Virtual reality-based road traffic visual display method and system

Abstract

According to the virtual reality-based road traffic visual display method and system provided by the invention, the visual association relationship between the specified traffic real-time condition information label and the vehicle passing efficiency is determined according to the target road traffic visual description thread and the obtained values of the plurality of parameters; and determining a road traffic visual display result, so that a visual association relationship with gradient descriptive property can be solved no matter whether the traffic condition description data between the specified traffic real-time condition information label and the vehicle traffic efficiency has the gradient descriptive property or not. Therefore, the performance of the compression unit can be measured through the visual association relationship with gradient descriptive performance, so that the road traffic visual display result can be accurately realized, the vehicles can be managed according to the road traffic visual display result, and the passing efficiency of the vehicles is improved.

Description

Technical Field

[0001] The present application relates to the field of virtual reality and data display technology, and in particular to a road traffic visualization display method and system based on virtual reality. Background Art

[0002] Virtual reality technology (English name: Virtual Reality, abbreviated as VR), the term was first proposed by Jaron Lanier, the founder of VPLResearch in the United States in 1989. On November 27, 1990, Qian Xuesen translated virtual reality into "spiritual realm", also known as spiritual realm technology or virtual reality, which is a brand-new practical technology developed in the 20th century. Virtual reality technology encompasses computer, electronic information, and simulation technology. Its basic implementation method is mainly based on computer technology, using and integrating the latest developments of various high technologies such as three-dimensional graphics technology, multimedia technology, simulation technology, display technology, and servo technology. With the help of computers and other equipment, a realistic three-dimensional visual, tactile, olfactory and other sensory experiences are generated in the virtual world, so that people in the virtual world have an immersive feeling. With the continuous development of social productivity and science and technology, the demand for VR technology in all walks of life is growing.

[0003] As virtual reality application scenarios become more and more extensive, when virtual reality is combined with road traffic, virtual reality can more accurately display traffic conditions, which is more realistic. However, it is currently difficult to solve the problem of truthfully displaying real-time data. Therefore, a road traffic visualization method based on virtual reality is urgently needed to overcome the above problems. Summary of the invention

[0004] In order to improve the technical problems existing in the related technologies, the present application provides a road traffic visualization display method and system based on virtual reality.

[0005] In a first aspect, a method for visualizing road traffic based on virtual reality is provided, comprising: Obtaining a plurality of traffic condition description data between a specified traffic real-time condition information tag and a vehicle traffic efficiency, wherein the traffic condition description data includes a vehicle traffic efficiency value and a parameter description value of the specified traffic real-time condition information tag corresponding to the vehicle traffic efficiency value; Obtaining a target road traffic visualization description thread with gradient descriptiveness set for the specified real-time traffic status information label and vehicle traffic efficiency, wherein the target road traffic visualization description thread includes several parameters for characterizing a visualization display window of the road traffic visualization description thread; Solving the values ​​of the plurality of parameters according to the plurality of traffic condition description data and the target road traffic visualization description thread; According to the target road traffic visualization description thread and the values ​​of the several parameters, the visualization correlation relationship between the specified real-time traffic status information label and the vehicle traffic efficiency is determined, and the road traffic visualization presentation result is determined.

[0006] In this application, several traffic condition description data between the specified traffic real-time condition information label and the vehicle traffic efficiency are obtained, including: Using several derivative parameters to perform derivative processing on the reference real-time traffic data respectively, and obtaining derivative data corresponding to each derivative parameter; Generate traffic condition description data corresponding to each derived data according to the vehicle traffic efficiency statistics value of each derived data and the value of the specified derived capacity index; The plurality of traffic condition description data are obtained according to the traffic condition description data corresponding to each of the derived data.

[0007] It can be understood that, through the derived data corresponding to each derived parameter, a number of traffic condition description data between the specified real-time traffic condition information label and the vehicle traffic efficiency can be accurately obtained.

