CN113256974A - Vehicle violation early warning method, device, equipment and storage medium - Google Patents
Vehicle violation early warning method, device, equipment and storage medium Download PDFInfo
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- CN113256974A CN113256974A CN202110512935.8A CN202110512935A CN113256974A CN 113256974 A CN113256974 A CN 113256974A CN 202110512935 A CN202110512935 A CN 202110512935A CN 113256974 A CN113256974 A CN 113256974A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
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Abstract
The embodiment of the application provides a vehicle violation early warning method, a device, equipment and a storage medium, wherein the vehicle violation early warning method comprises the following steps: receiving a login request of a user, wherein the login request comprises identity identification information of the user; when the identification information passes verification, obtaining historical violation data of the user; acquiring driving state data and navigation information of a vehicle; judging whether the vehicle has a violation risk or not according to the historical violation data, the running state data and the navigation information; and when the vehicle has the violation risk, carrying out violation early warning according to a preset mode. The method and the device realize accurate and effective violation early warning for the driver and reduce repeated violation behaviors.
Description
Technical Field
The application relates to the technical field of computers, in particular to a vehicle violation early warning method, device, equipment and storage medium.
Background
With the rapid development of the automobile industry and the increasing living standard of people, automobiles become the most common transportation means for people. The automobile navigation technology can plan an accurate, effective and rapid driving path for a user according to the distance between a departure place and a destination, road condition information and traffic information, and guide a vehicle to smoothly reach a destination. In order to ensure traffic safety, a driver should strictly comply with traffic regulations during driving, but due to poor driving habits of the driver, a situation that the violation is repeated for many times at the same position sometimes occurs. In the prior art, a navigation system can only send out violation early warning according to a monitoring probe installed in a driving path generally, cannot carry out personalized early warning for different drivers, and is difficult to play a good early warning effect on repeated violation behaviors.
Disclosure of Invention
The embodiment of the application aims to provide a vehicle violation early warning method, device, equipment and storage medium, which are used for providing accurate and effective violation early warning for a driver and reducing repeated violation behaviors.
The first aspect of the embodiment of the application provides a vehicle violation early warning method, which comprises the following steps: receiving a login request of a user, wherein the login request comprises identity identification information of the user; when the identification information passes verification, obtaining historical violation data of the user; acquiring driving state data and navigation information of a vehicle; judging whether the vehicle has a violation risk or not according to the historical violation data, the running state data and the navigation information; and when the vehicle has the violation risk, carrying out violation early warning according to a preset mode.
In an embodiment, the obtaining historical violation data of the user after the identification information passes the verification includes: judging whether a preset database stores account information corresponding to the identity identification information or not; and when account information corresponding to the identity identification information is stored in a preset database, acquiring historical violation data corresponding to the account information.
In an embodiment, the determining whether a violation risk exists according to the historical violation data, the driving state data, and the navigation information includes: screening the historical violation data according to the navigation information to determine the violation position on the navigation route; judging whether the distance between the current position of the vehicle and the violation position is smaller than a preset distance; when the distance between the current position of the vehicle and the violation position is smaller than a preset distance, determining violation behaviors corresponding to the violation position; and judging whether the vehicle has a violation risk or not according to the violation behaviors, the running state data and/or the navigation information.
In an embodiment, the determining whether the vehicle has a violation risk according to the violation, the driving status data, and/or the navigation information includes: when the violation behaviors do not drive according to the lane line, determining the actual passing direction of a first lane where the vehicle is located; determining a target driving direction of the vehicle according to the navigation information; judging whether the actual passing direction is consistent with the target running direction or not; and when the actual passing direction is inconsistent with the target running direction, judging that the vehicle has a violation risk.
In an embodiment, the determining whether the vehicle has a violation risk according to the violation, the driving status data, and/or the navigation information includes: determining a violation lane in which the violation behaviors occur and a first lane in which the vehicle is located currently; judging whether the first lane is the violation lane or not; and when the first lane is the violation lane, judging that the vehicle has violation risk.
In an embodiment, before the receiving the login request of the user, the method further includes: judging whether a preset reminding mode of the vehicle is a first mode or not; and when the preset reminding mode of the vehicle is the first mode, acquiring historical violation data of all account information on the vehicle.
