Traffic accident evidence obtaining method and device, electronic equipment and storage medium
Through high-precision maps and vehicle-road cloud integrated system, the problem of inefficiency of traditional evidence collection methods is solved, and a fast and reliable process of evidence collection and responsibility determination of traffic accidents is achieved.
Patent Information
- Application Number
- CN202411247445.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-06
- Publication Date
- 2025-01-07
AI Technical Summary
Traditional traffic accident evidence collection methods are inefficient and rely on manual search of roadside monitoring and driving recorders, which leads to difficulty in determining responsibilities and time-consuming and labor-consuming.
By receiving evidence collection requests from traffic police terminal equipment, using high-precision maps and vehicle-road cloud integrated system, it automatically collects traffic participants, connected vehicles, signal light status and video data within the accident location and time range to integrate and verify data , generate a basis for law enforcement.
It greatly improves the law enforcement efficiency of traffic police, reduces workload, and can quickly identify environmental vehicles and witness vehicles around the accident site without roadside monitoring, providing a reliable link of evidence.
Smart Images

Figure CN119274328A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of traffic management technology, and in particular to a method, device, electronic device and storage medium for collecting evidence of a traffic accident. Background Art
[0002] With the acceleration of urbanization and the continuous growth of car ownership, the number of traffic accidents has also increased accordingly. The traditional way of collecting evidence and determining responsibility for accidents often relies on manual search of roadside fixed surveillance, driving recorders, on-site investigations, evidence collection and statements of the parties involved. This is not only time-consuming and labor-intensive, but also inefficient. In some cases, it may be difficult to determine responsibility due to insufficient evidence or large disputes. Summary of the invention
[0003] In order to solve the above technical problems, the present application provides a traffic accident evidence collection method, device, electronic device and storage medium.
[0004] According to a first aspect of the present application, a method for collecting evidence of a traffic accident is provided, comprising:
[0005] Receiving a request for evidence collection sent by a terminal device used by a traffic police, wherein the request for evidence collection includes: the location and time of the accident;
[0006] Determine the specific road section where the accident occurred and the driving direction of the accident vehicle based on the positional relationship between the accident location and the road section in the high-precision map;
[0007] Based on the topological relationship between the upstream and downstream of the specific road section in the high-precision map and the driving direction of the accident vehicle, the road sections and areas within a preset distance upstream and downstream of the specific road section are taken as the spatial range;
[0008] The time range is a preset period of time before and after the accident;
[0009] Querying the target database for accident-related data within the spatial range and the time range;
[0010] The accident-related data is sent to the terminal device so as to play back the accident-related data on the terminal device.
[0011] Optionally, querying the target database for accident-related data within the spatial range and the time range includes:
[0012] querying the target database for the traffic participants and the operation data of the traffic participants captured by the roadside sensing device within the spatial range and the time range; and,
[0013] Querying the target database for the networked vehicles connected to the platform within the spatial range and the time range and the operation data of the networked vehicles; and,
[0014] Querying the target database for the signal light controller within the spatial range and the signal light status data within the time range; and
[0015] Querying the target database for video data of cameras within the spatial range and within the time range;
[0016] The operation data of the traffic participants, the operation data of the networked vehicles, the signal light status data and the video data are integrated to obtain integrated data, and the integrated data is used as the accident-related data within the spatial range and the time range.
[0017] Optionally, before querying the target database for accident-related data within the spatial range and the time range, the method further includes:
[0018] Acquire equipment information of roadside equipment in each road section in the target area, and receive road traffic environment information sent by the roadside equipment and collected in real time by the roadside equipment;
[0019] Obtain the signal light status data of the signal light controller in the target area;
[0020] The equipment information of the roadside equipment, the collected road traffic environment information, and the signal light status data are stored in the target database.
[0021] Optionally, the traffic accident evidence collection method further includes:
[0022] Before storing the equipment information of the roadside equipment and the collected road traffic environment information, and the signal light status data in the target database, performing data verification, data cleaning and data formatting on the road traffic environment information and the signal light status data to obtain processed data;
[0023] The storing the equipment information of the roadside equipment and the collected road traffic environment information, as well as the signal light status data into the target database specifically includes:
[0024] The equipment information of the roadside equipment and the processed data are stored in the target database.
[0025] Optionally, the operation data of the traffic participants, the operation data of the networked vehicles, the signal light status data and the video data are integrated to obtain the integrated data, including:
[0026] The operation data of the traffic participants, the operation data of the connected vehicles, the signal light status data and the video data are deduplicated, sorted and correlated to obtain integrated data.
