Method and system for monitoring and evaluating running state of highway network special for passenger car

Abstract

The invention relates to a passenger car special highway network operation state monitoring and evaluation method and system, and the method comprises the steps: obtaining driving data transmitted by an electronic toll collection terminal, and analyzing the traffic conditions of a position corresponding to the driving data, the traffic conditions including smoothness, congestion and stop; segmenting the route in the road network according to the traffic condition, wherein the segments comprise a normal segment, a congestion segment and a stop segment; determining an initial position point of a congestion section and an initial position point of a stop section; acquiring an image at the initial position point, and recording the image as a reference image; and analyzing the content included in the reference image and giving a reason according to the content in the reference image. According to the method and the system for monitoring and evaluating the running state of the highway network special for the passenger car, the running state of the highway network is analyzed by combining the electronic toll collection terminal and the image processing mode, so that abnormal road sections are found and reasons are given, and the management of the highway network is more intelligent.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a three-dimensional point cloud data modeling method and server for road and bridge slope inspection. Background Art

[0002] The dedicated expressway network for passenger cars, also known as the light expressway network, refers to an expressway system designed specifically for passenger cars. Its characteristics include full closure, full interchange, strict speed and vehicle restrictions, aiming to ensure high-speed and safe driving of passenger cars.

[0003] The operation status monitoring of the dedicated expressway network for passenger cars mainly relies on video monitoring facilities and traffic flow monitoring facilities, etc. These facilities can collect real-time traffic data on the expressway, such as vehicle flow, vehicle speed, traffic density, etc., providing a basis for subsequent evaluation.

[0004] Operation status monitoring and evaluation mainly refers to the evaluation of the status of the vehicles on the road network, with the goal of ensuring that the vehicles on the road network can travel smoothly. Currently, the most commonly used technical means include personnel patrols, image patrols along the route, and processing according to the alarm content. Personnel patrols are low in frequency and time-consuming, and are not suitable for daily use; image patrols along the route require the deployment of dense equipment, which is costly to implement; and the alarm content has a certain lag. Summary of the invention

[0005] The present application provides a method and system for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars, which uses a combination of electronic toll collection terminals and image processing methods to analyze the operating status of the expressway network, so as to discover abnormal sections and give reasons, making the management of the expressway network more intelligent.

[0006] The above-mentioned purpose of the present application is achieved through the following technical solutions: In a first aspect, the present application provides a method for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars, comprising: Obtain driving data sent by the electronic toll collection terminal and analyze the traffic conditions at the location corresponding to the driving data, including smooth, congested and stopped traffic conditions; The routes in the road network are segmented according to traffic conditions, including normal segments, congested segments and stop segments; Determine the starting point of the congested section and the starting point of the stopped section; Get the image at the starting point and record it as the reference image; Parse what is included in the reference image and give reasons based on the content in the reference image.

[0007] In a possible implementation manner of the first aspect, analyzing the traffic conditions at a location corresponding to the driving data includes: The driving data is divided in time series to obtain driving data groups, each of which corresponds to a fixed time length; Parsing the data in the driving data group, including the number of objects and the duration of object signals; When the duration of the object signal is greater than or equal to the set time, an image at a corresponding position in the driving data group is acquired and the image is analyzed to obtain the object included in the image and the moving speed of the object; The traffic conditions at the corresponding positions of the driving data group are given according to the objects and their moving speeds, and the traffic conditions include smooth, congested and stopped; Counting the traffic conditions of the driving data group included in the same driving data to obtain statistical results; The traffic conditions at the location corresponding to the driving data are given based on the statistical results.

[0008] In a possible implementation of the first aspect, providing the traffic condition at a location corresponding to the driving data according to the statistical result includes: Counting the number of driving data groups with the same traffic conditions belonging to the same driving data to obtain a quantity result; According to the quantity results, the traffic conditions of the corresponding location are given; When the traffic conditions at the corresponding location cannot be given based on the quantity results, the continuity of the traffic conditions belonging to the same driving data group is calculated; The traffic conditions at the corresponding location are given according to the degree of continuity.

