CN110765344A - Personalized driving service method and system and vehicle-mounted terminal - Google Patents
Personalized driving service method and system and vehicle-mounted terminal Download PDFInfo
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Abstract
The invention provides a personalized driving service method, a personalized driving service system and a vehicle-mounted terminal, which comprise the following steps: acquiring historical driving data and personalized feature data of a user based on a cloud server; recommending a navigation path, recommending a parking place, providing a driving reminder and/or providing a refueling and charging suggestion based on the historical driving data and the personalized feature data. The personalized driving service method and system and the vehicle-mounted terminal can provide personalized driving service based on the historical data and the personalized data of the user, meet different requirements of different users and greatly improve user experience.
Description
Technical Field
The invention relates to the technical field of data communication, in particular to a personalized driving service method and system and a vehicle-mounted terminal.
Background
An Electronic map (digital map) is a map that is digitally stored and referred to using computer technology. The method for storing information in electronic map generally uses vector image storage, and the map scale can be enlarged, reduced or rotated without affecting the display effect.
The vehicle-mounted navigation equipment performs positioning and navigation by utilizing a vehicle-mounted GPS (global positioning system) to be matched with an electronic map, can know the exact position of a vehicle at any time and any place when the vehicle is driven, and can conveniently and accurately tell a driver the shortest or fastest path to a destination. Currently, in-vehicle navigation apparatuses have been widely used in vehicles.
However, the conventional vehicle-mounted navigation device can only provide a general path navigation service according to a preset principle, and cannot provide functions such as exclusive information recommendation and information prompt according to the personalized requirements of the user, so that the function is single, and the requirements of the user cannot be met.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide a personalized driving service method and system, and a vehicle-mounted terminal, which can provide personalized driving service based on historical data and personalized data of a user, meet different requirements of different users, and greatly improve user experience.
In order to achieve the above objects and other related objects, the present invention provides a personalized driving service method, comprising the steps of: acquiring historical driving data and personalized feature data of a user based on a cloud server; recommending a navigation path, recommending a parking place, providing a driving reminder and/or providing a refueling and charging suggestion based on the historical driving data and the personalized feature data.
In one embodiment of the invention, when the driving reminding is provided, the historical driving data comprises historical violation deduction information, and the violation deduction event reminding matched with the historical violation deduction information is provided.
In an embodiment of the present invention, when the driving reminder is provided, the historical driving data includes historical accident information, and when the current driving data is consistent with the driving data of the historical accident information, the accident reminder matched with the historical accident information is provided.
In an embodiment of the present invention, when the navigation path is recommended, the navigation path adapted to the vehicle condition information is recommended.
In an embodiment of the present invention, when providing a fueling-charging recommendation, the personalized feature data includes a schedule of the user, and if the schedule allows, the personalized feature data sends a fueling-charging recommendation to the user, and after receiving a user permission, navigates to a gas station or a charging station of the approach.
In an embodiment of the present invention, the personalized feature data includes one or more combinations of parking habits of the user, living habits of the user, payment habits of the user, consumption levels of the user, and user schedules.
In an embodiment of the present invention, when recommending a parking lot, any one of the following methods is adopted:
recommending parking lots matched with the parking habits of the users according to the parking habits of the users;
recommending parking lots matched with the living habits of the users according to the living habits of the users;
recommending parking lots matched with the payment habits and the consumption levels of the users according to the payment habits and the consumption levels of the users;
recommending parking spaces matched with the user schedule according to the user schedule and the parking lot environment;
recommending a parking lot with the minimum correlation degree with the events around the parking lot according to the user schedule and the events around the parking lot;
and recommending the parking lot matched with the current event of the user according to the schedule of the user and the time consumption of the current event of the user.
Correspondingly, the invention provides a personalized driving service system, which comprises an acquisition module and a service module, wherein the acquisition module is used for acquiring a driving service;
the acquisition module is used for acquiring historical driving data and personalized feature data of a user based on a cloud server;
the service module is used for recommending a navigation path, recommending a parking place, providing a driving prompt and/or providing a refueling and charging suggestion based on the historical driving data and the personalized feature data.
The present invention provides a vehicle-mounted terminal, including: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory so as to enable the vehicle-mounted terminal to execute the personalized driving service method.
Finally, the invention provides an individualized driving service system, which comprises the vehicle-mounted terminal and a cloud server;
the cloud server is used for sending historical driving data and personalized feature data of the user to the vehicle-mounted terminal.
