Traffic infrastructure layout simulation optimization method and system for cooperative development of urban and rural areas

Abstract

The invention relates to the technical field of traffic planning, and discloses a traffic infrastructure layout simulation optimization method and system for collaborative development of urban and rural areas, and the method comprises the steps: carrying out the spatial correlation analysis of the urban and rural areas, and obtaining basic connection network data; based on the basic contact network data, performing scheme construction on a historical traffic network to obtain a candidate scheme set so as to determine traffic improvement effect data of the urban and rural areas; performing collaborative efficiency evaluation on the candidate scheme set and the traffic improvement effect data to obtain an optimization scheme set of the urban and rural areas; performing staged matching on the optimization scheme set and the development plan of the urban and rural areas to obtain a staged implementation sequence of the urban and rural areas; performing collaborative iterative optimization on the staged implementation sequence to obtain a refined construction sequence of the urban and rural areas; performing simulation verification on the refined construction sequence to obtain a traffic infrastructure layout optimization scheme of the urban and rural areas; according to the invention, the efficiency of urban and rural area traffic infrastructure layout optimization can be improved.

Description

Technical Field

[0001] This invention relates to the field of transportation planning technology, and in particular to a method and system for simulating and optimizing the layout of transportation infrastructure for coordinated development of urban and rural areas. Background Technology

[0002] Existing urban and rural regional transportation infrastructure layout planning technologies fail to systematically collect and integrate urban and rural spatial correlation elements, making it difficult to construct basic network data that accurately reflects the connections within the region. This results in a lack of scientific rigor in identifying bottleneck sections in historical transportation networks, and optimization schemes cannot specifically address the problem of traffic pressure transmission. Traditional methods lack effective traffic state simulation and quantitative analysis of improvement effects during the scheme construction process, making it difficult for schemes to simultaneously improve traffic connectivity efficiency and service coverage, thus failing to meet the actual needs of coordinated urban and rural regional development.

[0003] In the subsequent process of optimizing the layout of transportation infrastructure, existing technologies lack a standardized collaborative efficiency evaluation system, making it difficult to objectively and fairly evaluate the comprehensive benefits of candidate solutions. Furthermore, the lack of a phased matching mechanism adapted to urban and rural development plans leads to an irrational implementation sequence of optimization solutions. At the same time, the optimization process lacks dynamic iterative adjustments and simulation verification, which can easily lead to implementation conflicts, inefficient resource allocation, and other problems, making it impossible to form a refined construction sequence. Therefore, how to achieve precise optimization and efficient implementation of the layout of urban and rural transportation infrastructure has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a simulation optimization method and system for the layout of transportation infrastructure for coordinated development of urban and rural areas, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this invention provides a simulation optimization method for the layout of transportation infrastructure oriented towards coordinated urban and rural development, comprising: S1. Conduct spatial correlation analysis on urban and rural areas to obtain basic connection network data of urban and rural areas; S2. Based on basic network data, construct schemes for the historical transportation network in urban and rural areas to obtain a set of candidate schemes for urban and rural areas, so as to determine the data on the effect of traffic improvement in urban and rural areas. S3. Conduct a collaborative performance evaluation of the candidate scheme set and traffic improvement effect data to obtain the optimized scheme set for urban and rural areas; S4. Match the optimized scheme set with the development plans of urban and rural areas in stages to obtain the phased implementation sequence of urban and rural areas. S5. Perform collaborative iterative optimization on the phased implementation sequence to obtain a refined construction sequence for urban and rural areas; S6. Simulate and verify the refined construction sequence to obtain an optimized layout scheme for urban and rural transportation infrastructure.

[0006] In a preferred embodiment, spatial correlation analysis is performed on urban and rural areas to obtain basic connection network data for urban and rural areas, including: Spatial data is collected from urban and rural areas to obtain spatial correlation element data of urban and rural areas; A unified coordinate system transformation is performed on the boundary spatial data of urban and rural areas to obtain the regional spatial base of urban and rural areas; Based on the regional spatial base, spatial gridding is performed on spatially related element data to obtain a regular spatial grid set for urban and rural areas; Feature extraction is performed on the spatial grids in the regular spatial grid set to obtain the associated feature set of the spatial grids; Feature fusion is performed on the associated feature set to obtain comprehensive connection strength data of the spatial grid; By constructing a network based on the comprehensive connection strength data and the adjacency relationships of the spatial grid, basic connection network data for urban and rural areas is obtained.