The second aspect of the embodiment of the application provides a vehicle violation early warning device, includes: the system comprises a receiving module, a judging module and a sending module, wherein the receiving module is used for receiving a login request of a user, and the login request comprises the identity identification information of the user; the first acquisition module is used for acquiring historical violation data of the user after the identification information passes verification; the second acquisition module is used for acquiring the driving state data and the navigation information of the vehicle; the first judgment module is used for judging whether the vehicle has violation risks or not according to the historical violation data, the running state data and the navigation information; and the early warning module is used for carrying out violation early warning according to a preset mode when the vehicle has violation risks.
In one embodiment, the vehicle violation early warning device further includes: the second judgment module is used for judging whether the preset reminding mode of the vehicle is the first mode or not; and the third acquisition module is used for acquiring historical violation data of all account information on the vehicle when the preset reminding mode of the vehicle is the first mode.
In one embodiment, the first obtaining module is configured to: judging whether a preset database stores account information corresponding to the identity identification information or not; and when account information corresponding to the identity identification information is stored in a preset database, acquiring historical violation data corresponding to the account information.
In one embodiment, the first determining module is configured to: screening the historical violation data according to the navigation information to determine the violation position on the navigation route; judging whether the distance between the current position of the vehicle and the violation position is smaller than a preset distance; when the distance between the current position of the vehicle and the violation position is smaller than a preset distance, determining violation behaviors corresponding to the violation position; and judging whether the vehicle has a violation risk or not according to the violation behaviors, the running state data and/or the navigation information.
In an embodiment, the first determining module is specifically configured to: when the violation behaviors do not drive according to the lane line, determining the actual passing direction of a first lane where the vehicle is located; determining a target driving direction of the vehicle according to the navigation information; judging whether the actual passing direction is consistent with the target running direction or not; and when the actual passing direction is inconsistent with the target running direction, judging that the vehicle has a violation risk.
In an embodiment, the first determining module is specifically configured to: determining a violation lane in which the violation behaviors occur and a first lane in which the vehicle is located currently; judging whether the first lane is the violation lane or not; and when the first lane is the violation lane, judging that the vehicle has violation risk.
A third aspect of embodiments of the present application provides an electronic device, including: a memory to store a computer program; a processor configured to perform the method of the first aspect of the embodiments of the present application and any of the embodiments of the present application.
A fourth aspect of embodiments of the present application provides a non-transitory electronic device-readable storage medium, including: a program which, when run by an electronic device, causes the electronic device to perform the method of the first aspect of an embodiment of the present application and any embodiment thereof.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a vehicle violation early warning method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a vehicle violation warning method according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of a vehicle violation early warning device according to an embodiment of the present application.
Reference numerals:
100-electronic equipment, 110-bus, 120-processor, 130-memory, 400-violation early warning device, 410-receiving module, 420-first obtaining module, 430-second obtaining module, 440-first judging module, 450-early warning module, 460-second judging module and 470-third obtaining module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
In the description of the present application, the terms "first," "second," and the like are used for distinguishing between descriptions and do not denote an order of magnitude, nor are they to be construed as indicating or implying relative importance.
In the description of the present application, the terms "comprises," "comprising," and/or the like, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof.
In the description of the present application, the terms "mounted," "disposed," "provided," "connected," and "configured" are to be construed broadly unless expressly stated or limited otherwise. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be mechanically or electrically connected; either directly or indirectly through intervening media, or may be internal to two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Please refer to fig. 1, which is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, and includes at least one processor 120 and a memory 130, where fig. 1 illustrates one processor as an example. The processor 120 and the memory 130 are coupled by a bus 110, and the memory 130 stores instructions executable by the at least one processor 120, the instructions being executable by the at least one processor 120 to cause the at least one processor 120 to perform a vehicle violation warning method as in the embodiments described below.
In one embodiment, the Processor 120 may be a general-purpose Processor, including but not limited to a Central Processing Unit (CPU), a Network Processor (NP), etc., a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 120 is the control center of the electronic device 100 and connects the various parts of the entire electronic device 100 using various interfaces and lines. The processor 120 may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application.
