CN113742589A - Driving prompting method and device, electronic equipment and storage medium - Google Patents

Driving prompting method and device, electronic equipment and storage medium Download PDF

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Publication number
CN113742589A
CN113742589A CN202111043965.5A CN202111043965A CN113742589A CN 113742589 A CN113742589 A CN 113742589A CN 202111043965 A CN202111043965 A CN 202111043965A CN 113742589 A CN113742589 A CN 113742589A
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vehicle
real
driving
time
information
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刘俊启
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9038Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/904Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

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Abstract

The disclosure provides a driving prompting method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, in particular to the technical field of intelligent traffic. The specific implementation scheme is as follows: determining a target driving line; acquiring motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information and real-time movement speed information; determining a driving route of the vehicle based on the motion information; acquiring real-time traffic road condition information of a driving line; detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route; and prompting the vehicle passengers in response to the detection that the vehicle is in the abnormal driving state. Therefore, the mobile terminal can detect whether the vehicle is in an abnormal driving state in real time, and can prompt the vehicle passengers in time if the abnormal driving state is detected, so that the vehicle passengers have more time to deal with potential safety hazard events which may occur.

Description

Driving prompting method and device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of data processing technology, and in particular, to the field of intelligent transportation technology.
Background
In recent years, with the rapid spread of smart mobile devices, the user population of smart mobile devices has covered different age stages. People are more and more dependent on mobile devices, and different services (or APPs) in mobile devices cover different aspects of our lives, clothing, food, living, walking, entertainment, payment, information acquisition, and the like.
Disclosure of Invention
The disclosure provides a driving prompting method, a driving prompting device, driving prompting equipment and a storage medium.
According to one aspect of the disclosure, a driving prompting method is provided, which includes:
determining a target driving line;
acquiring motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information and real-time movement speed information;
determining a driving route of the vehicle based on the motion information;
acquiring real-time traffic road condition information of the driving line;
detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route;
according to another aspect of the present disclosure, there is provided a driving prompt apparatus, including:
the first determination module is used for determining a target driving line;
a first obtaining module for obtaining motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information and real-time movement speed information;
the second determination module is used for determining a driving route of the vehicle based on the motion information;
the second acquisition module is used for acquiring real-time traffic road condition information of the driving line;
the detection module is used for detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route;
and the prompting module is used for responding to the detected abnormal driving state of the vehicle and prompting the vehicle passengers.
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 to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic flow chart of a driving prompt method according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of an apparatus for implementing a driving prompt method according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an electronic device for implementing a driving prompt method according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. 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 disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In recent years, with the rapid popularization of smart mobile devices, the mobile internet has become a main way for netizens to obtain information. The user population of smart mobile devices has covered different age stages of humans. People are more and more dependent on mobile devices, and basically, everyone uses a plurality of intelligent devices every day. Meanwhile, with the soundness of mobile ecology, different service software in the mobile equipment covers different aspects of people's life, including clothes, food, live, walk, entertainment, payment, information acquisition and the like; the dependence of people on the intelligent mobile equipment is more and more serious as a big housekeeper can listen to the voice and use the intelligent mobile equipment well.
The dependence on mobile devices has changed some people's lives, such as more and more people using mobile devices to reserve vehicles on the internet, commonly known as internet appointment cars, and data disclosed by a company of internet appointment cars, which has opened services in more than 4000 cities and regions in 15 countries, with 4.93 hundred million active users per year, 1500 million active drivers per year, and 4100 million daily units.
However, research shows that the number of intentional injury cases which occur each year in the traditional taxi industry and the online taxi appointment industry can reach hundreds.
In order to prompt a taxi or a passenger of a network appointment in time under the condition of potential danger, the embodiment of the disclosure provides a driving prompting method, a driving prompting device, electronic equipment and a storage medium.
In one embodiment of the present disclosure, a driving prompting method is provided, and the method includes:
determining a target driving line;
acquiring motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information and real-time movement speed information;
determining a driving route of the vehicle based on the motion information;
acquiring real-time traffic road condition information of the driving line;
detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route;
and prompting the vehicle passenger in response to the detection that the vehicle is in the abnormal driving state.
In the disclosure, the mobile terminal of the vehicle passenger detects the driving route based on the motion information of the mobile terminal, acquires the real-time traffic road condition information of the driving route, and detects whether the vehicle is in an abnormal driving state by combining the motion information of the mobile terminal, the driving route, the real-time traffic road condition information and a predetermined target driving route. And if the vehicle is detected to be in an abnormal driving state, prompting the vehicle passengers. Therefore, the mobile terminal can detect whether the vehicle is in an abnormal driving state in real time, and can prompt the vehicle passengers in time if the abnormal driving state is detected, so that the vehicle passengers have more time to deal with potential safety hazard events which may occur.