[0008] In the present application, according to the plurality of traffic condition description data and the target road traffic visualization description thread, solving the values ​​of the plurality of parameters includes: Performing original processing on the values ​​of the plurality of parameters according to the plurality of traffic condition description data to obtain original values ​​of the plurality of parameters; According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed based on the plurality of traffic condition description data to solve and obtain the values ​​of the plurality of parameters.

[0009] It can be understood that, based on the plurality of traffic condition description data and the target road traffic visualization description thread, the problem of insufficient computing power of the target road traffic visualization description thread is improved, so that the values ​​of the plurality of parameters can be solved more accurately.

[0010] In the present application, the several parameters include at least one of the following parameters: a first parameter used to characterize the maximum calculation value of the target road traffic visualization description thread, a second parameter used to characterize the minimum calculation value of the target road traffic visualization description thread, a third parameter used to characterize the moving vector of the road traffic visualization description thread curve corresponding to the target road traffic visualization description thread on the vehicle traffic efficiency highway route, and a fourth parameter used to characterize the degree of error change of the road traffic visualization description thread curve within a linear range.

[0011] In the present application, the values ​​of the plurality of parameters are processed in an original manner according to the plurality of traffic condition description data to obtain the original values ​​of the plurality of parameters, including at least one of the following: Determine the maximum value of the specified traffic real-time status information label in the plurality of traffic condition description data as the original value of the first parameter; Determine the minimum value of the specified real-time traffic status information label in the plurality of traffic condition description data as the original value of the second parameter; Determining the depolarized value of the vehicle traffic efficiency value covered by the plurality of traffic condition description data as the original value of the third parameter; The standard deviation of the vehicle traffic efficiency values ​​covered by the plurality of traffic condition description data is determined as the original value of the fourth parameter.

[0012] It can be understood that when the values ​​of the several parameters are initialized according to the several traffic condition description data, the problem of inaccurate initialization is improved, so that the original values ​​of the several parameters can be accurately obtained.

[0013] In the present application, according to the original values ​​of the several parameters, the target road traffic visualization description thread is integrated based on the several traffic condition description data to solve the values ​​of the several parameters, including any of the following methods: According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed by a decision function based on the plurality of traffic condition description data to obtain the values ​​of the plurality of parameters; According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed by a pseudo-decision function based on the plurality of traffic condition description data, so as to obtain the values ​​of the plurality of parameters; According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed by an optimization function based on the plurality of traffic condition description data to obtain the values ​​of the plurality of parameters; According to the original values ​​of the several parameters, the target road traffic visualization description thread is integrated and processed through a pyramid function based on the several traffic condition description data to solve and obtain the values ​​of the several parameters.

[0014] It can be understood that when the target road traffic visualization description thread is integrated based on the several traffic condition description data according to the original values ​​of the several parameters, the problem of inaccurate integration is improved, so that the values ​​of the several parameters can be accurately solved.

[0015] In the present application, the plurality of traffic condition description data between the designated traffic real-time status information tag and the vehicle traffic efficiency include: a plurality of traffic condition description data corresponding to the standard compression unit, and a plurality of traffic condition description data corresponding to the abnormal data compression unit; According to the target road traffic visualization description thread and the values ​​of the plurality of parameters, a visualization correlation relationship between the specified real-time traffic status information label and the vehicle traffic efficiency is determined, and a road traffic visualization display result is determined, including: Determine a first visual association relationship between a specified real-time traffic status information label corresponding to the standard compression unit and a vehicle traffic efficiency according to the target road traffic visualization description thread and values ​​of a plurality of parameters obtained by solving a plurality of traffic condition description data corresponding to the standard compression unit; According to the target road traffic visualization description thread and the values ​​of several parameters obtained by solving several traffic condition description data corresponding to the abnormal data compression unit, a second visualization association relationship between the specified traffic real-time condition information label corresponding to the abnormal data compression unit and the vehicle traffic efficiency is determined.

[0016] It can be understood that when determining the visual correlation between the specified real-time traffic status information label and the vehicle traffic efficiency based on the target road traffic visualization description thread and the values ​​of the several parameters, the problem of the influence caused by the values ​​of several parameters is avoided, thereby being able to accurately determine the road traffic visualization display result.

