Traffic simulation method and related equipment

Abstract

The invention discloses a traffic simulation method and related equipment, which are used for obtaining a more accurate simulation result of a construction scheme. The method is applied to a cloud platform, and the cloud platform stores at least one implemented second construction scheme, establishes communication connection with an edge node and carries a simulation program. The traffic parameters corresponding to the at least one second construction scheme are obtained by processing the collection parameters collected by the edge devices connected with the edge nodes by the edge nodes. The method comprises the steps of obtaining a first design parameter which corresponds to a first construction scheme and indicates a design mode of a diversion road section; and according to the first design parameters, determining a target construction scheme meeting similar conditions with the first construction scheme from the at least one second construction scheme. The traffic parameters corresponding to the target construction scheme are input to the simulation program, a simulation result of the first construction scheme is obtained, and the traffic parameters corresponding to the target construction scheme represent the real traffic state of the implemented target construction scheme.

Description

[0001] This application claims the priority of the Chinese patent application filed with the State Intellectual Property Office of China on June 13, 2023, with application number 202310698817.X and invention name “A method for improving the simulation accuracy of diversion construction scenarios”, the entire contents of which are incorporated by reference in this application. Technical Field

[0002] The embodiments of the present application relate to the field of cloud computing, and in particular to a traffic simulation method and related equipment. Background Art

[0003] With the rapid development of the economy, the number of vehicles has also increased rapidly. The carrying capacity of many roads can no longer meet travel needs. Therefore, it is necessary to rebuild or expand the roads. Reconstruction and expansion will inevitably have a certain impact on road traffic and reduce the efficiency of high-speed traffic. How to choose a reasonable reconstruction and expansion plan has become an urgent problem to be solved.

[0004] In traditional methods, highway reconstruction and expansion plans are mainly designed based on human experience, which makes it difficult to predict the traffic conditions of the construction section and cannot be simulated through simulation programs. When selecting construction plans, they are mainly based on human experience, which has limitations and cannot provide accurate suggestions, resulting in errors in the selection of construction plans. Summary of the invention

[0005] The present application provides a traffic simulation method and related equipment, which makes the input of the simulation program closer to the real situation, so the simulation results obtained by the simulation program are more accurate, and provides an accurate basis for the selection of construction plans, so that a more reasonable construction plan can be selected to renovate and expand the road.

[0006] In a first aspect, the present application provides a traffic simulation method, which is applied to a cloud platform, wherein the cloud platform establishes a communication connection with an edge node, and the cloud platform stores at least one second construction plan that has been implemented. The traffic parameters corresponding to the at least one second construction plan are obtained by processing the collection parameters collected by the edge node on the edge device, and the edge device is connected to the edge node. In addition, the cloud platform is equipped with a simulation program, and the method includes:

[0007] The cloud platform can obtain the first design parameter corresponding to the first construction scheme, and the first design parameter indicates the design method of the diverted road section, and the diverted road section surrounds the construction road section. Specifically, the cloud platform can provide an interface to obtain the first design parameter input by the user through the interface. The so-called construction road section refers to the road section that is under construction or to be under construction, and passing vehicles will not pass through the construction road section. The diverted road section refers to the road section that the vehicle can pass through, and the diverted road section can also be understood as an alternative road section of the construction road section. According to the first design parameter, the cloud platform can determine the target construction scheme that meets similar conditions with the first construction scheme from at least one second construction scheme. Since the second construction scheme is an implemented construction scheme, the various parameters corresponding to the second construction scheme are parameters that have been truly practiced and have reference value. The parameters corresponding to the second construction scheme will be described below, and will not be repeated here. The cloud platform inputs the traffic parameters corresponding to the target construction scheme into the simulation program to obtain the simulation results of the first construction scheme. The traffic parameters corresponding to the target construction scheme are included in the parameters corresponding to the target construction scheme, and the traffic state represented by the parameters is not only the real traffic state of the target construction scheme, but also the estimated traffic state of the diverted road section. That is to say, the traffic parameters corresponding to the target construction plan can be used to estimate the traffic status when the first construction plan is implemented, thereby providing a reference for the selection of the construction plan. Among them, the diverted section includes at least one of a diverted conversion section, a diverted driving section, or a diverted recovery section. Accordingly, there are multiple possibilities for the first design parameter, including at least one of a first parameter corresponding to the diverted conversion section, a second parameter corresponding to the diverted driving section, or a third parameter corresponding to the diverted recovery section. Exemplarily, assuming that the diverted section includes a diverted conversion section and a diverted driving section, then correspondingly, the first design parameter includes a first parameter and a second parameter.

[0008] It can be seen from the above technical solutions that the present application has the following advantages: the cloud platform can obtain the first design parameter of the first construction solution, and determine the target construction solution similar to the first construction solution from at least one second construction solution according to the first design parameter, and use the traffic parameter corresponding to the target construction solution as the input of the simulation program. Since the target construction solution is similar to the first construction solution, the traffic state represented by the traffic state parameter corresponding to the target construction solution can simulate the possible real traffic state of the first construction solution, which is also closer to the real execution state of the first construction solution. The input of the simulation program is made closer to the real situation, so the simulation result obtained by the simulation program is also more accurate. It provides an accurate basis for the selection of the construction solution, and can select a more reasonable construction solution to renovate and expand the road. In addition, considering that there may be multiple situations in the construction solution to be constructed (i.e., the first construction solution) in actual application, the road section included in the corresponding diversion section also has multiple possibilities, so the first design parameter defined also has multiple possibilities accordingly. Thereby, different construction solutions can be flexibly matched, enriching the application scenarios of the technical solution of the present application.

[0009] In some optional implementations of the first aspect, the cloud platform will also obtain traffic parameters corresponding to the target construction plan from the edge node, and the traffic parameters are obtained by the edge node processing the collection parameters collected by the edge device. In other words, the traffic simulation method provided in the present application can be applied in a cloud-edge environment, in which the cloud platform is connected to the edge node, and the edge node is connected to the edge device. The edge device is used to collect road traffic flow, obtain collection parameters, and send the collection parameters to the edge node. The edge node is used to process the collection parameters, obtain traffic parameters, and send the traffic parameters to the cloud platform. Among them, the edge node and the edge device can be integrated or can be independent devices, which is not limited here.

[0010] In some optional implementations of the first aspect, the parameters corresponding to each second construction scheme in at least one second construction scheme include at least one second design index, wherein each second design index is a weighted result of the traffic parameters corresponding thereto. That is to say, there are multiple possibilities for the traffic parameters corresponding to the second design index, including at least one of the parameters corresponding to the diversion conversion section, the parameters corresponding to the diversion driving section, or the parameters corresponding to the diversion recovery section. In other words, there are also multiple possibilities for the section type corresponding to the second design index. In addition, the second design index is used for similarity matching. The cloud platform determines the target construction scheme that meets similar conditions with the first construction scheme based on the first design parameter, including determining the first design index corresponding to the first design parameter. Then, based on the similarity between the first design index and at least one second design index, the target construction scheme is determined from at least one second construction scheme.

[0011] In the present application, when determining a target construction scheme similar to the first construction scheme to be executed based on the first design parameter, considering that there are multiple possibilities for the parameters included in the first design parameter, there are also multiple possibilities for the first design index used for similarity matching. Then, when determining the target construction scheme, it is more in line with the needs of actual applications to proceed according to the specific first design index, and it can also further improve the accuracy of the determined target construction scheme.

[0012] In some optional implementations of the first aspect, since there are multiple possibilities for the first design parameter, there are also multiple implementations for determining the first design index corresponding to the first design parameter. Exemplarily, in a scheme where the first design parameter includes the first parameter, the cloud platform can determine that the first design index includes the weighted result of the first parameter. Then at this time, based on the similarity between the first design index and at least one second design index, the target construction scheme is determined, including similarity matching between the first design index and at least one second design index corresponding to the diversion conversion section. If the first index exists in at least one second design index corresponding to the diversion conversion section, the cloud platform can determine that the target construction scheme includes the construction scheme of the diversion conversion section corresponding to the first index. Among them, the absolute value of the difference between the first index and the weighted result of the first parameter is less than the first similarity threshold.

[0013] In the present application, when the first design scheme includes a diversion section, the first design index is determined to include the weighted result of the first parameter. At this time, when determining the target construction scheme, it is only necessary to compare it with the second design index with the diversion section in the second construction scheme. This can not only reduce the workload of the cloud platform and thus reduce the occupancy rate of computing resources, but also ensure the similarity between the target construction scheme and the first construction scheme, thereby enhancing the reference significance of the target construction scheme.

[0014] In some optional implementations of the first aspect, in a solution where the first design parameter also includes a second parameter, the cloud platform can determine that the first design index also includes a weighted result of the second parameter. At this time, based on the similarity between the first design index and at least one second design index, a target construction solution is determined, including similarity matching the first design index with at least one second design index corresponding to the diverted driving section. If a second index exists in at least one second design index corresponding to the diverted driving section, the cloud platform can determine that the target construction solution also includes a construction solution for the diverted driving section corresponding to the second index. The absolute value of the difference between the second index and the weighted result of the second parameter is less than a second similarity threshold.