[0007] In a preferred embodiment, based on basic network data, schemes are constructed for historical transportation networks in urban and rural areas to obtain a set of candidate schemes for urban and rural areas, thereby determining the traffic improvement effect data for urban and rural areas, including: Based on basic network data, the carrying capacity of historical transportation networks in urban and rural areas is identified to determine the bottleneck sections of the historical transportation networks. By optimizing the design of bottleneck road sections, a solution for improving the urban and rural transportation network can be obtained. By combining and expanding the transportation network improvement schemes, a set of candidate schemes for urban and rural areas is obtained; Based on historical traffic networks, traffic conditions are simulated on the candidate scheme set to obtain simulated traffic network status data for urban and rural areas. Based on simulated traffic network status data, the traffic connectivity efficiency and service coverage of urban and rural areas are simulated and evolved to obtain data on the traffic improvement effect in urban and rural areas. In a preferred embodiment, the bottleneck road section is optimized to obtain a traffic network improvement plan for urban and rural areas, including: By tracing the upstream traffic sources and downstream traffic destinations of bottleneck road sections, the traffic pressure transmission path of bottleneck road sections can be obtained. The traffic carrying capacity of key nodes in the traffic pressure transmission path is determined to obtain the saturation state data of the key nodes; Based on saturation state data, traffic flow is reconstructed at key nodes to obtain an optimized traffic organization scheme for urban and rural areas. Based on the traffic pressure transmission path, the diversion potential of parallel and adjacent road segments of the bottleneck section is analyzed to obtain diversion path guidance schemes for urban and rural areas. By coordinating the optimization of node traffic organization schemes with diversion path guidance schemes, a traffic network improvement scheme for urban and rural areas is obtained.

[0008] In a preferred embodiment, a collaborative effectiveness evaluation is performed on the candidate solution set and traffic improvement effect data to obtain an optimized solution set for urban and rural areas, including: The traffic improvement effect data is standardized to obtain the normalized efficiency index and normalized coverage index of the candidate scheme set; Based on the basic connection network data, network correlation analysis is performed on the candidate solution set to obtain the basic value of the synergistic effect of the candidate solution set; Based on the normalized efficiency index, normalized coverage index, and basic value of synergy effect, the synergy effectiveness of the candidate solution set is calculated. The formula for calculating synergy effectiveness is as follows: ; in, Indicates synergistic effectiveness. This represents the normalized efficiency index. Indicates the normalized coverage index. This represents the baseline value of the synergistic effect. This represents the preset synergistic effect adjustment coefficient. Represents the logarithmic function. This represents the square root operation; based on collaborative efficiency, the candidate solution set is sorted and filtered to obtain the optimal solution set for urban and rural areas.

[0009] In a preferred embodiment, the optimized scheme set is matched with the development plan of urban and rural areas in stages to obtain a phased implementation sequence for urban and rural areas, including: The development plans of urban and rural areas are deconstructed into stages to obtain information on the stage division and constraints of the development plans; Key attributes are extracted from the set of optimization solutions to obtain the attribute features of the set of optimization solutions; Based on the stage division information, constraints and attribute characteristics, stage matching is performed on the set of optimization solutions to obtain the stage allocation relationship of the set of optimization solutions. The phased allocation relationships of the plan are serialized and arranged to obtain a phased implementation sequence for urban and rural areas.

[0010] In a preferred embodiment, the phased allocation relationship of the scheme is serialized and arranged to obtain a phased implementation sequence for urban and rural areas, including: By sorting out the allocation relationships between the different phases of the plan, a priority sequence for implementation in urban and rural areas is obtained. Based on the development plan, the constraint relationship of the allocation relationship in the phase of the scheme is extracted to obtain the inter-phase connection constraint of urban and rural areas. The implementation priority sequence and inter-stage connection constraints are correlated and coupled, and the coupled data is planned and compiled to obtain detailed implementation data for urban and rural areas; By performing structural verification on detailed implementation data, a phased implementation sequence for urban and rural areas was obtained.