In one embodiment, the Memory 130 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, including but not limited to Random Access Memory (RAM), Read Only Memory (ROM), Static Random Access Memory (SRAM), Programmable Read-Only Memory (PROM), Erasable Read-Only Memory (EPROM), electrically Erasable Read-Only Memory (EEPROM), and the like.
The structure of the electronic device 100 shown in fig. 1 is merely illustrative, and the electronic device 100 may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
As shown in fig. 2, which is a schematic flow chart of a vehicle violation early warning method according to an embodiment of the present application, the method may be executed by the electronic device 100 shown in fig. 1, so as to provide an accurate and effective violation early warning for a driver and reduce repeated violation behaviors. The method comprises the following steps:
step 201: and receiving a login request of a user, wherein the login request comprises the identification information of the user.
In the above steps, a login request carrying identification information of a user is received, wherein the identification information may be one of a face image, a fingerprint image and an account password. In one embodiment, the facial image of the driver may be collected by a face recognition system.
Step 202: and when the identification information passes the verification, obtaining historical violation data of the user.
In the above steps, the identification information is verified, and after the verification is passed, that is, the login is successful, historical violation data of the user is obtained, the historical violation data of the user refers to the violation data generated by the user in the past during the login, and the violation data may include but is not limited to a violation location, a violation behavior, a violation time and the like. In an embodiment, the violation data in the user historical login time period can be directly obtained from a database of the traffic management department, the violation data can be synchronized from the database of the traffic management department in real time or regularly through the connection of the server to the database of the traffic management department, and the violation data is stored in the preset database according to the corresponding user classification according to the user login condition when the violation behavior occurs.
In an embodiment, obtaining the historical violation data of the user after the identity identification information is verified may include: judging whether a preset database stores account information corresponding to the identity identification information or not; and when the preset database stores account information corresponding to the identity identification information, acquiring historical violation data corresponding to the account information.
Step 203: and acquiring the driving state data and the navigation information of the vehicle.
In the above steps, the driving state data of the vehicle may include, but is not limited to, a vehicle speed, a current position of the vehicle, lamp state information, current lane information of the vehicle, and the like, and the navigation information of the vehicle may include a departure place, a destination, a navigation route, and the like. In an embodiment, the current speed of the vehicle may be obtained through a Micro Control Unit (MCU), the road image may be collected through a front camera of the vehicle, and the current lane information of the vehicle may be obtained through an image recognition algorithm.
Step 204: and judging whether the vehicle has the violation risk or not according to the historical violation data, the driving state data and the navigation information.
In the above steps, according to the violation behaviors that have occurred on the leading route of the vehicle, the current running state data is combined to judge whether the vehicle has the violation risk, if the vehicle has the violation risk, step 205 is executed, and if the vehicle does not have the violation risk, step 203 is executed.
Step 205: and carrying out violation early warning according to a preset mode.
In the steps, the preset mode for carrying out violation early warning can be voice reminding, or can be that a vehicle-mounted display screen displays an early warning icon corresponding to violation behaviors, or can be that a vehicle-mounted AI virtual robot executes early warning actions. In one embodiment, multiple reminders can be respectively performed at different distances from the violation location, particularly at the violation location where the number of violations is large. In an embodiment, when the number of violation positions passed by the navigation line is large, prompt information can be output so that a user can select to switch other navigation lines to avoid or reduce the violation positions required to be passed.
As shown in fig. 3, which is a schematic flow chart of a vehicle violation early warning method according to an embodiment of the present application, the method may be executed by the electronic device 100 shown in fig. 1, so as to provide an accurate and effective violation early warning for a driver and reduce repeated violation behaviors. The method comprises the following steps:
step 301: and judging whether the preset reminding mode of the vehicle is the first mode or not.
In the above steps, the preset reminding mode may include a first mode and a second mode, the first mode refers to a general reminding mode in which the vehicle is used as a main body and the driver is not distinguished, the second mode refers to an individual reminding mode for different drivers, after the vehicle is started, whether the preset reminding mode of the vehicle is the first mode is determined, if the preset reminding mode of the vehicle is the first mode, step 302 is executed, and if the preset reminding mode of the vehicle is not the first mode, that is, the preset reminding mode of the vehicle is the second mode, step 303 is executed.
