CN115547029A

CN115547029A - Traffic accident analysis method, system, electronic device and storage medium

Info

Publication number: CN115547029A
Application number: CN202210778871.0A
Authority: CN
Inventors: 周文辉; 陆平; 王艺帆; 胡伟超; 张煜笛; 李光耀; 张明瀚; 代宝帅
Original assignee: Beijing Luhang Ding'an Technology Co ltd; Road Traffic Safety Research Center Ministry Of Public Security Of People's Republic Of China
Current assignee: Beijing Luhang Ding'an Technology Co ltd; Road Traffic Safety Research Center Ministry Of Public Security Of People's Republic Of China
Priority date: 2022-06-30
Filing date: 2022-06-30
Publication date: 2022-12-30

Abstract

The invention discloses a traffic accident analysis method, a system, electronic equipment and a storage medium, wherein the method comprises the following steps: collecting accident vehicle related data in a preset time period before and after an accident, road data in a preset range around an accident occurrence place, traffic flow data on the road and traffic signal data; and acquiring multi-dimensional driving data of the accident vehicle in the preset time period before and after the accident based on the accident vehicle related data in the preset time period before and after the accident, the geographic road data and the traffic flow in the preset range around the accident site and the traffic signal data, wherein the multi-dimensional driving data at least comprises various driving index data of the accident vehicle corresponding to the time, the working state data of vehicle related components and the road/environment data of the accident vehicle. The driving data obtained by the invention can accurately describe the occurrence of the accident and provide powerful data support for the identification of accident responsibility confirmation.

Description

Traffic accident analysis method, system, electronic device and storage medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a traffic accident analysis method, a traffic accident analysis system, an electronic device, and a storage medium.

Background

In the field of road traffic safety, after a traffic accident occurs, law enforcement officers usually investigate and process the accident according to law except that a few of the people are negotiated and solved by the parties, and determine accident responsibility. Law enforcement investigates incidents including fixed site evidence, recording the time of the incident, weather, party information, reviewing the site and recording the incident form, etc. If the conditions allow, if the fact is clear, the parties do not dispute, the law enforcement officers determine accident responsibility, make accident acceptance, and the like on the accident site; if conditions are not allowed, such as the accident scene is complicated, the fact is unclear and the accident responsibility cannot be determined, further investigation and evidence obtaining are needed to determine the fact. Generally, a qualified identification mechanism is entrusted to carry out inspection and identification on evidences such as vehicle brake dragging marks, projectile throwing distances, monitoring video records, event recording system data and the like, and the collision speed and the running track of the accident vehicle are calculated by technical means to restore the accident passing, so that the confirmation of accident responsibility is supported.

The traditional accident investigation processing flow is complex, long in time consumption and high in cost. Furthermore, law enforcement personnel are required to collect evidence and then provide the evidence for an authentication organization to carry out inspection and authentication, so that the authentication result mainly depends on the evidence provided by the law enforcement personnel, and the man-made interference factors are large.

Disclosure of Invention

In view of the above, the present invention provides a traffic accident analysis method, a traffic accident analysis system, an electronic device, and a storage medium, which can quickly obtain accident analysis data at an accident scene.

According to an aspect of the present invention, there is provided a traffic accident analysis method, including:

collecting accident vehicle related data in a preset time period before and after an accident, road data in a preset range around an accident occurrence place, traffic flow data on the road and traffic signal data; and

acquiring multi-dimensional driving data of accident vehicles in preset time periods before and after an accident based on accident vehicle related data in the preset time periods before and after the accident, geographic road data and traffic flow in a preset range around the accident site and traffic signal data, wherein the multi-dimensional driving data at least comprises various driving index data of the accident vehicles corresponding to the time, working state data of vehicle related components and road/environment data where the accident vehicles are located.

In another aspect, the present invention provides a traffic accident analysis system applied to a terminal device, the system including:

an interactive interface module configured to provide an interactive interface that receives input information and display information;

a data collection module configured to collect accident vehicle-related data within a preset time period before and after an accident occurs, road data within a preset range around the accident occurrence place, traffic flow data on the road, and traffic signal data; and

and the analysis module is connected with the data collection module and is configured to obtain multi-dimensional driving data of accident vehicles in preset time periods before and after the accident based on accident vehicle related data in the preset time periods before and after the accident, geographical road data and traffic flow in a preset range around the accident site and traffic signal data, wherein the multi-dimensional driving data at least comprises various driving index data, vehicle related component working state data and road/environment data of the accident vehicles corresponding to the accident vehicles in terms of time.

In another aspect, the invention provides an accident analysis system terminal device, which comprises an image acquisition device, a display screen and the traffic accident analysis system.

In another aspect, the present invention provides an accident analysis system terminal device, including an image capturing apparatus, a display screen, and an accident analysis system client, where the accident analysis system client includes:

a first communication module configured to communicate with a server;

an interactive interface module coupled to the display screen and configured to provide an interactive interface on the display screen that receives input information and display information;

a terminal data collection module connected with the image acquisition device and the first communication module, configured to collect accident vehicle-related data within a preset time period before and after an accident occurs and road data within a preset range around the accident occurrence place, and transmit the collected data to a server via the communication module, and

the display data processing module is connected with the first communication module, receives multi-dimensional driving data and/or accident simulation scenes returned by the server through the first communication module, and displays the multi-dimensional driving data and/or accident simulation scenes on the display screen;

wherein the accident vehicle related data comprises one or more of accident vehicle information, EDR data, vehicle-mounted video data, vehicle-mounted driving record data, a tested vehicle image and an environment image and tested measurement data.

In another aspect, an electronic device includes an incident analysis system server, the incident analysis system server including:

a second communication module configured to communicate with the client of claim 19;

the server data collection module is configured to acquire road traffic flow data and traffic signal data within a preset range around an accident site; and

and the analysis module is connected with the communication module and the server data collection module and is configured to obtain multi-dimensional driving data of accident vehicles in preset time periods before and after an accident occurs based on accident vehicle related data in the preset time periods before and after the accident occurs, road data in a preset range around the accident occurrence place, traffic flow data on the road and traffic signal data, wherein the multi-dimensional driving data at least comprises multiple types of driving index data of the accident vehicles corresponding to the time, vehicle related component working state data and road/environment data where the accident vehicles are located, and the multi-dimensional driving data is sent to the client through the second communication module.

In another aspect, the present invention also provides a computer-readable storage medium, on which computer program instructions are stored, which when executed by a processor implement the aforementioned traffic accident analysis system or a traffic accident analysis system client in the terminal device, or an accident analysis system server in the electronic device.

In another aspect, the present invention also provides a computer program product comprising computer program instructions, which when executed by a processor, implement a traffic accident analysis system client in the aforementioned traffic accident analysis system or terminal device, or an accident analysis system server in the electronic device.