[0017] In the present application, the method further comprises: According to the first visual association relationship and the second visual association relationship, and the set vehicle traffic efficiency range, the depolarization traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit is calculated relative to the standard compression unit under the same vehicle traffic efficiency requirement.

[0018] It can be understood that the depolarization traffic efficiency can be obtained more accurately according to the first visualized association relationship and the second visualized association relationship and the set vehicle traffic efficiency range.

[0019] In the present application, according to the first visual association relationship and the second visual association relationship, and the set vehicle traffic efficiency range, the depolarization traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirement is calculated, including: According to the first visualization association relationship and the set vehicle traffic efficiency range, calculating a first vehicle traffic interval of a road traffic visualization description thread curve corresponding to the first visualization association relationship within the set vehicle traffic efficiency range; According to the second visualization association relationship and the set vehicle traffic efficiency range, calculating a second vehicle traffic interval of the road traffic visualization description thread curve corresponding to the second visualization association relationship within the set vehicle traffic efficiency range; Calculate the vehicle passage interval comparison result between the second vehicle passage interval and the first vehicle passage interval, and calculate the depolarization passage efficiency of the specified traffic real-time condition information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle passage efficiency requirement based on the vehicle passage interval comparison result and the vehicle passage efficiency range.

[0020] It can be understood that based on the first visual association relationship and the second visual association relationship, as well as the set vehicle traffic efficiency range, the problem of inaccurate calculation is improved, so that the depolarized traffic efficiency of the specified traffic real-time condition information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirements can be accurately calculated.

[0021] In the present application, the method further comprises: According to the first visualization association relationship and the second visualization association relationship, and the set specified real-time traffic status information label range, the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement is calculated.

[0022] In the present application, according to the first visualization association relationship and the second visualization association relationship, and the set specified real-time traffic status information label range, the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement is calculated, including: According to the first visualization association relationship and the set specified real-time traffic status information label range, a third vehicle passage section of the road traffic visualization description thread curve corresponding to the first visualization association relationship within the set specified real-time traffic status information label range is calculated; According to the second visualization association relationship and the set specified real-time traffic status information label range, a fourth vehicle passage section of the road traffic visualization description thread curve corresponding to the second visualization association relationship within the set specified real-time traffic status information label range is calculated; Calculate the vehicle passage interval comparison result between the fourth vehicle passage interval and the third vehicle passage interval, and calculate the average vehicle passage efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement based on the vehicle passage interval comparison result and the specified real-time traffic status information label range.

[0023] It can be understood that based on the first visualization association relationship and the second visualization association relationship, as well as the set specified traffic real-time status information label range, the problem of inaccurate elements is improved, so that the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified traffic real-time status information label requirements can be accurately calculated.

[0024] In a second aspect, a road traffic visualization display system based on virtual reality is provided, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0025] A road traffic visualization method and system based on virtual reality provided in an embodiment of the present application obtains a plurality of traffic condition description data between a specified traffic real-time status information label and a vehicle traffic efficiency, and a target road traffic visualization description thread with gradient descriptiveness set for the specified traffic real-time status information label and the vehicle traffic efficiency, and then solves the values ​​of a plurality of parameters covered in the target road traffic visualization description thread according to the plurality of traffic condition description data and the target road traffic visualization description thread, and determines the visualization association relationship between the specified traffic real-time status information label and the vehicle traffic efficiency according to the target road traffic visualization description thread and the values ​​of the plurality of obtained parameters, and determines the road traffic visualization display result, so that regardless of whether the traffic condition description data between the specified traffic real-time status information label and the vehicle traffic efficiency has gradient descriptiveness, a visualization association relationship with gradient descriptiveness can be solved, and then the performance of the compression unit can be measured by the visualization association relationship with gradient descriptiveness, so that the road traffic visualization display result can be accurately displayed, and the vehicle can be managed according to the road traffic visualization display result to improve the traffic efficiency of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 A flowchart of a road traffic visualization method based on virtual reality provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0029] See also Figure 1 , shows a method for visualizing road traffic based on virtual reality, which may include the technical solutions described in the following steps S501-S504.