[0009] In a possible implementation manner of the first aspect, calculating the continuity of driving data groups with the same traffic conditions belonging to the same driving data includes: The driving data set is represented by points, and the traffic conditions of the driving data set are used as attributes of the points; Use line segments on the time series to connect adjacent points with the same attributes; Use weighted calculation method to calculate the length of points and line segments to obtain calculation results; The calculation result is used as the continuity of the driving data group with the same traffic conditions belonging to the same driving data.

[0010] In a possible implementation manner of the first aspect, parsing content included in the reference image and providing a reason according to the content in the reference image includes: Mark the objects in the reference image and obtain the object's movement trajectory; Group the moving trajectories of the objects according to the lanes to obtain moving trajectory groups; Counting the similarities of the movement trajectories in the movement trajectory group to obtain similarity statistical results; Mark problem areas based on similarity statistics.

[0011] In a possible implementation manner of the first aspect, calculating the similarity of movement trajectories in the movement trajectory group includes: Determine the starting point and the ending point of the moving trajectory; Use lanes to segment the portion of the moving trajectory between the starting position point and the ending position point; Assigning direction to each segment of the moving trajectory; Calculate the similarity between any two moving trajectories based on their directions.

[0012] In a possible implementation manner of the first aspect, marking the problem area according to the similarity statistical result includes: Mark all start and end positions in the reference image; Connect the corresponding starting position and ending position with a line segment to obtain an analysis line segment; A guide segment is created on the analysis segment according to the relative angle between the starting position and the ending position, and the guide segment is located at the midpoint of the analysis segment; Move at least one guide line segment so that the guide line segments tend to overlap and / or generate a collection area, and the problem area is located on the guide line segments that tend to overlap or on the collection area; The ratio of the movement amount of the guide wire segment to the length of the analysis line segment where the guide wire segment is located is calculated according to the proportion.

[0013] In a second aspect, the present application provides a device for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars, comprising: A data acquisition and processing unit, used to acquire the driving data sent by the electronic toll collection terminal, and analyze the traffic conditions at the location corresponding to the driving data, the traffic conditions including smooth, congested and stopped; A segmentation processing unit, used to segment the routes in the road network according to traffic conditions, the segments including normal segments, congested segments and stop segments; A position determination unit, used to determine the starting position point of the congested section and the starting position point of the stopped section; An image acquisition unit, used to acquire an image at a starting point, recorded as a reference image; The image parsing unit is used to parse the content included in the reference image and give reasons according to the content in the reference image.

[0014] In a third aspect, the present application provides a system for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars, the system comprising: one or more memories for storing instructions; and One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium, the computer-readable storage medium comprising: Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0016] In a fifth aspect, the present application provides a computer program product, comprising program instructions. When the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0017] In a sixth aspect, the present application provides a chip system, which includes a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0018] The chip system may be composed of chips, or may include chips and other discrete devices.

[0019] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the steps of a method for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars provided in this application.

[0021] Figure 2 This is a schematic diagram of dividing driving data groups provided by the present application.

[0022] Figure 3 It is a schematic diagram of the movement trajectory provided by this application.

[0023] Figure 4 This is a schematic diagram of the principle of obtaining an analysis segment provided by the present application, and the analysis segment is represented by an arrow. DETAILED DESCRIPTION

[0024] In order to more clearly understand the technical solution in this application, the relevant contents are first introduced.

[0025] This application provides a method for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars. Figure 1In some examples, the method for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars disclosed in this application includes the following steps: S101, obtaining driving data sent by the electronic toll collection terminal, and analyzing the traffic conditions at the location corresponding to the driving data, where the traffic conditions include smooth, congested, and stopped; S102, segmenting the routes in the road network according to traffic conditions, wherein the segments include normal segments, congested segments, and stop segments; S103, determining the starting point of the congested section and the starting point of the stopped section; S104, obtaining an image at the starting point, and recording it as a reference image; S105, parsing the content included in the reference image and giving reasons according to the content in the reference image.

[0026] In general, the technical solution provided by this application first uses an electronic toll collection terminal (ETC, installed on a gantry) to collect driving data on the road network, and then analyzes the collected driving data. The collected data is sent to an analysis server for processing, and the execution subject of this application is the analysis server.