Step 302: and acquiring historical violation data of all account information on the vehicle.
In the steps, when the preset reminding mode is the first mode, historical violation data of all account information on the vehicle are obtained, and whether a driver who has a violation behavior in the past is the current driver or not, violation early warning is carried out on the current driver according to all historical violation data of the vehicle. Step 305 is performed next.
Step 303: and receiving a login request of a user, wherein the login request comprises the identification information of the user. For details, refer to the description of step 201 in the above embodiment.
Step 304: and when the identification information passes the verification, obtaining historical violation data of the user. For details, see the description of step 202 in the above embodiment.
Step 305: and acquiring the driving state data and the navigation information of the vehicle. For details, see the description of step 203 in the above embodiment.
Step 306: and screening historical violation data according to the navigation information to determine the violation position on the navigation route.
Step 307: and judging whether the distance between the current position of the vehicle and the violation position is smaller than a preset distance.
In the above steps, it is determined whether the distance between the current position of the vehicle and the violation position is smaller than the preset distance, if the distance between the current position of the vehicle and the violation position is smaller than the preset distance, step 308 is executed, and if the distance between the current position of the vehicle and the violation position is not smaller than the preset distance, step 305 is executed.
Step 308: a violation is determined corresponding to the violation location.
In the above step, the violation occurring at the upcoming violation location is determined based on the historical violation data, and the violation may include, but is not limited to: the vehicle runs without following a lane line, occupies an emergency lane, runs at an overspeed, turns to the vehicle without turning a turn signal, runs a red light, does not give way to pedestrians on a sidewalk, and the like.
Step 309: and judging whether the vehicle has the violation risk or not according to the violation behaviors, the driving state data and/or the navigation information.
In the above steps, it is determined whether the vehicle has a violation risk, if the vehicle has the violation risk, step 310 is executed, and if the vehicle does not have the violation risk, step 305 is executed.
In one embodiment, the determining whether the vehicle has a violation risk according to the violation behavior, the driving state data and/or the navigation information includes: when the violation behaviors do not drive according to the lane line, determining the actual passing direction of a first lane where the vehicle is located; determining a target driving direction of the vehicle according to the navigation information; judging whether the actual passing direction is consistent with the target running direction or not; and when the actual passing direction is inconsistent with the target running direction, judging that the vehicle has a violation risk.
In the above step, the actual traffic direction of the first lane may be straight, left turn, right turn, straight/left turn, straight/right turn, etc., and the target driving direction of the vehicle may be straight, left turn, or right turn. If the vehicle needs to go straight according to the navigation route, namely the target running direction is straight, and the actual running direction of the first lane is left-turn or right-turn, the actual running direction is inconsistent with the target running direction, the violation risk exists, violation early warning needs to be carried out to remind a driver to drive into the corresponding lane, and if the actual running direction of the first lane is straight, straight/left-turn or straight/right-turn, the actual running direction is consistent with the target running direction, and the violation risk does not exist.
In one embodiment, the determining whether the vehicle has a violation risk according to the violation behavior, the driving state data and/or the navigation information includes: determining a violation lane in which violation behaviors occur and a first lane in which a vehicle is located currently; judging whether the first lane is a violation lane; and when the first lane is a violation lane, judging that the vehicle has violation risk.
In the above steps, if the violation at a violation location occurs in a straight lane, when the vehicle runs on the straight lane near the violation location, it is determined that the vehicle has a violation risk, and when the vehicle runs on a turning lane near the violation location, it is determined that the vehicle does not have the violation risk, and the vicinity of the violation location means that the distance between the current location of the vehicle and the violation location is less than the preset distance. For example, when the violation is a straight-going pedestrian violation, if the vehicle is currently going straight, it is determined that the vehicle has a violation risk and a violation early warning needs to be made, and if the vehicle is currently turning, it is determined that the vehicle does not have a violation risk.
In an embodiment, determining whether the vehicle has a violation risk according to the violation behavior, the driving state data and/or the navigation information may further include: when the violation behavior is that an emergency lane is occupied, judging whether a first lane where the vehicle is located is the emergency lane; and when the first lane is an emergency lane, judging that the vehicle has violation risk.