[0015] In the present application, when the first design scheme includes a diverted driving section, the first design index is determined to include the weighted result of the second parameter. At this time, when determining the target construction scheme, it is compared with the second design index with the diverted driving section in the second construction scheme. This can not only reduce the workload of the cloud platform and thus reduce the occupancy rate of computing resources, but also ensure the similarity between the target construction scheme and the first construction scheme, thereby enhancing the reference significance of the target construction scheme.

[0016] In some optional implementations of the first aspect, in a solution where the first design parameter also includes a third parameter, the cloud platform can determine that the first design index also includes a weighted result of the third parameter. At this time, based on the similarity between the first design index and at least one second design index, a target construction plan is determined, including similarity matching the first design index with at least one second design index corresponding to the diversion recovery section. If there is a third index in at least one second design index corresponding to the diversion recovery section, the cloud platform can determine that the target construction plan also includes a construction plan for the diversion driving section corresponding to the third index. Wherein, the absolute value of the difference between the third index and the weighted result of the third parameter is less than a third similarity threshold.

[0017] In an embodiment of the present application, when the first design scheme includes a diversion and restoration section, the first design index is determined to include a weighted result of the third parameter. At this time, when determining the target construction scheme, it is compared with the second design index of the second construction scheme having the diversion and restoration section. This can not only reduce the workload of the cloud platform and thus reduce the occupancy rate of computing resources, but also ensure the similarity between the target construction scheme and the first construction scheme, thereby enhancing the reference significance of the target construction scheme.

[0018] In some optional implementations of the first aspect, each section in the first construction scheme can also be treated as a whole and compared with the second construction scheme in the cloud platform that also includes the corresponding section. Specifically, if the first design parameter includes at least two of the first parameter, the second parameter or the third parameter, then the first parameter, the second parameter or the third parameter are weighted to obtain the first design index. The first design index is matched with at least one second design index corresponding to the same parameter for similarity. If there is a fourth index in the at least one second design index, the cloud platform can determine that the second construction scheme corresponding to the fourth index is the target construction scheme. Among them, the absolute value of the difference between the fourth index and the first design index is less than the fourth similarity threshold, and the section type corresponding to the fourth index is the same as the section type corresponding to the first design parameter. Exemplarily, it is assumed that the first design parameter includes a first parameter corresponding to the diversion conversion section and a second parameter corresponding to the diversion driving section. Then when performing similarity matching, the first design index can be compared with at least one second design index corresponding to the diversion conversion section and the diversion driving section to determine the target construction scheme.

[0019] In the embodiment of the present application, when the diverted road section included in the first construction plan has multiple road section types, each road section type can be compared separately to determine the target construction plan corresponding to the road section, or multiple road sections can be compared as a whole, enriching the implementation method and application scenarios of the technical solution of the present application. At the same time, when the overall comparison is made, it is compared with the second construction plan in the cloud platform that includes the same road section type as the first construction plan, and the second construction plan including different road section types can be screened out, thereby reducing the workload of the cloud platform and reducing the occupation of computing resources.

[0020] In some optional implementations of the first aspect, each construction scheme in at least one second construction scheme includes a second design parameter, and the second design parameter is used to indicate the design method of the diverted road section in the second construction scheme. The cloud platform can also determine the target construction scheme by comparing the first design parameter and at least one set of second design indexes. That is, if there is a third design parameter in at least one set of second design parameters included in at least one second construction scheme, the cloud platform can determine that the second construction scheme corresponding to the third design parameter is the target construction scheme. The third design parameter is the same or similar to the first design parameter.

[0021] In the present application, the cloud platform can also determine the target construction plan by comparing the first design parameter and the second design parameter. Compared with processing the first design parameter to obtain the first design index and then comparing the first design index and the second design index, the processing steps are reduced, the consumption of computing resources is further reduced, and efficiency is improved.

[0022] In some optional implementations of the first aspect, traffic parameters may also be obtained in other ways. Exemplarily, a large number of design parameters and corresponding traffic parameters may be accumulated, and the design parameters may be used as variables to solve a general function to obtain the corresponding traffic parameters. For example, by using an artificial intelligence (AI) model, the first design parameter of the first construction plan is input into the AI ​​model to obtain the corresponding traffic parameters.

[0023] In some optional implementations of the first aspect, the traffic parameters corresponding to the target construction plan include at least one of the traffic volume, average speed, vehicle type ratio, time and space occupancy, or average speed of different vehicle types of the target section, and the target section includes at least one of a diversion section, a diversion driving section, or a diversion recovery section.

[0024] In some optional implementations of the first aspect, the first parameter includes at least one of the angle of the diversion section, the number of lanes of the diversion section, the width of the lane of the diversion section, the number of lanes before the diversion section is converted, the length of the diversion section, or the speed limit of the diversion section. The second parameter includes at least one of the number of lanes of the diversion section, the width of the lane of the diversion section, the length of the diversion section, or the speed limit of the diversion section. The third parameter includes at least one of the angle of the diversion recovery section, the number of lanes of the diversion recovery section, the width of the lane of the diversion recovery section, or the number of lanes after the diversion recovery section is restored, the length of the diversion recovery section, or the speed limit of the diversion section.

[0025] In this application, there are multiple possibilities for traffic parameters and design parameters, which respectively reflect different traffic conditions and design methods, and can be flexibly applied to different scenario requirements, enriching the application scenarios of the technical solution of this application.

[0026] The second aspect of the present application provides a cloud platform, the cloud platform establishes a communication connection with an edge node, and the cloud platform stores at least one second construction plan that has been implemented, and the traffic parameters corresponding to the at least one second construction plan are obtained by processing the collection parameters collected by the edge device by the edge node, and the edge device is connected to the edge node. The cloud platform includes:

[0027] Simulation module, used to run simulation programs.

[0028] The parameter management module is used to: obtain a first design parameter corresponding to the first construction plan, the first design parameter indicating a design method of the diverted road section, and the diverted road section surrounds the construction section. According to the first design parameter, determine a target construction plan that meets similar conditions as the first construction plan from at least one second construction plan.

[0029] The simulation parameter extraction module is also used to input the traffic parameters corresponding to the target construction plan into the simulation program to obtain the simulation result of the first construction plan. The traffic parameters corresponding to the target construction plan represent the actual traffic status of the implemented target construction plan.

[0030] The diverted route section includes at least one of a diverted route conversion section, a diverted route driving section, or a diverted route recovery section;

[0031] The first design parameter includes at least one of a first parameter corresponding to the diversion conversion section, a second parameter corresponding to the diversion driving section, or a third parameter corresponding to the diversion recovery section.

[0032] It should be noted that the second aspect or any implementation method of the second aspect is a device implementation corresponding to the first aspect or any implementation method of the first aspect, and the description in the first aspect or any implementation method of the first aspect is applicable to the second aspect or any implementation method of the second aspect, and will not be repeated here.

[0033] A third aspect of the present application provides a computing device cluster, comprising at least one computing device, each computing device comprising a processor and a memory; the processor of at least one computing device is used to execute instructions stored in the memory of at least one computing device, so that the computing device cluster implements the method disclosed in the first aspect and any possible implementation of the first aspect.

[0034] A fourth aspect of the present application provides a computer program product comprising instructions, which, when executed by a computer device cluster, enables the computer device cluster to implement the method disclosed in the first aspect and any possible implementation manner of the first aspect.

[0035] A fifth aspect of the present application provides a computer-readable storage medium, comprising computer program instructions. When the computer program instructions are executed by a computing device cluster, the computing device cluster executes the method disclosed in the first aspect and any possible implementation of the first aspect.

[0036] The beneficial effects shown in the second to fifth aspects of the present application are similar to those of the first aspect and any possible implementation method of the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of a system architecture provided for an embodiment of the present application;

[0038] Figure 2 Another schematic diagram of a system architecture provided for an embodiment of the present application;

[0039] Figure 3 A flow chart of a traffic simulation method provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of a construction area provided for an embodiment of the present application;

[0041] Figure 5 Another schematic diagram of a flow chart of a traffic simulation method provided in an embodiment of the present application;

[0042] Figure 6 A schematic diagram of the structure of the cloud platform provided in the embodiment of the present application;

[0043] Figure 7 A schematic diagram of a structure of a computing device provided in an embodiment of the present application;

[0044] Figure 8 A schematic diagram of the structure of a computing device cluster provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The embodiment of the present application provides a traffic simulation method and related equipment, and the traffic simulation method is applied to a cloud platform, and at least one second construction plan that has been implemented is stored in the cloud platform. The cloud platform can obtain the first design parameter of the first construction plan, and determine the target construction plan that is similar to the first construction plan from at least one second construction plan according to the first design parameter, and use the traffic parameters corresponding to the target construction plan as the input of the simulation program. Since the target construction plan is similar to the first construction plan, the traffic state represented by the traffic state parameters corresponding to the target construction plan can simulate the possible real traffic state of the first construction plan, which is also closer to the real execution state of the first construction plan. The input of the simulation program is made closer to the actual situation, so the simulation result obtained by the simulation program is also more accurate. It provides an accurate basis for the selection of the construction plan, and can select a more reasonable construction plan to renovate and expand the road.