[0011] In a preferred embodiment, the phased implementation sequence is iteratively optimized to obtain a refined construction sequence for urban and rural areas, including: The phased implementation sequence was simulated and analyzed to obtain the implementation effectiveness evaluation results of the phased implementation sequence; Based on the implementation effectiveness evaluation results, conflict diagnosis is performed on the phased implementation sequence to obtain the set of conflicts to be optimized in the phased implementation sequence; Based on the set of conflicts to be optimized, the phased implementation sequence is coordinated and adjusted to obtain the iterative optimization sequence of the phased implementation sequence; The iterative optimization sequence is comprehensively verified, and the verified sequence is selected for optimal selection to obtain the refined construction sequence for urban and rural areas.

[0012] In a preferred embodiment, the refined construction sequence is simulated and verified to obtain an optimized layout scheme for urban and rural transportation infrastructure, including: Scenario simulations were conducted on the refined construction sequence to obtain simulation feedback data for urban and rural areas; Based on the simulation feedback data, the refined construction sequence is adaptively adjusted to obtain an executable construction sequence for urban and rural areas; By conducting integrated planning of feasible construction sequences, a framework for the layout of urban and rural transportation infrastructure is obtained. By comprehensively integrating the framework of the transportation infrastructure layout plan, an optimized layout plan for transportation infrastructure in urban and rural areas is obtained.

[0013] To address the aforementioned problems, this invention also provides a simulation and optimization system for the layout of transportation infrastructure oriented towards coordinated urban and rural development. The system includes: The system comprises the following modules: Spatial Correlation Analysis Module, used to perform spatial correlation analysis on urban and rural areas to obtain basic connection network data; Scheme Construction Module, used to construct schemes based on the basic connection network data for historical transportation networks in urban and rural areas to obtain a set of candidate schemes, thereby determining the traffic improvement effect data; Collaborative Efficiency Evaluation Module, used to evaluate the collaborative efficiency of the candidate scheme set and traffic improvement effect data to obtain an optimized scheme set for urban and rural areas; Phased Matching Module, used to match the optimized scheme set with the development plans of urban and rural areas in a phased manner to obtain a phased implementation sequence for urban and rural areas; Collaborative Iterative Optimization Module, used to perform collaborative iterative optimization on the phased implementation sequence to obtain a refined construction sequence for urban and rural areas; and Simulation Verification Module, used to simulate and verify the refined construction sequence to obtain an optimized scheme for the layout of transportation infrastructure in urban and rural areas.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention conducts a comprehensive spatial correlation analysis of urban and rural areas to accurately construct basic connection network data, providing solid data support for optimizing the layout of transportation infrastructure. Based on this data, scheme construction and traffic state simulation can be carried out to accurately identify traffic bottlenecks and form targeted improvement schemes, effectively improving traffic connectivity efficiency and service coverage, and making the layout of transportation infrastructure more in line with the actual traffic needs and spatial correlation characteristics of urban and rural areas.

[0015] 2. This invention selects and optimizes schemes by using a quantitative collaborative efficiency evaluation system, and combines urban and rural development plans for phased matching and collaborative iterative optimization to form a scientific and reasonable refined construction sequence. Through simulation verification and adaptive adjustment, it ensures that the layout scheme has good executability and adaptability, significantly improves the accuracy and implementation efficiency of transportation infrastructure layout optimization, and provides strong transportation support for the coordinated development of urban and rural areas. Attached Figure Description

