CN110793537A

CN110793537A - Navigation path recommendation method, vehicle machine and vehicle

Info

Publication number: CN110793537A
Application number: CN201910951024.8A
Authority: CN
Inventors: 应宜伦
Original assignee: Shanghai Pateo Network Technology Service Co Ltd
Current assignee: Shanghai Pateo Network Technology Service Co Ltd
Priority date: 2019-10-08
Filing date: 2019-10-08
Publication date: 2020-02-14

Abstract

The application provides a navigation path recommendation method, a vehicle machine and a vehicle, wherein the navigation path recommendation method is applied to a vehicle-mounted terminal or a mobile terminal and comprises the following steps: acquiring identity information of a user; acquiring data information of a user according to the identity information; scoring the driving technique of the user according to the data information; and when the score of the user is lower than a preset value, preferentially recommending an easy-to-run route when planning the running path of the user. According to the method and the device, the identity information of the driving user is obtained, the data information of the user is called, the driving technology of the user is scored according to the data information, and if the score of the user is lower than a preset value, an easy-to-drive route is recommended for the user when a navigation path is planned for the user, the driving safety of the user is ensured, and the driving experience of the user is improved.

Description

Navigation path recommendation method, vehicle machine and vehicle

Technical Field

The application relates to the technical field of vehicle navigation, in particular to a navigation path recommendation method, a vehicle machine and a vehicle applying the navigation path recommendation method.

Background

In recent years, the domestic automobile industry is rapidly developed, the popularization degree of automobiles is higher and higher, the domestic automobile sales volume reaches 2887.9 thousands in 2017, the innovation history is high, and the world is the first in 9 continuous years. Similarly, with the development of economy, more and more people in China buy the automobile to drive on the road after obtaining the driving license.

The economy flies, the automobile is popularized, the road construction of China is also the four-way and eight-way, the Roman of the large road with the stripes is really achieved, and accordingly, the map navigation technology is more and more powerful, and driving travel navigation is an essential tool such as voice navigation, real-scene navigation, real-time road condition tracking and the like. However, most of the existing navigation technologies only consider external factors such as real-time road condition information and distance of a route, and drivers are rarely considered, so that roads of a recommended navigation path exceed the driving level of some drivers, the driving process of the users is unsafe, and the traveling experience of the users is poor.

Therefore, in order to solve the above problems, the inventors of the present application have conducted analytical studies to provide a navigation path recommendation method, a vehicle machine, and a vehicle.

Disclosure of Invention

In view of the above, the present invention provides a navigation path recommendation method, a vehicle machine, and a vehicle, where the navigation path recommendation method is applied to a vehicle-mounted terminal or a mobile terminal, and by acquiring identity information of a driving user, further retrieving data information of the user, and scoring a driving technology of the user according to the data information, if the score of the user is lower than a preset value, when a navigation path is planned for the user, an easy-to-travel route is recommended for the user, so as to ensure driving safety of the user, and improve vehicle use experience of the user.

In order to achieve the above technical effects, the present application provides a navigation path recommendation method, which is an implementation manner of the navigation path recommendation method, and the navigation path recommendation method includes the steps of: acquiring identity information of a user; acquiring data information of the user according to the identity information; scoring the driving technique of the user according to the data information; and when the score of the user is lower than a preset value, preferentially recommending an easy-to-run route when planning the running path of the user.

As one of the embodiments, the data information includes historical driving behavior data and/or driver license information.

As one of the embodiments, the historical driving behavior data includes at least one of sudden braking, sudden turning, sudden acceleration, lane keeping behavior data, vehicle distance keeping behavior data, and vehicle speed keeping behavior data.

As one embodiment, the step of acquiring the identity information of the user includes: and acquiring the biological characteristic information of the user, and uploading the biological characteristic information to a server for comparison so as to acquire the identity information of the user.

As one implementation mode, the navigation path recommendation method is applied to a vehicle-mounted terminal; the step of obtaining the identity information of the user comprises the following steps: when a mobile terminal connected with the vehicle-mounted terminal is detected, acquiring identification information of the mobile terminal, wherein the identification information comprises an IMEI code of the mobile terminal, a mobile phone number used by the mobile terminal or account information of navigation software on the mobile terminal.