[0046] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0047] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged in appropriate circumstances, which is only to describe the distinction mode adopted by the objects of the same attribute in the embodiments of the present application when describing. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment containing a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment. In addition, "at least one" refers to one or more, and "multiple" refers to two or more. "And / or", describes the association relationship of associated objects, indicating that three relationships can exist, for example, A and / or B, can represent: A exists alone, A and B exist simultaneously, and B exists alone, wherein A, B can be singular or plural. The character " / " generally represents that the associated objects before and after are a kind of "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0048] First, see Figure 1 , Figure 1 Schematic diagram of the system architecture of an embodiment of the present application.

[0049] like Figure 1 As shown, the cloud platform 30 may provide interfaces related to cloud computing services, such as configuration pages (i.e., interfaces) or application programming interfaces (APIs) for users to access cloud services. As the top-level object for managing cloud services and / or cloud resources, users use the client 10 to log in to the cloud platform 30 via the Internet 20 using the account and password registered on the cloud platform 30 to configure and use cloud services, which are provided by the infrastructure managed by the cloud platform 30. The cloud platform 30 manages the infrastructure, which includes multiple cloud data centers located in different regions, with each region having at least one cloud data center. For example Figure 1 The region 1 shown includes cloud data center 1 and cloud data center 2, and the region 2 includes cloud data center 3 and cloud data center 4. Each cloud data center is provided with multiple servers, and service instances are running on the servers.

[0050] Among them, the business instance is an instance belonging to the user for running its business, including one or any combination of virtual machines, containers, and dedicated hosts. A virtual machine (VM) refers to a complete computer system with complete hardware system functions that runs in a completely isolated environment and is simulated by software. When creating a virtual machine in a server, part of the hard disk and memory capacity of the physical machine needs to be used as the hard disk and memory capacity of the virtual machine. Each virtual machine has an independent hard disk and operating system, and the user of the virtual machine can operate the virtual machine like using a server. Container is a virtualization technology in computer operating systems. This technology allows processes to run in a relatively independent and isolated environment (including independent file systems, namespaces, resource views, etc.), thereby simplifying the software deployment process, enhancing the portability and security of the software, and improving the utilization of system resources. Dedicated host (DeH) refers to dedicated physical host resources that users can enjoy exclusively. Users create cloud servers on dedicated hosts to meet their higher requirements for isolation, security, and performance. Users of dedicated hosts do not need to share the physical resources of the host with other users.

[0051] In the embodiment of the present application, a traffic simulation service is deployed in the business instance, and the user purchases the cloud service on the cloud platform 30 through the client 10. In summary, the traffic simulation service provided by the cloud platform 30 can determine the input parameters of the simulation program based on the parameters input by the user, and obtain the simulation results. The user then determines the appropriate construction plan from the simulation results.

[0052] Next, the cloud platform provided in the embodiment of the present application is briefly described. Figure 2 , Figure 2 A schematic diagram of the system architecture provided for an embodiment of the present application.

[0053] like Figure 2 As shown, the traffic simulation method provided in the embodiment of the present application can be applied in a cloud-edge environment, in which the cloud platform establishes a communication connection with the edge node, and the edge node establishes a communication connection with the edge device.

[0054] Edge devices, also known as edge-cloud sensing devices, are used to collect road traffic flow, specifically including collecting traffic flow parameters in construction areas (including road diversion sections and construction sections). It can be understood that the edge devices collect traffic flow parameters during the implementation of the construction plan, which means that the collected parameters obtained by the edge devices are real parameters, which represent the real traffic status during the implementation of the construction plan. Optionally, in actual applications, edge devices can be radars, cameras, coil detectors, and other devices that can collect traffic flow parameters, which are not limited here. The edge device sends the collected parameters to the edge node.

[0055] The edge node, also known as the edge computing unit, is used to obtain the collection parameters from the edge device, process the collection parameters, obtain the traffic parameters, and send the traffic parameters to the cloud platform.

[0056] Optionally, the edge node and edge device may be an integrated physical device or an independent device, which is not specifically limited here.

[0057] The cloud platform can obtain traffic parameters from edge nodes and provide users with a management interface to manage various parameters. In addition, the cloud platform also has the following capabilities: managing design parameters and traffic parameters in various construction plans; calculating the design index of each construction plan; comparing the design parameters or design index of the plan to be implemented with the implemented plan to determine the similarity of the plan to be implemented and the simulation parameters of the plan to be implemented; performing simulation, etc.

[0058] In some optional implementations, the edge device may also establish a communication connection with the cloud platform. The cloud platform may send instructions to the edge device to indicate the specific content of the collection parameters collected by the edge device, thereby realizing edge-cloud collaboration. Optionally, the specific content of the collection parameters may also be preset in the edge device, which is not specifically limited here.

[0059] In some optional implementations, the specific content of the traffic parameters can be preset in the edge node; or the cloud platform can send instructions to the edge node, which defines the traffic parameters that the edge node is to send to the cloud platform. In the latter implementation, more emphasis is placed on edge-cloud collaboration, which can quickly accumulate data.

[0060] In addition, Figure 2 In the illustrated embodiment, the user can also maintain the cloud platform, and the user can define acquisition parameters, design parameters, or input background data of the simulation program through the configuration interface or API, etc. After the cloud platform obtains the simulation results, it can also be displayed to the user.

[0061] based on Figure 1 and Figure 2 The architecture shown in the figure, the embodiment of the present application provides a traffic simulation method, which is applied to the cloud platform. Figure 3 , Figure 3 A flow chart of a traffic simulation method provided in an embodiment of the present application includes:

[0062] 301. Obtain a first design parameter corresponding to the first construction plan, where the first design parameter indicates a design method for the diverted road section.

[0063] The first construction plan can be called a plan to be executed or a plan to be constructed. The cloud platform can obtain the first design parameter input by the user through the configuration interface or API. The first design parameter expresses the design idea of ​​the first construction plan. During the process of road reconstruction or expansion, the construction section needs to be constructed and vehicles cannot enter the construction section. Design a diversion section around the construction section, that is, the diversion section surrounds the construction section. Vehicles can drive on the diversion section to ensure the normal passage of vehicles.

[0064] For clarity, see Figure 4 , Figure 4 A schematic diagram of a construction area provided for an embodiment of the present application.

[0065] like Figure 4 As shown, the traditional definitions and parameters of construction areas mostly refer to the definitions in GB 5768, which divides the construction area into warning area, upstream transition area, buffer area, downstream transition area, and termination area on each one-way street. GB5768 also recommends parameters such as the length and speed limit of each area.

[0066] The impact of the aforementioned parameters on traffic conditions cannot be directly matched, and the implementation of this application redefines the construction area, which includes a construction section and a diversion section, and the diversion section surrounds the construction section. The diversion section includes at least one of a diversion conversion section, a diversion driving section, or a diversion recovery section. The diversion conversion section serves as the starting section of the construction area, connecting the unconstructed area. When entering the construction area, the vehicle changes the driving direction and enters the diversion section from the section before the diversion. The diversion driving section connects the diversion conversion area, usually parallel to the construction section. The diversion recovery section connects the diversion driving area and the unconstructed area, and the vehicle leaves the diversion section by changing the driving direction.

[0067] It should also be noted that in the same diversion section, the overall driving direction of the diversion section, the diversion driving section and the diversion section is the same. Figure 4 In the illustrated embodiment, the overall driving direction of the diversion section, diversion driving section and diversion recovery section included in the diversion section 1 is from right to left. In a construction plan, one or more diversion roads may be included, and the specific details are not limited here. For example, Figure 4 In the embodiment shown, two diversion sections with different driving directions are included, which are marked Figure 4 The diversion section 1 with the driving direction from right to left above and the one marked on Figure 4 The following is a diversion section 2 with a driving direction from left to right.

[0068] Since there are multiple possibilities for the diversion section, correspondingly, the parameter type of the first design parameter also has multiple possibilities, including at least one of a first parameter corresponding to the diversion conversion section, a second parameter corresponding to the diversion driving section, or a third parameter corresponding to the diversion recovery section.

[0069] exist Figure 4 In the illustrated embodiment, the diversion section includes a diversion conversion section, a diversion driving section, and a diversion recovery section. Accordingly, the parameter type of the first design parameter includes a first parameter, a second parameter, and a third parameter.

[0070] The first parameter includes at least one of the diversion section angle, the number of lanes in the diversion section, the lane width of the diversion section, the number of lanes before the diversion section, the length of the diversion section, or the speed limit of the diversion section. The diversion section angle refers to the angle between the diversion direction and the original direction of travel, which is generally expressed as an acute angle, for example Figure 4 ∠a in is the angle of the diversion section in diversion section 2. The lane width of the diversion section refers to the width of a single lane in the diversion section. The product of the number of lanes in the diversion section and the lane width of the diversion section represents the width of the diversion section. The number of lanes before the diversion section is the number of lanes in the unconstructed area connected to the diversion section in the driving direction of the diversion section. For example, Figure 4 In the implemented example, the number of lanes in the diversion section and the number of lanes before the diversion section of the diversion section 2 are both 2. The speed limit of the diversion section includes the maximum speed limit and / or the minimum speed limit of the diversion section.

[0071] The second parameter includes at least one of the number of lanes of the diverted driving section, the width of the lanes of the diverted driving section, the length of the diverted driving section, or the speed limit of the diverted driving section. The parameters included in the second parameter are similar to the first parameter, and can be referred to the description of the first parameter, which will not be repeated here.

