Intelligent road structure design method and system

Abstract

The invention provides an intelligent road structure design method and system. The method comprises the following steps: S1, constructing a three-dimensional model; s2, inputting scene data; s3, designing road parameters; s4, constructing a road model; s5, calculating road evolution; s6, environmental impact assessment; s7, adjusting the road model; through large-scale analysis of existing traffic data and geographical environment data, an initial road structure scheme is constructed by using an advanced AI model, and future traffic flow is predicted in combination with an artificial intelligence algorithm, so that road structure parameters such as road width, lane number, ramp setting and the like are intelligently optimized, and the traffic flow prediction efficiency is improved. According to the method, the traffic prediction data is acquired, the future traffic demand is better met, meanwhile, reasonable resource allocation is achieved, the whole process starts from data collection and analysis, an initial scheme is generated through an AI model, intelligent optimization is conducted according to future traffic prediction data, finally, an optimization scheme capable of being implemented is output, and meanwhile data support is provided for follow-up road construction and transformation.

Description

Technical Field

[0001] The present invention relates to the technical field of road design, and particularly relates to an intelligent road structure design method and system. Background Art

[0002] Existing road structure design methods mainly rely on experience and traditional design rules. Designers need to refer to a large amount of relevant specifications, standards, and historical data, and perform complex calculations and simulation analyses. This method is time-consuming and laborious, difficult to quickly adapt to the changing road conditions and traffic demands, and also lacks sufficient consideration for environmental and sustainability concerns. In addition, the traditional design process lacks a real-time feedback mechanism, making it difficult to adjust and optimize the design plan in a timely manner, resulting in high engineering costs and long construction periods, and unable to meet the requirements of the intelligent and efficient development of roads in modern society.

[0003] With the sharp increase in traffic volume and the development of intelligent driving technology, the traditional road structure design method has been difficult to meet the needs of modern society. The existing methods have the following pain points: low design efficiency, the cumbersome design process and a large amount of data analysis require a large amount of manual input, resulting in a long design cycle; lack of data-driven, the design plan lacks sufficient consideration for real-time road conditions, traffic flow, and environmental factors, and the design results are difficult to effectively respond to complex road condition changes; insufficient sustainability, the traditional design method lacks an assessment of the impact on the environment and is difficult to achieve the goals of road carbon reduction and sustainable development; difficult to adjust, the adjustment and optimization of the design plan lack a real-time feedback mechanism, making it difficult to meet the changing traffic demands, and the design is limited by the environment and not convenient to adjust the subsequent construction and renovation of the road according to the existing operation data for environmental evolution.

[0004] To solve the above technical problems, an intelligent road structure design method and system are proposed. Summary of the Invention

[0005] In view of this, the present invention provides an intelligent road structure design method and system to solve or alleviate the technical problems existing in the prior art, and at least provide a beneficial option.

[0006] The technical solution of the present invention is implemented as follows: An intelligent road structure design method includes the following steps:

[0007] S1. Construct a three-dimensional model;

[0008] S2. Input scene data;

[0009] S3. Design road parameters;

[0010] S4. Construct a road model;

[0011] S5. Deduce road evolution;

[0012] S6. Environmental impact assessment;

[0013] S7. Adjust the road model.

[0014] Further preferably, in the S1, a road construction scenario model is constructed proportionally. When constructing the model, the actual traffic flow data and personnel circulation data are referred to, and an intelligent AI model is constructed. The existing road evolution data is fed into the AI model, and the road conditions, traffic flow, and environmental data are obtained in real time and integrated into the AI model to achieve intelligent prediction and analysis.

[0015] Further preferably, in the S2, the road construction scenario data is input into the three-dimensional scene model. Before inputting, the data is simplified, unnecessary data is filtered out, and the scene change prospect is examined. This data is provided as a variable to the three-dimensional scene model. Similar scenes are selected through the existing data, and a road preset scheme is provided based on the road structure of the similar scenes.

[0016] Further preferably, in the S4, a road structure model is constructed in the three-dimensional scene model according to the initial preset parameters of the road. When constructing the model, the environmental change data is input as a variable.

[0017] Further preferably, in the S5, the intelligent AI is used to calculate the road usage scenario, simulate the road operation state, evaluate the extreme usage state of the road, and optimize the road structure scheme.

[0018] Further preferably, in the S6, the impact of the design scheme on the environment is evaluated, and the design is optimized to achieve road carbon reduction and ecological friendliness.

[0019] Further preferably, in the S7, a real-time feedback mechanism is established. According to the road condition changes and actual operation data, the design scheme is continuously adjusted and optimized to improve the road management efficiency and safety. An entity proportional model is built to simulate the road usage state and complete the optimization of the road structure.

[0020] An intelligent road structure design system includes a computing network, a server, a design terminal, a road parameter design module, and a road parameter adjustment module. The computing network is connected to the server and the design terminal. The road parameter design module is used to provide an initial design scheme according to the existing data, and the road parameter adjustment module is used to perform the specific parameters of the road model in the three-dimensional scene.

