CN116403394A - Traffic accident responsibility determining method and device based on central control system and related equipment - Google Patents
Traffic accident responsibility determining method and device based on central control system and related equipment Download PDFInfo
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Abstract
The invention discloses a traffic accident responsibility determining method and device based on a central control system and related equipment. The method includes receiving an incident responsibility-defining request; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for the user terminal. The method combines the accident data with the traffic regulation knowledge graph, quickens the time for processing the traffic accident, does not need manual intervention, and can more accurately judge the accident identification responsibility.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a traffic accident responsibility determining method, a traffic accident responsibility determining device, electronic equipment and a computer storage medium based on a central control system.
Background
In the related art, when traffic police deal with traffic accidents, traffic police personnel usually need to retrieve a monitoring video to investigate so as to determine the reasons of the occurrence of the accidents to judge the responsibility of the accidents, and the traditional mode is that after the on-site investigation is finished, the traffic police personnel return to a monitoring center of a traffic police department, and then manually retrieve the monitoring video and review the monitoring video so as to finish the responsibility-setting treatment of the traffic accidents. Thus, the time for the responsibility fixing process is too long, and manual intervention is required to give the responsibility fixing scheme, so that the responsibility fixing scheme is inaccurate. Therefore, how to better realize traffic accident definition and accountability is an urgent problem to be solved.
Disclosure of Invention
The object of the present invention is to solve at least to some extent one of the above-mentioned technical problems.
Therefore, a first object of the present invention is to provide a traffic accident responsibility determining method based on a central control system, which speeds up the time for handling traffic accidents, and can determine accident responsibility more accurately without manual intervention.
To achieve the above object, an embodiment of a first aspect of the present invention provides a traffic accident responsibility determining method based on a central control system, the method includes receiving an accident responsibility determining request; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and human information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing the accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic law knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for a user terminal.
According to the traffic accident responsibility establishment method based on the central control system, which is provided by the embodiment of the invention, an accident responsibility establishment request is received; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for the user terminal. The method combines the accident data with the traffic regulation knowledge map, quickens the time for processing the traffic accident, does not need manual intervention, can more accurately judge the accident identification responsibility, and avoids the traffic jam problem caused by traffic violation accident processing delay.
According to one embodiment of the invention, the traffic information includes one or more of traffic signs, traffic markings, traffic lights.
According to an embodiment of the present invention, the acquiring a traffic law knowledge graph based on traffic information in the accident scene data includes: judging whether the traffic information exists in the accident scene data or not; if yes, a first traffic rule knowledge graph comprising the traffic information is obtained; and if not, acquiring a second traffic law knowledge graph which does not comprise the traffic information.
According to one embodiment of the present invention, the traffic law knowledge graph includes one or more preset conditions, wherein generating the electronic accident identification responsibility book based on the analysis data and the traffic law knowledge graph includes: and when judging that the analysis data meet one or more preset conditions, generating the electronic accident identification responsibility book.
According to one embodiment of the present invention, the generating an electronic accident identification responsibility book based on the analysis data and the traffic law knowledge graph includes: and combining the analysis data with the first traffic law knowledge graph and/or the second traffic law knowledge graph to generate a first electronic accident identification responsibility book and/or a second electronic accident identification responsibility book.
According to one embodiment of the invention, the electronic accident-determination responsibility book includes the identity of the accident vehicle, the name of the accident principal, the ground truth of the accident, the accident mistake and the responsibility.
According to one embodiment of the present invention, further comprising: and receiving signature verification information based on the central control system and storing the signature verification information.
To achieve the above object, a traffic onset responsibility determining apparatus based on a central control system according to an embodiment of a second aspect of the present invention includes: the receiving module is used for receiving the accident responsibility fixing request; the first acquisition module is used for determining an accident vehicle and extracting accident data corresponding to the accident vehicle, wherein the accident data comprises driving information and human information; the second acquisition module is used for acquiring accident scene data and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; the analysis module is used for analyzing the accident data based on the central control system and obtaining analysis data; the generation module is used for generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and the confirmation module is used for confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system and providing the electronic accident identification responsibility book for the user terminal.
To achieve the above object, an electronic device according to an embodiment of a third aspect of the present invention includes: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the traffic accident responsibility determining method based on the central control system according to the embodiment of the first aspect of the invention when executing the computer program.
To achieve the above object, a fourth embodiment of the present invention provides a computer readable storage medium, which when executed by a processor, implements the traffic onset responsibility determining method based on the central control system according to the first embodiment of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a traffic onset responsibility determining method based on a central control system according to an embodiment of the present invention;
fig. 2 is a flowchart of a traffic culprit responsibility determining method based on a central control system according to another embodiment of the present invention;
fig. 3 is a schematic diagram of a traffic accident responsibility determining apparatus based on a central control system according to an embodiment of the present invention;
fig. 4 is a schematic structural view of an electronic device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
Therefore, the invention provides a traffic accident responsibility determining method, a traffic accident responsibility determining device, an electronic device and a storage medium based on a central control system.