[0072] The third parameter includes at least one of the following: the angle of the diversion recovery section, the number of lanes in the diversion recovery section, the lane width of the diversion recovery section, or the number of lanes after the diversion recovery section is restored, the length of the diversion recovery section, or the speed limit of the diversion driving section. Among them, the angle of the diversion recovery section refers to the angle between the driving direction before restoration and the driving direction of the restoration section, that is, the angle between the diversion driving section and the diversion recovery section, usually expressed as an acute angle. The angle of the diversion recovery section may be the same as or different from the angle of the diversion conversion section, and is not specifically limited here. The number of lanes after the diversion recovery section is restored indicates the number of lanes in the unconstructed area connected to the diversion recovery section in the driving direction of the diversion recovery section. For example, in Figure 4In the implemented example, the number of lanes in the diversion recovery section and the number of lanes after the diversion recovery section of the diversion section 2 are both 2. The remaining parameters are similar to the first parameter mentioned above, and can refer to the description of the first parameter, which will not be repeated here.

[0073] In the embodiment of the present application, considering that there may be multiple situations of the to-be-constructed scheme (i.e., the first construction scheme) in actual application, the corresponding diverted road section also has multiple possibilities, so the defined first design parameter also has multiple possibilities accordingly. At the same time, each diverted road section has multiple parameters, which can represent the situation of the diverted road section from different dimensions, so that different construction schemes can be flexibly matched, enriching the application scenarios of the technical solution of the present application.

[0074] 302. According to the first design parameter, determine a target construction plan from at least one second construction plan that meets similar conditions as the first construction plan.

[0075] At least one second construction plan that has been implemented is stored in the cloud platform. The "implemented" here means that the second construction plan is a construction plan that has been actually applied. All kinds of parameters corresponding to each second construction plan are parameters that are actually collected or processed, and have reference value and reference significance.

[0076] In an embodiment of the present application, when determining a target construction scheme that meets similar conditions as the first construction scheme from at least one second construction scheme based on the first design parameter, only the first design parameter and the design parameters of each second construction scheme may be compared; or the first design parameter may be processed to obtain a design index, and then the design index of the first design scheme may be compared with the design index of each second construction scheme. The possible situations are described below.

[0077] 1. Comparison of the design index of the first construction scheme with the design index of each second construction scheme.

[0078] Each second construction plan stored in the cloud platform may include at least one second design index, and each second design index is a weighted result of the traffic parameter corresponding to it. In other words, there are multiple possibilities for the traffic parameter corresponding to the second design index, including at least one of the parameters corresponding to the diversion conversion section, the parameters corresponding to the diversion driving section, or the parameters corresponding to the diversion recovery section. In other words, there are also multiple possibilities for the section type corresponding to the second design index. In addition, the second design index is used for similarity matching.

[0079] For example, assuming that the road section corresponding to the second construction plan includes a diversion section and a diversion driving section, the second construction plan may include two second design indexes, which correspond to the diversion section and the diversion driving section respectively. The second construction plan may also include three second design indexes, which correspond to the diversion section, the diversion driving section, the diversion section and the diversion driving section respectively, that is, there is one design index corresponding to the overall plan of the second construction plan.

[0080] In summary, according to the first design parameter, determining a target construction scheme that satisfies a similar condition to the first construction scheme from at least one second construction scheme includes: determining a first design index corresponding to the first design parameter. Then, according to the similarity between the first design index and at least one second design index corresponding to the at least one second construction scheme, determining the target construction scheme from the at least one second construction scheme.

[0081] In the embodiment of the present application, when determining a target construction scheme similar to the first construction scheme to be executed based on the first design parameter, considering that there are multiple possibilities for the parameters included in the first design parameter, there are also multiple possibilities for the first design index used for similarity matching. Then, when determining the target construction scheme, it is more in line with the needs of actual applications to proceed according to the specific first design index, and the accuracy of the determined target construction scheme can also be further improved.

[0082] Next, the process of determining the target construction scheme from at least one second construction scheme based on the similarity between the first design index and at least one second design index corresponding to at least one second construction scheme is described in detail. Since there are multiple possibilities for the parameters corresponding to the first design index in the first construction scheme, there are multiple possibilities for the road sections included in the diversion section in the first construction scheme, which may include a single road section or multiple road sections. Then there are also multiple possibilities for the specific implementation schemes, which are described below respectively.

[0083] 1. The first construction plan includes a single road section.

[0084] 1.1 The first construction plan includes diverting and converting the road section.

[0085] In some optional implementations, the diversion section of the first construction scheme may include a diversion conversion section, and in this case, the first design parameter includes a first parameter. In this case, the cloud platform may perform weighted processing on the first parameter to obtain a first design index corresponding to the first design parameter. That is, in this scheme, the first design index includes a weighted result of the first parameter.

[0086] As mentioned above, the first parameter includes at least one of the angle of the diversion section, the number of lanes in the diversion section, the width of the lanes in the diversion section, the number of lanes before the diversion section is converted, the length of the diversion section, or the speed limit of the diversion section. The weight of each parameter can be determined according to the needs of the actual application, and is not specifically limited here. For example, considering that the number of lanes in the diversion section, the width of the lanes in the diversion section, and the angle of the diversion section have a greater impact on vehicle driving and traffic flow, the weights of these parameters can be set higher than the other parameters. Among them, the weight of the number of lanes in the diversion section can be greater than the weights of the other two parameters.

[0087] In this embodiment, since the first design index corresponds to the diversion section, when comparing the first design index with at least one second design index, it can only be compared with the second design index corresponding to the diversion section in the second construction plan, rather than all the design indexes in the second construction plan. This can also reduce the workload of the cloud platform and save computing resources. If there is a first index in at least one second design index corresponding to the diversion section in the cloud platform, the cloud platform will determine that the target construction plan includes the construction plan of the diversion section corresponding to the first index. Among them, the weighted result of the first index and the first parameter meets the similarity condition, which is specifically manifested as the absolute value of the difference between the first index and the weighted result of the first parameter is less than the first similarity threshold. The value of the first similarity threshold is determined according to the needs of the actual application, and is not specifically limited here. It can be understood that for the scheme with higher accuracy requirements, the value of the first similarity threshold is smaller. In addition, when there are multiple second design indices whose absolute values ​​of the difference with the weighted result of the first parameter are less than the first similarity threshold, it can be determined that the second design index with the smallest absolute value of the difference is the first index.

[0088] In addition, it should be noted that the target construction plan includes the construction plan for the diversion section corresponding to the first index, considering that the second construction plan stored in the cloud platform may include other diversion sections in addition to the diversion section. When the first construction plan includes a diversion section, the first design index is compared with at least one second design index corresponding to the diversion section type in the cloud platform, and the determined target construction plan is also the construction plan for the diversion section. If the second construction plan corresponding to the first index includes multiple design indices, it means that the second construction plan includes multiple sections. When determining the target construction plan, only the construction plan in the diversion section of the second construction plan is selected.

[0089] In an embodiment of the present application, when the first design scheme includes a diversion section, the first design index is determined to include a weighted result of the first parameter. At this time, when determining the target construction scheme, it is only necessary to compare it with the second design index of the second construction scheme with the diversion section. This can not only reduce the workload of the cloud platform and thus reduce the occupancy rate of computing resources, but also ensure the similarity between the target construction scheme and the first construction scheme, thereby enhancing the reference significance of the target construction scheme.

[0090] 1.2 The first construction plan includes rerouting the driving section.

[0091] In some optional implementations, the diverted road section of the first construction solution may include a diverted driving section, in which case the first design parameter includes the second parameter. In this case, the cloud platform may perform weighted processing on the second parameter to obtain a first design index corresponding to the first design parameter. That is, in this solution, the first design index includes the weighted result of the second parameter.

[0092] As mentioned above, the second parameter includes at least one of the number of lanes in the diverted driving section, the width of the lanes in the diverted driving section, the length of the diverted driving section, or the speed limit of the diverted driving section. The weights of various parameters can be determined according to the needs of the actual application, and are not specifically limited here. For example, considering that the number of lanes in the diverted driving section and the width of the lanes in the diverted driving section have a greater impact on the traffic flow, the weights of these two parameters can be set higher than other parameters, and the weight of the lane width of the diverted driving section can also be set greater than the weight of the number of lanes in the diverted driving section, which is not specifically limited here.

[0093] In this embodiment, since the first design index corresponds to the diverted driving section, only the first design index can be compared with the second design index corresponding to the diverted driving section in the second construction plan. If there is a second index in at least one second design index corresponding to the diverted driving section in the cloud platform, the cloud platform will determine that the target construction plan includes the construction plan of the diverted driving section corresponding to the second index. Among them, the weighted result of the second index and the second parameter meets the similarity condition, which is specifically manifested as the absolute value of the difference between the second index and the weighted result of the second parameter is less than the second similarity threshold. The value of the second similarity threshold is determined according to the needs of the actual application, and is not specifically limited here. It can be understood that for the scheme with higher accuracy requirements, the value of the second similarity threshold is smaller. In addition, when there are multiple second design indices whose absolute values ​​of the differences with the weighted results of the second parameter are less than the second similarity threshold, it can be determined that the second design index with the smallest absolute value of the difference is the second index.