[0030] In step S510, a plurality of traffic condition description data between a specified traffic real-time status information tag and a vehicle traffic efficiency is obtained, wherein the traffic condition description data includes a vehicle traffic efficiency value and a parameter description value of the specified traffic real-time status information tag corresponding to the vehicle traffic efficiency value.

[0031] For example, the real-time traffic information tag represents a vehicle condition description tag in a certain period of time, wherein the vehicle traffic efficiency represents the traffic condition of vehicles on the highway, such as how many vehicles pass through in one hour.

[0032] In a possible implementation, the process of obtaining a plurality of traffic condition description data between a specified real-time traffic condition information label and a vehicle traffic efficiency may be: using a plurality of derivative parameters to perform derivative processing on the reference real-time traffic data respectively, obtaining derivative data corresponding to each derivative parameter, and then generating traffic condition description data corresponding to each derivative data according to the vehicle traffic efficiency statistics of each derivative data and the value of the specified real-time traffic condition information label, and then obtaining a plurality of traffic condition description data according to the traffic condition description data corresponding to each derivative data. Optionally, the vehicle traffic efficiency statistics of each derivative data may be a vehicle traffic efficiency depolarization value, and the value of the specified real-time traffic condition information label of each derivative data may also be a depolarization value.

[0033] In step S520, a target road traffic visualization description thread with gradient descriptiveness set for the specified real-time traffic status information label and vehicle traffic efficiency is obtained, and the target road traffic visualization description thread includes several parameters for characterizing the visualization display window of the road traffic visualization description thread.

[0034] Exemplarily, a model for displaying the vehicle traffic conditions on a road section by a road traffic visualization description thread is similar to an image processing model.

[0035] In a possible implementation, the target road traffic visualization description thread may be a logistic regression road traffic visualization description thread, or may be other road traffic visualization description threads with gradient descriptiveness. Several parameters in the target road traffic visualization description thread may include at least one of the following parameters: a first parameter for characterizing the maximum calculated value of the target road traffic visualization description thread, a second parameter for characterizing the minimum calculated value of the target road traffic visualization description thread, a third parameter for characterizing the moving vector of the road traffic visualization description thread curve corresponding to the target road traffic visualization description thread on the vehicle traffic efficiency highway route, and a fourth parameter for characterizing the error variation degree of the road traffic visualization description thread curve within a linear range.

[0036] In step S530, values ​​of several parameters covered in the target road traffic visualization description thread are solved according to several traffic condition description data and the target road traffic visualization description thread.

[0037] In a possible implementation, when solving the values ​​of several parameters covered in the target road traffic visualization description thread according to several traffic condition description data and the target road traffic visualization description thread, the values ​​of the several parameters can be primitively processed according to the several traffic condition description data to obtain the original values ​​of the several parameters, and then according to the original values ​​of the several parameters, the target road traffic visualization description thread can be integrated based on the several traffic condition description data to solve the values ​​of the several parameters.

[0038] Optionally, when the values ​​of several parameters are initialized according to several traffic condition description data, the maximum value of the specified real-time traffic condition information label in the several traffic condition description data can be determined as the original value of the first parameter; the minimum value of the specified real-time traffic condition information label in the several traffic condition description data can be determined as the original value of the second parameter; the depolarization value of the vehicle traffic efficiency value covered by the several traffic condition description data can be determined as the original value of the third parameter; the standard deviation of the vehicle traffic efficiency value covered by the several traffic condition description data can be determined as the original value of the fourth parameter.

[0039] In a possible implementation, according to the original values ​​of several parameters, the target road traffic visualization description thread is integrated and processed based on several traffic condition description data to solve the values ​​of several parameters. The process can be: according to the original values ​​of several parameters, the target road traffic visualization description thread is integrated and processed based on several traffic condition description data through decision functions, quasi-decision functions, optimization functions, pyramid functions, etc. to solve the values ​​of several parameters.