As described above, the personalized driving service method, the personalized driving service system and the vehicle-mounted terminal of the invention have the following beneficial effects:
(1) personalized driving service can be provided based on historical data and personalized data of users, and different requirements of different users are met;
(2) the system does not need manual operation of a user, can automatically provide functions of information recommendation, information prompt and the like, and greatly improves user experience.
Drawings
FIG. 1 is a flow chart illustrating a method for personalized driving service according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a personalized driving service system according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a vehicle-mounted terminal according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a personalized driving service system according to another embodiment of the invention.
Description of the element reference numerals
21 acquisition module
22 service module
31 processor
32 memory
41 vehicle-mounted terminal
42 cloud server
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The personalized driving service method and system and the vehicle-mounted terminal can provide personalized driving service based on the historical data and the personalized data of the user, meet different requirements of different users and greatly improve user experience.
As shown in fig. 1, in an embodiment, the personalized driving service method of the present invention includes the following steps:
and step S1, acquiring historical driving data and personalized feature data of the user based on the cloud server.
Specifically, historical driving data and personalized feature data of the user are stored in the cloud server. The vehicle-mounted terminal acquires historical driving data and personalized feature data of the user from the cloud server so as to realize personalized driving service for the user.
And step S2, recommending a navigation path, recommending a parking place, providing a driving reminder and/or providing a refueling charging suggestion based on the historical driving data and the personalized feature data.
Specifically, the historical driving data comprises one or a combination of historical violation deduction information and historical accident information; the personalized feature data comprises one or more combinations of user parking habits, user living habits, user payment habits, user consumption levels and user schedules. Therefore, personalized services in different aspects are provided for the user according to different historical driving data and personalized feature data.
In an embodiment of the invention, when the historical driving data comprises historical violation deduction information, violation deduction event reminding matched with the historical violation deduction information is provided. For example, when the historical violation deduction information is overhead speeding, when the user again drives to the overhead, a prompt of 'do not overspeed driving' is sent; when the historical violation deduction information is that the user runs the red light, sending a prompt of 'no running the red light' when the user passes the traffic light again; and when the historical violation deduction information is that the accumulated deduction reaches a preset value, sending a corresponding warning of compliance with the traffic regulations at the position where violation easily occurs.
In an embodiment of the present invention, when the historical driving data includes historical accident information, and when the current driving data is consistent with the driving data of the historical accident information, an accident prompt matching with the historical accident information is provided. For example, if the historical accident information indicates that a vehicle collision occurs in a rainy day, a reminder of "keeping the distance between vehicles and driving with caution" is sent when the current driving data indicates that the vehicle is driven in the rainy day.
In an embodiment of the present invention, when the navigation path is recommended, the navigation path adapted to the vehicle condition information is recommended. For example, when a vehicle right turn light fails, a navigation path that travels less right turns is recommended; when the tire pressure of the vehicle is insufficient, low-speed road sections such as ground roads and the like are recommended to be used as navigation paths, so that the safe driving of the vehicle is guaranteed.
In an embodiment of the present invention, when providing a fueling-charging recommendation, the personalized feature data includes a schedule of the user, and if the schedule allows, the personalized feature data sends a fueling-charging recommendation to the user, and after receiving a user permission, navigates to a gas station or a charging station of the approach. For example, when the user drives to the next schedule and the current oil quantity or the current electric quantity of the vehicle is low, namely lower than a preset threshold value, if a surplus event is judged to exist from the next schedule, the user is recommended to add oil or charge. After the user confirms, the approach gas station or charging station is provided to the user, and the user selects the gas station or charging station.
In an embodiment of the present invention, when recommending a parking lot, any one of the following methods may be adopted according to the specific content of the personalized feature data:
A) and recommending parking lots matched with the parking habits of the users according to the parking habits of the users. For example, when the user's parking habit is to park on a wall, a parking lot with an edge parking space is recommended.
B) And recommending the parking lot matched with the living habits of the user according to the living habits of the user. For example, when the user's lifestyle is sports and the user goes to a place such as a park, a parking lot with a certain walking distance from the place such as the park is recommended.
C) And recommending the parking lot matched with the user payment habit and the user consumption level according to the user payment habit and the user consumption level. For example, when the user has a high consumption level and likes mobile payment, a parking lot which can be paid by a mobile phone and has good hardware conditions is recommended; when the user consumption level is general and cash payment is favored, a cash-payable preferential or free parking lot is recommended.