[0016] Figure 1 A flowchart illustrating a method for simulating and optimizing the layout of transportation infrastructure for coordinated development of urban and rural areas, provided in an embodiment of the present invention; Figure 2 A functional block diagram of a transportation infrastructure layout simulation and optimization system for coordinated urban and rural development, provided in an embodiment of the present invention; The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0018] This application provides a simulation optimization method for the layout of transportation infrastructure for coordinated urban and rural development. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the simulation optimization method for the layout of transportation infrastructure for coordinated urban and rural development can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0019] Reference Figure 1 The diagram shown is a flowchart illustrating a method for simulating and optimizing the layout of transportation infrastructure for coordinated urban and rural development, according to an embodiment of the present invention. In this embodiment, the method includes: S1. Conduct spatial correlation analysis on urban and rural areas to obtain basic connection network data of urban and rural areas; In this embodiment of the invention, spatial correlation analysis is performed on urban and rural areas to obtain basic connection network data of urban and rural areas, including: Spatial data is collected from urban and rural areas to obtain spatial correlation element data of urban and rural areas; A unified coordinate system transformation is performed on the boundary spatial data of urban and rural areas to obtain the regional spatial base of urban and rural areas; Based on the regional spatial base, spatial gridding is performed on spatially related element data to obtain a regular spatial grid set for urban and rural areas; Feature extraction is performed on the spatial grids in the regular spatial grid set to obtain the associated feature set of the spatial grids; Feature fusion is performed on the associated feature set to obtain comprehensive connection strength data of the spatial grid; By constructing a network based on the comprehensive connection strength data and the adjacency relationships of the spatial grid, basic connection network data for urban and rural areas is obtained.

[0020] Comprehensive collection of various spatial data related to transportation within urban and rural areas, covering geospatial information such as road distribution, land use types, population settlements, industrial parks, and public service facilities, will be conducted. These scattered information systems will be collected and organized to form complete spatial correlation element data for urban and rural areas.

[0021] By adopting a unified geographic coordinate system standard, coordinate transformation operations are performed on the collected urban and rural regional boundary spatial data. By correcting the coordinate parameters of each boundary point one by one, the coordinate system differences of boundary data from different sources are eliminated, ensuring that the spatial position of urban and rural regional boundaries is accurate and unified, thereby obtaining a standardized regional spatial base for urban and rural areas.

[0022] Based on a defined regional spatial base, the entire urban and rural area is divided into several non-overlapping and continuously covering spatial grids according to a preset fixed grid size and shape. Each spatial grid is uniquely identified, and spatially related element data is allocated to each grid according to its spatial location, forming a regular spatial grid set for the urban and rural area with a well-structured structure.

[0023] For each spatial grid in the regular spatial grid set, we conduct in-depth analysis of the attribute characteristics and spatial relationships of the spatially related elements contained in the grid, and extract key information that can reflect the interaction between grids, such as the traffic flow carrying capacity within the grid, the service radiation capacity of various facilities, and the ease of connection with other grids, and summarize them to form a unique set of related features for each spatial grid.

[0024] The association feature set of each spatial grid is systematically integrated. Based on the influence weight of various association features on urban and rural regional transportation links, multiple association features of the same grid are integrated into a single quantitative index through comprehensive evaluation. This index directly reflects the tightness of transportation links between grids, and finally obtains the comprehensive connection strength data of each spatial grid.

[0025] Based on the comprehensive connection strength data of each spatial grid and combined with the adjacent position relationship between grids, a networked connection structure is constructed. Each spatial grid is regarded as a node in the network, and the comprehensive connection strength data between grids is used as the weight of the connection edge between nodes. At the same time, the adjacency logical relationship between nodes is clarified, thereby forming basic connection network data that can comprehensively reflect the spatial connection situation of various parts in urban and rural areas.

[0026] The beneficial effects are that through a systematic process of spatial data collection, coordinate unification, grid processing, feature extraction, fusion, and network construction, basic connection network data of urban and rural areas can be obtained accurately and comprehensively. This data fully presents the connection characteristics and connection strength of various parts of urban and rural space, providing accurate and reliable basic data support for subsequent optimization of transportation infrastructure layout, and ensuring that subsequent scheme design and evaluation can conform to the actual spatial connection status of urban and rural areas.