[0027] In step S101, the analysis server first obtains the driving data sent by the electronic toll collection terminal, and then analyzes the traffic conditions at the location corresponding to the driving data. The traffic conditions are divided into three types, namely, smooth, congested and stopped.

[0028] Then in step S102, the routes in the road network are segmented according to the traffic conditions. There are also three types of segments, namely, normal segment, congested segment and stop segment. The normal segment corresponds to a situation where the vehicle travels within a specified speed range, the congested segment corresponds to a situation where the actual driving speed of the vehicle is lower than the specified speed range but greater than a specified smaller speed threshold, and the stop segment corresponds to a situation where the actual driving speed of the vehicle is zero or less than a specified smaller speed threshold.

[0029] Then, in step S103, the starting point of the congestion segment and the starting point of the stop segment are determined. The purpose of determining the starting point is to find the cause of the congestion or the cause of the stop. Then, in step S104, the image at the starting point is obtained and recorded as a reference image. Finally, in step S105, the content included in the reference image is analyzed and the cause is given according to the content in the reference image.

[0030] The reference image may be obtained by using an image sensor on a gantry or by using unmanned patrol equipment (drone, unmanned patrol vehicle).

[0031] Overall, the method for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars provided in this application can conduct real-time analysis of the operating status of the dedicated expressway network and discover the causes of congestion or stoppage. After determining the cause, images can be used for rapid analysis and identification of the cause, facilitating timely intervention of subsequent processing measures.

[0032] In some examples, the specific method of analyzing the traffic conditions at the location corresponding to the driving data is: S201, dividing the driving data in time series to obtain driving data groups, each driving data group corresponds to a fixed time length; S202, parsing the data in the driving data group, the parsing includes the number of objects and the duration of the object signals; S203, when the duration of the object signal is greater than or equal to the set time, acquiring an image at a corresponding position in the driving data group and analyzing the image to obtain the object included in the image and the moving speed of the object; S204, providing the traffic conditions at the corresponding position of the driving data set according to the object and the moving speed of the object, the traffic conditions including smooth, congested and stopped; S205, counting the traffic conditions of the driving data group included in the same driving data to obtain a statistical result; S206, providing the traffic conditions at the location corresponding to the driving data according to the statistical results.

[0033] In step S201 to step S206, the driving data is first divided in time series to obtain multiple driving data groups, such as Figure 2 As shown, each driving data group corresponds to the same time length. Then the driving data group is analyzed. The specific analysis method is: The number of objects and object signal duration included in the driving data group are obtained. The number of objects refers to the ETC equipment communicating with the terminal on the gantry, and the object signal duration refers to the communication time between the terminal on the gantry and the ETC equipment. The longer the communication time, the slower the driving speed of the object.

[0034] The driving data set can reflect the specific conditions of the objects (vehicles) passing through the gantry in different time periods. When the duration of the object signal is greater than or equal to the set time, it means that the speed of the object passing through the gantry begins to decrease. At this time, the image at the corresponding position in the driving data set is obtained and the image is analyzed. The analysis needs to obtain the object included in the image and the moving speed of the object.

[0035] The specific method of obtaining the image at the corresponding position in the driving data set is to use the surveillance camera on the gantry. The reason for using the driving data set for triggering here is that the key image can be directly obtained. After obtaining the object and the moving speed of the object, the traffic conditions at the corresponding position of the driving data set are given according to the object and the moving speed of the object. The traffic conditions include smooth, congested and stopped.

[0036] Then, the traffic conditions of the driving data group included in the same driving data are counted to obtain statistical results, and finally the traffic conditions of the corresponding positions of the driving data are given according to the statistical results.

[0037] The specific method of giving the traffic conditions at the corresponding location of the driving data based on the statistical results is: Counting the number of driving data groups with the same traffic conditions belonging to the same driving data to obtain a quantity result; According to the quantity results, the traffic conditions of the corresponding location are given; When the traffic conditions at the corresponding location cannot be given based on the quantity results, the continuity of the traffic conditions belonging to the same driving data group is calculated; The traffic condition at the corresponding location given by the quantity result means that the proportion of one condition (smooth, congested and stopped) is greater than the proportions of the other two conditions, and this proportion is obviously advantageous, for example, greater than a certain set reference ratio.