In particular, a traffic accident responsibility determining method, apparatus, electronic device and storage medium based on the central control system according to the embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a traffic accident responsibility determining method based on a central control system according to an embodiment of the present invention. It should be noted that, the traffic culprit determination method based on the central control system according to the embodiment of the present invention may be applied to the traffic culprit determination device based on the central control system according to the embodiment of the present invention, where the device may be configured on an electronic device or may be configured in a server. The electronic device may be a PC or a mobile terminal. The embodiment of the present invention is not limited thereto.
As shown in fig. 1, the traffic accident responsibility determining method based on the central control system comprises the following steps:
s110, receiving an accident responsibility fixing request.
In an embodiment of the invention, when a vehicle accident occurs, a request for accident responsibility establishment can be received by triggering a one-key responsibility establishment button in the vehicle; the accident responsibility fixing request can also be received through a voice mode, for example, when the voice of 'traffic accident occurs and automatic responsibility fixing is requested', the accident responsibility fixing request can be regarded as being received.
In one embodiment of the invention, based on the connection between the vehicle and the terminal equipment, the vehicle data can be transmitted to the terminal equipment in real time, and when the vehicle has an accident, the responsibility fixing button of the terminal equipment can be triggered to receive the accident responsibility fixing request.
S120, determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information.
The driving information includes, but is not limited to, vehicle speed, steering wheel angle, engine speed, engine load, indoor and outdoor temperatures, etc.
The human information includes, but is not limited to, face information, foot information, etc., wherein whether the driver is tired can be determined through the face information, and whether the driver suddenly steps on the brake can be determined through the foot information. For example, whether the driver is in fatigue driving may be determined by the number of yawns, the number of blinks, and the number of nods in the face information, and for example, when the number of yawns exceeds the number threshold, the driver may be determined to be in fatigue driving.
In embodiments of the invention, an accident vehicle may be determined from in-vehicle DVR video and/or in-vehicle AVM video acquisition data, and accident data extracted from the accident vehicle.
S130, acquiring accident scene data and acquiring a traffic law knowledge graph based on traffic information in the accident scene data.
In an embodiment of the present invention, accident scene data may be obtained from on-vehicle DVR video and/or on-vehicle AVM video data, for example, accident scene data 3 minutes before and after an accident may be obtained from DVR video and/or AVM video data, traffic information may be determined from the accident scene data, and a traffic law knowledge graph may be obtained based on the traffic information.
Wherein the traffic information comprises one or more of traffic signs, traffic markings and traffic lights.
As shown in fig. 2, the method for obtaining the traffic law knowledge graph based on traffic information in accident scene data specifically includes:
s210, judging whether traffic information exists in the accident scene data.
And S220, if yes, acquiring a first traffic rule knowledge graph comprising traffic information.
And S230, if not, acquiring a second traffic law knowledge graph which does not comprise traffic information.
It should be noted that, the first traffic law knowledge graph and the second traffic law knowledge graph may be stored in advance in the vehicle-mounted terminal or the cloud terminal, when the first traffic law knowledge graph and the second traffic law knowledge graph are stored in the cloud terminal, the vehicle-mounted terminal may transmit vehicle data to the cloud terminal in real time based on connection between the vehicle-mounted terminal and the cloud terminal, and when the cloud terminal determines that an accident occurs based on the vehicle data, the first traffic law knowledge graph and the second traffic law knowledge graph are issued to the vehicle-mounted terminal.
S140, analyzing accident data based on the central control system to obtain analysis data.
In the embodiment of the invention, after accident data are determined, the central control system can analyze the accident data to determine whether the accident is caused by the vehicle or artificial reasons, so as to obtain analysis data.
For example, when face information of the driver is analyzed to be fatigue driving based on the human information in the accident data, the cause of the accident can be determined to be human cause; for another example, based on the combination of the driving information in the accident data and the data of each sensor, when the intersection turns at the accident place, the vehicle suddenly runs out of control and accelerates, and then the accident occurrence reason can be determined as the vehicle self-cause.
And S150, generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph.
The traffic law knowledge graph comprises one or more preset conditions.
In the embodiment of the invention, when the analysis data is judged to meet one or more preset conditions, an accident identification responsibility book is generated.
For example, when the traffic law knowledge graph includes a preset condition, the accident responsibility determination and identification book can be generated when the analysis data is judged to meet the preset condition; when the traffic rule knowledge graph comprises a plurality of preset conditions, and the analysis data are judged to meet the plurality of preset conditions, an electronic accident responsibility-defining and identifying book can be generated.
