CN111653114A - Information reminding method and device, electronic equipment and storage medium - Google Patents
Information reminding method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses an information reminding method, an information reminding device, electronic equipment and a storage medium, and relates to the intelligent traffic technology. The specific implementation scheme is as follows: acquiring position information of a current position of a vehicle; acquiring prediction information and real-time traffic information according to the position information; the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road; determining a target road in a plurality of roads according to the probability of the vehicle driving into each road and the real-time traffic information, and acquiring the reminding information of the target road; and outputting the reminding information of the target road. The information reminding method can effectively prevent traffic hidden dangers in the driving process of the vehicle and bring convenience to driving of a driver.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for information reminding related to the field of intelligent transportation, an electronic device, and a storage medium.
Background
With the development of intelligent transportation technology, the vehicle can predict a driving route in the driving process, and help is provided for the driving of a driver.
Currently, a route traveled ahead of a vehicle is generally predicted based on offline road network data. The offline road network data may reflect the interconnection of various road components and the mesh-like distribution of road systems. Road detection is carried out based on off-line road network data, information dimension is single, accuracy of predicted information is low, and inconvenience is brought to driving of a driver.
Disclosure of Invention
The information reminding method, the information reminding device, the electronic equipment and the storage medium are provided, and convenience is brought to driving of a driver.
According to a first aspect, an information reminding method is provided, which includes:
acquiring position information of a current position of a vehicle;
acquiring prediction information and real-time traffic information according to the position information; the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road;
determining a target road in the plurality of roads according to the probability of the vehicle entering each road and the real-time traffic information, and acquiring reminding information of the target road;
and outputting the reminding information of the target road.
It can be seen that, unlike the prior art, in the embodiment of the present application, by acquiring the position information of the current position of the vehicle, the prediction information and the real-time traffic information are acquired according to the position information. Wherein the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road. And then, determining a target road in the plurality of roads according to the probability of the vehicle entering each road and the real-time traffic information, acquiring the reminding information of the target road, and outputting the reminding information of the target road. The probability that the vehicle drives into each road and the real-time traffic information are comprehensively considered, and the reminding information of some of the roads can be acquired and output, so that the driver can effectively prevent the traffic hidden trouble in the driving process of the vehicle through the reminding information, convenience is brought to the driving of the driver, and the driving experience and the traveling efficiency are improved.
According to a second aspect, there is provided an information reminder device comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring the position information of the current position of a vehicle;
the processing module is used for acquiring the prediction information and the real-time traffic information according to the position information; the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road;
the processing module is further used for determining a target road in the plurality of roads according to the probability that the vehicle enters each road and the real-time traffic information, and acquiring reminding information of the target road;
and the output module is used for outputting the reminding information of the target road.
According to a third aspect, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
According to a fourth aspect, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the first aspect described above.
One embodiment in the above application has the following advantages or benefits: the probability that the vehicle drives into each road and the real-time traffic information are comprehensively considered, and the reminding information of some of the roads can be acquired and output, so that the driver can effectively prevent the traffic hidden trouble in the driving process of the vehicle through the reminding information, convenience is brought to the driving of the driver, and the driving experience and the traveling efficiency are improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a diagram of an application scenario applicable to an embodiment of the present application;
fig. 2 is a flowchart of an information reminding method according to an embodiment of the present application;
FIG. 3 is a diagram illustrating one implementation of predictive information provided by an embodiment of the present application;
fig. 4 is another flowchart of an information reminding method according to an embodiment of the present application;
FIG. 5 is a schematic diagram illustrating an implementation manner of a reminding message of a target road according to an embodiment of the present application;
fig. 6 is a schematic diagram of another implementation manner of the reminding information of the target road provided in the embodiment of the present application;
fig. 7 is a schematic structural diagram of an information reminding apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is an application scenario diagram applicable to the embodiment of the present application. As shown in fig. 1, a vehicle 100 travels on one of the road networks 200. The road network may be called a road network, and is a road system in which various roads are interconnected and distributed in a mesh shape in a certain area. The present application does not limit the names and types of road networks. For example, a road network may be referred to as a road network, which is composed entirely of roads of various levels. For another example, a road network composed of various roads in a city range may be referred to as an urban road network. The vehicle 100 may communicate wirelessly with the server 300 to transmit data. The content of the data transmitted between the vehicle 100 and the server 300 is not limited in the present application.