[0021] Further preferably, the road parameter design module establishes a feedback mechanism. After inputting the existing data for learning, it continuously provides the road condition changes and actual operation data, and continuously optimizes and adjusts the design scheme.

[0022] Due to the above technical solutions adopted in the embodiments of the present invention, it has the following advantages:

[0023] Through large-scale analysis of existing traffic data and geographical environment data, the present invention constructs an initial road structure plan using an advanced AI model, and predicts future traffic flow in combination with artificial intelligence algorithms, thereby intelligently optimizing road structure parameters such as road width, number of lanes, ramp settings, etc., making it more in line with future traffic needs, while realizing reasonable resource allocation and maximizing the benefits of road construction. The entire process starts from data collection and analysis, generates an initial plan through an AI model, and then performs intelligent optimization based on future traffic prediction data, and finally outputs an optimized plan for implementation, while providing data support for subsequent road construction and renovation.

[0024] The above summary is only for the purpose of the specification and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present invention will be readily apparent by reference to the drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0026] Figure 1 It is a flowchart of the intelligent road structure design method of the present invention;

[0027] Figure 2 It is a system diagram of the intelligent road structure design of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] In the following, only some exemplary embodiments are briefly described. As those skilled in the art can recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the present invention. Therefore, the drawings and the description are considered to be exemplary in nature rather than restrictive.

[0029] The embodiments of the present invention will be described in detail below with reference to the drawings.

[0030] Embodiment 1

[0031] As Figure 1 shown, the embodiment of the present invention provides an intelligent road structure design method, including the following steps:

[0032] S1. Build a 3D model, build a road construction scenario model in proportion, refer to the actual traffic flow data and pedestrian flow data when building the model, and build an intelligent AI model. Feed the existing road evolution data into the AI model, and obtain road conditions, traffic flow, and environmental data in real time, and integrate them into the AI model to achieve intelligent prediction and analysis;

[0033] S2. Enter scenario data. Enter the road construction scenario data into the 3D scenario model. Simplify the data before entry, filter out unnecessary data, and examine the future of scenario changes. Provide this data as a variable to the 3D scenario model, screen for similar scenarios through existing data, and provide a road preset plan based on the road structure of similar scenarios;

[0034] S3. Design road parameters;

[0035] S4. Build a road model. Build a road structure model in the 3D scenario model according to the initial preset road parameters. Enter the environmental change data as a variable when building the model;

[0036] S5. Deduce road evolution. Deduce the road usage scenarios through the intelligent AI, simulate the road operation status, evaluate the extreme usage status of the road, and optimize the road structure plan;

[0037] S6. Environmental impact assessment. Evaluate the impact of the design plan on the environment, and optimize the design to achieve road carbon reduction and ecological friendliness;

[0038] S7. Adjust the road model. Establish a real-time feedback mechanism, continuously adjust and optimize the design plan according to road condition changes and actual operation data, improve road management efficiency and safety, build a physical model in proportion, simulate the road usage status, and complete the optimization of the road structure.

[0039] In one embodiment, three preset plans are initially provided, and after building the road model, similar roads are matched according to the existing data, and the development prospects of this type of road are evaluated to provide data support for the plan for selection.

[0040] As Figure 2 shown, the embodiment of the present invention also provides an intelligent road structure design system, including a computing network, a server, a design terminal, a road parameter design module, and a road parameter adjustment module. The computing network is connected to the server and the design terminal. The road parameter design module is used to provide an initial design plan according to the existing data, and the road parameter adjustment module is used to perform the specific parameters of the road model in the 3D scenario.

[0041] In one embodiment, the road parameter design module establishes a feedback mechanism. After inputting the existing data for learning, it continuously provides road condition changes and actual operation data, and continuously optimizes and adjusts the design plan.

[0042] Example 2

[0043] The embodiment of the present invention provides an intelligent road structure design method, including the following steps:

[0044] S1. Build a 3D model, build a road construction scenario model in equal proportion, refer to the actual traffic flow data and pedestrian flow data when building the model, and build an intelligent AI model. Feed the existing road evolution data into the AI model, and obtain the road conditions, traffic flow and environmental data in real time, and integrate them into the AI model to achieve intelligent prediction and analysis;

[0045] S2. Input scenario data, input the road construction scenario data into the 3D scenario model. Simplify the data before input, filter out unnecessary data, and examine the future of scenario changes. Provide this data as a variable to the 3D scenario model, and screen for similar scenarios through the existing data;

[0046] S3. Output a preset plan, output a preset plan according to the existing data and environmental data, and arrange the plans according to the operation duration and transformability when outputting the plan;

[0047] S4. Optimize the preset plan, screen out the plans with low environmental matching degree, build a model for each plan separately, compare the deduction and trial operation results of multiple models, and provide a more reasonable plan for users;

[0048] S5. Build a road model, build a road structure model in the 3D scenario model according to the initial preset parameters of the road, and input the environmental change data as a variable when building the model;

[0049] S6. Deduce the road evolution, deduce the road usage scenarios through the intelligent AI, simulate the road operation state, evaluate the extreme usage states of the road, and optimize the road structure plan;

[0050] S7. Evaluate the environmental impact, evaluate the impact of the design plan on the environment, and optimize the design to achieve road carbon reduction and ecological friendliness;

[0051] S8. Adjust the road model, establish a real-time feedback mechanism, continuously adjust and optimize the design plan according to the road condition changes and actual operation data, improve the road management efficiency and safety, build an entity equal-proportion model, simulate the road usage state, and complete the optimization of the road structure.