The system and the method provided by the invention can collect vehicle related data, road related data and environment related data at an accident scene, and obtain dynamic and static index data of an accident vehicle after analysis, calculation and integration, wherein the dynamic data comprises vehicle speed, speed variation in transverse/longitudinal/vertical directions, steering angle of a steering wheel, position of an accelerator pedal and the like, the static index data comprises geographical position of an accident collision point, geographical position of stop of an accident-related vehicle and the like, the passing of the accident can be accurately described through the driving data, and powerful data support is provided for identification of accident liability identification. Law enforcement personnel only need to collect relevant evidence as required, so the human factors are small, the obtained driving data is not interfered by the human factors, the accident process can be accurately restored, and the reliability is high.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings in the embodiments of the present invention are briefly described below.

FIG. 1 is a flow chart of a traffic accident analysis method according to a first embodiment of the present invention;

fig. 2 is a schematic block diagram of a terminal device of a traffic accident analysis system according to a first embodiment of the present invention;

FIG. 3 is a flow chart of a data collection method according to a first embodiment of the invention;

FIG. 4 is a flowchart of a method for obtaining multi-dimensional driving data of an accident vehicle according to a first embodiment of the present invention;

FIG. 5 is a schematic block diagram of a traffic accident analysis system according to a first embodiment of the present invention;

FIG. 6 is a functional block diagram of an analysis module in the traffic accident analysis system according to a first embodiment of the present invention;

FIG. 7 is a schematic diagram of an analysis time according to a first embodiment of the present invention;

FIG. 8 is a flow diagram of a traffic accident analysis method according to one embodiment of the present invention;

FIG. 9 is a flow chart of a traffic accident analysis method according to a second embodiment of the present invention;

FIG. 10 is a schematic block diagram of a traffic accident analysis system according to a second embodiment of the present invention;

FIG. 11 is a flow chart of a traffic accident analysis method according to a third embodiment of the present invention;

FIG. 12 is a flow chart of a method of constructing a motion simulation state of an accident vehicle according to the present invention;

FIG. 13 is a schematic block diagram of a traffic accident analysis system according to a third embodiment of the present invention;

FIG. 14 is a functional block diagram of a vehicle motion simulation module according to a third embodiment of the present invention; and

fig. 15 is a functional block diagram of a traffic accident analysis system according to a fourth embodiment of the present invention.

Detailed Description

The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is to be understood that these embodiments are provided so that the principles and spirit of the invention will be clear and thorough, and will be understood by those skilled in the art and will fully convey the principles and spirit of the invention to those skilled in the art. The exemplary embodiments provided herein are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without inventive step, are within the scope of the present invention.

The invention provides a traffic accident analysis method, a system, electronic equipment and a storage medium, aiming at the problems of complex and long period, numerous related personnel, high cost and the like of a traffic accident identification process in the field of the existing road traffic safety.

Example one

Fig. 1 is a flow chart of a traffic accident analysis method according to a first embodiment of the invention. Fig. 2 is a schematic block diagram of a terminal device of an accident analysis system according to a first embodiment of the present invention. In this embodiment, the terminal device of the accident analysis system shown in fig. 2 implements the method flow shown in fig. 1 by executing corresponding program instructions. In this embodiment, the accident analysis system terminal device 2 includes a processor 20, a display screen 21, an image capturing device 22, a memory 23, a network module 24, and a plurality of

data interfaces

251, 252, and 253. The traffic accident analysis method of the first embodiment comprises the following steps:

step S1, accident vehicle related data in a preset time period before and after an accident occurs, road data in a preset range around the accident occurrence place, traffic flow data on the road and traffic signal data are collected.

And S2, acquiring multi-dimensional driving data of accident vehicles in the preset time periods before and after the accident based on the accident vehicle related data in the preset time periods before and after the accident, the geographical road data and the traffic flow in the preset range around the accident site and the traffic signal data.

In step S1, various data may be collected through the steps shown in fig. 3:

and S11, inputting accident vehicle information based on an interactive interface provided by the terminal equipment, wherein the accident vehicle information comprises a vehicle number plate number, a brand, a vehicle type and a vehicle identification code.

And S12, acquiring vehicle type data based on the input accident vehicle information, wherein the vehicle type data comprises vehicle body size, weight and/or standard parameter data of a plurality of parts.

Step S13, acquiring vehicle-mounted data of the accident vehicle, for example, when the accident vehicle can provide EDR data, the terminal device 2 is connected with the EDR31 of the accident vehicle through a vehicle-mounted communication module (VCI), reads the EDR data from the accident vehicle and translates the EDR data into readable EDR data, and the readable EDR data comprises a plurality of driving index data and vehicle-related component working state data; when the vehicle-mounted video recording device 32 is installed in the accident vehicle, the terminal device 2 is connected with the vehicle-mounted video recording device 32 of the accident vehicle through a communication line, the vehicle-mounted video recording device of the accident vehicle is used for acquiring vehicle-mounted video data, and a plurality of video images in a preset time period before and after the accident occurs are intercepted from the vehicle-mounted video recording device; when the travel record device 33 is installed in the accident vehicle, the terminal device 2 is connected to the travel record device 33 of the accident vehicle through a communication line, and acquires the vehicle-mounted travel record data from the travel record device 33 of the accident vehicle and intercepts the travel record data in a preset time period before and after the accident.

Step S14, acquiring vehicle images and environment images which are surveyed in an accident scene based on an image acquisition device 22 provided by terminal equipment, wherein the vehicle images at least comprise vehicle whole images and damaged local images at a plurality of angles; the environmental image includes at least a road surface and a surrounding road surface/environmental image of a stop position of the accident vehicle.

Step S15, inputting survey measurement data based on an interactive interface provided by the terminal equipment, wherein the survey measurement data comprises road surface impression measurement data.

In step S2, the step of obtaining the multi-dimensional driving data of the accident vehicle within the preset time period before and after the accident is shown in fig. 4, which includes:

and S21, determining a plurality of analysis moments in a reverse sequence before the accident occurs and a forward sequence after the accident occurs respectively by taking the accident occurrence moment as a time zero point in a preset time period before and after the accident occurs.

And S22, acquiring and analyzing the video image, the driving record data and/or the corresponding road/environment data at each analysis moment, and combining the readable EDR data to obtain the driving index data, the working state data of the relevant parts of the vehicle and the road/environment data at each analysis moment.

And S23, integrating the running index data, the working state data of the relevant parts of the vehicle and the road/environment data at each analysis moment according to a time line to form multidimensional running data.

Wherein the running index includes at least one or more of a vehicle speed, a speed change amount in a three-dimensional direction, and a vehicle acceleration in a three-dimensional direction.

The vehicle-related component operating condition data includes at least one or more of steering wheel steering angle, accelerator pedal position, brake pedal position, anti-lock braking system status, engine speed, seat belt status, and turn signal status.

The road/environment data at least comprises one or more of accident collision point geographic position, geographic position of vehicle stopping related to accidents, final geographic position of personnel related to accidents, braking and dragging distance, type of road junction/road section at an accident site, number of driving lanes, road width, road speed limit value and traffic signal data.