In one embodiment, when the violation is overspeed, the current vehicle speed and the lane speed limit can be compared, if the current vehicle speed is about to reach or exceed the lane speed limit, it is determined that the vehicle has a violation risk, and if the current vehicle speed is about to reach the lane speed limit, which means that the ratio of the current vehicle speed to the lane speed limit is greater than a preset threshold, and the preset threshold can be determined according to the number of times of overspeed.
In an embodiment, when the violation behavior is that the vehicle turns to and does not turn on a turn signal, whether the vehicle has a violation risk or not can be judged according to the state information of the vehicle lamp, the actual passing direction of the first lane where the vehicle is currently located and the target running direction of the vehicle. If the vehicle needs to turn, but the turn signal lamp is not turned on or the turn signal lamp is wrong in direction, the violation risk exists.
In one embodiment, when the violation behavior is red light running, whether the vehicle has the violation risk or not can be judged according to the road traffic light condition in the navigation information.
Step 310: and carrying out violation early warning according to a preset mode. For details, refer to the description of step 205 in the above embodiment.
As shown in fig. 4, which is a schematic structural diagram of a vehicle violation early warning device 400 according to an embodiment of the present application, the device may be applied to the electronic device 100 shown in fig. 1, and includes: the system comprises a receiving module 410, a first obtaining module 420, a second obtaining module 430, a first judging module 440 and an early warning module 450.
The principle relationship of the modules is as follows:
the receiving module 410 is configured to receive a login request of a user, where the login request includes identification information of the user.
The first obtaining module 420 is configured to obtain historical violation data of the user after the identification information passes the verification.
And a second obtaining module 430, configured to obtain driving state data and navigation information of the vehicle.
And the first judging module 440 is used for judging whether the vehicle has a violation risk or not according to the historical violation data, the driving state data and the navigation information.
And the early warning module 450 is used for carrying out violation early warning according to a preset mode when the vehicle has violation risks.
In one embodiment, the vehicle violation early warning device 400 further comprises: the second judging module 460 and the third obtaining module 470, wherein the second judging module 460 is configured to judge whether the preset reminding mode of the vehicle is the first mode; the third obtaining module 470 is configured to obtain historical violation data of all account information on the vehicle when the preset reminding mode of the vehicle is the first mode.
In one embodiment, the first obtaining module 420 is configured to: judging whether a preset database stores account information corresponding to the identity identification information or not; and when the preset database stores account information corresponding to the identity identification information, acquiring historical violation data corresponding to the account information.
In one embodiment, the first determining module 440 is configured to: according to the navigation information, screening historical violation data to determine violation positions on the navigation route; judging whether the distance between the current position of the vehicle and the violation position is smaller than a preset distance or not; when the distance between the current position of the vehicle and the violation position is smaller than the preset distance, determining the violation behavior corresponding to the violation position; and judging whether the vehicle has the violation risk or not according to the violation behaviors, the driving state data and/or the navigation information.
In an embodiment, the first determining module 440 is specifically configured to: when the violation behaviors do not drive according to the lane line, determining the actual passing direction of a first lane where the vehicle is located; determining a target driving direction of the vehicle according to the navigation information; judging whether the actual passing direction is consistent with the target running direction or not; and when the actual passing direction is inconsistent with the target running direction, judging that the vehicle has a violation risk.
In an embodiment, the first determining module 440 is specifically configured to: determining a violation lane in which violation behaviors occur and a first lane in which a vehicle is located currently; judging whether the first lane is a violation lane; and when the first lane is a violation lane, judging that the vehicle has violation risk.
For a detailed description of the vehicle violation early warning device 400, please refer to the description of the related method steps in the above embodiments.
An embodiment of the present invention further provides a storage medium readable by an electronic device, including: a program that, when run on an electronic device, causes the electronic device to perform all or part of the procedures of the methods in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like. The storage medium may also comprise a combination of memories of the kind described above.
In the embodiments provided in the present application, the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The above description is only a preferred embodiment of the present application, and is only for the purpose of illustrating the technical solutions of the present application, and not for the purpose of limiting the present application. Any modification, equivalent replacement, improvement or the like, which would be obvious to one of ordinary skill in the art and would be within the spirit and principle of the present application, should be included within the scope of the present application.