[0027] Optionally, the traffic accident evidence collection method further includes:
[0028] Before data verification, data cleaning and data formatting are performed on the road traffic environment information and the signal light status data, denoising, outlier processing and time synchronization processing are performed on the road traffic environment information and the signal light status data to obtain pre-processed data;
[0029] The data verification, data cleaning and data formatting of the road traffic environment information and the signal light status data specifically include:
[0030] The pre-processed data is subjected to data verification, data cleaning and data formatting.
[0031] Optionally, the traffic accident evidence collection method further includes:
[0032] According to the data quality of the road traffic environment information and the signal light status data, as well as the system operation status, a data collection strategy is set, and the roadside equipment and the signal light controller are controlled to collect data according to the collection strategy.
[0033] According to a second aspect of the present application, a traffic accident evidence collection device is provided, comprising:
[0034] The evidence collection request receiving module is used to receive the evidence collection request sent by the terminal device used by the traffic police, wherein the evidence collection request includes: the location and time of the accident;
[0035] A road section and driving direction determination module, used to determine the specific road section where the accident occurred and the driving direction of the accident vehicle according to the positional relationship between the accident location and the road section in the high-precision map;
[0036] A spatial range determination module, for determining the road sections and areas within a preset distance upstream and downstream of the specific road section as the spatial range based on the topological relationship between the upstream and downstream of the specific road section in the high-precision map and the driving direction of the accident vehicle;
[0037] A time range determination module, used to set a preset time period before and after the accident occurrence time as the time range;
[0038] A data query module, used for querying accident-related data within the spatial range and the time range from a target database;
[0039] The data sending module is used to send the accident-related data to the terminal device so as to play back the accident-related data on the terminal device.
[0040] Optionally, the data query module is specifically used to query from the target database the traffic participants captured by the roadside sensing equipment within the spatial range and the time range and the operating data of the traffic participants; and, to query from the target database the connected vehicles connected to the platform within the spatial range and the time range and the operating data of the connected vehicles; and, to query from the target database the signal light status data of the signal light controller within the spatial range and the time range; and, to query from the target database the video data of the camera within the spatial range and the time range; integrate the operating data of the traffic participants, the operating data of the connected vehicles, the signal light status data and the video data to obtain integrated data, and use the integrated data as the accident-related data within the spatial range and the time range.
[0041] Optionally, the traffic accident evidence collection device further includes:
[0042] A data acquisition module is used to acquire device information of roadside equipment in each road section in the target area, and receive road traffic environment information sent by the roadside equipment and collected by the roadside equipment in real time; and acquire signal light status data of signal light controllers in the target area;
[0043] The data storage module is used to store the equipment information of the roadside equipment, the collected road traffic environment information, and the signal light status data into the target database.
[0044] Optionally, the traffic accident evidence collection device further includes:
[0045] A data processing module, used for performing data verification, data cleaning and data formatting on the road traffic environment information and the signal light status data before storing the equipment information of the roadside equipment and the collected road traffic environment information and the signal light status data in the target database to obtain processed data;
[0046] The data storage module is specifically used to store the equipment information of the roadside equipment and the processed data in the target database.
[0047] Optionally, the data query module is specifically used to integrate the operation data of the traffic participants, the operation data of the networked vehicles, the signal light status data and the video data to obtain the integrated data in the following manner:
[0048] The operation data of the traffic participants, the operation data of the connected vehicles, the signal light status data and the video data are deduplicated, sorted and correlated to obtain integrated data.
[0049] Optionally, the traffic accident evidence collection device further includes:
[0050] A data preprocessing module, used for performing denoising, outlier processing and time synchronization processing on the road traffic environment information and the signal light status data before performing data verification, data cleaning and data formatting on the road traffic environment information and the signal light status data to obtain preprocessed data;
[0051] The data processing module is specifically used to perform data verification, data cleaning and data formatting on the pre-processed data.
[0052] Optionally, the traffic accident evidence collection device further includes:
[0053] The collection strategy control module is used to set the data collection strategy according to the data quality of the road traffic environment information and the signal light status data, as well as the system operation status, and control the roadside equipment and the signal light controller to collect data according to the collection strategy.
[0054] According to a third aspect of the present application, an electronic device is provided, comprising: a processor, wherein the processor is configured to execute a computer program stored in a memory, wherein the computer program implements the method described in the first aspect when executed by the processor.