[0027] S2. Based on basic network data, construct schemes for the historical transportation network in urban and rural areas to obtain a set of candidate schemes for urban and rural areas, so as to determine the data on the effect of traffic improvement in urban and rural areas. In this embodiment of the invention, based on basic network data, a scheme is constructed for the historical transportation network in urban and rural areas to obtain a set of candidate schemes for urban and rural areas, in order to determine the traffic improvement effect data of urban and rural areas, including: Based on basic network data, the carrying capacity of historical transportation networks in urban and rural areas is identified to determine the bottleneck sections of the historical transportation networks. By optimizing the design of bottleneck road sections, a solution for improving the urban and rural transportation network can be obtained. By combining and expanding the transportation network improvement schemes, a set of candidate schemes for urban and rural areas is obtained; Based on historical traffic networks, traffic conditions are simulated on the candidate scheme set to obtain simulated traffic network status data for urban and rural areas. Based on simulated traffic network status data, the traffic connectivity efficiency and service coverage of urban and rural areas are simulated and evolved to obtain data on the traffic improvement effect in urban and rural areas. By optimizing the design of bottleneck road sections, a transportation network improvement plan for urban and rural areas is obtained, including: By tracing the upstream traffic sources and downstream traffic destinations of bottleneck road sections, the traffic pressure transmission path of bottleneck road sections can be obtained. The traffic carrying capacity of key nodes in the traffic pressure transmission path is determined to obtain the saturation state data of the key nodes; Based on saturation state data, traffic flow is reconstructed at key nodes to obtain an optimized traffic organization scheme for urban and rural areas. Based on the traffic pressure transmission path, the diversion potential of parallel and adjacent road segments of the bottleneck section is analyzed to obtain diversion path guidance schemes for urban and rural areas. By coordinating the optimization of node traffic organization schemes with diversion path guidance schemes, a traffic network improvement scheme for urban and rural areas is obtained.

[0028] Based on the acquired basic network data, we comprehensively sort out the traffic flow, capacity and correlation strength with the surrounding spatial grid of each road segment in the historical transportation network of urban and rural areas. By comparing the correlation carrying capacity of each road segment with its own design carrying capacity standard, we accurately identify road segments with carrying capacity exceeding the standard and traffic efficiency significantly reduced, and determine these road segments as bottleneck road segments of the historical transportation network.

[0029] Following the traffic flow direction of the bottleneck section, the origin and departure areas and travel routes of all vehicles entering the section are fully traced to clarify the distribution of upstream traffic sources. At the same time, the final destination area and subsequent travel routes of vehicles leaving the section are tracked in detail to clarify the distribution characteristics of downstream traffic destinations. By fully reconstructing the traffic flow transmission process, a clear path for the transmission of traffic pressure in the bottleneck section is formed.

[0030] For key nodes such as important intersections and road segment connections along the traffic pressure transmission path, detailed information such as the number of lanes, signal timing, and actual traffic flow of each key node is collected. By analyzing the maximum traffic flow that the node can smoothly manage per unit time and comparing it with the current actual traffic flow, it is determined whether each key node is in a state of traffic saturation, thereby obtaining saturation status data of the key nodes.

[0031] Based on the saturation data of key nodes, for nodes that are saturated or close to saturation, vehicle routes are replanned, turning lane settings are adjusted, and the traffic organization of entrance and exit lanes is optimized. By rationally allocating traffic flow space and time, traffic conflicts at nodes are reduced, forming a node traffic organization optimization scheme for urban and rural areas that can improve node traffic efficiency.

[0032] Based on the established traffic pressure transmission path, we examine the current traffic flow and remaining capacity of adjacent road segments with similar functions and parallel directions around the bottleneck road segment. We analyze the maximum potential of these adjacent road segments to absorb the traffic diverted from the bottleneck road segment. Combining the connectivity between road segments, we develop specific route guidelines to guide some traffic flow from the bottleneck road segment to adjacent road segments, thus obtaining a diversion path guidance scheme for urban and rural areas.

[0033] By taking into account both the node traffic organization optimization plan and the diversion path guidance plan, we can ensure that the node optimization measures and the diversion guidance measures complement each other and do not conflict with each other. By coordinating the implementation details of the two, we can make the improvement of node traffic efficiency and the effective use of diversion paths work together to alleviate the traffic pressure on bottleneck sections and ultimately form a scientific and reasonable urban and rural regional traffic network improvement plan.