Fig. 5 is a schematic block diagram of a traffic accident analysis system according to a first embodiment of the present invention, and referring to fig. 2, the traffic accident analysis system 1 is located in the terminal device 2, and is implemented by related hardware in the terminal device 2 and a program stored in a memory 23. The traffic accident analysis system 1 includes an interactive interface module 10, a data collection module 11, and an analysis module 12, where the interactive interface module 10 is configured to provide an interactive interface for receiving input information and displaying information, and to display the interactive interface on a display screen 21, for example, a system home page interface, various information input interfaces, various information display interfaces, and the like. The data collection module 11 collects accident vehicle-related data, road data within a preset range around an accident occurrence place, traffic flow data on the road, and traffic signal data within a preset time period before and after the occurrence of an accident.

In the present embodiment, the data collection module 11 includes one or more of a data input unit 111, an in-vehicle data acquisition unit 112, a live image acquisition unit 113, a map unit 114, and a traffic data unit 115. The data input unit 111 is connected to the interactive interface, and is configured to receive input accident vehicle information and survey measurement data, where the accident vehicle information includes a number plate, a brand, a vehicle type, and a vehicle identification code, and the survey measurement data includes measurement data such as a road braking impression. For example, the interactive interface module 10 may provide an accident vehicle information input interface, and law enforcement officers may fill in data fields provided by the input interface to obtain vehicle information such as vehicle license plate number, brand, vehicle type, and vehicle identification code. The interactive interface module 10 may also provide an input interface for survey measurement data, so that law enforcement officers may fill in the data according to the surveyed items, such as the number of accident vehicles and the road surface imprint measurement data of each accident vehicle, and may cooperate with the field image collecting unit 113 to collect vehicle images and environment images surveyed in the accident scene based on the image collecting device 22 provided by the terminal device 2, wherein the vehicle images at least include vehicle images at a plurality of angles and damaged local images; the environmental image includes at least a road surface and a surrounding road surface/environmental image of a stop position of the accident vehicle. So that various necessary data and images of the accident scene can be obtained.

The onboard data acquisition unit 112 may obtain accident vehicle onboard data from an accident vehicle. For example, the in-vehicle data acquisition unit 112 may be an EDR data unit when EDR data can be provided in the accident vehicle. The terminal device 2 is connected with the accident vehicle EDR31 through a vehicle-mounted communication module (VCI), one end of the VCI is connected to a first data interface 251 of the terminal device 2, the other end of the VCI is connected to the accident vehicle EDR31, and the vehicle-mounted data acquisition unit 112 is connected with the first data interface 251. The onboard data acquisition unit 112 can thus read EDR data from the accident vehicle and convert it into readable EDR data, which includes a plurality of driving index data and vehicle-related component operating state data. The interactive interface module 10 cooperates with the vehicle-mounted data acquisition unit 112 to provide a corresponding interactive interface, for example, an EDR data extraction interface, including display screens of various states such as device connection, data reading and translation.

In one embodiment, the EDR raw data is a hexadecimal data sequence containing data elements of vehicle speed, longitudinal speed variation, steering wheel steering angle, accelerator pedal position, brake pedal position status, anti-lock system status, seat belt status, and turn light status. The format, arrangement position and conversion formula of each data element in the data sequence and the actual value are in accordance with the regulations of related technical standards (for example, national standard GB39732 automobile event data recording system and international standard ISO14229 road vehicle unified diagnosis service), specifically including the name, recording frequency, unit, resolution, range, accuracy, signal length, byte serial number, conversion formula and recording reference time of each data element. The criteria to which the EDR raw data meets can be determined from the vehicle information, so that the byte position, the hexadecimal value, of each data element in the raw data sequence can be determined. The hexadecimal values are then converted into actual physical values which can reflect the dynamic index data through a conversion formula during translation.

For example, for a data index of vehicle speed, the corresponding translation process is: a hexadecimal array Hex = (a) corresponding to a 'vehicle speed' data element in an EDR data sequence on byte positions n-m ₁ ,a ₂ ,a ₃ ,...,a _m-n+1 ) Conversion into decimal array Dec, and conversion into decimal array Dec= Dec ", converting into a vehicle speed array V = (r) containing m-n +1 data ₁ ,r ₂ ,r ₃ ,...,r _m-n+1 ) And the corresponding time of each datum is a time point which is divided by preset time-Ts-0 s according to m-n, wherein 0s refers to the time of accident occurrence, and-Ts is Ts before the accident occurrence. For example, when the byte position corresponding to the "vehicle speed" data element in the EDR data is 30 to 40 and the preset time is-5 s to 0s, the vehicle speed data v _i Corresponding to time t _i ＝-5+0.5×i(i＝0,1,2,3,4,5,6,7,8,9,10)。

For another example, for a data index of the steering angle of the steering wheel, the corresponding translation process is: a hexadecimal array Hex = (a) corresponding to a data element of a steering wheel corner in an EDR data sequence on byte positions n-m ₁ ,a ₂ ,a ₃ ,...,a _m-n+1 ) Converted into a decimal array Dec, and converted into a Steering wheel Steering Angle array Steering-Angle = (r) containing m-n +1 data through the formula Steering-Angle = Dec × 5-780 ₁ ,r ₂ ,r ₃ ,...,r _m-n+1 ) And each data corresponds to a time point of which the time is divided by m-n from preset time-Ts to 0 s.

For another example, for the data index of the accelerator pedal position, the corresponding translation process is: corresponding the data element of the 'accelerator pedal position' in the EDR data sequence to a hexadecimal array Hex = (a) on byte positions n-m ₁ ,a ₂ ,a ₃ ,...,a _m-n+1 ) Converted into a decimal array Dec, and then converted into an acceleration pedal position array Acc-pedal = (r) containing m-n +1 data through a formula of Acc-pedal = Dec ₁ ,r ₂ ,r ₃ ,...,r _m-n+1 ) And each data corresponds to a time point of which the time is divided by m-n from preset time-Ts to 0 s.

The in-vehicle data acquisition unit 112 may also be a video data unit when the in-vehicle video recording device 32 is installed in an accident vehicle. The terminal device 2 is connected to the vehicle-mounted video recording apparatus 32 of the accident vehicle via a communication line such as a USB line, a serial line, or the like. One end of the communication line is connected with the second data interface 252 of the terminal device 2, the other end is connected with the vehicle-mounted video recording device 32 of the accident vehicle, and the vehicle-mounted data acquisition unit 112 is connected with the second data interface 252, so that the vehicle-mounted video data can be acquired from the vehicle-mounted video recording device 32. The interactive interface module 10 cooperates with the vehicle-mounted data acquisition unit 112 to provide corresponding interactive interfaces, for example, a video playing screen and a screenshot tool interface. Law enforcement personnel can utilize the screenshot tool to intercept a plurality of video images within a preset time period before and after the accident from the video as required.

When the driving recorder 33 is installed in the accident vehicle, the vehicle-mounted data acquiring unit 112 is connected to the third data interface 253, and the terminal device 2 is connected to the driving recorder 33 through the third data interface 253 and the data/communication line, so that the vehicle-mounted data acquiring unit 112 can acquire the vehicle-mounted driving record data from the driving recorder 33 of the accident vehicle and intercept the driving record data within a preset time period before and after the accident. Further, various data graphs/tables can be obtained according to corresponding analysis processing strategies. Such as velocity profiles, road maps, etc. over time or over a course.