[0055] According to a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method described in the first aspect is implemented.
[0056] According to a fifth aspect of the present application, a computer program product is provided. When the computer program product is run on a computer, the computer is enabled to execute the method described in the first aspect.
[0057] Compared with the prior art, the technical solution provided by the embodiments of the present application has the following advantages:
[0058] After the traffic police receives the alarm information, they generate a forensic request based on the location and time of the accident, and send the service request to the cloud through the terminal device. The cloud makes full use of the rich road network attributes of the high-precision map and the rich data of the cloud control basic platform in the vehicle-road-cloud integrated system, and automatically collects accident-related data based on the judgment of time and space relationships. For example, the trajectory fragments and operating status of key vehicles and environmental vehicles, as well as nearby surveillance videos, traffic light status data, etc. The accident-related data is sent to the terminal device, and the traffic police can play back the accident-related data on the terminal device, thereby providing the traffic police with a basis for law enforcement. Compared with the traditional manual forensics method, it can reduce the workload of the traffic police and greatly improve the law enforcement efficiency of the traffic police. BRIEF DESCRIPTION OF THE DRAWINGS
[0059] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0060] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0061] Figure 1 A flow chart of a method for collecting evidence of a traffic accident in an embodiment of the present application;
[0062] Figure 2 A schematic diagram of the structure of a traffic accident evidence collection device in an embodiment of the present application;
[0063] Figure 3 A schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION
[0064] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the scheme of the present application will be further described below. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.
[0065] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only part of the embodiments of the present application, rather than all of the embodiments.
[0066] At present, although there are many surveillance cameras covering intersections in cities, the surveillance cameras that locate the accident site often need to rely on human experience for manual search. In the absence of roadside surveillance, other means such as driving recorders are needed to obtain evidence. The content of driving recorders is provided by the parties or the drivers of the vehicles that witnessed the environment. The police need to go to the scene or the parties need to go to the accident handling center to extract evidence, which is inefficient. If the vehicle involved does not have a trip recorder, it is necessary to rely on other witnessing vehicle drivers to provide recorder videos or oral testimonies, resulting in low efficiency in evidence collection and determination of responsibility.
[0067] See also Figure 1 , Figure 1 A flow chart of a traffic accident evidence collection method in an embodiment of the present application may include the following steps:
[0068] Step S102, receiving a request for evidence collection sent by a terminal device used by a traffic police, wherein the request for evidence collection includes: the location and time of the accident.
[0069] When the traffic police receive a traffic accident alarm, the caller usually informs the traffic police of the location and time of the accident. The terminal device used by the traffic police is equipped with an interactive interface for handling traffic accidents, in which the traffic police can enter the location and time of the accident. The interactive interface generates a forensic request based on the location and time of the accident and sends the forensic request to the cloud.
[0070] Step S104, determining the specific road section where the accident occurred and the travel direction of the accident vehicle based on the positional relationship between the accident site and the road section in the high-precision map.
[0071] After receiving the evidence collection request, the cloud loads the high-precision map and determines the positional relationship (such as distance, angle, etc.) between the accident site and the road section in the high-precision map based on the road topology in the high-precision map. Then, based on the positional relationship, the specific road section where the accident site is located and the driving direction of the accident vehicle are determined.
[0072] Step S106, based on the topological relationship between the upstream and downstream of the specific road section in the high-precision map and the driving direction of the accident vehicle, the sections and areas within a preset distance upstream and downstream of the specific road section are taken as the spatial range.
[0073] Step S108: taking the preset time periods before and after the accident occurrence time as the time range.
[0074] Step S110, querying accident-related data within a spatial range and a temporal range from a target database.
[0075] Within the above-determined spatial range and time range, the data related to the accident, i.e., the accident-related data, is queried from the target database. The target database is a database that is continuously updated in real time. Roadside equipment (sensors such as cameras and radars), signal light controllers, etc. continuously collect data and upload the collected data to the target database. Optionally, before querying the accident-related data within the spatial range and time range from the target database, the equipment information of the roadside equipment in each road section in the target area can be obtained. For example, the equipment ID, location coordinates, installation angle and other information are obtained through API (application programming interface) or communication protocol. Receive the road traffic environment information sent by the roadside equipment and collected by the roadside equipment in real time, such as vehicle location, speed, driving direction, obstacle information, etc. Obtain the signal light status data of the signal light controller in the target area, such as red light, green light, yellow light, etc. Store the equipment information of the roadside equipment and the collected road traffic environment information, as well as the signal light status data in the target database.