[0052] Such as Figure 2As shown in the figure, an embodiment of the present invention also provides an intelligent road structure design system, which includes a computing network, a server, a design terminal, a road parameter design module, and a road parameter adjustment module. The computing network is connected to the server and the design terminal. The road parameter design module is used to provide an initial design scheme based on existing data, and the road parameter adjustment module is used to perform specific parameters of the road model in a three-dimensional scene.

[0053] In one embodiment, the road parameter design module establishes a feedback mechanism. After inputting existing data for learning, it continuously provides road condition changes and actual operation data, and continuously optimizes and adjusts the design scheme.

[0054] When the present invention is working: construct a road construction scene model in equal proportion, refer to the actual traffic flow data and personnel circulation data during the construction of the model, and construct an intelligent AI model. Feed the existing road evolution data into the AI model, and obtain the road conditions, traffic flow, and environmental data in real time, and integrate them into the AI model to achieve intelligent prediction and analysis. Enter the road construction scene data into the three-dimensional scene model. Before entering, simplify the data, filter out unnecessary data, and examine the future of scene changes. Provide this data as a variable to the three-dimensional scene model. Screen similar scenes through existing data, and provide a road preset scheme based on the road structure of similar scenes. Construct a road structure model in the three-dimensional scene model according to the initial preset parameters of the road. When constructing the model, enter the environmental change data as a variable, calculate the road usage scenario through the intelligent AI, and simulate the road operation state. Evaluate the extreme usage state of the road, optimize the road structure scheme, evaluate the impact of the design scheme on the environment, and optimize the design to achieve road carbon reduction and ecological friendliness. Establish a real-time feedback mechanism, continuously adjust and optimize the design scheme according to road condition changes and actual operation data, improve road management efficiency and safety, build an entity equal-proportion model, simulate the road usage state, and complete the optimization of the road structure.

[0055] As described above, the above are only the specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various changes or substitutions, and these should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An intelligent road structure design method, characterized in that: The following steps are involved: S1, build a three-dimensional model; S2, input scene data; S3, design road parameters; S4, constructing a road model; S5, extrapolating road evolution; S6. Environmental impact assessment; S7. Adjust the road model.

2. An intelligent road structure design method according to claim 1, characterized in that: In S1, a road construction scenario model is constructed in proportion. When constructing the model, the actual vehicle flow data and personnel circulation data are referred to, and an intelligent AI model is constructed. The existing road evolution data is fed to the AI ​​model, and the road condition, traffic flow and environmental data are obtained in real time and integrated into the AI ​​model to realize intelligent prediction and analysis.

3. The intelligent road structure design method according to claim 1, characterized in that: In S2, the road construction scene data is entered into the three-dimensional scene model. Before entering, the data is simplified, unnecessary data is filtered out, and the prospects of scene changes are examined. The data is provided to the three-dimensional scene model as a variable, similar scenes are screened through existing data, and road preset plans are provided based on the road structure of similar scenes.

4. The intelligent road structure design method according to claim 1, characterized in that: In said S4, a road structure model is constructed in the three-dimensional scene model according to the initial preset parameters of the road, and the environmental change data is input as a variable when constructing the model.

5. The intelligent road structure design method according to claim 1, characterized in that: In the S5, intelligent AI is used to infer road usage scenarios and simulate road operating conditions, so as to evaluate the extreme usage conditions of the road and optimize the road structure plan.

6. The intelligent road structure design method according to claim 1, characterized in that: In said S6, the impact of the design scheme on the environment is evaluated, and the design is optimized to achieve carbon reduction and eco-friendliness of the road.

7. The intelligent road structure design method according to claim 1, characterized in that: In the S7, a real-time feedback mechanism is established to continuously adjust and optimize the design plan according to changes in road conditions and actual operation data, improve road management efficiency and safety, build a physical proportional model, simulate road usage status, and complete the optimization of the road structure.

8. An intelligent road structure design system, characterized by: It includes a computing network, a server, a design terminal, a road parameter design module and a road parameter adjustment module. The computing network connects the server and the design terminal. The road parameter design module is used to provide an initial design plan based on existing data. The road parameter adjustment module is used to adjust the specific parameters of the road model in a three-dimensional scene.

9. An intelligent road structure design system according to claim 8, characterized in that: The road parameter design module establishes a feedback mechanism, and after inputting existing data for learning, it continuously provides road condition changes and actual operation data, and continuously optimizes and adjusts the design plan.

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