It should be noted that the present application is not limited to the type, structure, and specific components included in the vehicle 100.
It should be noted that the present application does not limit the type of the server 300. For example, server 300 may include, but is not limited to: a stand-alone server, a cluster of servers, or a cloud server.
In the prior art, during the driving process of a vehicle, a route driven in front of the vehicle can be predicted based on offline road network data. However, when road detection is performed based on off-line road network data, the information dimension is single, the accuracy of predicted information is low, and inconvenience is brought to driving of a driver.
Based on the technical problem, the application provides an information reminding method, which can acquire the position information of the current position of a vehicle and acquire the prediction information and the real-time traffic information according to the position information. Wherein the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road. And then, determining a target road in the plurality of roads according to the probability of the vehicle entering each road and the real-time traffic information, acquiring the reminding information of the target road, and outputting the reminding information of the target road. On the basis of predicting and acquiring the probability that the vehicle drives into the related road, the probability that the vehicle drives into each road and real-time traffic information are comprehensively considered, and the reminding information of some of the roads can be acquired and output, so that the driver can effectively prevent traffic hidden dangers in the driving process of the vehicle through the reminding information, convenience is brought to the driving of the driver, and the driving experience and the traveling efficiency are improved.
The following description is made with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Fig. 2 is a flowchart of an information reminding method according to an embodiment of the present application. In the information reminding method provided by this embodiment, the execution main body may be an information reminding device or an electronic device. As shown in fig. 2, the information reminding method provided in this embodiment may include:
s201, position information of the current position of the vehicle is obtained.
The position information of the vehicle is used to indicate the current position of the vehicle, and the implementation manner of the position information of the vehicle is not limited in this embodiment.
Optionally, a positioning device is arranged on the vehicle, and the type and the arrangement position of the positioning device are not limited in this embodiment. Alternatively, the positioning means may include, but are not limited to: a Global Positioning System (GPS) positioning device, a beidou positioning device, and the like. GPS is a high-precision air-satellite-based radio navigation positioning system that provides accurate geographic location, vehicle speed, and precise time information anywhere in the world and in near-earth space. The Beidou satellite navigation system can provide high-precision, high-reliability positioning, navigation and time service for various users all day long in the global range. The position information of the current position of the vehicle may be position information acquired by a positioning device, such as GPS positioning information or beidou positioning information.
Optionally, the location information may be an identifier of a road on which the vehicle is currently located, where the road identifier may uniquely distinguish different roads. The implementation manner of the road identifier is not limited in this embodiment, and may be, for example, a serial number of a road or a name of a road.
And S202, acquiring the prediction information and the real-time traffic information according to the position information.
Wherein the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road.
The following description will be made by way of examples, which are not intended to limit the present invention.
Fig. 3 is a schematic diagram of an implementation manner of prediction information provided in an embodiment of the present application. As shown in fig. 3, the vehicle is currently traveling on the road 1, traveling to the right. The plurality of roads associated with the current position of the vehicle, or referred to as an associated plurality of roads associated with the position information of the current position of the vehicle, or referred to as an associated plurality of roads associated with the road 1 on which the vehicle is currently located, may include: roads 21-22, roads 31-36, roads 41-47 and roads 51-52. Wherein, the probability of the vehicles driving into the roads 21-22 is respectively represented as P21-22, the probability of the vehicles driving into the roads 31-36 is respectively represented as P31-36, the probability of the vehicles driving into the roads 41-47 is respectively represented as P41-47, and the probability of the vehicles driving into the roads 51-52 is respectively represented as P51-52.
It should be noted that, the implementation manner of obtaining the prediction information according to the position information is not limited in this embodiment, and the prediction result may be any existing route prediction method, and includes a road that the vehicle may enter and a probability that the vehicle enters each road. The present embodiment does not limit the specific number of the multiple roads, and the prediction methods are different, and the number may be different.
The real-time traffic information is used for reflecting the traffic condition of roads in a certain area. For convenience of description, for each road in the certain area, the traffic condition of the road may be referred to as road condition information of the road, and the road condition information may affect the driving of the vehicle. The embodiment does not limit the specific content included in the real-time traffic information and the traffic information. Optionally, the real-time traffic information and traffic information may include, but is not limited to, at least one of the following types of information: traffic accident information, traffic jam information, road closure information, traffic control information, road surface abnormality information, and abnormal weather information.