[0040] In step S540, according to the target road traffic visualization description thread and the values ​​of several parameters, the visualization association relationship between the specified traffic real-time status information label and the vehicle traffic efficiency is determined, and the road traffic visualization presentation result is determined.

[0041] For example, the road traffic visualization display result can represent the description result after the communication situation is displayed, and the implemented traffic flow can be obtained. In a possible implementation, the values ​​of several parameters obtained can be substituted into the target road traffic visualization description thread to obtain a visualization correlation between a specified real-time traffic status information label and vehicle traffic efficiency, and determine a road traffic visualization display result.

[0042] In a possible implementation, if the performance between the standard compression unit and the abnormal data compression unit needs to be evaluated, then several traffic condition description data corresponding to the standard compression unit and several traffic condition description data corresponding to the abnormal data compression unit can be obtained according to the technical solution of the aforementioned embodiment. Specifically, for example, the standard compression unit can use several derivative parameters to perform derivative processing on the reference real-time traffic data respectively to obtain the derivative data corresponding to each derivative parameter, and then generate the traffic condition description data corresponding to each derivative data according to the vehicle traffic efficiency statistics of each derivative data and the value of the specified traffic real-time status information label, and then obtain the traffic condition description data corresponding to the standard compression unit according to the traffic condition description data corresponding to each derivative data.

[0043] For the abnormal data compression unit, the reference real-time traffic data can be derived by using several derivative parameters to obtain derivative data corresponding to each derivative parameter, and then the traffic condition description data corresponding to each derivative data is generated according to the vehicle traffic efficiency statistics of each derivative data and the value of the specified traffic real-time status information label, and then the traffic condition description data corresponding to each derivative data is obtained according to the traffic condition description data corresponding to each derivative data.

[0044] After obtaining a number of traffic condition description data corresponding to the standard compression unit and a number of traffic condition description data corresponding to the abnormal data compression unit, a first visual association relationship between the specified traffic real-time condition information label corresponding to the standard compression unit and the vehicle traffic efficiency can be determined according to the target road traffic visualization description thread and the values ​​of a number of parameters obtained by solving the number of traffic condition description data corresponding to the standard compression unit; and a second visual association relationship between the specified traffic real-time condition information label corresponding to the abnormal data compression unit and the vehicle traffic efficiency can be determined according to the target road traffic visualization description thread and the values ​​of a number of parameters obtained by solving the number of traffic condition description data corresponding to the abnormal data compression unit.

[0045] In a possible implementation, after determining the first visual association relationship between the specified traffic real-time status information label corresponding to the standard compression unit and the vehicle traffic efficiency, and the second visual association relationship between the specified traffic real-time status information label corresponding to the abnormal data compression unit and the vehicle traffic efficiency, the depolarized traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirement can be calculated based on the first visual association relationship and the second visual association relationship, and the set vehicle traffic efficiency range.

[0046] Optionally, the process of calculating the depolarized traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirement based on the first visualization association relationship and the set vehicle traffic efficiency range may include: calculating the first vehicle traffic interval of the road traffic visualization description thread curve corresponding to the first visualization association relationship within the set vehicle traffic efficiency range based on the first visualization association relationship and the set vehicle traffic efficiency range; calculating the second vehicle traffic interval of the road traffic visualization description thread curve corresponding to the second visualization association relationship within the set vehicle traffic efficiency range based on the second visualization association relationship and the set vehicle traffic efficiency range; calculating the vehicle traffic interval comparison result between the second vehicle traffic interval and the first vehicle traffic interval, and calculating the depolarized traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirement based on the vehicle traffic interval comparison result and the vehicle traffic efficiency range. For example, the depolarized traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirement is obtained by comparing the vehicle traffic interval comparison result with the span of the vehicle traffic efficiency range (i.e., the maximum value of the vehicle traffic efficiency range minus the minimum value of the vehicle traffic efficiency range).