[0076] Optionally, before storing the equipment information of the roadside equipment and the collected road traffic environment information, as well as the signal light status data in the target database, the road traffic environment information and the signal light status data are subjected to data verification, data cleaning and data formatting to obtain processed data, and the equipment information of the roadside equipment and the processed data are stored in the target database. Data verification may include checking the integrity, consistency (for example, whether the data conforms to the expected format or range) and correctness of the data. Data cleaning may include: removing duplicate data, filling in missing values, converting data types (such as converting strings to numeric types), etc. Data formatting may include: converting data into a unified format or structure within the system. Through the above data processing process, the overall consistency of the data can be guaranteed and the efficiency of subsequent data queries can be improved.
[0077] Before data verification, data cleaning and data formatting of the road traffic environment information and signal light status data, the road traffic environment information and signal light status data can also be subjected to denoising, outlier processing and time synchronization processing (ensuring the time consistency of data from different sources) to obtain pre-processed data. Then, data verification, data cleaning and data formatting are performed on the pre-processed data.
[0078] During the preprocessing process, you can also capture exception information, determine the exception type, execute corresponding error handling strategies, including retry mechanisms, fault alarms, etc., and record exception logs for subsequent analysis.
[0079] Optionally, a data collection strategy can be set according to the data quality of the road traffic environment information and the signal light status data, and the system operation status (whether the entire link is operating normally, etc.), and the roadside equipment and the signal light controller can be controlled to collect data according to the collection strategy. For example, when the data quality of the road traffic environment information and the signal light status data is poor, the frequency of data collection can be increased, and when the data quality of the road traffic environment information and the signal light status data is good, the frequency of data collection can be reduced.
[0080] Optionally, the target database may be queried for traffic participants and their operating data captured by roadside perception devices within the spatial scope and time range; and the target database may be queried for connected vehicles connected to the platform within the spatial scope and time range and their operating data (such as positioning, speed, direction, etc.); and the target database may be queried for traffic light controllers within the spatial scope and traffic light status data within the time range; and the target database may be queried for cameras within the spatial scope and video data within the time range.
[0081] Afterwards, the operating data of traffic participants, the operating data of connected vehicles, the traffic light status data and the video data are integrated to obtain integrated data, forming a complete spatiotemporal data set, and the integrated data is used as accident-related data within the spatial and temporal scope.
[0082] Optionally, the operating data of traffic participants, the operating data of connected vehicles, the traffic light status data and the video data are deduplicated, sorted and correlated to obtain integrated data.
[0083] Step S112, sending the accident-related data to the terminal device so as to play back the accident-related data on the terminal device.
[0084] In the embodiment of the present application, after integrating all the queried accident-related data (including vehicle trajectory, pedestrian location, traffic light status, etc.), data verification can also be performed to ensure the accuracy and integrity of the data. The integrated and verified data is packaged and compressed in a predetermined format for easy transmission and storage. An encryption algorithm is selected to encrypt the data and generate an encrypted data packet. The packaged and encrypted data is sent to the traffic police department via the selected network connection and transmission protocol, and the transmission process is monitored and the transmission log is recorded.
[0085] The traffic accident evidence collection method of the embodiment of the present application utilizes the rich road network attributes of high-precision maps, combined with the high-precision positioning data reported in real time by networked vehicles, and can identify the environmental vehicle information around the accident point when the accident occurs without relying on roadside cameras, radars and other equipment, and can quickly find witnessed vehicles without roadside cameras. Make full use of the rich data of the cloud control basic platform in the vehicle-road-cloud integrated system, based on the judgment of time and space relationships, automatically collect the trajectory fragments and operating status of key vehicles and environmental vehicles, as well as nearby surveillance videos and traffic light data, automatically package the chain of evidence, and provide a basis for law enforcement for traffic police. Compared with traditional manual evidence collection methods, it can reduce workload and greatly improve the law enforcement efficiency of traffic police.
[0086] It should be noted that although the steps of the method in the present application are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.