The map unit 114 may provide online or offline map data, and when the online map data is provided, it connects the online map system 4 through the network module 24 of the terminal device 2, so that real-time map data can be obtained from the map system 4. The map unit 114 is matched with the interactive interface module 10, and the interactive interface module 10 provides a corresponding interactive interface for the map unit 114. When law enforcement officers input the geographic identification at the interactive interface provided by the interactive interface module 10, the map unit 114 may acquire road data within a preset range around the accident site according to the geographic identification.

The traffic data unit 115 is connected to the traffic route system 5 via the network module 24 of the terminal device 2. The traffic road system 5 may provide traffic flow and traffic signal data for various roads within the jurisdiction. The traffic data unit 115 is matched with the interactive interface module 10, and the interactive interface module 10 provides a corresponding interactive interface for the traffic data unit 115. When the executive inputs the geographic identifier and the required data time interval on the interactive interface, the traffic data unit 115 sends the data to the traffic channel system 5 as a data request, so that the traffic flow data and the traffic signal data of the accident site in the preset time period before and after the accident occurs can be acquired.

The analysis module 12 is connected to the data collection module 11, and obtains multi-dimensional driving data of the accident vehicle in the preset time period before and after the accident occurs based on data related to the accident vehicle in the preset time period before and after the accident occurs, geographic road data and traffic flow in the preset range around the accident occurrence location, and traffic signal data, wherein the multi-dimensional driving data at least includes various driving index data of the accident vehicle corresponding to time, working state data of vehicle-related components, and road/environment data where the accident vehicle is located.

Fig. 6 is a schematic block diagram of an analysis module according to an embodiment of the present invention, and the analysis module 12 in this embodiment includes a time determination unit 121, an index data calculation unit 122, and a data integration calculation unit 123. The time determination unit 121 determines a preset time period before and after an accident occurs, an accident occurrence time, a plurality of reverse analysis times from a reverse sequence of the accident occurrence time to an initial time of the preset time period, and a plurality of forward analysis times from a forward sequence of the accident occurrence time to an end time of the preset time period based on the acquired EDR data, the vehicle-mounted video data, and/or the vehicle-mounted driving record data. Since data from different sources have different time periods, the EDR data of a vehicle is recorded for a period of time generally from the first n seconds (e.g., 5 seconds before a collision) when the accident occurs to the time after the end of the accident (collision duration), and generally not more than 10 seconds. The vehicle-mounted video data and the vehicle-mounted driving recording data are downloaded from the original vehicle, and the time length of the vehicle-mounted video data and the vehicle-mounted driving recording data is far longer than the recording time period of the EDR data. For convenience of data analysis, the time determination unit 121 extracts the time of each source data to determine an appropriate time period for analysis, for example, a time zone from n seconds before the occurrence of the accident to the time when the vehicle stops at the end of the accident. The analysis time period shown with reference to FIG. 7 is the time interval from-Tn seconds to Tm seconds. Wherein the EDR data of the vehicle is recorded at the earliest time or at a time which is a few seconds earlierAnalyzing the starting time-Tn of the time period, taking the stopping time of the vehicle as the ending time Tm, and taking the accident occurrence time provided by the EDR data as the time zero point T ₀ . The time corresponding to the video screenshot is first determined as the primary analysis time, e.g., the Tp-level time in fig. 5. The time in the time series of EDR data of the vehicle, such as the Te-level time in the figure, is then acquired. Some of the Te level times coincide with the Tp level times.

The index data calculating unit 122 is connected to the time determining unit 121, and is configured to obtain the video image, the driving record data and/or the corresponding road/environment data at each analysis time, and calculate the driving data at each analysis time. For example, the method is first used to extract parameter data corresponding to the driving index and the road/environment from the video image, the driving record data and the road/environment data, and then to complement the missing driving data for each analysis time.

with-T in FIG. 7 _p2 And taking the moment as the current analysis moment, firstly, carrying out image recognition on the video screenshot, and obtaining the image characteristics of the current road, surrounding buildings, landscape and road vehicles. The map data is then queried based on the geographic location data in the travel record data to determine a current geographic range. And then determining whether the current geographic range has the tested picture data and the measured data. If the investigation picture exists, extracting image characteristics, determining picture contents such as the geographic position of an accident collision point, the geographic position of a vehicle involved in an accident, the final geographic position of personnel involved in the accident and the like, recording data such as brake dragging distance, throw distance and the like if the data exists, and then determining running index data which is lacked at the current analysis moment, such as the current-T _p2 The time is not the time in the time series of the EDR data and is located at the time-T of two Te levels in the time series of the EDR data _e10 and-T _e9 Intermediate, thus-T _p2 The time of day is short of most of the EDR data. determining-T according to the variation trend of each index data in EDR data _e10 Time of day and-T _e9 Middle of time-T _p2 And each index data of the time. Such as vehicle speed, speed variation in three dimensions,Vehicle acceleration in three-dimensional directions, steering wheel steering angle, accelerator pedal position, brake pedal position, anti-lock system status, engine speed, seat belt status, turn light status, and the like,

the data integration unit 123 is connected to the index data calculation unit 122, and integrates the driving index data, the vehicle related component operating state data, and the road/environment data at each analysis time according to a time line to form multidimensional driving data. The multidimensional driving data may be data of different dimensions, each dimension corresponds to index data, for example, time series data of vehicle speed, time series data of speed variation in transverse/longitudinal/vertical directions, time series data of vehicle acceleration, steering angle of a steering wheel, position of an accelerator pedal, position of a brake pedal, state of an anti-lock system, engine speed, state of a safety belt, state of a turn light, traffic signal data, and the like, the data have corresponding numerical values with time, the data of the dimensions may be referred to as dynamic index data, and the data of the dimensions may not change with time and may be referred to as static index data, for example, geographical position of an accident collision point, geographical position of a vehicle in relation to stop, final geographical position of a person in relation to, brake trail distance, type of an accident scene intersection/road section, number of lanes of a vehicle, road width, road speed limit value, and the like, data about roads, environments, and the like.

Fig. 8 is a flow chart of a traffic accident analysis method according to one embodiment of the present invention. Based on the terminal device and the traffic accident analysis system in the terminal device, the process of the traffic accident analysis method according to the embodiment is described as follows. Wherein, the steps S1a to S9a are steps implemented by the user, the steps S1b to S15b are steps implemented by the traffic accident analysis system in the terminal device in this embodiment, and the user interacts with the traffic accident analysis system in the terminal device to complete accident analysis, including the following steps:

and S1b, providing a data collection interface by the traffic accident analysis system. The present invention needs to collect a plurality of data, so that the data collection interactive interface corresponding to the interactive interface module 10 can collect the interactive interface according to different data types, and provide corresponding options in the home page. The data collection corresponding to these options is not sequential, and therefore, the collection order in this embodiment is only used to illustrate the data collection process, and there is no sequential limitation.

In step S1a, the user selects the EDR data item and inputs accident vehicle information, such as a vehicle number plate number, a brand, a vehicle type, a vehicle identification code, and the like.