S203, determining a target road in the plurality of roads according to the probability of the vehicle entering each road and the real-time traffic information, and acquiring the reminding information of the target road.
The number of target roads is not limited in this embodiment. Optionally, the number of target roads is a positive integer less than or equal to a preset maximum value. In this embodiment, the specific value of the preset maximum value is not limited.
And S204, outputting the reminding information of the target road.
In this embodiment, the manner of outputting the reminding information of the target road is not limited. For example, the reminding information of the target road can be played in a voice broadcast mode. For another example, the reminder information of the target road may be displayed on a display device in the vehicle.
Therefore, the information reminding method provided by the embodiment can acquire the position information of the current position of the vehicle, and acquire the prediction information and the real-time traffic information according to the position information. Wherein the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road. And then, determining a target road in the plurality of roads according to the probability of the vehicle entering each road and the real-time traffic information, acquiring the reminding information of the target road, and outputting the reminding information of the target road. According to the information reminding method provided by the embodiment, on the basis of predicting and acquiring the probability that the vehicle drives into the related road, the probability that the vehicle drives into each road and the real-time traffic information are comprehensively considered, and the reminding information of some roads can be acquired and output, so that a driver can effectively prevent traffic hidden dangers in the driving process of the vehicle through the reminding information, convenience is brought to the driving of the driver, and the driving experience and the traveling efficiency are also improved.
In another embodiment of the present application, based on the embodiment shown in fig. 3, this embodiment describes an implementation manner of obtaining the prediction information according to the position information in S202, and determining the target road among the multiple roads and obtaining the reminding information of the target road according to the probability that the vehicle enters each road and the real-time traffic information in S203.
Optionally, in an implementation manner, in S202, obtaining the prediction information according to the position information may include:
and determining the current running road of the vehicle according to the position information.
And acquiring the prediction information according to the road on which the vehicle runs currently, the historical running information of the vehicle and the acquired road network information.
In this embodiment, the content included in the historical driving information of the vehicle is not limited. Optionally, the historical driving information of the vehicle may include, but is not limited to, at least one of the following: the vehicle driving track, the vehicle driving speed and the vehicle departure place.
In this embodiment, the method for acquiring the prediction information according to the road on which the vehicle is currently running, the historical running information of the vehicle, and the acquired road network information is not limited. For example, it can be implemented by a Breadth first search algorithm (BFS). This is illustrated by way of example in fig. 3. The vehicle can obtain an identification (labeled link) of the road 1 on which the vehicle is located according to the current position. Based on a BFS method, possible predicted routes link in the Nth layer can be detected, a cruise route link tree is built, and the probability that the vehicle drives into each predicted route is predicted. For example, in FIG. 3, relative to road 1, roads 21-22 may be possible predicted routes in layer 1, roads 31-36 may be possible predicted routes in layer 2, roads 41-47 may be possible predicted routes in layer 3, and roads 51-52 may be possible predicted routes in layer 4. It should be noted that fig. 3 does not limit the information reminding method provided in this embodiment.
Optionally, in an implementation manner, referring to fig. 4, fig. 4 is another flowchart of an information reminding method provided in an embodiment of the present application. In S203, determining a target road in the multiple roads according to the probability of the vehicle entering each road and the real-time traffic information, and acquiring the reminding information of the target road, which may include:
s401, determining at least one first road in the multiple roads according to the multiple roads and the real-time traffic information, wherein the first road has road condition information.
In this implementation, for convenience of description, a road having traffic information among a plurality of roads associated with location information of a location where a vehicle is currently located is referred to as a first road.
By matching the plurality of roads with real-time traffic information, a first road may be determined. For example, matching is performed by the identification of the link or the name of the link.
S402, determining a target road and reminding information of the target road according to the probability that the vehicle enters each road and at least one first road.
It can be seen that, in this implementation manner, firstly, a road with road condition information is identified from a plurality of roads associated with the current position of the vehicle, and then, according to the probability that the vehicle enters each road, a target road is further determined from the roads with road condition information, so as to obtain the reminding information of the target road.
Optionally, in S402, determining the target road and the reminding information of the target road according to the probability that the vehicle drives into each road and the at least one first road, may include:
at least one second road is determined among the at least one first road based on the probability of the vehicle entering each road. And the probability that the vehicle enters the second road is greater than a preset threshold value.