[0047] In one possible implementation, after determining the first visual association relationship between the specified real-time traffic condition information label corresponding to the standard compression unit and the vehicle traffic efficiency, and the second visual association relationship between the specified real-time traffic condition information label corresponding to the abnormal data compression unit and the vehicle traffic efficiency, the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic condition information label requirement can be calculated based on the first visual association relationship and the second visual association relationship, and the set specified real-time traffic condition information label range.

[0048] Optionally, the process of calculating the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement according to the first visualization association relationship and the second visualization association relationship, and the set specified real-time traffic status information label range may include: calculating the third vehicle traffic interval of the road traffic visualization description thread curve corresponding to the first visualization association relationship within the set specified real-time traffic status information label range according to the first visualization association relationship and the set specified real-time traffic status information label range; calculating the fourth vehicle traffic interval of the road traffic visualization description thread curve corresponding to the second visualization association relationship within the set specified real-time traffic status information label range according to the second visualization association relationship and the set specified real-time traffic status information label range; calculating the vehicle traffic interval comparison result between the fourth vehicle traffic interval and the third vehicle traffic interval, and calculating the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement according to the vehicle traffic interval comparison result and the specified real-time traffic status information label range. For example, by comparing the vehicle travel interval comparison result with the span of the specified real-time traffic status information label range (i.e., the maximum value of the specified real-time traffic status information label range minus the minimum value of the specified real-time traffic status information label range), the average vehicle travel efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirements is obtained.

[0049] It can be seen that in the technical solution of the embodiment of the present application, regardless of whether the traffic condition description data between the specified real-time traffic status information label and the vehicle traffic efficiency has a gradient descriptive property, a visual association relationship with a gradient descriptive property can be solved, and then the performance of the compression unit can be measured by the visual association relationship with a gradient descriptive property, so that the road traffic visualization results can be accurately displayed, and the vehicle can be managed according to the road traffic visualization results to improve the vehicle traffic efficiency.

[0050] On the basis of the above, a road traffic visualization display device based on virtual reality is provided, and the device comprises: A knowledge fragment extraction module is used to perform knowledge fragment extraction processing on the example collapse hidden danger data to obtain secondary knowledge fragments and important knowledge fragments of the example collapse hidden danger data; A label building module, used to build secondary description labels according to the secondary knowledge fragments corresponding to the several example collapse hazard data, and to build important description labels according to the important knowledge fragments corresponding to the several example collapse hazard data; A knowledge fragment obtaining module is used to extract knowledge fragments from the collapse hazard data to be processed, and obtain secondary knowledge fragments and important knowledge fragments of the collapse hazard data to be processed; A tag analysis module, used for performing similarity analysis processing on the secondary description tags according to the secondary knowledge fragments of the collapse hazard data to be processed to obtain similar secondary description tags, and performing similarity analysis processing on the important description tags according to the important knowledge fragments of the collapse hazard data to be processed to obtain similar important description tags; The information module is used to determine the example collapse hazard data corresponding to the similar secondary description tags and at least part of the example collapse hazard data corresponding to the similar important description tags as the collapse hazard warning information of the collapse hazard data to be processed.

[0051] On the basis of the above, a road traffic visualization display system based on virtual reality is shown, which includes a processor and a memory that communicate with each other, and the processor is used to read and execute a computer program from the memory to implement the above method.

[0052] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0053] In summary, based on the above scheme, by obtaining a number of traffic condition description data between the specified real-time traffic condition information label and the vehicle traffic efficiency, and a target road traffic visualization description thread with gradient descriptiveness set for the specified real-time traffic condition information label and the vehicle traffic efficiency, then according to the several traffic condition description data and the target road traffic visualization description thread, solve the values ​​of several parameters covered in the target road traffic visualization description thread, and determine the visualization association relationship between the specified real-time traffic condition information label and the vehicle traffic efficiency according to the target road traffic visualization description thread and the values ​​of the obtained several parameters, and determine the road traffic visualization display result, so that regardless of whether the traffic condition description data between the specified real-time traffic condition information label and the vehicle traffic efficiency has gradient descriptiveness, a visualization association relationship with gradient descriptiveness can be solved, and then the performance of the compression unit can be measured by the visualization association relationship with gradient descriptiveness, so that the road traffic visualization display result can be accurately displayed, and the vehicle can be managed according to the road traffic visualization display result to improve the vehicle traffic efficiency.