[0038] When it is impossible to make a judgment based on the number of results, the continuity is used for judgment. The lower the continuity, the more complicated the traffic situation is. The continuity here refers to the time when a situation occurs. When a situation (smooth, congested or stopped) occurs continuously, it means that the situation can be used as a representative. Otherwise, specific analysis is required.

[0039] The specific method of calculating the continuity of the driving data group with the same traffic conditions belonging to the same driving data is as follows: The driving data set is represented by points, and the traffic conditions of the driving data set are used as attributes of the points; Use line segments on the time series to connect adjacent points with the same attributes; Use weighted calculation method to calculate the length of points and line segments to obtain calculation results; The calculation result is used as the continuity of the driving data group with the same traffic conditions belonging to the same driving data.

[0040] In this processing method, calculations are performed based on points and line segment lengths. Points represent isolated situations, and line segment lengths represent continuous situations. If there are both points and line segments in a driving data group, it is necessary to obtain a weighted calculation result and use the calculation result as the continuity of the driving data group with the same traffic conditions belonging to the same driving data.

[0041] When calculating continuity, both the point and line segment lengths are included in the calculation.

[0042] The obtained continuity is a numerical value, which needs to be compared with a specified numerical value to determine whether the driving data corresponding to the continuity is unblocked, congested, or stopped.

[0043] In some examples, specific ways of parsing the contents included in the reference image and giving reasons based on the contents in the reference image are as follows: S301, marking an object in a reference image and obtaining a moving trajectory of the object; S302, grouping the movement trajectories of the objects according to the lanes to obtain movement trajectory groups; S303, counting the similarities of the movement trajectories in the movement trajectory group to obtain similarity statistics results; S304: Mark the problem area according to the similarity statistics result.

[0044] In step S301 to step S304, the moving trajectory of the object ( Figure 3 The problem area is the reason that causes the object's movement trajectory to change. The similarity of the movement trajectories in the movement trajectory group is statistically analyzed as follows: Determine the starting point and the ending point of the moving trajectory; Use lanes to segment the portion of the moving trajectory between the starting position point and the ending position point; Assigning direction to each segment of the moving trajectory; Calculate the similarity between any two moving trajectories based on their directions.

[0045] The segmentation method is that when the moving trajectory changes from one lane to another lane, the moving trajectory is segmented; the specific method of assigning a direction to each segment of the moving trajectory is that if the object (vehicle) changes lanes to the right, then the direction assigned to the segment is right, otherwise the direction assigned to the segment is left.

[0046] The advantage of this method of assigning direction is that it ignores the local differences in the movement trajectory and instead handles it in a lane-changing manner.

[0047] The specific method of marking the problem area based on the similarity statistics is as follows: Mark all start and end positions in the reference image; Connect the corresponding starting position and ending position with a line segment to obtain an analysis line segment; A guide segment is created on the analysis segment according to the relative angle between the starting position and the ending position, and the guide segment is located at the midpoint of the analysis segment; Move at least one guide line segment so that the guide line segments tend to overlap and / or generate a collection area, and the problem area is located on the guide line segments that tend to overlap or on the collection area; The ratio of the movement amount of the guide wire segment to the length of the analysis line segment where the guide wire segment is located is calculated according to the proportion.

[0048] In the above method, the main purpose is to unify the causes that cause the movement trajectory to change, such as Figure 4 For example, when an abnormal situation occurs in a lane, the following vehicles in the lane need to change lanes. When the moving trajectories of more vehicles are counted, the area can be discovered quickly.

[0049] When moving guide segments, you need to move as few guide segments as possible.

[0050] The reason for using the analytical method is that the lanes are easily blocked by vehicles, especially when there are many vehicles, and the road conditions cannot be obtained. At this time, the method of using mobile trajectories for analysis is obviously more appropriate.