D) And recommending parking spaces matched with the user schedule according to the user schedule and the parking lot environment. For example, when the user needs to attend the next itinerary as soon as possible, the parking space closest to the location of the itinerary, such as the parking space near the elevator, is recommended.
E) And recommending the parking lot with the minimum correlation degree with the parking lot peripheral events according to the user schedule and the parking lot peripheral events. For example, when a large-scale event such as a concert and a performance exists around the parking lot and the time of the large-scale event is close to the next day of the user, the parking lot far away from the large-scale event is selected, so that the interference of the large stream of people on the parking trip of the user is avoided.
F) And recommending the parking lot matched with the current event of the user according to the schedule of the user and the time consumption of the current event of the user. For example, when the user currently needs to stop for a certain time, a roadside parking lot near the parking spot is recommended.
As shown in fig. 2, in an embodiment, the personalized driving service system of the present invention includes an obtaining module 21 and a service module 22.
The obtaining module 21 is configured to obtain historical driving data and personalized feature data of the user based on the cloud server.
Specifically, historical driving data and personalized feature data of the user are stored in the cloud server. The vehicle-mounted terminal acquires historical driving data and personalized feature data of the user from the cloud server so as to realize personalized driving service for the user.
The service module 22 is connected to the obtaining module 21, and is configured to recommend a navigation path, recommend a parking place, provide a driving prompt, and/or provide a fueling and charging suggestion based on the historical driving data and the personalized feature data.
Specifically, the historical driving data comprises one or a combination of historical violation deduction information and historical accident information; the personalized feature data comprises one or more combinations of user parking habits, user living habits, user payment habits, user consumption levels and user schedules. Therefore, personalized services in different aspects are provided for the user according to different historical driving data and personalized feature data.
In an embodiment of the invention, when the historical driving data comprises historical violation deduction information, violation deduction event reminding matched with the historical violation deduction information is provided. For example, when the historical violation deduction information is overhead speeding, when the user again drives to the overhead, a prompt of 'do not overspeed driving' is sent; when the historical violation deduction information is that the user runs the red light, sending a prompt of 'no running the red light' when the user passes the traffic light again; and when the historical violation deduction information is that the accumulated deduction reaches a preset value, sending a corresponding warning of compliance with the traffic regulations at the position where violation easily occurs.
In an embodiment of the present invention, when the historical driving data includes historical accident information, and when the current driving data is consistent with the driving data of the historical accident information, the service module 22 provides an accident prompt matching with the historical accident information. For example, if the historical accident information indicates that a vehicle collision occurs in a rainy day, a reminder of "keeping the distance between vehicles and driving with caution" is sent when the current driving data indicates that the vehicle is driven in the rainy day.
In an embodiment of the present invention, when the navigation path is recommended, the navigation path adapted to the vehicle condition information is recommended. For example, when the vehicle right turn light fails, the service module 22 recommends a navigation path that travels fewer right turns; when the tire pressure of the vehicle is insufficient, low-speed road sections such as ground roads and the like are recommended to be used as navigation paths, so that the safe driving of the vehicle is guaranteed.
In an embodiment of the present invention, when the service module 22 provides the fueling-charging advice, the personalized feature data includes a schedule of the user, and if the schedule allows, the service module sends the fueling-charging advice to the user, and after receiving the user permission, navigates to a gas station or a charging station of the route. For example, when the user drives to the next schedule and the current oil quantity or the current electric quantity of the vehicle is low, namely lower than a preset threshold value, if a surplus event is judged to exist from the next schedule, the user is recommended to add oil or charge. After the user confirms, the approach gas station or charging station is provided to the user, and the user selects the gas station or charging station.
In an embodiment of the present invention, when the service module 22 recommends a parking lot, any one of the following methods may be adopted according to the specific content of the personalized feature data:
A) and recommending parking lots matched with the parking habits of the users according to the parking habits of the users. For example, when the user's parking habit is to park on a wall, a parking lot with an edge parking space is recommended.
B) And recommending the parking lot matched with the living habits of the user according to the living habits of the user. For example, when the user's lifestyle is sports and the user goes to a place such as a park, a parking lot with a certain walking distance from the place such as the park is recommended.
C) And recommending the parking lot matched with the user payment habit and the user consumption level according to the user payment habit and the user consumption level. For example, when the user has a high consumption level and likes mobile payment, a parking lot which can be paid by a mobile phone and has good hardware conditions is recommended; when the user consumption level is general and cash payment is favored, a cash-payable preferential or free parking lot is recommended.