[0054] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0055] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.

Claims

1. A road traffic visualization method based on virtual reality, characterized in that: include: Obtaining a plurality of traffic condition description data between a specified traffic real-time condition information tag and a vehicle traffic efficiency, wherein the traffic condition description data includes a vehicle traffic efficiency value and a parameter description value of the specified traffic real-time condition information tag corresponding to the vehicle traffic efficiency value; Obtaining a target road traffic visualization description thread with gradient descriptiveness set for the specified real-time traffic status information label and vehicle traffic efficiency, wherein the target road traffic visualization description thread includes several parameters for characterizing a visualization display window of the road traffic visualization description thread; Solving the values ​​of the plurality of parameters according to the plurality of traffic condition description data and the target road traffic visualization description thread; According to the target road traffic visualization description thread and the values ​​of the several parameters, the visualization correlation relationship between the specified real-time traffic status information label and the vehicle traffic efficiency is determined, and the road traffic visualization presentation result is determined.

2. The method for visualizing road traffic based on virtual reality according to claim 1, characterized in that: Obtain a number of traffic condition description data between the specified real-time traffic condition information label and the vehicle traffic efficiency, including: Using several derivative parameters to perform derivative processing on the reference real-time traffic data respectively, and obtaining derivative data corresponding to each derivative parameter; Generate traffic condition description data corresponding to each derived data according to the vehicle traffic efficiency statistics value of each derived data and the value of the specified derived capacity index; The plurality of traffic condition description data are obtained according to the traffic condition description data corresponding to each of the derived data.

3. The method for visualizing road traffic based on virtual reality according to claim 1, characterized in that: Solving the values ​​of the plurality of parameters according to the plurality of traffic condition description data and the target road traffic visualization description thread includes: Performing original processing on the values ​​of the plurality of parameters according to the plurality of traffic condition description data to obtain original values ​​of the plurality of parameters; According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed based on the plurality of traffic condition description data to solve and obtain the values ​​of the plurality of parameters.

4. The method for visualizing road traffic based on virtual reality according to claim 3 is characterized in that: The plurality of parameters include at least one of the following parameters: A first parameter for characterizing the maximum calculation value of the target road traffic visualization description thread, a second parameter for characterizing the minimum calculation value of the target road traffic visualization description thread, a third parameter for characterizing the moving vector of the road traffic visualization description thread curve corresponding to the target road traffic visualization description thread on the vehicle traffic efficiency highway route, and a fourth parameter for characterizing the degree of error change of the road traffic visualization description thread curve within a linear range.

5. The method for visualizing road traffic based on virtual reality according to claim 4, characterized in that: The values ​​of the plurality of parameters are processed in an original manner according to the plurality of traffic condition description data to obtain the original values ​​of the plurality of parameters, including at least one of the following: Determine the maximum value of the specified traffic real-time status information label in the plurality of traffic condition description data as the original value of the first parameter; Determine the minimum value of the specified real-time traffic status information label in the plurality of traffic condition description data as the original value of the second parameter; Determining the depolarized value of the vehicle traffic efficiency value covered by the plurality of traffic condition description data as the original value of the third parameter; The standard deviation of the vehicle traffic efficiency values ​​covered by the plurality of traffic condition description data is determined as the original value of the fourth parameter.