[0051] The present application also provides a device for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars, comprising: A data acquisition and processing unit, used to acquire the driving data sent by the electronic toll collection terminal, and analyze the traffic conditions at the location corresponding to the driving data, the traffic conditions including smooth, congested and stopped; A segmentation processing unit, used to segment the routes in the road network according to traffic conditions, the segments including normal segments, congested segments and stop segments; A position determination unit, used to determine the starting position point of the congested section and the starting position point of the stopped section; An image acquisition unit, used to acquire an image at a starting point, recorded as a reference image; The image parsing unit is used to parse the content included in the reference image and give reasons according to the content in the reference image.

[0052] Furthermore, analyzing the traffic conditions at the location corresponding to the driving data includes: The driving data is divided in time series to obtain driving data groups, each of which corresponds to a fixed time length; Parsing the data in the driving data group, including the number of objects and the duration of object signals; When the duration of the object signal is greater than or equal to the set time, an image at a corresponding position in the driving data group is acquired and the image is analyzed to obtain the object included in the image and the moving speed of the object; The traffic conditions at the corresponding positions of the driving data group are given according to the objects and their moving speeds, and the traffic conditions include smooth, congested and stopped; Counting the traffic conditions of the driving data group included in the same driving data to obtain statistical results; The traffic conditions at the location corresponding to the driving data are given based on the statistical results.

[0053] Furthermore, the traffic conditions at the location corresponding to the driving data are given according to the statistical results, including: Counting the number of driving data groups with the same traffic conditions belonging to the same driving data to obtain a quantity result; According to the quantity results, the traffic conditions of the corresponding location are given; When the traffic conditions at the corresponding location cannot be given based on the quantity results, the continuity of the traffic conditions belonging to the same driving data group is calculated; The traffic conditions at the corresponding location are given according to the degree of continuity.

[0054] Further, calculating the continuity of the driving data group with the same traffic conditions belonging to the same driving data includes: The driving data set is represented by points, and the traffic conditions of the driving data set are used as attributes of the points; Use line segments on the time series to connect adjacent points with the same attributes; Use weighted calculation method to calculate the length of points and line segments to obtain calculation results; The calculation result is used as the continuity of the driving data group with the same traffic conditions belonging to the same driving data.

[0055] Further, parsing the content included in the reference image and giving reasons according to the content in the reference image includes: Mark the objects in the reference image and obtain the object's movement trajectory; Group the moving trajectories of the objects according to the lanes to obtain moving trajectory groups; Counting the similarities of the movement trajectories in the movement trajectory group to obtain similarity statistical results; Mark problem areas based on similarity statistics.

[0056] Furthermore, the similarity of the movement trajectories in the movement trajectory group is statistically analyzed including: Determine the starting point and the ending point of the moving trajectory; Use lanes to segment the portion of the moving trajectory between the starting position point and the ending position point; Assigning direction to each segment of the moving trajectory; Calculate the similarity between any two moving trajectories based on their directions.

[0057] Furthermore, marking the problem area according to the similarity statistics results includes: Mark all start and end positions in the reference image; Connect the corresponding starting position and ending position with a line segment to obtain an analysis line segment; A guide segment is created on the analysis segment according to the relative angle between the starting position and the ending position, and the guide segment is located at the midpoint of the analysis segment; Move at least one guide line segment so that the guide line segments tend to overlap and / or generate a collection area, and the problem area is located on the guide line segments that tend to overlap or on the collection area; The ratio of the movement amount of the guide wire segment to the length of the analysis line segment where the guide wire segment is located is calculated according to the proportion.

[0058] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0059] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0060] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0061] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0062] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0063] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0064] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0065] It should also be understood that in various embodiments of the present application, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present application.

[0066] It should also be understood that in the various embodiments of the present application, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0067] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a computer-readable storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0068] The present application also provides a system for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars, the system comprising: one or more memories for storing instructions; and One or more processors are used to call and run the instructions from the memory to execute the method as described above.

[0069] The present application also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0070] The present application also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0071] The chip system may be composed of chips, or may include chips and other discrete devices.

[0072] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0073] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0074] Optionally, the computer instructions are stored in a memory.