As an embodiment, the method further comprises: and when the vehicle runs, acquiring the data information in real time, so that the server updates the data information and deletes the data information beyond the preset number of days.

In one embodiment, the easy-to-travel route includes a route with the highest score after scoring according to at least one of the number of traveling vehicles, the width of a road surface, the easy recognition degree, and the number of times the user travels.

When the data information comprises historical driving behavior data and driver license information at the same time, respectively grading according to the historical driving behavior data and the driver license information; and when the point value obtained according to the historical driving behavior data is different from the point value obtained according to the driver license information, taking the point value obtained according to the historical driving behavior data as the final point.

In order to solve the technical problem, the present application further provides a car machine, as one embodiment, the car machine includes a processor and a memory, where the memory stores at least one program instruction, and the processor loads and executes the at least one program instruction to implement the navigation path recommendation method.

In order to solve the technical problem, the application further provides a vehicle, and the vehicle is provided with the vehicle machine.

According to the navigation path recommendation method, the vehicle machine and the vehicle, the data information of the user is called by acquiring the identity information of the driving user, the driving technology of the user is graded according to the data information, if the grade of the user is lower than a preset value, an easy-to-run route is recommended for the user when the navigation path is planned for the user, the driving safety of the user is ensured through the method, and the vehicle using experience of the user is improved.

Drawings

Fig. 1 is a flowchart illustrating a navigation path recommendation method according to an embodiment of the present application.

Fig. 2 is a schematic diagram of a vehicle machine according to the present application.

Detailed Description

To further clarify the technical measures and effects adopted by the present application to achieve the intended purpose, the following detailed description of the embodiments, methods, steps, features and effects of the present application will be made with reference to the accompanying drawings and preferred embodiments.

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 flowchart illustrating a navigation path recommendation method according to an embodiment of the present application.

It should be noted that the navigation path recommendation method according to this embodiment may include, but is not limited to, the following steps:

step S1: and acquiring the identity information of the user.

The user refers to the current driver, and the identity information refers to information uniquely corresponding to the current driver, and may be biological features of the current driver, such as facial features, voiceprint features, pupils, fingerprints, and the like. Of course, the unique identification information of the mobile terminal of the current driver may be used.

Therefore, in one embodiment, the step S1 obtains the identity information of the user, including: and acquiring the biological characteristic information of the user, uploading the biological characteristic information to the server for comparison, and acquiring the identity information of the user.

It is worth mentioning that, more and more car machines of automobiles have the projection function of the mobile terminal, and can project the map navigation interface on the mobile terminal to the car machine for navigation, and certainly can also navigate directly through the mobile terminal, but the signal receiving capability of the GPS positioning system equipped in the car machine is usually greater than that of the mobile terminal.

Therefore, in another embodiment, the navigation path recommendation method is applied to a vehicle-mounted terminal, i.e. a vehicle, and the step S1 obtains the identity information of the user, including: when the mobile terminal connected with the vehicle-mounted terminal is detected, acquiring identification information of the mobile terminal, wherein the identification information comprises an IMEI code of the mobile terminal, a mobile phone number used by the mobile terminal, account information of navigation software on the mobile terminal and a Bluetooth address of the mobile terminal.

It should be noted that, at present, mobile terminals have increasingly powerful functions, such as fingerprint recognition, pupil recognition, face recognition and language recognition, so that when acquiring identity information of a user, biological features of the user can be acquired from a mobile terminal connected to a vehicle-mounted terminal, which can reduce the configuration requirements on vehicles.

Step S2: and acquiring the data information of the user according to the identity information.

The data information of the user, such as historical driving behavior data and/or driver license information of the current user, is stored in the cloud server, the cloud server associates the data information of the user with identity information of the user, and the cloud server updates the historical driving behavior data in real time, so that the driving technology of the current user can be accurately judged.

Thus, in an embodiment, the data information comprises historical driving behavior data and/or driver license information.

It is worth mentioning that the historical driving behavior data not only includes various state parameters of the vehicle of the current user in the driving process, but also includes violation records, and even historical driving environment based on the internet of vehicles records. As in one embodiment, the historical driving behavior data includes at least one of hard braking, hard turning, hard acceleration, lane keeping behavior data, vehicle distance keeping behavior data, and vehicle speed keeping behavior data.