6. The method for visualizing road traffic based on virtual reality according to claim 3, characterized in that: According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated based on the plurality of traffic condition description data to obtain the values ​​of the plurality of parameters, including any of the following methods: According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed by a decision function based on the plurality of traffic condition description data to obtain the values ​​of the plurality of parameters; According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed by a pseudo-decision function based on the plurality of traffic condition description data, so as to obtain the values ​​of the plurality of parameters; According to the original values ​​of the plurality of parameters, the target road traffic visualization description thread is integrated and processed by an optimization function based on the plurality of traffic condition description data to obtain the values ​​of the plurality of parameters; According to the original values ​​of the several parameters, the target road traffic visualization description thread is integrated and processed through a pyramid function based on the several traffic condition description data to solve and obtain the values ​​of the several parameters.

7. The method for visualizing road traffic based on virtual reality according to any one of claims 1 to 6, characterized in that: The plurality of traffic condition description data between the designated real-time traffic condition information label and the vehicle traffic efficiency include: a plurality of traffic condition description data corresponding to the standard compression unit and a plurality of traffic condition description data corresponding to the abnormal data compression unit; According to the target road traffic visualization description thread and the values ​​of the plurality of parameters, a visualization correlation relationship between the specified real-time traffic status information label and the vehicle traffic efficiency is determined, and a road traffic visualization display result is determined, including: Determine a first visual association relationship between a specified real-time traffic status information label corresponding to the standard compression unit and a vehicle traffic efficiency according to the target road traffic visualization description thread and values ​​of a plurality of parameters obtained by solving a plurality of traffic condition description data corresponding to the standard compression unit; Determine a second visualization association relationship between a specified real-time traffic condition information label corresponding to the abnormal data compression unit and vehicle traffic efficiency according to the target road traffic visualization description thread and values ​​of several parameters obtained based on several traffic condition description data corresponding to the abnormal data compression unit; The method further comprises: According to the first visual association relationship and the second visual association relationship, and the set specified real-time traffic status information label range, the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement is calculated, According to the first visualization association relationship and the second visualization association relationship, and the set specified real-time traffic status information label range, the average vehicle traffic efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement is calculated, including: According to the first visualization association relationship and the set specified real-time traffic status information label range, a third vehicle passage section of the road traffic visualization description thread curve corresponding to the first visualization association relationship within the set specified real-time traffic status information label range is calculated; According to the second visualization association relationship and the set specified real-time traffic status information label range, a fourth vehicle passage section of the road traffic visualization description thread curve corresponding to the second visualization association relationship within the set specified real-time traffic status information label range is calculated; Calculate the vehicle passage interval comparison result between the fourth vehicle passage interval and the third vehicle passage interval, and calculate the average vehicle passage efficiency description result of the abnormal data compression unit relative to the standard compression unit under the same specified real-time traffic status information label requirement based on the vehicle passage interval comparison result and the specified real-time traffic status information label range.

8. The method for visualizing road traffic based on virtual reality according to claim 7, characterized in that: The method further comprises: According to the first visual association relationship and the second visual association relationship, and the set vehicle traffic efficiency range, the depolarization traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit is calculated relative to the standard compression unit under the same vehicle traffic efficiency requirement.

9. The method for visualizing road traffic based on virtual reality according to claim 8, characterized in that: According to the first visual association relationship and the second visual association relationship, and the set vehicle traffic efficiency range, calculating the depolarization traffic efficiency of the specified traffic real-time status information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle traffic efficiency requirement, including: According to the first visualization association relationship and the set vehicle traffic efficiency range, calculating a first vehicle traffic interval of a road traffic visualization description thread curve corresponding to the first visualization association relationship within the set vehicle traffic efficiency range; According to the second visualization association relationship and the set vehicle traffic efficiency range, calculating a second vehicle traffic interval of the road traffic visualization description thread curve corresponding to the second visualization association relationship within the set vehicle traffic efficiency range; Calculate the vehicle passage interval comparison result between the second vehicle passage interval and the first vehicle passage interval, and calculate the depolarization passage efficiency of the specified traffic real-time condition information label of the abnormal data compression unit relative to the standard compression unit under the same vehicle passage efficiency requirement based on the vehicle passage interval comparison result and the vehicle passage efficiency range.

10. A road traffic visualization display system based on virtual reality, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 9.

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