And determining a target road in the at least one second road, and determining the road condition information of the target road as the reminding information of the target road.
Specifically, in this implementation manner, after a first road having road condition information is identified from a plurality of roads associated with the current position of the vehicle, a road having a probability that the vehicle enters the road greater than a preset threshold may be identified from at least one first road. For convenience of description, a road on which the probability that a vehicle enters the road in the first road is greater than a preset threshold value is referred to as a second road. Therefore, the target road is finally determined in the at least one second road, and the reminding information of the target road is obtained.
This is illustrated below in connection with fig. 5. Fig. 5 is a schematic diagram of an implementation manner of the reminding information of the target road according to the embodiment of the present application. In fig. 5, the plurality of roads associated with the position information of the vehicle 100 may include: roads 21-22, roads 31-36, roads 41-47 and roads 51-52. Wherein, the first road with the traffic information may include: road 22, road 31, and road 41. However, the probability P22 that the vehicle enters the road 22 is smaller than the preset threshold, and the probability P31 that the vehicle enters the road 31 and the probability P41 that the vehicle enters the road 41 are both larger than the preset threshold, and the second road includes the road 31 and the road 41. Alternatively, in the present example, both the road 31 and the road 41 may be determined as the target road. Illustratively, in fig. 5, the road 31 is indicated by a bold solid line 301, and the road 41 is indicated by a broken line 302 as a no-pass. In this example, the target road is 2.
In this embodiment, the value of the preset threshold is not limited.
It should be noted that, in the case that the probability that the vehicle enters the first road is equal to the preset threshold, the first road may be determined as the second road, or may not be determined as the second road.
Optionally, the target road may be a second road with a highest probability value that the vehicle enters the second road in the at least one second road.
This is illustrated below in connection with fig. 6. Fig. 6 is a schematic diagram of another implementation manner of the reminding information of the target road provided in the embodiment of the present application. In fig. 6, the plurality of roads associated with the position information of the vehicle 100 may include: roads 21-22, roads 31-36, roads 41-47 and roads 51-52. Wherein, the first road with the traffic information may include: road 22, road 31, and road 32. However, the probability P22 that the vehicle enters the road 22 is smaller than the preset threshold, and the probability P31 that the vehicle enters the road 31 and the probability P32 that the vehicle enters the road 32 are both larger than the preset threshold, and the second road includes the road 31 and the road 32. Also, the probability P31 that the vehicle enters the road 31 is greater than the probability P32 that the vehicle enters the road 32, and therefore, in the present example, the road 31 may be determined as the target road. Illustratively, in fig. 6, the road 31 is indicated by a bold solid line 301. In this example, the target road is 1.
Optionally, in another implementation manner, in S203, determining a target road in the multiple roads according to the probability that the vehicle drives into each road and the real-time traffic information, and acquiring the reminding information of the target road may include:
and sequencing the probability values of the multiple roads from large to small according to the probability of the vehicle entering each road.
And according to the arrangement sequence of the multiple roads, determining whether the road has road condition information or not according to the real-time traffic information aiming at each road in the multiple roads, and obtaining a target road. Wherein, the target road has road condition information.
As can be seen, in the implementation manner, the probability values of the multiple roads are sorted from large to small, and then the road with the traffic information is further determined as the target road according to the sorting order. Whether the determination of whether the road has the road condition information according to the real-time traffic information is performed or not can be determined according to the preset number of the target roads.
In another embodiment of the present application, on the basis of the embodiment shown in fig. 3, the present embodiment describes an implementation manner of acquiring the position information of the current position of the vehicle in S201 described above.
Optionally, the real-time traffic information may include road condition information of roads in a first area range, and the first area range may include a current position of the vehicle. In this embodiment, the size of the first area range is not limited.
Optionally, in an implementation manner, in S201, acquiring real-time traffic information according to the location information may include:
a first area range is determined based on the location information.
And sending the first area range to a server.
And receiving the real-time traffic information sent by the server.
In this implementation, the electronic device determines a first area range and sends the first area range to the server. Correspondingly, the server receives the first area range sent by the electronic equipment, acquires the real-time traffic information corresponding to the first area range, and sends the real-time traffic information to the electronic equipment. Correspondingly, the electronic equipment receives the real-time traffic information sent by the server.