D) And recommending parking spaces matched with the user schedule according to the user schedule and the parking lot environment. For example, when the user needs to attend the next itinerary as soon as possible, the parking space closest to the location of the itinerary, such as the parking space near the elevator, is recommended.
E) And recommending the parking lot with the minimum correlation degree with the parking lot peripheral events according to the user schedule and the parking lot peripheral events. For example, when a large-scale event such as a concert and a performance exists around the parking lot and the time of the large-scale event is close to the next day of the user, the parking lot far away from the large-scale event is selected, so that the interference of the large stream of people on the parking trip of the user is avoided.
F) And recommending the parking lot matched with the current event of the user according to the schedule of the user and the time consumption of the current event of the user. For example, when the user currently needs to stop for a certain time, a roadside parking lot near the parking spot is recommended.
It should be noted that the division of the modules of the above system is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the x module may be a processing element that is set up separately, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the x module may be called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
As shown in fig. 3, in an embodiment, the vehicle-mounted terminal of the present invention includes: a processor 31 and a memory 32.
The memory 32 is used for storing computer programs.
The memory 32 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 31 is connected to the memory 32 and configured to execute the computer program stored in the memory 32, so that the vehicle-mounted terminal executes the personalized driving service method.
Preferably, the processor 31 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
As shown in fig. 4, in an embodiment, the personalized driving service system of the present invention includes the vehicle-mounted terminal 41 and the cloud server 42.
The cloud server 42 is in communication connection with the vehicle-mounted terminal 41, and is configured to send historical driving data and personalized feature data of the user to the vehicle-mounted terminal 41.
In summary, the personalized driving service method, the personalized driving service system and the vehicle-mounted terminal can provide personalized driving service based on the historical data and the personalized data of the user, and meet different requirements of different users; the system does not need manual operation of a user, can automatically provide functions of information recommendation, information prompt and the like, and greatly improves user experience. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A personalized driving service method is characterized in that: the method comprises the following steps:
acquiring historical driving data and personalized feature data of a user based on a cloud server;
recommending a navigation path, recommending a parking place, providing a driving reminder and/or providing a refueling and charging suggestion based on the historical driving data and the personalized feature data.
2. The personalized driving service method according to claim 1, wherein: when the driving reminding is provided, the historical driving data comprises historical violation deduction information, and violation deduction event reminding matched with the historical violation deduction information is provided.
3. The personalized driving service method according to claim 1, wherein: when the driving reminding is provided, the historical driving data comprises historical accident information, and when the current driving data is consistent with the driving data of the historical accident information, accident reminding matched with the historical accident information is provided.
4. The personalized driving service method according to claim 1, wherein: and when the navigation path is recommended, the navigation path matched with the vehicle condition information is recommended.
5. The personalized driving service method according to claim 1, wherein: when a refueling and charging advice is provided, the personalized feature data comprises a schedule of the user, and the refueling or charging advice is sent to the user when the schedule allows, and the user navigates to a nearby refueling station or charging station after receiving the permission of the user.
6. The personalized driving service method according to claim 1, wherein: the personalized feature data comprises one or more combinations of user parking habits, user living habits, user payment habits, user consumption levels and user schedules.
7. The personalized driving service method according to claim 6, wherein: when the parking lot is recommended, any one of the following methods is adopted:
recommending parking lots matched with the parking habits of the users according to the parking habits of the users;
recommending parking lots matched with the living habits of the users according to the living habits of the users;
recommending parking lots matched with the payment habits and the consumption levels of the users according to the payment habits and the consumption levels of the users;
recommending parking spaces matched with the user schedule according to the user schedule and the parking lot environment;
recommending a parking lot with the minimum correlation degree with the events around the parking lot according to the user schedule and the events around the parking lot;
and recommending the parking lot matched with the current event of the user according to the schedule of the user and the time consumption of the current event of the user.
8. A personalized driving service system is characterized in that: the system comprises an acquisition module and a service module;
the acquisition module is used for acquiring historical driving data and personalized feature data of a user based on a cloud server;
the service module is used for recommending a navigation path, recommending a parking place, providing a driving prompt and/or providing a refueling and charging suggestion based on the historical driving data and the personalized feature data.
9. A vehicle-mounted terminal characterized by comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory so as to enable the vehicle-mounted terminal to execute the personalized driving service method of any one of claims 1 to 7.
10. A personalized driving service system is characterized in that: the vehicle-mounted terminal and the cloud server of claim 9;
the cloud server is used for sending historical driving data and personalized feature data of the user to the vehicle-mounted terminal.
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Application publication date: 20200207 |