The following describes in detail a driving prompting method, a driving prompting device, an electronic device, and a storage medium provided in the embodiments of the present disclosure, respectively.
Referring to fig. 1, fig. 1 is a schematic flow chart of a driving prompting method provided in the embodiment of the present disclosure, where the method may be applied to a mobile terminal, such as a mobile phone, a tablet computer, and the like, and as shown in fig. 1, the method may include the following steps:
s101: and determining a target driving route.
In the embodiment of the disclosure, a passenger can input a destination of the taking a bus into the mobile terminal, the mobile terminal uploads the current position and the destination position to the server, and the server performs path planning according to the current position and the destination of the mobile terminal, so that a plurality of candidate driving routes can be returned. The mobile terminal displays a plurality of candidate driving routes for the passenger, and the passenger selects one of the candidate driving routes to determine the candidate driving route as a target driving route.
The passenger may then synchronize the targeted driving line to the driver of the net appointment or taxi.
S102: acquiring motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information, real-time movement speed information.
In the disclosed embodiment, the mobile terminal of the vehicle occupant may determine real-time geographic location information and movement speed information.
The moving speed can be calculated according to the position moving distance of the mobile terminal and the corresponding time.
S103: and determining the driving route of the vehicle based on the motion information.
Specifically, the driving route of the vehicle can be determined according to the real-time geographic position information of the mobile terminal and the map information stored in advance.
Specifically, the mobile terminal of the vehicle passenger matches pre-stored map information based on real-time geographic position information to determine the driving route of the vehicle.
S104: and acquiring real-time traffic road condition information of the driving line.
In the embodiment of the disclosure, the real-time traffic road condition information may include a congestion condition of a road section, a remote coefficient of the road section, a state of a traffic indication signal lamp at an intersection, and the like.
S105: and detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route.
S106: and prompting the vehicle passengers in response to the detection that the vehicle is in the abnormal driving state.
In the embodiment of the disclosure, the real-time motion information, the driving route, the real-time traffic road condition information and the target driving route can be integrated to judge whether the vehicle is in an abnormal driving state, and if the abnormal driving state occurs, the vehicle passenger is prompted in time.
In the disclosure, the mobile terminal of the vehicle passenger detects the driving route based on the motion information of the mobile terminal, acquires the real-time traffic road condition information of the driving route, and detects whether the vehicle is in an abnormal driving state by combining the motion information of the mobile terminal, the driving route, the real-time traffic road condition information and a predetermined target driving route. And if the vehicle is detected to be in an abnormal driving state, prompting the vehicle passengers. Therefore, the mobile terminal can detect whether the vehicle is in an abnormal driving state in real time, and can prompt the vehicle passengers in time if the abnormal driving state is detected, so that the vehicle passengers have more time to deal with potential safety hazard events which may occur.
In an embodiment of the present disclosure, the step of detecting whether the vehicle is in an abnormal driving state based on the motion information, the driving route, the real-time traffic road condition information, and the target driving route may include:
detecting whether the driving route deviates from the target driving route, and if so, determining that the vehicle is in an abnormal driving state; or if the driving route deviates from the target driving route, determining whether the vehicle is in an abnormal driving state or not based on the current driving time and the remote coefficient of the current deviated road section;
and/or the presence of a gas in the gas,
and detecting whether the vehicle stops or not based on the real-time movement speed information, if so, detecting whether the vehicle stops abnormally or not based on the real-time traffic road condition information of the vehicle stopping position, and if so, determining that the vehicle is in an abnormal driving state.
As an example, if the passenger starts from a and the destination is g, the passenger selects a target driving route from a plurality of candidate routes returned by the service end as a, b, c, d, e, f and g. In the driving process, the mobile terminal acquires a driving line in real time, and when the driving line is a and b1, namely yaw occurs, passengers are prompted to yaw; and when the yaw occurs and deviates from the original route by more than a certain distance, prompting the user that the yaw reaches a certain distance.
Or after the driving route is detected to deviate from the target driving route, determining whether the vehicle is in an abnormal driving state or not by combining the current driving time and the remote coefficient of the current deviated road section.
For example, if the current riding time is in the evening period and/or the remote coefficient of the current deviated road section is high, the vehicle is determined to be in the abnormal driving state. The remote coefficient of the road section can be acquired through a related platform, the higher the remote coefficient of the road section is, the less the traffic flow and the pedestrian flow of the road section are represented, the driving line of the vehicle deviates to the road section, and the potential safety hazard event is more likely to occur.
In an embodiment of the present disclosure, the step of detecting whether the vehicle is abnormally stopped based on the real-time traffic road condition information of the vehicle stopping position may specifically include:
judging whether the vehicle meets any one of the following conditions based on the real-time traffic road condition information of the vehicle stop position:
the vehicle stopping position is a non-intersection and non-congestion position, or the vehicle stopping position is an intersection position and the traffic indicating lamp does not indicate to stop;
if yes, the vehicle is determined to be abnormally stopped.
In the process of driving a taxi or a taxi in a network, the taxi is usually stopped at an intersection to wait for a traffic indicator light, or the taxi is stopped at a road jam, so in the embodiment of the disclosure, if it is detected that the stop position of the vehicle is a non-intersection and non-jam position, or the stop position of the vehicle is an intersection position and the traffic indicator light does not indicate to stop, the vehicle is indicated to be abnormally stopped, and the mobile terminal prompts a passenger if the condition is also regarded as an abnormal driving state.