The ADAS system can detect the self state and the surrounding environment of the vehicle in the driving process of the vehicle by using various sensors installed on the vehicle, collect and process data, and identify, detect and track objects. The existing ADAS system mainly comprises an electronic stability system ESC of a vehicle body, a self-adaptive cruise system ACC, a lane deviation alarm system LDW, a lane keeping system LKA, a forward collision early warning system FCW, an automatic emergency braking system AEB and the like, and certainly, historical driving behavior data in the application can be collected through the internet of things function of the vehicle network. Judging logic of driving behaviors, namely, when the vehicle-mounted device detects that the speed of the vehicle is rapidly increased in a short time through information acquired by a GPS module and a gyroscope, and the absolute value of acceleration is larger than a set value, the vehicle-mounted device is subjected to rapid acceleration; the speed of the vehicle is rapidly reduced in a short time, and when the absolute value of the acceleration is larger than a set value, sudden braking is performed; when the speed of the vehicle is higher, the vehicle suddenly deviates from the original route and the driving direction changes, so that the vehicle is in a sharp turn; the vehicle frequently changes in a short time or greatly changes the driving route, and the driving direction changes, so that the driving behavior is an irregular lane keeping behavior; for the judgment of the vehicle speed keeping behavior, the current acceleration of the vehicle can be obtained according to the video image, and then whether the current driving behavior of the user is the vehicle speed keeping behavior is determined by judging whether the acceleration is smaller than the preset acceleration. If the current acceleration is smaller than the preset acceleration, it indicates that the speed of the current vehicle is relatively stable, or the acceleration or deceleration is relatively mild, and it can be considered that the driving behavior of the current user is the speed keeping behavior.

It should be noted that, in the data information, the driver license information includes the time of obtaining the driver license and the history violation records associated with the driver license, and the history violation records may be classified, such as running a red light, not wearing a safety belt, speeding, etc., and different conclusions may be sometimes drawn when the driving level of the driver is determined according to different violation records, for example, speeding, and drivers with higher driving levels may be speeding more, because classification determination may be performed according to the vehicle networking augmentation data analysis.

In one embodiment, the present application further comprises: when the vehicle runs, the data information is collected in real time so that the server updates the data information, and the data information beyond the preset number of days is deleted.

Wherein, the premise of the data information beyond the preset number of days is that when the current user is driving normally, for example, the user king drives a vehicle in 3/1 th, the vehicle collects the driving data, the vehicle is not used in 3/2 th, the data is blank, the vehicle is driven in 3/3 rd, the vehicle collects the driving data, the vehicle is not used in 3/4 th, the data is blank, the vehicle is driven in 3/5 th, the driving data is collected, when the data information beyond the preset number of days is deleted, if the preset number of days is 2 days, the valid data during normal driving is 3/1/3/5/three days, when the data information beyond the preset number of days is driven in 3/6 th, the server deletes the data beyond the preset number of days, the reserved data are 3/5/3 th, and the actually preset number of days is necessarily periodic, such as greater than 30 days.

Step S3: and scoring the driving technique of the user according to the data information.

The driving technology of the user is graded according to the data information, the data information can be classified, the data information is processed according to a preset driving technology grading system, and then a score is obtained, specifically, data which are positively correlated and negatively correlated with the score are obtained through classification of the data information, and grading is carried out according to the maintenance time or times of corresponding driving behaviors.

In one embodiment, the step S3 of scoring the driving technique of the user according to the data information includes: when the data information simultaneously comprises historical driving behavior data and driving license information, grading is carried out according to the historical driving behavior data and the driving license information respectively; and when the point value obtained according to the historical driving behavior data is different from the point value obtained according to the driving license information, taking the point value obtained according to the historical driving behavior data as the final point. It should be noted that, in reality, there is a case where the vehicle is not driven for a long time after the driver's license is obtained, and at this time, the score value obtained by scoring the driver's license may not be in accordance with the actual driving technique of the user, and the score of the historical driving behavior data should be taken as the criterion.

In one embodiment, the step S3 includes, after scoring the driving skill of the user according to the data information: displaying a score value for scoring the driving technique of the user according to the data information; and when receiving the score value modification instruction, generating a modified score value and deleting the historical driving behavior data of the user.