[0094] Similar to the above 1.1, it should be noted that in this embodiment, the target construction plan includes the construction plan of the diverted driving section corresponding to the second index. That is to say, if the second construction plan corresponding to the second index includes multiple design indexes, it means that the second construction plan includes multiple sections. When determining the target construction plan, only the construction plan in the diverted driving section in the second construction plan is selected.

[0095] In an embodiment of the present application, when the first design scheme includes a diverted driving section, the first design index is determined to include a weighted result of the second parameter. At this time, when determining the target construction scheme, it is only necessary to compare it with the second design index of the second construction scheme with the diverted driving section. This can not only reduce the workload of the cloud platform and thus reduce the occupancy rate of computing resources, but also ensure the similarity between the target construction scheme and the first construction scheme, thereby enhancing the reference significance of the target construction scheme.

[0096] 1.3 The first construction plan includes rerouting and restoring the road section.

[0097] In some optional implementations, the diverted road section of the first construction solution may include a diverted road section, in which case the parameter type of the first design parameter includes a third parameter. In this case, the cloud platform may perform weighted processing on the third parameter to obtain a first design index corresponding to the first design parameter. That is, in this solution, the first design index includes a weighted result of the third parameter.

[0098] As mentioned above, the third parameter includes at least one of the angle of the diversion recovery section, the number of lanes in the diversion recovery section, the width of the lanes in the diversion recovery section, or the number of lanes after the diversion recovery section is restored, the length of the diversion recovery section, or the speed limit of the diversion driving section. The weights of various parameters can be determined according to the needs of the actual application, and are not specifically limited here. For example, considering that the angle of the diversion recovery section and the width of the lanes in the diversion recovery section have a greater impact on the traffic volume, the weights of these two parameters can be set higher than other parameters, and the weight of the angle of the diversion recovery section can also be set to be greater than the weight of the lane width of the diversion recovery section, which is not specifically limited here.

[0099] In this embodiment, since the first design index corresponds to the diversion recovery section, only the first design index can be compared with the second design index corresponding to the diversion recovery section in the second construction plan. If there is a third index in at least one second design index corresponding to the diversion recovery section in the cloud platform, the cloud platform will determine that the target construction plan includes the construction plan of the diversion recovery section corresponding to the third index. Among them, the weighted result of the third index and the third parameter meets the similarity condition, which is specifically manifested as the absolute value of the difference between the third index and the weighted result of the third parameter is less than the third similarity threshold. The value of the third similarity threshold is determined according to the needs of the actual application, and is not specifically limited here. It can be understood that for the higher the accuracy requirement, the value of the third similarity threshold is smaller. In addition, when there are multiple second design indices whose absolute value of the difference with the weighted result of the third parameter is less than the first similarity threshold, it can be determined that the second design index with the smallest absolute value of the difference is the third index.

[0100] Similar to the above 1.1, it should be noted that in this embodiment, the target construction plan includes the construction plan of the diverted restoration section corresponding to the third index. That is to say, if the second construction plan corresponding to the third index includes multiple design indexes, it means that the second construction plan includes multiple sections. When determining the target construction plan, only the construction plan in the diverted restoration section of the second construction plan is selected.

[0101] In an embodiment of the present application, when the first design scheme includes a diversion and restoration section, the first design index is determined to include a weighted result of the third parameter. At this time, when determining the target construction scheme, it is only necessary to compare it with the second design index of the second construction scheme having the diversion and restoration section. This can not only reduce the workload of the cloud platform and thus reduce the occupancy rate of computing resources, but also ensure the similarity between the target construction scheme and the first construction scheme, thereby enhancing the reference significance of the target construction scheme.

[0102] 2. The first construction plan includes multiple road sections.

[0103] When the first construction plan includes multiple road sections, the cloud platform can compare the road sections individually with the second construction plan corresponding to each road section in the cloud platform, or compare the multiple road sections as a whole with the second construction plan including the same road section in the cloud platform.

[0104] 2.1 Compare each road section separately.

[0105] In this embodiment, the cloud platform can determine the specific road section included in the first construction plan, determine the design index corresponding to the road section, and then compare it with the design index of the second construction plan including the road section, so as to determine the target construction plan. When comparing each road section, refer to the above-mentioned process 1.1 to 1.3, which will not be repeated here.

[0106] For example, assuming that the diversion section of the first construction plan includes a diversion conversion section and a diversion driving section, then the first design index determined by the cloud platform includes the weighted result of the first parameter and the weighted result of the second parameter. The weighted result of the first parameter is compared with the second design index corresponding to the diversion conversion section in the second construction plan, and the first index that meets similar conditions as the weighted result of the first parameter is determined from the second design index corresponding to the diversion conversion section. The weighted result of the second parameter is compared with the second design index corresponding to the diversion driving section in the second construction plan, and the second index that meets similar conditions as the weighted result of the second parameter is determined from the second design index corresponding to the diversion driving section. The target construction plan determined by the cloud platform includes the construction plan for the diversion conversion section corresponding to the first index and the construction plan for the diversion driving section corresponding to the second index.

[0107] It should be noted that, in this embodiment, the target construction plan may be a combination of plans corresponding to some of the diverted road sections in multiple second construction plans, or it may be a complete second construction plan, which is not limited here.

[0108] 2.2 Overall comparison of multiple road sections.

[0109] In this embodiment, the cloud platform determines a design index for the multiple road sections included in the first construction plan as a whole, and then compares the design index with the design index of the second construction plan including the same road section, so as to determine the target construction plan. Specifically, if the parameter type of the first design parameter includes at least two of the first parameter, the second parameter or the third parameter, then the cloud platform can perform weighted processing on at least two of the first parameter, the second parameter or the third parameter to obtain the first design index. At this time, the target construction plan is determined according to the similarity between the first design index and at least one second design index, including: if there is a fourth index in at least one second design index, then the cloud platform can determine that the second construction plan corresponding to the fourth index is the target construction plan. Among them, the absolute value of the difference between the fourth index and the first design index is less than the fourth similarity threshold, and the road section type corresponding to the fourth index is the same as the road section type corresponding to the first design parameter.

[0110] Exemplarily, assuming that the first design solution includes a first parameter, a second parameter, and a third parameter, the cloud platform may determine the first design index based on the following formula:

[0111]

[0112] Among them, a c Indicates the angle of the diversion section, n c Indicates the lane width of the diversion section, n b Indicates the number of lanes before the diversion section is changed, w c Indicates the lane width of the diversion section, n d Number of lanes in the diverted driving section, w d Lane width of diversion section, a r Angle of diversion recovery section, n r Number of lanes in the diversion and restoration section, w r Lane width of diversion and restoration section, n a The number of lanes after the diversion and restoration section is restored.

[0113] w ac represents the weight of the diversion angle, w nc represents the weight of the comparison of the number of diverted lanes, w wc represents the weight of the lane width of the diversion section, w ncd represents the weight of the lane number comparison of the diversion section, w wd represents the weight of the lane width of the diverted driving section, w ar represents the weight of the angle of the diversion recovery section, w nrd represents the weight of the comparison of the number of lanes in the diversion and restoration section, w wr represents the weight of the lane width of the diversion recovery section, w nra Represents the weight of lane number comparison after restoration.

[0114] For example, in some optional implementations, w can be set in the order of the influence of various parameters on the traffic flow from large to small. nc is 40%; ac 、w wc 、w ar 、w nrd Both are 10%; wd 8%; wr 6%; ncd 4%; w nra is 2%.

[0115] It is understandable that the aforementioned weight value is only an example. In actual applications, each weight can be set according to actual needs or the severity of the impact on traffic flow, and is not specifically limited here.

[0116] It should also be noted that in the aforementioned embodiments, when comparing the first design index with the second design index of the second construction plan that has been implemented in the cloud platform, the weights corresponding to the second design index in the cloud platform and the weights corresponding to the first design index are the same, which is conducive to determining the closest target construction plan.

[0117] In the embodiment of the present application, when the diversion section included in the first construction plan has multiple sections, each section can be compared separately to determine the target construction plan corresponding to the section, or multiple sections can be compared as a whole, enriching the implementation method and application scenarios of the technical solution of the present application. At the same time, when the overall comparison is made, it is compared with the second construction plan in the cloud platform that includes the same section type as the first construction plan, and the second construction plan including different section types can be screened out, thereby reducing the workload of the cloud platform and reducing the occupation of computing resources.

[0118] 2. Comparison of the first design parameters of the first construction scheme with the design parameters of each second construction scheme.

[0119] In an embodiment of the present application, in addition to comparing design indexes, the cloud platform can also compare design parameters. That is to say, in at least one second construction plan that has been implemented and stored by the cloud platform, each construction plan includes a second design parameter. According to the first design parameter, a target construction plan that meets similar conditions as the first construction plan is determined from at least one second construction plan, including: if there is a third design parameter in at least one set of second design parameters included in at least one second construction plan, then the cloud platform can determine that the second construction plan corresponding to the third design parameter is the target construction plan. Among them, the third design parameter is the same or similar to the first design parameter.