Claims (10)
1. A vehicle violation early warning method is characterized by comprising the following steps:
receiving a login request of a user, wherein the login request comprises identity identification information of the user;
when the identification information passes verification, obtaining historical violation data of the user;
acquiring driving state data and navigation information of a vehicle;
judging whether the vehicle has a violation risk or not according to the historical violation data, the running state data and the navigation information;
and when the vehicle has the violation risk, carrying out violation early warning according to a preset mode.
2. The method of claim 1 wherein said obtaining historical violation data for said user after said identification information is verified comprises:
judging whether a preset database stores account information corresponding to the identity identification information or not;
and when account information corresponding to the identity identification information is stored in a preset database, acquiring historical violation data corresponding to the account information.
3. The method of claim 1 wherein said determining if a violation risk exists based on said historical violation data, said travel state data, and said navigational information comprises:
screening the historical violation data according to the navigation information to determine the violation position on the navigation route;
judging whether the distance between the current position of the vehicle and the violation position is smaller than a preset distance;
when the distance between the current position of the vehicle and the violation position is smaller than a preset distance, determining violation behaviors corresponding to the violation position;
and judging whether the vehicle has a violation risk or not according to the violation behaviors, the running state data and/or the navigation information.
4. The method of claim 3 wherein said determining whether the vehicle is at risk for a violation based on the violation, the travel state data, and/or the navigation information comprises:
when the violation behaviors do not drive according to the lane line, determining the actual passing direction of a first lane where the vehicle is located;
determining a target driving direction of the vehicle according to the navigation information;
judging whether the actual passing direction is consistent with the target running direction or not;
and when the actual passing direction is inconsistent with the target running direction, judging that the vehicle has a violation risk.
5. The method of claim 3 wherein said determining whether the vehicle is at risk for a violation based on the violation, the travel state data, and/or the navigation information comprises:
determining a violation lane in which the violation behaviors occur and a first lane in which the vehicle is located currently;
judging whether the first lane is the violation lane or not;
and when the first lane is the violation lane, judging that the vehicle has violation risk.
6. The method of claim 1, prior to said receiving a user login request, further comprising:
judging whether a preset reminding mode of the vehicle is a first mode or not;
and when the preset reminding mode of the vehicle is the first mode, acquiring historical violation data of all account information on the vehicle.
7. A vehicle violation early warning device, comprising:
the system comprises a receiving module, a judging module and a sending module, wherein the receiving module is used for receiving a login request of a user, and the login request comprises the identity identification information of the user;
the first acquisition module is used for acquiring historical violation data of the user after the identification information passes verification;
the second acquisition module is used for acquiring the driving state data and the navigation information of the vehicle;
the first judgment module is used for judging whether the vehicle has violation risks or not according to the historical violation data, the running state data and the navigation information;
and the early warning module is used for carrying out violation early warning according to a preset mode when the vehicle has violation risks.
8. The apparatus of claim 7, further comprising:
the second judgment module is used for judging whether the preset reminding mode of the vehicle is the first mode or not;
and the third acquisition module is used for acquiring historical violation data of all account information on the vehicle when the preset reminding mode of the vehicle is the first mode.
9. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 6.
10. A non-transitory electronic device readable storage medium, comprising: program which, when run by an electronic device, causes the electronic device to perform the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110512935.8A CN113256974A (en) | 2021-05-11 | 2021-05-11 | Vehicle violation early warning method, device, equipment and storage medium |
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| CN113450571A (en) * | 2021-09-01 | 2021-09-28 | 深圳市鼎粤科技有限公司 | Traffic intersection-based driving direction reminding method and device and storage medium |
| CN114023082A (en) * | 2021-12-23 | 2022-02-08 | 上海海事大学 | Vehicle speed display method, device, equipment and storage medium |
| CN114694416A (en) * | 2022-03-24 | 2022-07-01 | 东风汽车集团股份有限公司 | Violation vehicle avoidance method and avoidance system based on cloud server |
| CN115311878A (en) * | 2022-07-06 | 2022-11-08 | 珠海格力电器股份有限公司 | Vehicle violation prompting method and device, electronic equipment and storage medium |
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