The method comprises the steps that the scoring values obtained by scoring the driving technologies of the users according to data information correspond to different driving technologies, if the scoring values are divided into reference values by 100, novice drivers below 60, general drivers 60-80 and skilled drivers 80-100, after the scoring values are displayed, if the scoring values obtained by scoring the driving technologies of the users according to the data information are not approved, the scoring values can be modified, and after the cloud server receives the modification, the modified scoring values are generated and historical driving behavior data of the users are deleted.

Step S4: and when the score of the user is lower than a preset value, preferentially recommending an easy-to-run route when planning the running path of the user.

The preset value can be divided into 3 critical values, such as 60 and 80, when a route is recommended according to the score values of the users, and when various planned routes exist, if the score values of the users are lower than 60, a novice driver can preferentially recommend the easy-to-run route during navigation route planning. In one embodiment, the easy-to-travel route includes a route having a highest score, which is scored according to at least one of the number of traveling vehicles, a road surface width, an easy recognition degree, or a number of times a user travels.

According to the navigation path recommendation method provided by the embodiment, the data information of the user is called by acquiring the identity information of the driving user, the driving technology of the user is scored according to the data information, if the score of the user is lower than a preset value, an easy-to-run route is recommended for the user when the navigation path is planned for the user, the driving safety of the user is ensured through the method, and the driving experience of the user is improved.

Referring to fig. 2, the present application further provides a car machine, as an implementation manner, the car machine includes a memory 20 and a processor 21, where the memory 20 stores at least one program instruction, and the processor 21 loads and executes the at least one program instruction to implement the navigation path recommendation method.

In one embodiment, the vehicle machine is provided with a vehicle machine communication module, and the vehicle machine communication module supports a CAN bus, a 3G network, a 4G network, a 5G network, a WIFI network and/or Bluetooth.

The car machine provided by the embodiment calls the data information of the user by acquiring the identity information of the driving user, scores the driving technology of the user according to the data information, and recommends an easy-to-drive route for the user when planning the navigation path for the user if the score of the user is lower than a preset value.

With continuing reference to fig. 2 and the embodiments thereof, the present application further provides a vehicle, which is configured with the vehicle machine as above as one of the embodiments.

It should be noted that, in the present embodiment, both the vehicle and the vehicle may employ a WIFI technology or a 5G technology, for example, a 5G internet of vehicles network is used to implement network connection between the vehicles and the vehicle, the 5G technology employed in the present embodiment may be a technology oriented to scenization, the application utilizes the 5G technology to play a key support role for the vehicle, and it implements connection of people, objects or vehicles at the same time, and may specifically employ 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 present application may also be applied to cooperation of automatic driving, such as vehicle formation and the like.

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. For example, in the case of high-speed driving, when the rear passenger has abnormal behavior, the normal driving of the vehicle can be ensured through automatic driving intervention. 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.

In the present application, the navigation path recommendation method CAN be applied to a vehicle system having a vehicle equipment or a vehicle TBOX, and CAN be connected to a CAN bus of the vehicle.

In one embodiment, the CAN bus 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 powertrain 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, where the high-level management system includes a human-vehicle-road simulation system and a comprehensive information collection unit 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: an engine ECU (electronic Control Unit), a motor MCU, a BATTERY BMS (BATTERY management system), an automatic Transmission TCU (Transmission Control Unit), and a hybrid processor HCU (hybrid vehicle Control Unit); 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: an electric dynamometer processor.

The speed of the preferable 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 one embodiment, the vehicle networking gateway may 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 one 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, in the vehicle TBOX system, Telematics BOX in 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 convenience of customers know traffic information, the parking stall condition that closes on the parking area, confirms current position, can also be connected with the network server at home, in time knows the electrical apparatus running condition at home, the safety condition and guest condition of visiting and richen back row passenger's time of riding and so on.

In one embodiment, the vehicle may further be provided with an Advanced Driver Assistance System (ADAS), which may collect environmental data inside and outside the vehicle at the first time by using the various sensors mounted on the vehicle, and perform technical processes such as identification, detection, and tracking of static and dynamic objects, so that a Driver can detect a possible danger at the fastest time to attract attention and improve 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 car networking system 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 one embodiment, the network connection for the vehicle networking system may be a switch, which may have AVB functionality (Audio Video brightening, meeting the IEEE802.1 set of standards), and/or may include one or more unshielded twisted pair wires, each of which may have an 8P8C module connector.