For example, the mobile terminal of the vehicle passenger detects that the vehicle stops based on the real-time motion information, then judges whether the vehicle is a non-intersection based on the traffic road condition information of the current position, if so, judges whether the current position is congested based on the traffic road condition information of the current position, if so, determines that the vehicle stops at the non-intersection and non-congested position, determines that the vehicle stops abnormally, and prompts the passenger by the mobile terminal. And if the current position is judged to be the intersection based on the traffic road condition information of the current position, judging whether the traffic indicator lamp indicates to stop or not based on the traffic indicator lamp information of the current intersection, if the vehicle does not indicate to stop, determining that the vehicle stops abnormally, and prompting passengers by the mobile terminal.
When a user takes a taxi or makes an appointment on the internet, the driver, time, route and other factors have some uncontrollable risks, and particularly, the passenger arrives at a strange city. Typical risks include detour risks, personal safety risks, property safety risks, and the like.
In the disclosure, the mobile terminal of the vehicle passenger detects the driving route based on the motion information of the mobile terminal, acquires the real-time traffic road condition information of the driving route, and detects whether the vehicle is in an abnormal driving state by combining the motion information of the mobile terminal, the driving route, the real-time traffic road condition information and a predetermined target driving route. And if the vehicle is detected to be in an abnormal driving state, prompting the vehicle passengers. Therefore, the mobile terminal can detect whether the vehicle is in an abnormal driving state in real time, and can prompt the vehicle passengers in time if the abnormal driving state is detected, so that the vehicle passengers have more time to deal with potential safety hazard events which may occur.
Therefore, the problems of detour, personal injury, property loss and the like which are possibly caused under the condition that passengers take taxies or make a reservation on the internet can be well avoided.
Referring to fig. 2, fig. 2 is a block diagram of an apparatus for implementing a driving prompt method according to an embodiment of the present disclosure, and as shown in fig. 2, the apparatus may include:
the first determining module 201 is used for determining a target driving route;
a first obtaining module 202, configured to obtain motion information of a mobile terminal of a vehicle passenger, where the motion information includes: real-time geographical position information and real-time movement speed information;
the second determination module 203 is used for determining a driving route of the vehicle based on the motion information;
a second obtaining module 204, configured to obtain real-time traffic road condition information of the driving route;
a detection module 205, configured to detect whether a vehicle is in an abnormal driving state based on the motion information, the driving route, the real-time traffic road condition information, and the target driving route;
and the prompting module 206 is used for prompting the vehicle passenger in response to the detection that the vehicle is in the abnormal driving state.
In one embodiment of the present disclosure, the detection module includes a first detection submodule and/or a second detection submodule;
the first detection submodule is used for detecting whether the driving circuit deviates from the target driving circuit, and if so, determining that the vehicle is in an abnormal driving state; or if the driving route deviates from the target driving route, determining whether the vehicle is in an abnormal driving state or not based on the current driving time and the remote coefficient of the current deviated road section;
and the second detection submodule is used for detecting whether the vehicle stops or not based on the real-time movement speed information, detecting whether the vehicle stops abnormally or not based on the real-time traffic road condition information of the vehicle stopping position if the vehicle stops abnormally, and determining that the vehicle is in an abnormal driving state if the vehicle stops abnormally.
In an embodiment of the disclosure, the second detection submodule is specifically configured to:
judging whether the vehicle meets any one of the following conditions based on the real-time traffic road condition information of the vehicle stop position:
the vehicle stopping position is a non-intersection and non-congestion position, or the vehicle stopping position is an intersection position and the traffic indicating lamp does not indicate to stop;
and if so, determining that the vehicle is abnormally stopped.
In the disclosure, the mobile terminal of the vehicle passenger detects the driving route based on the motion information of the mobile terminal, acquires the real-time traffic road condition information of the driving route, and detects whether the vehicle is in an abnormal driving state by combining the motion information of the mobile terminal, the driving route, the real-time traffic road condition information and a predetermined target driving route. And if the vehicle is detected to be in an abnormal driving state, prompting the vehicle passengers. Therefore, the mobile terminal can detect whether the vehicle is in an abnormal driving state in real time, and can prompt the vehicle passengers in time if the abnormal driving state is detected, so that the vehicle passengers have more time to deal with potential safety hazard events which may occur.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
The present disclosure provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a driving prompt method.
The present disclosure provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute a driving prompt method.
The present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements a driving prompt method.
FIG. 3 illustrates a schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, 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 disclosure described and/or claimed herein.
As shown in fig. 3, the apparatus 300 includes a computing unit 301 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)302 or a computer program loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The calculation unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, or the like; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 301 executes the respective methods and processes described above, such as the driving prompt method. For example, in some embodiments, the driving advisory methods may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 300 via ROM 302 and/or communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the driving prompt method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the driving advisory method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), 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.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
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 (e.g., a mouse or a trackball) by 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. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
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 disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. 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 disclosure should be included in the scope of protection of the present disclosure.