Optionally, in another implementation manner, in S201, acquiring the real-time traffic information according to the location information may include:
and sending the position information to a server.
And receiving the real-time traffic information sent by the server.
In this implementation, the electronic device directly sends the location information to the server. Correspondingly, the server receives the position information sent by the electronic equipment, determines the first area range according to the position information, acquires the real-time traffic information corresponding to the first area range, and sends the real-time traffic information to the electronic equipment. Correspondingly, the electronic equipment receives the real-time traffic information sent by the server.
Fig. 7 is a schematic structural diagram of an information reminding device according to an embodiment of the present application. As shown in fig. 7, the information reminding apparatus provided in this embodiment may include:
an obtaining module 701, configured to obtain position information of a current position of a vehicle;
a processing module 702, configured to obtain prediction information and real-time traffic information according to the location information; the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road;
the processing module 702 is further configured to determine a target road in the multiple roads according to the probability that the vehicle enters each road and the real-time traffic information, and acquire prompting information of the target road;
and an output module 703, configured to output the reminding information of the target road.
Optionally, the processing module 702 is specifically configured to:
determining at least one first road in the plurality of roads according to the plurality of roads and the real-time traffic information, wherein the first road has road condition information;
and determining the target road and the reminding information of the target road according to the probability that the vehicle enters each road and the at least one first road.
Optionally, the processing module 702 is specifically configured to:
determining at least one second road in the at least one first road according to the probability that the vehicle enters each road; wherein the probability that the vehicle enters the second road is greater than a preset threshold value;
and determining the target road in the at least one second road, and determining the road condition information of the target road as the reminding information of the target road.
Optionally, the target road is a second road with a maximum probability value that the vehicle enters the second road in the at least one second road.
Optionally, the number of the target roads is a positive integer smaller than or equal to a preset maximum value.
Optionally, the processing module 702 is specifically configured to:
determining the current running road of the vehicle according to the position information;
and acquiring the prediction information according to the road on which the vehicle runs currently, the historical running information of the vehicle and the acquired road network information.
Optionally, the real-time traffic information includes road condition information of a road in a first area range, and the first area range includes the current position of the vehicle.
Optionally, the processing module 702 is specifically configured to:
determining the first area range according to the position information;
sending the first area range to a server;
and receiving the real-time traffic information sent by the server.
Optionally, the processing module 702 is specifically configured to:
sending the position information to a server;
and receiving the real-time traffic information sent by the server.
The information reminding device provided in this embodiment is used for executing the information reminding method provided in this embodiment of the method of the present application, and the technical principle and the technical effect are similar, and are not described herein again.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in FIG. 8, the electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, in-vehicle systems in automobiles (or referred to as in-vehicle computers), and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, smart phones, tablets, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 8, the electronic apparatus includes: one or more processors 801, memory 802, and interfaces for connecting the various components, including a high speed interface and a low speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Fig. 8 illustrates an example of a processor 801.
The memory 802 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor, so that the at least one processor executes the information reminding method provided by the application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute the information reminding method provided by the present application.
The memory 802 is a non-transitory computer readable storage medium, and can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the information reminding method in the embodiment of the present application (for example, the obtaining module 701, the processing module 702, and the output module 703 shown in fig. 7). The processor 801 executes various functional applications and data processing of the electronic device by running non-transitory software programs, instructions and modules stored in the memory 802, that is, implements the information reminding method in the above method embodiments.
The memory 802 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 802 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 802 optionally includes memory located remotely from the processor 801, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device may further include: an input device 803 and an output device 804. The processor 801, the memory 802, the input device 803, and the output device 804 may be connected by a bus or other means, and are exemplified by a bus in fig. 8.
The input device 803 may receive data or information transmitted by other devices or apparatuses (e.g., a microphone array, etc.), and may also input numeric or character information, and generate key signal inputs related to user settings and function control of the electronic apparatus, such as an input device like a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, etc. The output devices 804 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device through which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the data to be processed in the persistent layer is obtained through interception, and if the data to be processed comprises the target class to be encrypted or decrypted and the data to be processed comprises the target field to be encrypted or decrypted in the target class according to the compiled file, the target field to be encrypted or decrypted is encrypted or decrypted to obtain the target data. Therefore, relevant codes of database insertion and reading operations in the original program do not need to be modified, the modification amount of the original program is reduced, and the data processing efficiency is improved.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (20)
1. An information reminding method is characterized by comprising the following steps:
acquiring position information of a current position of a vehicle;
acquiring prediction information and real-time traffic information according to the position information; the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road;
determining a target road in the plurality of roads according to the probability of the vehicle entering each road and the real-time traffic information, and acquiring reminding information of the target road;
and outputting the reminding information of the target road.