[0087] Corresponding to the above method embodiment, the present application embodiment also provides a traffic accident evidence collection device, see Figure 2 , the traffic accident evidence collection device 200 comprises:
[0088] The evidence collection request receiving module 202 is used to receive the evidence collection request sent by the terminal device used by the traffic police, wherein the evidence collection request includes: the location and time of the accident;
[0089] The road section and driving direction determination module 204 is used to determine the specific road section where the accident occurred and the driving direction of the accident vehicle according to the positional relationship between the accident location and the road section in the high-precision map;
[0090] The spatial range determination module 206 is used to determine the road sections and areas within a preset distance upstream and downstream of the specific road section as the spatial range based on the topological relationship between the upstream and downstream of the specific road section in the high-precision map and the driving direction of the accident vehicle;
[0091] A time range determination module 208, for taking a preset time period before and after the time of the accident as the time range;
[0092] A data query module 210 is used to query accident-related data within a spatial range and a temporal range from a target database;
[0093] The data sending module 212 is used to send the accident related data to the terminal device so as to play back the accident related data on the terminal device.
[0094] Optionally, the data query module 210 is specifically used to query the traffic participants and the operating data of the traffic participants captured by the roadside perception equipment within the spatial scope and time range from the target database; and, to query the connected vehicles and the operating data of the connected vehicles connected to the platform within the spatial scope and time range from the target database; and, to query the signal light controllers within the spatial scope and the signal light status data within the time range from the target database; and, to query the cameras within the spatial scope and the video data within the time range from the target database; integrate the operating data of the traffic participants, the operating data of the connected vehicles, the signal light status data and the video data to obtain integrated data, and use the integrated data as the accident-related data within the spatial scope and time range.
[0095] Optionally, the traffic accident evidence collection device 200 further includes:
[0096] A data acquisition module is used to acquire device information of roadside equipment in each road section in the target area, and receive road traffic environment information sent by the roadside equipment and collected in real time by the roadside equipment; and acquire signal light status data of signal light controllers in the target area;
[0097] The data storage module is used to store the equipment information of the roadside equipment, the collected road traffic environment information, and the signal light status data into the target database.
[0098] Optionally, the traffic accident evidence collection device 200 further includes:
[0099] A data processing module is used to verify, clean and format the road traffic environment information and the signal light status data before storing the equipment information of the roadside equipment and the collected road traffic environment information and the signal light status data in the target database to obtain processed data;
[0100] The data storage module is specifically used to store the equipment information of the roadside equipment and the processed data into the target database.
[0101] Optionally, the data query module 210 is specifically used to integrate the operation data of the traffic participants, the operation data of the networked vehicles, the signal light status data and the video data to obtain the integrated data in the following manner:
[0102] The operating data of traffic participants, the operating data of connected vehicles, the traffic light status data and the video data are deduplicated, sorted and correlated to obtain integrated data.
[0103] Optionally, the traffic accident evidence collection device 200 further includes:
[0104] A data preprocessing module is used to perform denoising, outlier processing and time synchronization processing on the road traffic environment information and the signal light status data before performing data verification, data cleaning and data formatting on the road traffic environment information and the signal light status data to obtain preprocessed data;
[0105] The data processing module is specifically used to perform data verification, data cleaning and data formatting on the pre-processed data.
[0106] Optionally, the traffic accident evidence collection device 200 further includes:
[0107] The collection strategy control module is used to set the data collection strategy according to the data quality of the road traffic environment information and the signal light status data, as well as the system operation status, and control the roadside equipment and the signal light controller to collect data according to the collection strategy.
[0108] The specific details of each module or unit in the above device have been described in detail in the corresponding method, so they will not be repeated here.
[0109] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.
[0110] The present application also provides an electronic device, see Figure 3 , Figure 3 The electronic device of the embodiment of the present application includes: a processor 301, a communication interface 302, a memory 303 and a communication bus 304, wherein the processor 301, the communication interface 302, and the memory 303 communicate with each other through the communication bus 304;
[0111] Memory 303, used for storing computer programs;
[0112] The processor 301 is used to implement the above-mentioned traffic accident evidence collection method when executing the program stored in the memory 303.
[0113] It should be noted that the communication bus 304 mentioned in the above electronic device can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0114] The communication interface 302 is used for communication between the electronic device and other devices.
[0115] The memory 303 may include a RAM (Random Access Memory), or may include a non-volatile memory, such as at least one disk memory. Optionally, the memory 303 may also be at least one storage device located away from the aforementioned processor.
[0116] The above-mentioned processor 301 can be a general-purpose processor, including: CPU (Central Processing Unit), NP (Network Processor), etc.; it can also be DSP (Digital Signal Processing), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
[0117] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned traffic accident evidence collection method is implemented.
[0118] It should be noted that the computer-readable storage medium shown in the present application may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, radio frequency, etc., or any suitable combination of the above.