And S2b, receiving the accident vehicle information by the traffic accident analysis system, and determining a communication protocol for communicating with the accident vehicle. In some embodiments, the traffic accident analysis system may further include a database in which various vehicle brands, vehicle types, and corresponding vehicle type data, such as body size, weight, and/or standard parameter data of multiple components, etc., are stored, and thus, when the accident vehicle information is received, the vehicle type data, etc., are obtained from the database.

And S3b, reading the EDR data of the accident vehicle by adopting a corresponding communication protocol.

And S4b, translating the EDR data to obtain readable EDR data, wherein the readable EDR data comprises a plurality of driving index data and vehicle related component working state data.

Step S2a, the user selects a video recording device item.

And S5b, the traffic accident analysis system acquires vehicle-mounted video data from a vehicle-mounted video recording device of the accident vehicle.

And S6b, the traffic accident analysis system stores the read vehicle-mounted video data in a preset position.

Step S3a, the user inputs a play instruction. For example, the user opens a vehicle video folder through the interactive interface, or enters a video storage list to select a video to be played.

And S7b, playing a corresponding video by the traffic accident analysis system based on the playing instruction.

And S4a, inputting a screenshot command by a user. A screenshot tool is provided on the video playing interface, and a user can use the screenshot tool to capture a required video frame.

And S8b, the traffic accident analysis system intercepts and stores the corresponding video picture according to the screenshot command.

In step S5a, the user selects the travel recording device item.

And step S9b, the traffic accident analysis system reads vehicle-mounted running record data in the running record device of the accident vehicle.

And step S10b, the traffic accident analysis system stores the vehicle-mounted driving record data, intercepts the driving record data in the preset time period before and after the accident and analyzes the driving record data to obtain a corresponding data chart.

Step S6a, the user selects a map item and inputs a geographical identification.

And S11b, the traffic accident analysis system acquires road data according to the input geographic identification.

Step S7a, the user selects a traffic data item and inputs a geographic identification and a time interval.

In step S12b, the traffic accident analysis system acquires traffic flow data and traffic signal data from the traffic data system.

And step S8a, selecting a survey data item by the user, photographing and inputting measurement data. For example, the user can take images of the entire vehicle from a plurality of angles and take partial images of a damaged part or the like, and can take environmental images such as a road surface and a surrounding environment at and near a stop position of an accident vehicle in addition to the vehicle image. Measurement data such as tire footprint size, distance of brake impression, parabolic distance of object, etc.

And S13b, storing the scene pictures and the measurement data by the traffic accident analysis system.

In step S9a, the user inputs an analysis instruction.

And S14b, analyzing by the traffic accident analysis system based on the input various data to obtain multi-dimensional driving data.

And S15b, displaying or outputting the multidimensional driving data by the traffic accident analysis system. For example, in a terminal screen, or to generate a report for storage, display, or upload.

In the present embodiment, vehicle-related data, road-related data, and environment-related data are collected from various sources. Of course, after the data is collected, the system also comprises the processing of cleaning, impurity removal, format conversion and the like of the collected data. The preset time period is divided into a plurality of analysis moments according to the time sequence, various index data values of each analysis moment are calculated and obtained through deduction based on the index data values of the analysis moments and the index data values before and after the adjacent analysis moments, and then integration is carried out according to the time line, so that dynamic and static index data of the accident vehicle can be obtained, wherein the dynamic data comprises vehicle speed, speed variation in the transverse/longitudinal/vertical directions, steering angle of a steering wheel, position of an accelerator pedal and the like, the dynamic data comprises a time sequence data value, and the static index data comprises the geographical position of an accident collision point, the geographical position of stopping of the accident vehicle and the like.

Example two

Fig. 9 is a flowchart of a traffic accident analysis method according to a second embodiment of the present invention, and compared with the analysis method according to the first embodiment, the method according to this embodiment further includes a step S3 of processing the driving data into one or more display data that can be displayed by an information frame, a graph and/or a motion graph. Correspondingly, fig. 10 is a schematic block diagram of a traffic accident analysis system according to a second embodiment of the present invention. Compared with the first embodiment, the present embodiment further includes a display data processing module 13, which is connected to at least the analysis module 12 and configured to process the driving data into one or more display data that can be displayed by an information frame, a graph and/or a motion picture.

In the embodiment, various driving data are processed into forms such as charts, graphs and dynamic graphs, so that the data are more intuitive when being displayed, for example, the driving state of an accident vehicle before the accident happens can be intuitively known through a speed curve graph and an acceleration curve graph, and the passing of the accident can be more intuitively described by matching with a position time change curve graph of an accelerator pedal and the like and a brake pedal, so that the accident reason and responsibility can be favorably determined.

EXAMPLE III

Fig. 11 is a flowchart of a traffic accident analysis method according to a third embodiment of the present invention, and compared with the second embodiment, the present embodiment further includes the following steps:

and S4, constructing a motion simulation state of the accident vehicle on the road in a preset time period before and after the accident on the basis of the collected accident vehicle related data, the plurality of driving index data obtained by analysis, the vehicle related component working state data and the road/environment data.

Fig. 12 shows a process of constructing a motion simulation state of an accident vehicle, which includes:

and S41, constructing a vehicle body model based on the accident vehicle information or calling the vehicle body model from a database. For example, a body model is constructed based on body size, weight and/or standard parameter data of a plurality of components in the accident vehicle information, or a body model corresponding to the accident vehicle is determined among various body models prestored in the system database.

And S42, calculating body posture data of the vehicle body in three dimensional directions at each analysis moment based on the vehicle type data and the running index data of the accident vehicle, wherein the body posture data at least comprises deflection angles, speeds/accelerations and the like of the vehicle body in the three dimensional directions.

And S43, determining a vehicle body collision point based on the collected vehicle image and the environment image of the accident scene. For example, the position of the vehicle body where the collision point is located when the collision occurs is extracted from a vehicle picture and an environment picture acquired on site.

And step S44, calculating stress data of the vehicle body structure based on one or more of the accident vehicle driving data, the vehicle related component working state data and the road data of the accident vehicle. For example, the force applied to the collision point is calculated based on the speed/acceleration, the vehicle body weight, and the speed/acceleration and the weight of the collision at the present analysis time.

And S45, correcting the relevant structure model of the vehicle body according to the stress data to obtain a corrected vehicle body model. In one embodiment, according to the position of the collision point and the stress data thereof, and by combining the impact resistance data and the related structure of the vehicle body, the deformation of the related structure of the vehicle body is determined, and the vehicle body model is corrected according to the deformation.

And S5, constructing a simulated environment where the current accident vehicle is positioned according to road data of an accident scene, traffic flow and traffic signal data in a preset time period before and after the accident and road/environment data in a preset range around a place of affairs. In one embodiment, firstly, a road image at each analysis moment and a possible environment image around the road are spliced, and for the analysis moment lacking the road/environment image, a road/environment image corresponding to the analysis moment is generated according to the road/environment image characteristics at the adjacent analysis moment; and then splicing the images at each analysis moment together to obtain a simulated environment. The simulated environment comprises the width of the whole road, the number of lanes, the type of a crossing/road section, vehicles around an accident vehicle, vehicles around the accident vehicle, signs above/on the side of the road (such as speed limit signs), traffic lights above/on the side of the road and states thereof, street view/Lu Jing (such as isolation belts, isolation piles, street buildings and natural landscapes) and the like.