The electronic accident identification responsibility book comprises, but is not limited to, identification of accident vehicles, names of accident parties, basic facts of accidents, accident mistakes and responsibilities.
In one embodiment of the present invention, the analysis data may be combined with the first traffic law knowledge graph and/or the second traffic law knowledge graph based on the analysis data to generate the first electronic accident identification responsibility book and/or the second electronic accident identification responsibility book.
S160, confirming an electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book to the user terminal.
In the embodiment of the invention, after the electronic accident identification responsibility book is provided for the user terminal, the signature certification information is received based on the central control system, and the signature certification information is stored.
That is, after the electronic accident-recognizing responsibility book is provided to the user terminal, the user terminal does not have objection to the electronic accident-recognizing responsibility book, and can sign on the electronic accident-recognizing responsibility book, and then the central control system receives the signature certification information and stores the signature certification information.
In one embodiment of the invention, the signed electronic incident identification liability book is available for subsequent insurance matters.
According to the traffic accident responsibility establishment method based on the central control system, which is provided by the embodiment of the invention, an accident responsibility establishment request is received; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for the user terminal. The method combines the accident data with the traffic regulation knowledge map, quickens the time for processing the traffic accident, does not need manual intervention, can more accurately judge the accident identification responsibility, and avoids the traffic jam problem caused by traffic violation accident processing delay.
In correspondence with the traffic culprit allocation method based on the central control system provided by the above embodiments, an embodiment of the present invention further provides a traffic culprit allocation device based on the central control system, and since the traffic culprit allocation device based on the central control system provided by the embodiment of the present invention corresponds to the traffic culprit allocation method based on the central control system provided by the above embodiments, implementation of the traffic culprit allocation method based on the central control system is also applicable to the traffic culprit allocation device based on the central control system provided by the embodiment, which is not described in detail in the present embodiment. Fig. 3 is a schematic diagram of a traffic accident responsibility determining apparatus based on a central control system according to an embodiment of the present invention.
As shown in fig. 3, the traffic accident responsibility determining device based on the central control system comprises: a receiving module 310, a first obtaining module 320, a second obtaining module 330, a parsing module 340, a generating module 350, and a confirming module 360, wherein,
a receiving module 310, configured to receive an accident responsibility fixing request;
a first obtaining module 320, configured to determine an accident vehicle and extract accident data corresponding to the accident vehicle, where the accident data includes driving information and human information;
a second obtaining module 330, configured to obtain accident scene data, and obtain a traffic law knowledge graph based on traffic information in the accident scene data;
the parsing module 340 is configured to parse the accident data based on the central control system, and obtain parsed data;
the generating module 350 is configured to generate an electronic accident identification responsibility book based on the analysis data and the traffic law knowledge graph; and
and a confirmation module 360, configured to confirm the electronic accident-confirmation responsibility book by the accident vehicle based on the central control system, and provide the electronic accident-confirmation responsibility book to a user terminal.
According to the traffic accident responsibility fixing device based on the central control system, which is provided by the embodiment of the invention, an accident responsibility fixing request is received; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for the user terminal. Therefore, the accident data and the traffic regulation knowledge graph are combined, the time for processing traffic accidents is shortened, manual intervention is not needed, the accident identification responsibility can be accurately judged, and the traffic jam problem caused by traffic violation accident processing delay is avoided.
In one embodiment of the invention, the traffic information includes one or more of traffic signs, traffic markings, traffic lights.
In one embodiment of the present invention, the second obtaining module 330 is specifically configured to determine whether the traffic information is included in the accident scene data; if yes, a first traffic rule knowledge graph comprising the traffic information is obtained; and if not, acquiring a second traffic law knowledge graph which does not comprise the traffic information.
In one embodiment of the present invention, the traffic law knowledge graph includes one or more preset conditions, where the generating module 350 is specifically configured to generate the electronic accident identification responsibility book when determining that the analysis data meets one or more of the preset conditions.
In one embodiment of the present invention, the generating module 350 is specifically configured to combine the analysis data with the first traffic law knowledge graph and/or the second traffic law knowledge graph to generate a first electronic accident identification responsibility book and/or a second electronic accident identification responsibility book.
In one embodiment of the invention, the electronic accident-determination responsibility book includes the identity of the accident vehicle, the name of the accident principal, the ground truth of the accident, the accident mistake and the responsibility.
In one embodiment of the present invention, the electronic device further includes a storage module for receiving signature verification information based on the central control system and storing the signature verification information.
Referring now to fig. 4, a schematic diagram of an electronic device 400 (e.g., a terminal device or server of fig. 1) suitable for implementing an embodiment of the present invention is shown. The electronic device in the embodiment of the present invention may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a car-mounted terminal (e.g., car navigation terminal), etc., and a stationary terminal such as a digital TV, a desktop computer, etc. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the invention.