[0119] In an embodiment of the present application, a computer program product is also provided. When the computer program product is run on a computer, the computer executes the above-mentioned traffic accident evidence collection method.
[0120] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0121] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A traffic accident evidence collection method, characterized in that: include: Receiving a request for evidence collection sent by a terminal device used by a traffic police, wherein the request for evidence collection includes: the location and time of the accident; Determine the specific road section where the accident occurred and the driving direction of the accident vehicle based on the positional relationship between the accident location and the road section in the high-precision map; Based on the topological relationship between the upstream and downstream of the specific road section in the high-precision map and the driving direction of the accident vehicle, the road sections and areas within a preset distance upstream and downstream of the specific road section are taken as the spatial range; The time range is a preset period of time before and after the accident; Querying the target database for accident-related data within the spatial range and the time range; The accident-related data is sent to the terminal device so as to play back the accident-related data on the terminal device.
2. The method according to claim 1, characterized in that The querying of the target database for accident-related data within the spatial range and the time range includes: querying the target database for the traffic participants and the operation data of the traffic participants captured by the roadside sensing device within the spatial range and the time range; and, Querying the target database for the networked vehicles connected to the platform within the spatial range and the time range and the operation data of the networked vehicles; and, Querying the target database for the signal light controller within the spatial range and the signal light status data within the time range; and Querying the target database for video data of cameras within the spatial range and within the time range; The operation data of the traffic participants, the operation data of the networked vehicles, the signal light status data and the video data are integrated to obtain integrated data, and the integrated data is used as the accident-related data within the spatial range and the time range.
3. The method according to claim 1, characterized in that Before querying the target database for accident-related data within the spatial range and the time range, the method further includes: Acquire equipment information of roadside equipment in each road section in the target area, and receive road traffic environment information sent by the roadside equipment and collected in real time by the roadside equipment; Obtain the signal light status data of the signal light controller in the target area; The equipment information of the roadside equipment, the collected road traffic environment information, and the signal light status data are stored in the target database.
4. The method according to claim 3, characterized in that The method further comprises: Before storing the equipment information of the roadside equipment and the collected road traffic environment information, and the signal light status data in the target database, performing data verification, data cleaning and data formatting on the road traffic environment information and the signal light status data to obtain processed data; The storing the equipment information of the roadside equipment and the collected road traffic environment information, as well as the signal light status data into the target database specifically includes: The equipment information of the roadside equipment and the processed data are stored in the target database.
5. The method according to claim 1, characterized in that The step of integrating the operation data of the traffic participants, the operation data of the networked vehicles, the signal light status data and the video data to obtain integrated data includes: The operation data of the traffic participants, the operation data of the connected vehicles, the signal light status data and the video data are deduplicated, sorted and correlated to obtain integrated data.
6. The method according to claim 4, characterized in that The method further comprises: Before data verification, data cleaning and data formatting are performed on the road traffic environment information and the signal light status data, denoising, outlier processing and time synchronization processing are performed on the road traffic environment information and the signal light status data to obtain pre-processed data; The data verification, data cleaning and data formatting of the road traffic environment information and the signal light status data specifically include: The pre-processed data is subjected to data verification, data cleaning and data formatting.
7. The method according to claim 3, characterized in that The method further comprises: According to the data quality of the road traffic environment information and the signal light status data, as well as the system operation status, a data collection strategy is set, and the roadside equipment and the signal light controller are controlled to collect data according to the collection strategy.
8. A traffic accident evidence collection device, characterized in that: The device comprises: The evidence collection request receiving module is used to receive the evidence collection request sent by the terminal device used by the traffic police, wherein the evidence collection request includes: the location and time of the accident; A road section and driving direction determination module, used to determine the specific road section where the accident occurred and the driving direction of the accident vehicle according to the positional relationship between the accident location and the road section in the high-precision map; A spatial range determination module, for determining the road sections and areas within a preset distance upstream and downstream of the specific road section as the spatial range based on the topological relationship between the upstream and downstream of the specific road section in the high-precision map and the driving direction of the accident vehicle; A time range determination module, used to set a preset time period before and after the accident occurrence time as the time range; A data query module, used for querying accident-related data within the spatial range and the time range from a target database; The data sending module is used to send the accident-related data to the terminal device so as to play back the accident-related data on the terminal device.
9. An electronic device, characterized in that: include: A processor, wherein the processor is used to execute a computer program stored in a memory, wherein the computer program, when executed by the processor, implements the method according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.