, in this embodiment, the vehicle-mounted device determines whether a next target traffic light exists in the driving route, and if the next target traffic light exists, the step of acquiring the real-time position of the vehicle by using the V2X internet of vehicles may specifically include: the vehicle-mounted equipment judges whether a next target traffic light exists in the corresponding running path according to the navigation route of the user; and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
Meanwhile, it should be noted that, in the embodiment, the step of determining, by the vehicle equipment, whether a next target traffic light exists in the driving route, and if the next target traffic light exists, acquiring the real-time position of the vehicle by using the V2X internet of vehicles network may specifically include: the vehicle-mounted equipment intelligently identifies the driving path of the user according to the historical driving data of the user; judging whether a next target traffic light exists according to the running path; and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
Further, in this embodiment, the step of the in-vehicle device intelligently identifying the driving path of the user according to the historical driving data of the user may specifically include: the vehicle-mounted equipment acquires a current date, a current time period and/or a current traffic road condition; and acquiring a driving path commonly used by the user from historical driving data of the user according to the current date, the current time period and/or the current traffic road condition.
In addition, the embodiment can utilize a 3G network, a 5G network, a WIFI network and the like to assist in accessing the V2X Internet of vehicles network, so as to improve the communication efficiency.
It should be noted that, this application may also provide a vehicle, where the vehicle is equipped with the in-vehicle equipment described above.
The method and the device have the advantages that the vehicle networking technology is adopted, the real-time position of the vehicle is accurately/quickly acquired, the traffic light state and road condition information is acquired, the internal operation is carried out at a real-time distance, the optimal driving vehicle speed can be recommended to a driver, the vehicle can directly pass through the traffic light under the stable and comfortable condition when driving at the vehicle speed, the traffic light does not need to be waited, or the vehicle stops before driving at the constant speed to the traffic light, the emergency brake and other conditions are avoided, the driving comfort can be effectively improved, the consumption and the energy consumption of partial vehicle parts are reduced, the traffic efficiency can be effectively improved, and the popularization and the use are facilitated.
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 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 technology V2X car networking network, 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 access the V2X car networking network by means of an ethernet link to implement 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 V2X 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 V2X vehicle networking network specifically comprises a vehicle body control module BCM, a power bus P-CAN, a vehicle body bus I-CAN, a combination instrument 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 V2X car networking network of the vehicle of the embodiment may use two CAN buses, i.e., a power bus P-CAN and a car body bus I-CAN, and use the car body control module BCM as a gateway, and a structure that the combination meter CMIC is connected to both the power bus P-CAN and the car body bus I-CAN, so that an operation that information of the chassis control device or the 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 conventional manner CAN be omitted, thereby reducing the pressure of the car body control module BCM as a gateway, reducing network load, and more conveniently sending information of vehicle-mounted devices hung on the plurality of buses, e.g., the power bus P-CAN and the car body bus I-CAN, to the combination meter CMIC for display and with strong information transmission real-time.
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 (10)
1. A signal lamp vehicle speed optimization method is characterized by comprising the following steps:
the vehicle-mounted equipment judges whether a next target traffic light exists in the driving path or not, and if the next target traffic light exists, the real-time position of the vehicle is acquired by adopting a V2X vehicle networking network;
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;
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;
and prompting the optimal running speed to a user in a vehicle instrument mode.
2. The signal lamp vehicle speed optimization method of claim 1, wherein after the step of prompting the optimal travel speed to the user by way of an on-board meter, further comprising:
displaying the optimal running speed and the real-time state of the target traffic light 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.
3. The signal lamp vehicle speed optimization method according to claim 1, wherein the step of monitoring the road condition information between the real-time location and the target traffic light and the real-time status of the target traffic light specifically comprises:
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.
4. The signal lamp vehicle speed optimization method of claim 3, wherein after the step of prompting the optimal travel speed to the user by way of an on-board meter, further comprising:
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.
5. The signal light vehicle speed optimization method according to claim 1, further comprising:
the vehicle establishes network connection with the front vehicle through a V2X Internet of vehicles network;
and pushing the optimal running speed to the front vehicle.
6. The signal lamp vehicle speed optimization method according to claim 1, wherein the vehicle-mounted device determines whether a next target traffic light exists in the driving route, and if the next target traffic light exists, the step of acquiring the real-time position of the vehicle by using a V2X internet of vehicles network includes:
the vehicle-mounted equipment judges whether a next target traffic light exists in the corresponding running path according to the navigation route of the user;
and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
7. The signal lamp vehicle speed optimization method according to claim 1, wherein the vehicle-mounted device determines whether a next target traffic light exists in the driving route, and if the next target traffic light exists, the step of acquiring the real-time position of the vehicle by using a V2X internet of vehicles network includes:
the vehicle-mounted equipment intelligently identifies the driving path of the user according to the historical driving data of the user;
judging whether a next target traffic light exists according to the running path;
and if the target traffic light exists, acquiring the real-time position of the vehicle by adopting the V2X Internet of vehicles.
8. The signal lamp vehicle speed optimization method according to claim 7, wherein the step of intelligently recognizing the driving path of the user by the vehicle-mounted device according to historical driving data of the user specifically comprises:
the vehicle-mounted equipment acquires a current date, a current time period and/or a current traffic road condition;
and acquiring a driving path commonly used by the user from historical driving data of the user according to the current date, the current time period and/or the current traffic road condition.
9. A vehicle machine apparatus characterized by comprising a processor for executing a traffic light vehicle speed matching optimization computer program implementing the steps of the signal light vehicle speed optimization method according to any one of claims 1 to 8.
10. A vehicle, characterized in that it is equipped with the in-vehicle machine apparatus as claimed in claim 9.
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| CN201811514314.8A CN111311943A (en) | 2018-12-11 | 2018-12-11 | Vehicle, vehicle equipment and signal lamp vehicle speed optimization method thereof |
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Address after: Room 208, building 4, 1411 Yecheng Road, Jiading District, Shanghai, 201821 Applicant after: Botai vehicle networking technology (Shanghai) Co.,Ltd. Address before: Room 208, building 4, 1411 Yecheng Road, Jiading District, Shanghai, 201821 Applicant before: SHANGHAI PATEO ELECTRONIC EQUIPMENT MANUFACTURING Co.,Ltd. |
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