As shown in fig. 4, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic device 400 are also stored. The processing device 401, the ROM402, and the RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
In general, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 shows an electronic device 400 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present invention, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communications device 409, or from storage 408, or from ROM 402. The above-described functions defined in the method of the embodiment of the present invention are performed when the computer program is executed by the processing means 401.
The computer readable medium of the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having 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. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving an accident responsibility fixing request; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for the user terminal.
Alternatively, the computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: receiving an accident responsibility fixing request; determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and artificial information; acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data; analyzing accident data based on the central control system to obtain analysis data; generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for the user terminal.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. 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). It should also be noted that, 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.
The units involved in the embodiments of the present invention may be implemented in software or in hardware. The name of the unit does not in any way constitute a limitation of the unit itself, for example the first acquisition unit may also be described as "unit acquiring at least two internet protocol addresses".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of the present invention, 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. The 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.
The above description is only illustrative of the preferred embodiments of the present invention and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present invention is not limited to the specific combinations of technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present invention (but not limited to) having similar functions are replaced with each other.
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the invention. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.
Claims (10)
1. A traffic onset responsibility determining method based on a central control system, the method comprising:
receiving an accident responsibility fixing request;
determining accident vehicles and extracting accident data corresponding to the accident vehicles, wherein the accident data comprises driving information and human information;
acquiring accident scene data, and acquiring a traffic law knowledge graph based on traffic information in the accident scene data;
analyzing the accident data based on the central control system to obtain analysis data;
generating an electronic accident identification responsibility book based on the analysis data and the traffic law knowledge graph;
and confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system, and providing the electronic accident identification responsibility book for a user terminal.
2. The traffic culprit determination method based on a central control system according to claim 1, wherein the traffic information comprises one or more of traffic signs, traffic markings and traffic lights.
3. The traffic culprit determination method based on a central control system according to claim 1, wherein the acquiring a traffic law knowledge graph based on traffic information in the accident scene data comprises:
judging whether the traffic information exists in the accident scene data or not;
if yes, a first traffic rule knowledge graph comprising the traffic information is obtained;
and if not, acquiring a second traffic law knowledge graph which does not comprise the traffic information.
4. The traffic culprit determination method based on a central control system according to claim 1, wherein the traffic law knowledge graph comprises one or more preset conditions, wherein generating an electronic accident determination responsibility book based on the analysis data and the traffic law knowledge graph comprises:
and when judging that the analysis data meet one or more preset conditions, generating the electronic accident identification responsibility book.
5. The traffic onset responsibility determining method based on the central control system according to claims 1-4, wherein said generating an electronic accident assessment responsibility book based on said analysis data and said traffic law knowledge-graph comprises:
and combining the analysis data with the first traffic law knowledge graph and/or the second traffic law knowledge graph to generate a first electronic accident identification responsibility book and/or a second electronic accident identification responsibility book.
6. The traffic culprit determination method based on a central control system according to claim 1, wherein the electronic accident determination responsibility book comprises the identification of the accident vehicle, the name of the accident principal, the basic facts of the accident, the accident miss and responsibility.
7. The traffic culprit determination method based on a central control system according to claim 1, further comprising: and receiving signature verification information based on the central control system and storing the signature verification information.
8. A traffic onset responsibility determining apparatus based on a central control system, said apparatus comprising:
the receiving module is used for receiving the accident responsibility fixing request;
the first acquisition module is used for determining an accident vehicle and extracting accident data corresponding to the accident vehicle, wherein the accident data comprises driving information and human information;
the second acquisition module is used for acquiring accident scene data and acquiring a traffic law knowledge graph based on traffic information in the accident scene data;
the analysis module is used for analyzing the accident data based on the central control system and obtaining analysis data;
the generation module is used for generating an electronic accident identification responsibility book based on the analysis data and the traffic rule knowledge graph; and
and the confirmation module is used for confirming the electronic accident identification responsibility book by the accident vehicle based on the central control system and providing the electronic accident identification responsibility book for the user terminal.
9. 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 central control system-based traffic onset method according to any one of claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the central control system-based traffic onset responsibility method according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211551739.2A CN116403394A (en) | 2022-12-05 | 2022-12-05 | Traffic accident responsibility determining method and device based on central control system and related equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211551739.2A CN116403394A (en) | 2022-12-05 | 2022-12-05 | Traffic accident responsibility determining method and device based on central control system and related equipment |
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| Publication Number | Publication Date |
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| CN116403394A true CN116403394A (en) | 2023-07-07 |
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| CN202211551739.2A Pending CN116403394A (en) | 2022-12-05 | 2022-12-05 | Traffic accident responsibility determining method and device based on central control system and related equipment |
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| Country | Link |
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| CN (1) | CN116403394A (en) |
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