And S6, fusing the dynamic simulation state of the accident vehicle on the road into a simulation environment according to a time line to obtain an accident simulation scene. In one embodiment, the accident vehicle body model at each analysis moment is fused with the simulated environment image corresponding to the analysis moment; and generating a multi-frame image according to the set playing frame number and the fused image at the two analysis moments, thereby forming the accident simulation scene animation. In order to increase the accuracy of the generated simulated scene animation, the analysis time can be set according to the frame rate of the playing. For example, each analysis instant corresponds to a timestamp of each frame of image.

And S7, displaying the accident simulation scene in a screen. In one embodiment, the accident simulation scene animation is played in a screen according to an input playing instruction.

Correspondingly, fig. 13 is a schematic block diagram of a traffic accident analysis system according to a third embodiment of the present invention. Compared with the second embodiment, the system of the invention further comprises a vehicle motion simulation module 14, an accident environment simulation module 15, a fusion module 16 and a display rendering module 17, wherein the vehicle motion simulation module 14 is respectively connected with the data collection module 11 and the analysis module 12, and is configured to construct a motion simulation state of the accident vehicle on the road in a preset time period before and after the accident based on the collected accident vehicle related data, the analyzed plurality of driving index data, the vehicle related component working state data and the road/environment data. Fig. 14 is a schematic block diagram of a vehicle motion simulation module according to a third embodiment of the present invention, where the vehicle motion simulation module 14 further includes a vehicle body model unit 141, a vehicle body posture unit 142, and a vehicle body correction unit 143. Wherein the vehicle body model unit 141 constructs a vehicle body model based on the accident vehicle information or retrieves the vehicle body model from a database; the body posture unit 142 calculates the rotation angle, speed and the like of the body posture data of the vehicle body in three dimensional directions at each analysis moment based on the vehicle type data and the running index data of the accident vehicle; the vehicle body correction unit 143 determines a collision point based on the collected vehicle image and the environment image of the accident scene, calculates a stress condition of the vehicle body structure based on one or more of the driving data of the accident vehicle, the working state data of the related components of the vehicle and the road data of the accident vehicle, and corrects the related structure model of the vehicle body according to the stress condition to obtain a corrected vehicle body model.

The accident environment simulation module 15 is respectively connected to the data collection module 11 and the analysis module 12, and is configured to construct a simulation environment where a current accident vehicle is located based on road data of an accident scene, traffic flow and signal data in a preset time period before and after an accident occurs, and road/environment data in a preset range around an incident place. The fusion module 16 is respectively connected with the vehicle motion simulation module 14 and the accident environment simulation module 15, and fuses the dynamic simulation state of the accident vehicle on the road into the simulation environment according to the time line to obtain an accident simulation scene. The display rendering module 17 is connected to the fusion module 16 and configured to render the accident simulation scene for display on the display screen based on the display screen data of the terminal device.

The accident simulation scene animation is obtained based on the driving data, and in the playing process of the accident simulation scene animation, the road condition in the preset road range, the motion track of an accident vehicle on the road, the vehicle body posture, the traffic flow on the current road, the corresponding traffic signal lamp state and the like can be visually seen, so that the accident scene is more vividly described.

In some embodiments, the accident simulation scenario may be represented by a two-dimensional animation, and in other embodiments, a three-dimensional accident simulation scenario may be obtained by creating a three-dimensional model of the accident vehicle, a three-dimensional model of the simulation environment at each analysis time. During playing, the accident simulation scene animation can be played by selecting different viewing angles, so that the accident scene can be more clearly described.

In other embodiments, the data processed by the display data processing module 13 may be fused into the accident simulation scene, and the driving data is displayed or a specific identifier is marked at a corresponding specific position in the accident simulation scene according to the type of the driving data. For example, when an accident simulation scene animation is played, wheel marks are displayed on a road, or a steering wheel is highlighted in a vehicle body model, and a current steering angle is displayed, or an accelerator pedal position and a brake pedal position are highlighted, or data such as a current vehicle speed and acceleration are dynamically displayed in the form of text messages and curves during the driving of a vehicle. Of course, whether or not to display data, which data to display, may be set by the operator.

According to the method, when the number of accident vehicles is more than two, the preset time period before and after the accident of each accident vehicle is correspondingly determined according to the collision occurrence time of the accident vehicles; when the motion simulation state of the accident vehicle is constructed, the motion simulation state of each accident vehicle on the road in the preset time period before and after the occurrence of the accident is respectively obtained; and splicing the simulation environment of each accident vehicle to obtain an integral simulation environment, and fusing the dynamic simulation states of more than two accident vehicles on the road into the integral simulation environment according to a time line to obtain an accident simulation scene. Therefore, the accident scene and the occurrence process can be clearly restored.

In the first to third embodiments, the traffic accident analysis system is located in a terminal device, law enforcement officers carry the terminal device to collect data at an accident scene, and the traffic accident analysis system calculates and obtains the driving data and the accident simulation scene based on the collected data.

Example four

Fig. 15 is a functional block diagram of a traffic accident analysis system according to an embodiment of the present invention. In this embodiment, the traffic accident analysis system is divided into a client 10a located in the terminal device 1a and a server 20a located in a remote electronic device, which may be implemented as the server 2a. The accident analysis system client 10a includes a first communication module 11a, an interactive interface module 12a, a terminal data collection module 13a, and a display data processing module 14a. Wherein, referring to fig. 2, the first communication module 11a communicates with the server 20a. The interactive interface module 12a is connected to the display screen 21 and is used for providing an interactive interface for receiving input information and displaying information on the display screen 21. The terminal data collection module 13a is connected to the image acquisition device 22, the network module 24 and the data interface, and is configured to collect accident vehicle related data in a preset time period before and after an accident occurs and road data in a preset range around the accident occurrence location, such as vehicle information, EDR data, videos and screenshots in the vehicle-mounted video recording device 32, data and live pictures in the driving recording device 33, survey measurement data and geographic location identification data of the accident occurrence location, and send the collected data to the server 20a through the first communication module 11 a. The display data processing module 14a is connected to the first communication module 11a, receives the multidimensional driving data and/or the accident simulation scene returned by the server 20a through the first communication module 11a, and displays the data on the display screen 21.

The accident analysis system server includes a second communication module 21a, a server data collection module 22a and an analysis module 23a, wherein the second communication module 21a is in communication with the client 10a. The server data collection module 22a is used for acquiring road traffic flow, signal data or some vehicle related data, such as body size, vehicle weight, etc., within a preset range around the accident site. The analysis module 23a is connected to the second communication module 21a and the service end data collection module 22a, and obtains multi-dimensional driving data of the accident vehicle in the preset time period before and after the accident based on the accident vehicle related data in the preset time period before and after the accident, the road data in the preset range around the accident site, the traffic flow data on the road and the traffic signal data, wherein the multi-dimensional driving data at least includes various driving index data of the accident vehicle corresponding to the time, the working state data of the vehicle related parts and the road/environment data where the accident vehicle is located, and sends the multi-dimensional driving data to the client 10a through the second communication module 21 a.