[0120] Here, the third design parameter is the same as or similar to the first design parameter, which means that the parameter type of the first design parameter is included in the parameter type of the third design parameter, and the value of the first design parameter is the same as or similar to the value of the third design parameter.

[0121] In some optional embodiments, if the first design parameter includes the first parameter and the number of lanes in the diverted driving section, then the third design parameter being the same or similar to the first design parameter means that the third design parameter also includes the corresponding parameter, and the number of lanes in the diverted conversion section, the number of lanes before the diverted conversion section is converted, and the number of lanes in the diverted driving section are the same in the first design parameter and the third design parameter, and the values ​​of the remaining parameters are similar. Among them, the first parameter includes at least one of the diverted conversion section angle, the number of lanes in the diverted conversion section, the width of the diverted conversion section lane, the number of lanes before the diverted conversion section is converted, the length of the diverted conversion section, or the speed limit of the diverted conversion section. The similarity of the remaining parameters can be determined according to the actual application, and is not specifically limited here. It can be understood that the more stringent the scenario requirements for the simulation results, the closer the values ​​of the remaining parameters are.

[0122] In the scheme where the first design parameter includes the first parameter and the number of lanes in the diverted driving section, if the third design parameter is the same or similar to the first design parameter, then it can be determined that the target construction scheme includes the construction scheme of the second construction scheme corresponding to the third design parameter in the diverted driving section.

[0123] In some optional embodiments, if the first design parameter includes a third parameter and the number of lanes in the diverted driving section, then the third design parameter being the same or similar to the first design parameter means that the third design parameter also includes corresponding parameters, and the number of lanes in the diverted driving section, the number of lanes in the diverted recovery section, and the number of lanes after the diverted recovery section is restored are the same in the first design parameter and the third design parameter, and the values ​​of the remaining parameters are similar. Among them, the third parameter includes at least one of the diverted recovery section angle, the number of lanes in the diverted recovery section, the width of the diverted recovery section lane, or the number of lanes after the diverted recovery section is restored, the length of the diverted recovery section, or the speed limit of the diverted driving section. The similarity of the remaining parameters can be determined according to the actual application, and is not specifically limited here. It can be understood that the more stringent the scenario requirements for the simulation results, the closer the values ​​of the remaining parameters are.

[0124] In the scheme where the first design parameter includes the third parameter and the number of lanes in the diverted driving section, if the third design parameter is the same or similar to the first design parameter, then it can be determined that the target construction scheme includes the construction scheme of the second construction scheme corresponding to the third design parameter in the diverted restoration section.

[0125] In an embodiment of the present application, the cloud platform can also determine the target construction plan by comparing the first design parameter and the second design parameter. Compared with processing the first design parameter to obtain the first design index and then comparing the first design index and the second design index, the processing steps are reduced, the consumption of computing resources is further reduced, and efficiency is improved.

[0126] 303. The traffic parameters corresponding to the target construction plan are input into the simulation program to obtain the simulation result of the first construction plan. The traffic state represented by the traffic parameters corresponding to the target construction plan is the estimated traffic state of the diverted road section.

[0127] The cloud platform stores at least one second construction plan, and the traffic parameters corresponding to the at least one second construction plan are obtained by processing the collection parameters collected by the edge device by the edge node. The edge device is connected to the edge node. Since the target construction plan is included in at least one second construction plan, the cloud platform can obtain the traffic parameters corresponding to the target construction plan after determining the target construction plan.

[0128] Specifically, the traffic parameters corresponding to the target construction plan are obtained by the cloud platform through the edge node. In other words, the cloud platform establishes a communication connection with the edge node to obtain the traffic parameters corresponding to the target construction plan from the edge node. The edge node is also connected to the edge device, and the edge device sends the collection parameters corresponding to the target construction plan to the edge node. The edge node processes the collection parameters to obtain the traffic parameters corresponding to the target construction plan.

[0129] The traffic parameters corresponding to the target construction plan include at least one of the traffic volume, average speed, vehicle type ratio, time and space occupancy rate, or average speed of different vehicle types of the target section, and the target section includes at least one of the diversion section, diversion driving section, or diversion recovery section.

[0130] Traffic volume refers to the total number of vehicles passing through the target road section during the collection period. Vehicle type ratio refers to the proportion of vehicle types passing through or traveling on the target road section during the collection period. The vehicle type can refer to the definition of relevant standards or be defined by the user through the cloud platform, and is not specifically limited here. The average speed of different vehicle types refers to the average speed corresponding to different vehicle types determined according to the vehicle type. The time-space occupancy rate includes time occupancy rate and / or space occupancy rate. The time occupancy rate refers to the ratio of the length of time there are vehicles on the road during the collection period to the length of the collection period, which can be reflected in the number of vehicles on the road during a collection period. The space occupancy rate refers to the ratio of the space occupied by vehicles on the road to the space of the road, which can be reflected in the number of vehicles on the road at a certain moment.

[0131] In some optional implementations, the traffic parameters corresponding to the target construction plan may also include maximum flow, critical speed, lane-changing parameters, vehicle acceleration, deceleration, position and other parameters, which are not specifically limited here.

[0132] It should also be noted that the above text has explained that the target construction plan determined by the embodiment of the present application can be either a complete second construction plan or a combination of construction plans corresponding to different road sections in multiple second construction plans. Then accordingly, the traffic parameters corresponding to the target construction plan may also be the traffic parameters corresponding to a complete second construction plan, or the traffic parameters corresponding to different road section types of multiple second construction plans, so as to simulate the traffic conditions of different road section types and respectively simulate the traffic conditions of different road sections in the first construction plan.

[0133] After obtaining the traffic parameters corresponding to the target construction plan, the cloud platform can input the traffic parameters into the simulation program as input parameters of the simulation program.

[0134] It is understandable that the target construction plan is determined from the second construction plan that has been implemented. The second construction plan is a plan that has been implemented. Then the design parameters and traffic state parameters corresponding to the second construction plan are real and verified parameters, and have high reference value. The same is true for the target construction plan. Therefore, the traffic state parameters of the target construction plan can be used to estimate the traffic state of the first construction plan, especially the traffic state in the diverted road section, so as to obtain the simulation results of the first construction plan.

[0135] In general, in the embodiment of the present application, at least one second construction plan that has been implemented is stored in the cloud platform. The cloud platform can obtain the first design parameter of the first construction plan, and determine the target construction plan that is similar to the first construction plan from at least one second construction plan according to the first design parameter, and use the traffic parameters corresponding to the target construction plan as the input of the simulation program. Since the target construction plan is similar to the first construction plan, the traffic state represented by the traffic state parameters corresponding to the target construction plan can simulate the possible real traffic state of the first construction plan, and is also closer to the real execution state of the first construction plan. The input of the simulation program is made closer to the actual situation, so the simulation result obtained by the simulation program is also more accurate. Provides an accurate basis for the selection of construction plans, and can select a more reasonable construction plan to renovate and expand the road.

[0136] In the scheme introduced above, the traffic parameters input into the simulation program are obtained by comparing the design index or design parameters. In some optional implementations, the traffic parameters can also be obtained by other methods. Exemplarily, a large number of design parameters and corresponding traffic parameters can be accumulated, and the design parameters can be used as variables to solve the general function to obtain the corresponding traffic parameters. For example, using the AI ​​model, the first design parameter of the first construction plan is input into the AI ​​model to obtain the corresponding traffic parameters.

[0137] In some optional implementations, if there is no target construction plan similar to the first construction plan to be executed in the cloud platform, the first construction plan can be determined by expert experience, etc. And in the process of executing the first construction plan, the traffic parameters of the first construction plan are recorded, so as to improve the reference library and provide reference for subsequent simulations.

[0138] The above text takes the cloud platform as the execution subject and explains the traffic simulation method provided by the embodiment of the present application from the perspective of the cloud platform. The following is a summary of the traffic simulation method provided by the embodiment of the present application from the perspective of the system. Figure 5 , Figure 5 A flow chart of the traffic simulation method provided in an embodiment of the present application.

[0139] like Figure 5 As shown in FIG. 1 , during the implementation of the second construction plan, the edge device executes step 1 to collect traffic flow parameters in the construction area to obtain collected parameters. The construction area includes a diverted section and a construction section, and the diverted section includes at least one of a diverted conversion section, a diverted driving section, and a diverted recovery section. The specific content of the construction area is described in Figure 4 This has been explained in the illustrated embodiment and will not be repeated here. After obtaining the collection parameters, the edge device executes step 2 and sends the collection parameters to the edge node. The edge node obtains the collection parameters, executes step 3, processes the collection parameters, obtains the traffic parameters of the second construction plan, and sends the traffic parameters to the parameter management module of the cloud platform. The parameter management module will store the traffic status parameters of the second construction plan, and will also process the traffic status parameters of the second construction plan to obtain the design index of the second construction plan. In addition, the parameter management module can also obtain the design parameters of the second construction plan input by the user.

[0140] When traffic simulation is to be performed on the first construction plan, the user executes step 4 and inputs the first design parameter of the first construction plan to the parameter management module through the cloud platform. The parameter management module determines the target construction plan that meets similar conditions to the first construction plan from at least one second construction plan stored in the cloud platform according to the first design parameter. The simulation parameter extraction module executes step 5 to obtain the traffic parameters corresponding to the target construction plan, and step 6 to input the traffic parameters corresponding to the target construction plan into the simulation module. A simulation program is running in the simulation module. After obtaining the traffic parameters corresponding to the target construction plan, simulation is performed to obtain the simulation results of the first construction plan. And step 7 is executed to display the simulation results to the user.