[0075] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0076] It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0077] The non-volatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0078] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

[0079] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for monitoring and evaluating the operating status of a dedicated expressway network for passenger cars, characterized in that: include: Obtain driving data sent by the electronic toll collection terminal and analyze the traffic conditions at the location corresponding to the driving data, including smooth, congested and stopped traffic conditions; The routes in the road network are segmented according to traffic conditions, including normal segments, congested segments and stop segments; Determine the starting point of the congested section and the starting point of the stopped section; Get the image at the starting point and record it as the reference image; Parsing what is included in the reference image and giving reasons based on the content in the reference image; The traffic conditions corresponding to the driving data are analyzed including: The driving data is divided in time series to obtain driving data groups, each of which corresponds to a fixed time length; Parsing the data in the driving data group, including the number of objects and the duration of object signals; When the duration of the object signal is greater than or equal to the set time, an image at a corresponding position in the driving data group is acquired and the image is analyzed to obtain the object included in the image and the moving speed of the object; The traffic conditions at the corresponding positions of the driving data group are given according to the objects and their moving speeds, and the traffic conditions include smooth, congested and stopped; Counting the traffic conditions of the driving data group included in the same driving data to obtain statistical results; The traffic conditions at the location corresponding to the driving data are given according to the statistical results; The traffic conditions at the location corresponding to the driving data given according to the statistical results include: Counting the number of driving data groups with the same traffic conditions belonging to the same driving data to obtain a quantity result; According to the quantity results, the traffic conditions of the corresponding location are given; When the traffic conditions at the corresponding location cannot be given based on the quantity results, the continuity of the traffic conditions belonging to the same driving data group is calculated; The traffic conditions at the corresponding location are given according to the degree of continuity.

2. The method for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars according to claim 1 is characterized in that: Calculating the continuity of the driving data group with the same traffic conditions belonging to the same driving data includes: The driving data set is represented by points, and the traffic conditions of the driving data set are used as attributes of the points; Use line segments on the time series to connect adjacent points with the same attributes; Use weighted calculation method to calculate the length of points and line segments to obtain calculation results; The calculation result is used as the continuity of the driving data group with the same traffic conditions belonging to the same driving data.

3. The method for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars according to claim 1 is characterized in that: Parsing what is included in the reference image and giving reasons based on the content in the reference image includes: Mark the objects in the reference image and obtain the object's movement trajectory; Group the moving trajectories of the objects according to the lanes to obtain moving trajectory groups; Counting the similarities of the movement trajectories in the movement trajectory group to obtain similarity statistical results; Mark problem areas based on similarity statistics.

4. The method for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars according to claim 3 is characterized in that: The similarity of the movement trajectories in the movement trajectory group is statistically analyzed as follows: Determine the starting point and the ending point of the moving trajectory; Use lanes to segment the portion of the moving trajectory between the starting position point and the ending position point; Assigning direction to each segment of the moving trajectory; Calculate the similarity between any two moving trajectories based on their directions.

5. The method for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars according to claim 4 is characterized in that: Marking problem areas based on similarity statistics include: Mark all start and end positions in the reference image; Connect the corresponding starting position and ending position with a line segment to obtain an analysis line segment; A guide segment is created on the analysis segment according to the relative angle between the starting position and the ending position, and the guide segment is located at the midpoint of the analysis segment; Move at least one guide line segment so that the guide line segments tend to overlap and / or generate a collection area, and the problem area is located on the guide line segments that tend to overlap or on the collection area; The ratio of the movement amount of the guide wire segment to the length of the analysis line segment where the guide wire segment is located is calculated according to the proportion.

6. A device for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars, executing the method for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars as claimed in any one of claims 1 to 5, characterized in that: include: A data acquisition and processing unit, used to acquire the driving data sent by the electronic toll collection terminal, and analyze the traffic conditions at the location corresponding to the driving data, the traffic conditions including smooth, congested and stopped; A segmentation processing unit, used to segment the routes in the road network according to traffic conditions, the segments including normal segments, congested segments and stop segments; A position determination unit, used to determine the starting position point of the congested section and the starting position point of the stopped section; An image acquisition unit, used to acquire an image at a starting point, recorded as a reference image; The image parsing unit is used to parse the content included in the reference image and give reasons according to the content in the reference image.

7. A system for monitoring and evaluating the operation status of a dedicated expressway network for passenger cars, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to any one of claims 1 to 5 is executed.

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