Of course, the server 20 further includes a vehicle motion simulation module 24a, an accident environment simulation module 25a and a fusion module 26a, which are the same as the vehicle motion simulation module 14, the accident environment simulation module 15 and the fusion module 16 in the foregoing third embodiment, and are not described herein again. After the server 20a obtains the accident simulation scene, the accident simulation scene data is sent to the client 10a through the second communication module 21 a. The accident simulation scenario may be displayed in the client 10a.

In the embodiment, the client is located in the terminal device and is mainly used for collecting and displaying data, the work needing analysis and calculation is finished by the server, and the processing and calculation time of the terminal device is reduced by utilizing the strong calculation capacity of the server, so that driving data or an accident simulation scene can be quickly obtained.

In this embodiment, the remote electronic device may be implemented as a server or a server cluster, which includes one or more processors, memories, etc., and the memories store computer program instructions, which when executed by the processors, can implement the functions of the aforementioned server.

In another aspect, the present invention also provides a computer-readable storage medium, on which computer program instructions are stored, which when executed by a processor implement the aforementioned traffic accident analysis system or a client or a server.

Such as various capacity memories for data or instructions. By way of example, and not limitation, memory may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. The memory may include removable or non-removable (or fixed) media, where appropriate. The memory may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 602 is a non-volatile solid-state memory. The memory may also include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the methods according to an aspect of the invention.

In another aspect, the invention also provides a computer program product comprising computer program instructions which, when executed by a processor, implement a traffic accident analysis system in a terminal device or a traffic accident analysis system client in the terminal device, or an accident analysis system server in a server. The computer program product includes, but is not limited to, forms of application installation packages that can be published on websites, application stores, application plug-ins, applets that can run in certain applications, and the like.

As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.

Claims

1. A traffic accident analysis method, comprising:

2. The method of claim 1, wherein the step of collecting accident vehicle related data within a preset time period before and after the occurrence of the accident comprises at least one or more of the following steps:

inputting accident vehicle information based on an interactive interface provided by terminal equipment, wherein the accident vehicle information comprises a vehicle number plate number, a brand, a vehicle type and a vehicle identification code;

acquiring vehicle model data including vehicle body size, weight and/or standard parameter data of a plurality of parts based on the input accident vehicle information;

acquiring and translating EDR data from an accident vehicle to obtain readable EDR data, wherein the readable EDR data comprises a plurality of driving index data and vehicle related component working state data; and/or acquiring vehicle-mounted video data from a vehicle-mounted video recording device of the accident vehicle, and intercepting a plurality of video images in a preset time period before and after the accident; and/or acquiring vehicle-mounted running record data from a running record device of the accident vehicle, and intercepting the running record data in a preset time period before and after the accident;

the method comprises the steps that an image acquisition device provided based on terminal equipment acquires vehicle images and environment images of accident scene investigation, wherein the vehicle images at least comprise vehicle whole images and local images of more than one angle; the environment image at least comprises a road surface and a surrounding road surface/environment image of the stop position of the accident vehicle; and

and inputting survey measurement data based on an interactive interface provided by the terminal equipment, wherein the survey measurement data comprises road surface mark measurement data.

3. The method of claim 2, wherein the step of obtaining multi-dimensional driving data of the accident vehicle within a preset time period before and after the accident comprises:

in a preset time period before and after an accident, taking the accident occurrence time as a time zero point, and respectively determining a plurality of analysis times in a forward reverse sequence before the accident occurs and in a forward sequence after the accident occurs;

acquiring and analyzing the video image, the driving record data and/or the corresponding road/environment data at each analysis moment, and combining the readable EDR data to obtain the driving index data, the working state data of the relevant parts of the vehicle and the road/environment data at each analysis moment; and

integrating the running index data, the working state data of the relevant parts of the vehicle and the road/environment data at each analysis moment according to the time line to form multidimensional running data;

wherein the running index includes at least one or more of a vehicle speed, a speed change amount in a three-dimensional direction, and a vehicle acceleration in a three-dimensional direction;

the vehicle-related component operating state data at least comprises one or more of steering wheel steering angle, accelerator pedal position, brake pedal position, anti-lock braking system state, engine speed, safety belt state and steering lamp state;

4. The method of claim 3, further comprising: and processing the driving data into one or more display data which can be displayed by an information frame, a chart, a graph and/or a dynamic diagram.

5. The method of claim 3, further comprising:

constructing a motion simulation state of the accident vehicle on a road in a preset time period before and after the accident based on the collected accident vehicle related data, the analyzed multiple driving index data, the vehicle related component working state data and the road/environment data;

constructing a simulation environment where a current accident vehicle is located based on road data of an accident scene, traffic flow and traffic signal data in preset time periods before and after the accident and road/environment data in a preset range around an incident place;

fusing the dynamic simulation state of the accident vehicle on the road into a simulation environment according to a time line to obtain an accident simulation scene; and

and displaying the accident simulation scene in a screen of the terminal equipment.

6. The method according to claim 5, wherein in displaying the accident simulation scenario, one or more driving data is fused into the accident simulation scenario in a timeline as display data in the form of information boxes, charts, graphs or motion pictures.

7. The method according to claim 6, wherein when the display data of one or more driving data is fused into the accident simulation scene, the driving data is displayed at a corresponding specific position in the accident simulation scene or a specific identifier is marked in the accident simulation scene according to the driving data category.

8. The method of claim 5, wherein the step of constructing a motion simulation state of the accident vehicle comprises:

constructing a vehicle body model based on accident vehicle information or calling the vehicle body model from a database;

calculating body attitude data of the vehicle body in three dimensional directions at each analysis moment based on the vehicle type data and the running index data of the accident vehicle, wherein the body attitude data at least comprises deflection angles, speeds/accelerations of the vehicle body in the three dimensional directions;

determining a vehicle body collision point based on the acquired vehicle image and the environment image of the accident scene;

calculating stress data of a vehicle body structure based on one or more of accident vehicle driving data, vehicle related component working state data and road data where an accident vehicle is located; and

and correcting the relevant structure model of the vehicle body according to the stress data to obtain a corrected vehicle body model.

9. The method of claim 5, wherein the accident vehicle is two or more; according to the collision occurrence time of accident vehicles, each accident vehicle corresponds to a respective preset time period before and after the occurrence of the accident; when the motion simulation state of the accident vehicle is constructed, the motion simulation state of each accident vehicle on the road in the preset time period before and after the occurrence of the accident is respectively obtained; and splicing the simulation environment of each accident vehicle to obtain an integral simulation environment, and fusing the motion simulation states of more than two accident vehicles on the road into the integral simulation environment according to a time line to obtain the accident simulation scene of more than two accident vehicles.