[0141] Next, the devices related to the embodiments of the present application are described. Figure 6 , Figure 6 A schematic diagram of the structure of the cloud platform provided in an embodiment of the present application.

[0142] In the embodiment of the present application, the cloud platform 600 includes a parameter management module 601, a simulation parameter extraction module 602, and a simulation module 603. In summary, the cloud platform establishes a communication connection with the edge node, and at least one second construction plan that has been implemented is stored in the cloud platform 600, and each second construction plan has its own corresponding second design parameters and traffic parameters and other parameters. Among them, the traffic parameters corresponding to each second construction plan are obtained by processing the acquisition parameters collected by the edge device by the edge node, and the edge device is connected to the edge node. The parameter management module 601 is used to manage various parameters such as design parameters and acquisition parameters included in each construction plan. In addition, the parameter management module 601 can also determine different parameter information corresponding to different construction plans based on the user's configuration, and this process can also be called manual maintenance. The simulation parameter extraction module 602 can determine the traffic parameters of the construction plan to be simulated from the traffic parameters managed by the parameter management module 601, and use the traffic parameters as the input parameters of the simulation program. The simulation program runs in the simulation module 603, and the simulation module 603 simulates the input parameters to obtain simulation results, and the user can evaluate the construction plan based on the simulation results. In addition, the user can also configure the simulation program, including setting the input parameter type of the simulation program, simulation environment parameters, etc., which are not limited here.

[0143] In some optional implementations, the simulation module 603 is used to run a simulation program.

[0144] The parameter management module 601 is used to: obtain a first design parameter corresponding to the first construction scheme, the first design parameter indicating the design method of the diverted road section, and the diverted road section surrounds the construction section. According to the first design parameter, determine a target construction scheme that meets similar conditions as the first construction scheme from at least one second construction scheme.

[0145] The simulation parameter extraction module 602 is used to input the traffic parameters corresponding to the target construction plan into the simulation program to obtain the simulation result of the first construction plan. The target construction plan represents the actual traffic status of the implemented target construction plan.

[0146] The diverted road section includes at least one of a diverted conversion section, a diverted driving section, or a diverted recovery section. The first design parameter includes at least one of a first parameter corresponding to the diverted conversion section, a second parameter corresponding to the diverted driving section, or a third parameter corresponding to the diverted recovery section.

[0147] In some optional implementations, the parameter management module 601 is also used to obtain traffic parameters corresponding to the target construction plan from the edge node. The traffic parameters corresponding to the target construction plan are obtained by the edge node processing the collection parameters collected by the edge device, and the edge device is connected to the edge node.

[0148] In some optional embodiments, each of the at least one second construction plan includes at least one second design index, each second design index is a weighted result of a corresponding traffic parameter, and at least one second design index is used for similarity matching.

[0149] The parameter management module 601 is specifically used to: determine a first design index corresponding to a first design parameter, and determine a target construction plan according to the similarity between the first design index and at least one second design index.

[0150] In some optional implementations, the parameter management module 601 is further used to: if the first design parameter includes the first parameter, determine that the first design index includes a weighted result of the first parameter. If the first index exists in at least one second design index corresponding to the diversion section, determine that the target construction plan includes a construction plan for the diversion section corresponding to the first index, and the absolute value of the difference between the first index and the weighted result of the first parameter is less than the first similarity threshold.

[0151] In some optional implementations, the parameter management module 601 is further used to: if the first design parameter also includes the second parameter, determine that the first design index also includes the weighted result of the second parameter. If the second index exists in at least one second design index corresponding to the diverted driving section, determine that the target construction plan also includes the construction plan of the diverted driving section corresponding to the second index, and the absolute value of the difference between the second index and the weighted result of the second parameter is less than the second similarity threshold.

[0152] In some optional implementations, the parameter management module 601 is further used to: if the first design parameter also includes a third parameter, determine that the first design index also includes a weighted result of the third parameter. If there is a third index in at least one second design index corresponding to the diverted recovery section, determine that the target construction plan also includes a construction plan for the diverted driving section corresponding to the third index, and the absolute value of the difference between the third index and the weighted result of the third parameter is less than a third similarity threshold.

[0153] In some optional implementations, the parameter management module 601 is further used to: if the first design parameter includes at least two of the first parameter, the second parameter or the third parameter, weighted processing is performed on at least two of the first parameter, the second parameter or the third parameter to obtain a first design index. If there is a fourth index in at least one of the second design indexes, the second construction plan corresponding to the fourth index is determined to be the target construction plan, the absolute value of the difference between the fourth index and the first design index is less than the fourth similarity threshold, and the road section type corresponding to the fourth index is the same as the road section type corresponding to the first design parameter.

[0154] In some optional implementations, each construction scheme in at least one second construction scheme includes a second design parameter. The parameter management module 601 is further configured to determine that the second construction scheme corresponding to the third design parameter is the target construction scheme if there is a third design parameter in at least one group of second design parameters included in at least one second construction scheme, and the third design parameter is the same or similar to the first design parameter.

[0155] In some optional embodiments, the first parameter includes at least one of the diversion section angle, the number of diversion section lanes, the diversion section lane width, the number of lanes before diversion of the diversion section, the diversion section length, or the speed limit of the diversion section.

[0156] The second parameter includes at least one of the number of lanes of the diverted driving section, the lane width of the diverted driving section, the length of the diverted driving section, or the speed limit of the diverted driving section.

[0157] The third parameter includes at least one of the angle of the diversion recovery section, the number of lanes in the diversion recovery section, the lane width of the diversion recovery section, the number of lanes after restoration in the diversion recovery section, the length of the diversion recovery section, or the speed limit of the diversion driving section.

[0158] The cloud platform 600 is used to execute the operations performed by the cloud platform in the aforementioned embodiments to implement the traffic simulation method provided in the embodiments of the present application, which will not be described in detail here.

[0159] See also Figure 7 , Figure 7 A schematic diagram of the structure of a computing device provided in an embodiment of the present application.

[0160] like Figure 7 As shown, computing device 700 includes: bus 702, memory 701, processor 703 and communication interface 704. Processor 703, memory 701 and communication interface 704 communicate with each other through bus 702. Computing device 700 can be a server or a terminal device. It should be understood that the present invention does not limit the number of processors and memories in computing device 700.

[0161] The bus 702 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6The bus 702 is represented by only one line, but it does not mean that there is only one bus or one type of bus. The bus 702 may include a path for transmitting information between various components of the computing device 700 (eg, the memory 701, the processor 703, and the communication interface 704).

[0162] The processor 703 may include any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP).

[0163] The memory 701 may include a volatile memory, such as a random access memory (RAM). The processor 703 may also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD).

[0164] The memory 701 stores executable program codes, and the processor 703 executes the executable program codes to respectively implement the functions of the parameter management module 601, the simulation parameter extraction module 602, and the simulation module 603, thereby implementing the traffic simulation method provided in the embodiment of the present application. That is, the memory 701 stores instructions for the cloud platform to execute the traffic simulation method provided in the embodiment of the present application.

[0165] The communication interface 704 uses a transceiver module such as, but not limited to, a network interface card or a transceiver to implement communication between the computing device 700 and other devices or a communication network.

[0166] An embodiment of the present invention further provides a computing device cluster. The computing device cluster includes at least one computing device. The computing device may be a server, such as a central server, an edge server, or a local server in a local data center. In some embodiments, the computing device may also be a terminal device such as a desktop computer, a laptop computer, or a smart phone.

[0167] See also Figure 8 , Figure 8 A schematic diagram of the structure of a computing device cluster provided in an embodiment of the present application.

[0168] like Figure 8As shown, the computing device cluster includes at least one computing device 700. The memory 701 in one or more computing devices 700 in the computing device cluster may store the same cloud platform for executing instructions of the traffic simulation method provided in the embodiment of the present application.

[0169] It should be noted that the memory 701 in different computing devices 700 in the computing device cluster can store different instructions for executing some functions of the cloud platform. That is, the instructions stored in the memory 701 in different computing devices 700 can implement the functions of one or more modules in the parameter management module 601, the simulation parameter extraction module 602 and the simulation module 603.

[0170] The embodiment of the present invention also provides a computer program product including instructions. The computer program product may be software or a program product including instructions that can be run on a computing device or stored in any available medium. When the computer program product is run on at least one computer device, the at least one computer device executes the above-mentioned traffic simulation method applied to the cloud platform.

[0171] The embodiment of the present invention also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk). The computer-readable storage medium includes instructions that instruct the computing device to execute the above-mentioned method for executing traffic simulation on a cloud platform.

[0172] 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.

[0173] 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0174] 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.