Claims (9)

1. A driving prompting method comprises the following steps:
determining a target driving line;
acquiring motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information and real-time movement speed information;
determining a driving route of the vehicle based on the motion information;
acquiring real-time traffic road condition information of the driving line;
detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route;
and prompting the vehicle passenger in response to the detection that the vehicle is in the abnormal driving state.
2. The method of claim 1, wherein the step of detecting whether the vehicle is in an abnormal driving state based on the motion information, the driving route, the real-time traffic and road condition information and the target driving route comprises:
detecting whether the driving route deviates from the target driving route, and if so, determining that the vehicle is in an abnormal driving state; or if the driving route deviates from the target driving route, determining whether the vehicle is in an abnormal driving state or not based on the current driving time and the remote coefficient of the current deviated road section;
and/or the presence of a gas in the gas,
and detecting whether the vehicle stops or not based on the real-time movement speed information, if so, detecting whether the vehicle stops abnormally or not based on the real-time traffic road condition information of the vehicle stopping position, and if so, determining that the vehicle is in an abnormal driving state.
3. The method as claimed in claim 2, wherein the step of detecting whether the vehicle is abnormally stopped based on the real-time traffic condition information of the stopped position of the vehicle comprises:
judging whether the vehicle meets any one of the following conditions based on the real-time traffic road condition information of the vehicle stop position:
the vehicle stopping position is a non-intersection and non-congestion position, or the vehicle stopping position is an intersection position and the traffic indicating lamp does not indicate to stop;
and if so, determining that the vehicle is abnormally stopped.
4. A driving prompting device comprises:
the first determination module is used for determining a target driving line;
a first obtaining module for obtaining motion information of a mobile terminal of a vehicle passenger, the motion information including: real-time geographical position information and real-time movement speed information;
the second determination module is used for determining a driving route of the vehicle based on the motion information;
the second acquisition module is used for acquiring real-time traffic road condition information of the driving line;
the detection module is used for detecting whether the vehicle is in an abnormal driving state or not based on the motion information, the driving route, the real-time traffic road condition information and the target driving route;
and the prompting module is used for responding to the detected abnormal driving state of the vehicle and prompting the vehicle passengers.
5. The apparatus of claim 4, wherein the detection module comprises a first detection submodule, and/or a second detection submodule;
the first detection submodule is used for detecting whether the driving circuit deviates from the target driving circuit, and if so, determining that the vehicle is in an abnormal driving state; or if the driving route deviates from the target driving route, determining whether the vehicle is in an abnormal driving state or not based on the current driving time and the remote coefficient of the current deviated road section;
and the second detection submodule is used for detecting whether the vehicle stops or not based on the real-time movement speed information, detecting whether the vehicle stops abnormally or not based on the real-time traffic road condition information of the vehicle stopping position if the vehicle stops abnormally, and determining that the vehicle is in an abnormal driving state if the vehicle stops abnormally.
6. The apparatus of claim 5, wherein the second detection submodule is specifically configured to:
judging whether the vehicle meets any one of the following conditions based on the real-time traffic road condition information of the vehicle stop position:
the vehicle stopping position is a non-intersection and non-congestion position, or the vehicle stopping position is an intersection position and the traffic indicating lamp does not indicate to stop;
and if so, determining that the vehicle is abnormally stopped.
7. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
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 1-3.
8. 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 1-3.
9. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-3.
CN202111043965.5A 2021-09-07 2021-09-07 Driving prompting method and device, electronic equipment and storage medium Pending CN113742589A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108876522A (en) * 2018-06-01 2018-11-23 深圳市零度智控科技有限公司 Vehicle monitoring method, device and computer readable storage medium
CN113139482A (en) * 2021-04-28 2021-07-20 北京百度网讯科技有限公司 Method and device for detecting traffic abnormity

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108876522A (en) * 2018-06-01 2018-11-23 深圳市零度智控科技有限公司 Vehicle monitoring method, device and computer readable storage medium
CN113139482A (en) * 2021-04-28 2021-07-20 北京百度网讯科技有限公司 Method and device for detecting traffic abnormity

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