10. A traffic accident analysis system applied to a terminal device, the system comprising:

11. The system of claim 10, wherein the data collection module further comprises one or more of the following elements:

a data input unit connected with the interactive interface and configured to receive accident vehicle information and survey measurement data input through the interactive interface, the accident vehicle information including a vehicle number plate number, a brand, a vehicle type, and a vehicle identification code, the survey measurement data including at least road surface imprint measurement data;

an on-board data acquisition unit connected with the data input unit and configured to acquire and translate EDR data from the accident vehicle to obtain readable EDR data, wherein the readable EDR data comprises a plurality of driving index data and vehicle related component working state data; and/or acquiring vehicle-mounted video data from a vehicle-mounted video recording device of the accident vehicle, and intercepting a plurality of video images in a preset time period before and after the accident; and/or acquiring vehicle-mounted running record data from a running record device of the accident vehicle, and intercepting the running record data in a preset time period before and after the accident;

the scene image acquisition unit is connected with the interactive interface and is configured to acquire vehicle images and environment images of an accident scene investigation based on an image acquisition device provided by terminal equipment, wherein the vehicle images at least comprise vehicle whole images and local images of more than one angle; the environment image at least comprises a road surface and a surrounding road surface/environment image of the stop position of the accident vehicle;

the map unit is connected with the interactive interface and is configured to acquire road data in a preset range around the accident site according to the input geographic identification; and

and the traffic data unit is connected with the interactive interface and is configured to acquire traffic flow data and traffic signal data of the accident site in a preset time period before and after the accident according to the geographic identification input through the interactive interface.

12. The system of claim 11, wherein the analysis module comprises:

a time determination unit configured to determine a preset time period before and after an accident occurs, an accident occurrence time, a plurality of reverse order analysis times from the accident occurrence time to an initial time of the preset time period, and a plurality of forward order analysis times from a forward order of the accident occurrence time to an end time of the preset time period, based on the acquired EDR data, the vehicle-mounted video data, and/or the vehicle-mounted travel record data;

the index data calculation unit is connected with the time determination unit and is configured to acquire the video image, the driving record data and/or the corresponding road/environment data at each analysis moment and combine the readable EDR data to obtain the driving index data, the working state data of the vehicle-related components and the road/environment data at each analysis moment; and

and the data integration unit is connected with the index data calculation unit and is configured to integrate the running index data, the working state data of the vehicle-related components and the road/environment data at each analysis moment according to a time line within a preset time period before and after an accident so as to form multi-dimensional running data.

13. The system according to claim 11, further comprising a display data processing module, connected at least with the analysis module, configured to process the driving data into one or more display data displayable by an information box, a graph and/or a cinematic.

14. The system of claim 12 or 13, further comprising:

the vehicle motion simulation module is respectively connected with the collection module and the analysis module and is configured to construct a motion simulation state of the accident vehicle on a road in a preset time period before and after the accident on the basis of the collected accident vehicle related data, the analyzed plurality of driving index data, the vehicle related component working state data and the road/environment data;

the accident environment simulation module is respectively connected with the collection module and the analysis module and is configured to construct a simulation environment where a current accident vehicle is positioned based on road data of an accident scene, traffic flow and signal data in a preset time period before and after the accident and road/environment data in a preset range around an accident site;

the fusion module is connected with the vehicle motion simulation module and the accident environment simulation module and is configured to fuse the dynamic simulation state of an accident vehicle on a road into a simulation environment according to a time line to obtain an accident simulation scene; and

a display rendering module connected with the fusion module and configured to render an accident simulation scene for display in the display screen based on display screen data of a terminal device.

15. The system according to claim 14, wherein the fusion module is connected to the display data processing module and configured to fuse one or more driving data in the form of an information box, a graph or a motion picture into the accident simulation scenario according to a timeline when displaying the accident simulation scenario.

16. The system of claim 14, wherein the vehicle motion simulation module further comprises:

a body model unit configured to build a body model based on the accident vehicle information or retrieve the body model from a database;

a vehicle body attitude unit configured to calculate vehicle body attitude data of the vehicle body in three dimensional directions at each analysis time based on vehicle type data and running index data of the accident vehicle; and

and the vehicle body correction unit is configured to determine a collision point based on the acquired vehicle image and the environment image of the accident scene, calculate stress data of a vehicle body structure based on one or more of accident vehicle driving data, vehicle related component working state data and road data of the accident vehicle, and correct a vehicle body related structure model according to the stress data to obtain a corrected vehicle body model.

17. The system according to claim 14, wherein when the accident environment simulation module obtains the simulation environment of more than two accident vehicles, the simulation environment of each accident vehicle is spliced to obtain an integral simulation environment; correspondingly, the fusion module fuses the dynamic simulation states of more than two accident vehicles on the road into the overall simulation environment according to the time line so as to obtain one or more road data in an accident simulation scene and a preset range around the accident site.

18. An accident analysis system terminal apparatus comprising an image capture device, a display screen and a traffic accident analysis system according to any one of claims 10 to 17.

19. An accident analysis system terminal device, which comprises an image acquisition device, a display screen and an accident analysis system client, wherein the accident analysis system client comprises:

a first communication module configured to communicate with a server;

20. An electronic device comprising an incident analysis system server, the incident analysis system server comprising:

the server data collection module is configured to acquire road traffic flow data, traffic signal data and vehicle type data within a preset range around an accident site; and

and the analysis module is connected with the second communication module and the server data collection module, and is configured to obtain multi-dimensional driving data of accident vehicles in preset time periods before and after an accident occurs based on accident vehicle related data in the preset time periods before and after the accident occurs, road data in a preset range around the accident occurrence place, traffic flow data on the road and traffic signal data, wherein the multi-dimensional driving data at least comprises various driving index data of the accident vehicles corresponding to the time, vehicle related component working state data and road/environment data where the accident vehicles are located, and the multi-dimensional driving data is sent to the client through the second communication module.

21. The electronic device of claim 20, wherein the incident analysis system server further comprises:

the vehicle motion simulation module is respectively connected with the server data collection module, the second communication module and the analysis module and is configured to construct a motion simulation state of the accident vehicle on a road in a preset time period before and after the accident based on the collected accident vehicle related data, the plurality of driving index data obtained by analysis, the vehicle related component working state data and the road/environment data;

the accident environment simulation module is respectively connected with the server data collection module, the second communication module and the analysis module and is configured to construct a simulation environment where a current accident vehicle is located based on road data of an accident scene, traffic flow and signal data in preset time periods before and after an accident occurs and road/environment data in a preset range around an incident place; and

and the fusion module is connected with the vehicle motion simulation module, the accident environment simulation module and the second communication module, is configured to fuse the dynamic simulation state of the accident vehicle on the road into a simulation environment according to a timeline to obtain an accident simulation scene, and sends the accident simulation scene data to the client through the second communication module.

22. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a traffic accident analysis system according to any one of claims 10 to 18, or implement a traffic accident analysis system client in a terminal device according to claim 19, or implement an accident analysis system server in an electronic device according to claim 20 or 21.

23. A computer program product, wherein it comprises computer program instructions which, when executed by a processor, implement a traffic accident analysis system according to any of claims 10 to 18, or implement a traffic accident analysis system client in a terminal device according to claim 19, or implement an accident analysis system server in an electronic device according to claim 20 or 21.