In a preferred embodiment, the vehicle networking system 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., the power bus P-CAN and the body bus I-CAN, for example, if a processor connected to the power bus needs to communicate with a processor connected to the body bus I-CAN, the body control module BCM may perform signal conversion, message forwarding, and the like between the two processors.

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 processor information that is attached to 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 vehicle body control device CAN respectively broadcast data such as information to the power bus P-CAN and the vehicle body bus I-CAN, so that other vehicle-mounted processors and other devices hung on the power bus P-CAN or the vehicle body bus I-CAN CAN acquire the broadcast information, and communication between the vehicle-mounted devices such as different processors is realized.

In addition, in the car networking system of the vehicle of the embodiment, two CAN buses, namely a power bus P-CAN and a car body bus I-CAN, CAN be used, the car body control module BCM is used as a gateway, and the structure that the combination instrument CMIC is connected with both the power bus P-CAN and the car body bus I-CAN is adopted, so that the operation that information of a chassis control device or a car body control device is forwarded to the combination instrument CMIC through the gateway when the combination instrument CMIC is hung on one of the two buses in the traditional mode CAN be omitted, therefore, the pressure of the car body control module BCM as the gateway is relieved, the network load is reduced, and 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, CAN be sent to the combination instrument CMIC for display and the information transmission is strong in real-time.

According to the vehicle provided by the embodiment, the data information of the user is called by acquiring the identity information of the driving user, the driving technology of the user is scored according to the data information, if the score of the user is lower than a preset value, an easy-to-drive route is recommended for the user when a navigation path is planned for the user, the driving safety of the user is ensured through the method, and the driving experience of the user is improved.

The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention. The various features described in the foregoing detailed description may be combined in any suitable manner without departing from the scope of the invention. The invention is not described in detail in order to avoid unnecessary repetition.

Claims

1. A navigation path recommendation method is applied to a vehicle-mounted terminal or a mobile terminal, and comprises the following steps:

acquiring identity information of a user;

acquiring data information of the user according to the identity information;

scoring the driving technique of the user according to the data information;

and when the score of the user is lower than a preset value, preferentially recommending an easy-to-run route when planning the running path of the user.

2. The navigation path recommendation method according to claim 1, wherein the data information comprises historical driving behavior data and/or driver license information.

3. The navigation path recommendation method of claim 2, wherein the historical driving behavior data includes at least one of hard braking, hard turning, hard acceleration, lane keeping behavior data, vehicle distance keeping behavior data, and vehicle speed keeping behavior data.

4. The navigation path recommendation method of claim 1, wherein the step of obtaining the identity information of the user comprises:

and acquiring the biological characteristic information of the user, and uploading the biological characteristic information to a server for comparison so as to acquire the identity information of the user.

5. The navigation path recommendation method according to claim 1, wherein the navigation path recommendation method is applied to a vehicle-mounted terminal;

the step of obtaining the identity information of the user comprises the following steps:

when a mobile terminal connected with the vehicle-mounted terminal is detected, acquiring identification information of the mobile terminal, wherein the identification information comprises an IMEI code of the mobile terminal, a mobile phone number used by the mobile terminal or account information of navigation software on the mobile terminal.

6. The navigation path recommendation method according to claim 1, further comprising: and when the vehicle runs, acquiring the data information in real time, so that the server updates the data information and deletes the data information beyond the preset number of days.

7. The navigation path recommendation method according to claim 1, wherein the easy-to-travel route includes a route having a highest score after being scored according to at least one of the number of traveling vehicles, a road surface width, an easy recognition degree, or the number of times the user travels.

8. The navigation path recommendation method according to claim 1, wherein the step of scoring the driving technique of the user according to the data information comprises:

when the data information simultaneously comprises historical driving behavior data and driving license information, scoring is carried out according to the historical driving behavior data and the driving license information respectively;

and when the point value obtained according to the historical driving behavior data is different from the point value obtained according to the driver license information, taking the point value obtained according to the historical driving behavior data as the final point.

9. A vehicle machine, characterized in that the vehicle machine comprises a processor and a memory, the memory stores at least one program instruction, and the processor implements the navigation path recommendation method according to any one of claims 1 to 8 by loading and executing the at least one program instruction.

10. A vehicle, characterized in that the vehicle is provided with the vehicle machine according to claim 9.