[0175] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0176] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable 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 method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

Claims

1. A traffic simulation method, characterized in that: The method is applied to a cloud platform, the cloud platform establishes a communication connection with an edge node, and the cloud platform stores at least one second construction plan that has been implemented, and the traffic parameters corresponding to the at least one second construction plan are obtained by processing the collection parameters collected by the edge device by the edge node, wherein the edge device is connected to the edge node, and the cloud platform is equipped with a simulation program, and the method includes: Acquire a first design parameter corresponding to the first construction plan, where the first design parameter indicates a design method for the diverted road section; Determine, according to the first design parameter, a target construction scheme from the at least one second construction scheme that satisfies similar conditions to the first construction scheme; Inputting the traffic parameters corresponding to the target construction scheme into the simulation program to obtain the simulation result of the first construction scheme, wherein the traffic parameters corresponding to the target construction scheme represent the real traffic status of the target construction scheme that has been implemented; Wherein, the diverted route section includes at least one of a diverted route conversion section, a diverted route driving section or a diverted route recovery section; The first design parameter includes at least one of a first parameter corresponding to the diversion conversion section, a second parameter corresponding to the diversion driving section, or a third parameter corresponding to the diversion recovery section.

2. The method according to claim 1, characterized in that Each of the at least one second construction scheme comprises at least one second design index, each second design index is a weighted result of a corresponding traffic parameter, and the at least one second design index is used for similarity matching; The step of determining, according to the first design parameter, a target construction scheme that satisfies similar conditions to the first construction scheme from the at least one second construction scheme includes: determining a first design index corresponding to the first design parameter; The target construction plan is determined according to the similarity between the first design index and the at least one second design index.

3. The method according to claim 2, characterized in that The determining a first design index corresponding to the first design parameter includes: If the first design parameter includes the first parameter, determining the first design index includes a weighted result of the first parameter; The determining the target construction scheme according to the similarity between the first design index and the at least one second design index comprises: If there is a first index in at least one second design index corresponding to the diversion section, it is determined that the target construction plan includes the construction plan of the diversion section corresponding to the first index, and the absolute value of the difference between the first index and the weighted result of the first parameter is less than a first similarity threshold.

4. The method according to claim 2 or 3, characterized in that: The determining of the first design index corresponding to the first design parameter further includes: If the first design parameter also includes the second parameter, determining that the first design index also includes a weighted result of the second parameter; The determining the target construction scheme according to the similarity between the first design index and the at least one second design index further includes: If a second index exists in at least one second design index corresponding to the diverted driving section, it is determined that the target construction plan also includes the construction plan of the diverted driving section corresponding to the second index, and the absolute value of the difference between the second index and the weighted result of the second parameter is less than a second similarity threshold.

5. The method according to any one of claims 2 to 4, characterized in that The determining of the first design index corresponding to the first design parameter further includes: If the first design parameter also includes the third parameter, determining that the first design index also includes a weighted result of the third parameter; The determining the target construction scheme according to the similarity between the first design index and the at least one second design index further includes: If there is a third index in at least one second design index corresponding to the diverted recovery section, it is determined that the target construction plan also includes the construction plan of the diverted driving section corresponding to the third index, and the absolute value of the difference between the third index and the weighted result of the third parameter is less than a third similarity threshold.

6. The method according to claim 2, characterized in that The determining a first design index corresponding to the first design parameter includes: If the first design parameter includes at least two of the first parameter, the second parameter or the third parameter, weighting the at least two of the first parameter, the second parameter or the third parameter to obtain the first design index; The determining the target construction scheme according to the similarity between the first design index and the at least one second design index comprises: If a fourth index exists in at least one of the second design indexes, the second construction plan corresponding to the fourth index is determined to be the target construction plan, the absolute value of the difference between the fourth index and the first design index is less than a fourth similarity threshold, and the road section type corresponding to the fourth index is the same as the road section type corresponding to the first design parameter.

7. The method according to claim 1, characterized in that Each construction scheme in the at least one second construction scheme includes a second design parameter; The step of determining, according to the first design parameter, a target construction scheme that satisfies similar conditions to the first construction scheme from the at least one second construction scheme includes: If there is a third design parameter in at least one group of second design parameters included in the at least one second construction plan, the second construction plan corresponding to the third design parameter is determined to be the target construction plan, and the third design parameter is the same or similar to the first design parameter.

8. The method according to any one of claims 1 to 7, characterized in that The traffic parameters of the target construction plan include at least one of the traffic volume, average speed, vehicle type ratio, time and space occupancy, or average speed of different vehicle types of the target section, and the target section includes at least one of the diversion conversion section, the diversion driving section, or the diversion recovery section.

9. The method according to any one of claims 1 to 8, characterized in that The first parameter includes at least one of the angle of the diversion section, the number of lanes of the diversion section, the lane width of the diversion section, the number of lanes before the diversion section, the length of the diversion section, or the speed limit of the diversion section; The second parameter includes at least one of the number of lanes of the diverted driving section, the lane width of the diverted driving section, the length of the diverted driving section, or the speed limit of the diverted driving section; The third parameter includes at least one of the angle of the diversion recovery section, the number of lanes in the diversion recovery section, the lane width of the diversion recovery section, the number of lanes after the diversion recovery section is restored, the length of the diversion recovery section, or the speed limit of the diversion driving section.

10. A cloud platform, characterized in that: The cloud platform establishes a communication connection with the edge node, and the cloud platform stores at least one second construction plan that has been implemented. The traffic parameters corresponding to the at least one second construction plan are obtained by processing the collection parameters collected by the edge device by the edge node, wherein the edge device is connected to the edge node, and the cloud platform includes: A simulation module, used to run a simulation program; Parameter management module for: Acquire a first design parameter corresponding to the first construction plan, the first design parameter indicating a design method of a diverted road section, the diverted road section surrounding the construction road section; Determine, according to the first design parameter, a target construction scheme from the at least one second construction scheme that satisfies similar conditions to the first construction scheme; A simulation parameter extraction module, used for inputting traffic parameters corresponding to the target construction scheme into the simulation program to obtain a simulation result of the first construction scheme, wherein the target construction scheme represents a real traffic state of the target construction scheme that has been implemented; Wherein, the diverted route section includes at least one of a diverted route conversion section, a diverted route driving section or a diverted route recovery section; The first design parameter includes at least one of a first parameter corresponding to the diversion conversion section, a second parameter corresponding to the diversion driving section, or a third parameter corresponding to the diversion recovery section.

11. The cloud platform according to claim 10, characterized in that: Each of the at least one second construction scheme comprises at least one second design index, each second design index is a weighted result of a corresponding traffic parameter, and the at least one second design index is used for similarity matching; The parameter management module is specifically used for: determining a first design index corresponding to the first design parameter; The target construction plan is determined according to the similarity between the first design index and the at least one second design index.

12. The cloud platform according to claim 11, characterized in that: The parameter management module is also used for: If the first design parameter includes the first parameter, determining the first design index includes a weighted result of the first parameter; If there is a first index in at least one second design index corresponding to the diversion section, it is determined that the target construction plan includes the construction plan of the diversion section corresponding to the first index, and the absolute value of the difference between the first index and the weighted result of the first parameter is less than a first similarity threshold.

13. The cloud platform according to claim 11 or 12, characterized in that: The parameter management module is also used for: If the first design parameter also includes the second parameter, determining that the first design index also includes a weighted result of the second parameter; If a second index exists in at least one second design index corresponding to the diverted driving section, it is determined that the target construction plan also includes the construction plan of the diverted driving section corresponding to the second index, and the absolute value of the difference between the second index and the weighted result of the second parameter is less than a second similarity threshold.

14. The cloud platform according to any one of claims 11 to 13, characterized in that: The parameter management module is also used for: If the first design parameter also includes the third parameter, determining that the first design index also includes a weighted result of the third parameter; If there is a third index in at least one second design index corresponding to the diverted recovery section, it is determined that the target construction plan also includes the construction plan of the diverted driving section corresponding to the third index, and the absolute value of the difference between the third index and the weighted result of the third parameter is less than a third similarity threshold.

15. The cloud platform according to claim 11, characterized in that: The parameter management module is also used for: If the first design parameter includes at least two of the first parameter, the second parameter or the third parameter, weighting the at least two of the first parameter, the second parameter or the third parameter to obtain the first design index; If a fourth index exists in at least one of the second design indexes, the second construction plan corresponding to the fourth index is determined to be the target construction plan, the absolute value of the difference between the fourth index and the first design index is less than a fourth similarity threshold, and the road section type corresponding to the fourth index is the same as the road section type corresponding to the first design parameter.

16. The cloud platform according to claim 11, characterized in that: Each construction scheme in the at least one second construction scheme includes a second design parameter; The parameter management module is also used to determine that the second construction plan corresponding to the third design parameter is the target construction plan if there is a third design parameter in at least one group of second design parameters included in the at least one second construction plan, and the third design parameter is the same or similar to the first design parameter.

17. A computing device cluster, characterized in that: comprising at least one computing device, each computing device comprising a processor and a memory; The processor of the at least one computing device is configured to execute instructions stored in the memory of the at least one computing device, so that the computing device cluster executes the method according to any one of claims 1 to 9.

18. A computer program product comprising instructions, characterized in that When the instructions are executed by a computing device cluster, the computing device cluster is caused to perform the method according to any one of claims 1 to 9.

19. A computer-readable storage medium, characterized in that: The method comprises computer program instructions, and when the computer program instructions are executed by a computing device cluster, the computing device cluster performs the method according to any one of claims 1 to 9.

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