2. The method according to claim 1, wherein the determining a target road among the plurality of roads and obtaining the reminding information of the target road according to the probability of the vehicle entering each road and the real-time traffic information comprises:
determining at least one first road in the plurality of roads according to the plurality of roads and the real-time traffic information, wherein the first road has road condition information;
and determining the target road and the reminding information of the target road according to the probability that the vehicle enters each road and the at least one first road.
3. The method according to claim 2, wherein the determining the target road and the reminding information of the target road according to the probability of the vehicle entering each road and the at least one first road comprises:
determining at least one second road in the at least one first road according to the probability that the vehicle enters each road; wherein the probability that the vehicle enters the second road is greater than a preset threshold value;
and determining the target road in the at least one second road, and determining the road condition information of the target road as the reminding information of the target road.
4. The method of claim 3, wherein the target road is a second road of the at least one second road on which the probability value of the vehicle entering the second road is greatest.
5. The method according to any one of claims 1 to 4, characterized in that the number of target roads is a positive integer less than or equal to a preset maximum value.
6. The method according to any one of claims 1-4, wherein the obtaining the prediction information according to the location information comprises:
determining the current running road of the vehicle according to the position information;
and acquiring the prediction information according to the road on which the vehicle runs currently, the historical running information of the vehicle and the acquired road network information.
7. The method of any one of claims 1-4, wherein the real-time traffic information comprises road condition information for roads in a first area, the first area comprising the current location of the vehicle.
8. The method of claim 7, wherein obtaining real-time traffic information based on the location information comprises:
determining the first area range according to the position information;
sending the first area range to a server;
and receiving the real-time traffic information sent by the server.
9. The method of any one of claims 1-4, wherein obtaining real-time traffic information based on the location information comprises:
sending the position information to a server;
and receiving the real-time traffic information sent by the server.
10. An information reminder device, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring the position information of the current position of a vehicle;
the processing module is used for acquiring the prediction information and the real-time traffic information according to the position information; the prediction information includes a plurality of roads associated with the position information and a probability that the vehicle enters each road;
the processing module is further used for determining a target road in the plurality of roads according to the probability that the vehicle enters each road and the real-time traffic information, and acquiring reminding information of the target road;
and the output module is used for outputting the reminding information of the target road.
11. The apparatus of claim 10, wherein the processing module is specifically configured to:
determining at least one first road in the plurality of roads according to the plurality of roads and the real-time traffic information, wherein the first road has road condition information;
and determining the target road and the reminding information of the target road according to the probability that the vehicle enters each road and the at least one first road.
12. The apparatus of claim 11, wherein the processing module is specifically configured to:
determining at least one second road in the at least one first road according to the probability that the vehicle enters each road; wherein the probability that the vehicle enters the second road is greater than a preset threshold value;
and determining the target road in the at least one second road, and determining the road condition information of the target road as the reminding information of the target road.
13. The apparatus of claim 12, wherein the target road is a second road of the at least one second road on which the probability value of the vehicle entering the second road is greatest.
14. The apparatus according to any one of claims 10 to 13, wherein the number of target roads is a positive integer less than or equal to a preset maximum value.
15. The apparatus according to any one of claims 10 to 13, wherein the processing module is specifically configured to:
determining the current running road of the vehicle according to the position information;
and acquiring the prediction information according to the road on which the vehicle runs currently, the historical running information of the vehicle and the acquired road network information.
16. The apparatus of any one of claims 10-13, wherein the real-time traffic information comprises road condition information for roads in a first area, the first area comprising the current location of the vehicle.
17. The apparatus of claim 16, wherein the processing module is specifically configured to:
determining the first area range according to the position information;
sending the first area range to a server;
and receiving the real-time traffic information sent by the server.
18. The apparatus according to any one of claims 10 to 13, wherein the processing module is specifically configured to:
sending the position information to a server;
and receiving the real-time traffic information sent by the server.
19. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.
20. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-9.
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