[0034] The existing traffic network improvement schemes are combined and expanded in multiple dimensions. Different bottleneck road optimization measures and different diversion path designs are reasonably combined to generate multiple traffic network optimization schemes with differences. These schemes together constitute a candidate scheme set covering urban and rural areas with multiple optimization possibilities.

[0035] Based on the actual operation data of historical transportation networks in urban and rural areas, including information such as traffic flow, speed and travel time of each road segment, the traffic operation status of each scheme in the candidate scheme set is simulated and restored. By restoring the changes in traffic flow of each road segment and the traffic conditions of nodes after the implementation of the scheme, the simulated traffic network status data of urban and rural areas corresponding to each scheme is obtained.

[0036] Based on simulated traffic network status data, we continuously track changes in indicators such as traffic speed and travel time on various road sections in urban and rural areas over different time periods to analyze the improvement in traffic connectivity efficiency. At the same time, we statistically analyze the area, population, and number of industrial parks that can enjoy convenient transportation services after the implementation of the plan to analyze the expansion of service coverage. Through dynamic evolution analysis of these two aspects, we obtain data on the traffic improvement effect in urban and rural areas.

[0037] The beneficial effects include accurately locating bottleneck sections of historical traffic networks through basic network data, systematically optimizing and designing traffic network improvement schemes and expanding them into a set of candidate schemes, and then obtaining traffic improvement effect data through traffic state simulation and simulated evolution. The entire process is logically rigorous and progressive, ensuring the relevance and effectiveness of the candidate scheme set, while accurately quantifying the improvement effect of each scheme, providing comprehensive and reliable data support for subsequent collaborative effectiveness evaluation, and ensuring the scientific and rational nature of traffic infrastructure layout optimization.

[0038] S3. Conduct a collaborative performance evaluation of the candidate scheme set and traffic improvement effect data to obtain the optimized scheme set for urban and rural areas; In this embodiment of the invention, a collaborative effectiveness evaluation is performed on the candidate solution set and traffic improvement effect data to obtain an optimized solution set for urban and rural areas, including: The traffic improvement effect data is standardized to obtain the normalized efficiency index and normalized coverage index of the candidate scheme set; Based on the basic connection network data, network correlation analysis is performed on the candidate solution set to obtain the basic value of the synergistic effect of the candidate solution set; Based on the normalized efficiency index, normalized coverage index, and basic value of synergy effect, the synergy effectiveness of the candidate solution set is calculated. The formula for calculating synergy effectiveness is as follows: ; in, Indicates synergistic effectiveness. This represents the normalized efficiency index. Indicates the normalized coverage index. This represents the baseline value of the synergistic effect. This represents the preset synergistic effect adjustment coefficient. Represents the logarithmic function. This represents the square root operation; based on collaborative efficiency, the candidate solution set is sorted and filtered to obtain the optimal solution set for urban and rural areas.

[0039] Data on the traffic improvement effects of each candidate scheme are collected. This data includes information related to traffic connectivity efficiency and service coverage. A unified numerical conversion method is used to adjust different types of traffic improvement effect data to the same standard numerical range, eliminating the incomparability caused by different units of measurement of various data. Finally, the normalized efficiency index and normalized coverage index of the candidate scheme set are obtained.

[0040] Based on the established basic connection network data, we analyze the transportation network structure corresponding to each scheme in the candidate scheme set one by one, analyze the correlation and matching between the transportation network and each spatial grid in the basic connection network after the implementation of the scheme, and the strengthening effect of the transportation network on the spatial connection between urban and rural areas. By systematically sorting out these correlation information, we obtain the basic value of the synergistic effect of the candidate scheme set.

[0041] By integrating the normalized efficiency index, normalized coverage index, and basic value of synergy effect corresponding to each candidate scheme, and using a predetermined numerical integration method, the impact of the three indicators is incorporated into a unified calculation to comprehensively consider the overall performance of the scheme in terms of traffic efficiency, service coverage, and network synergy, thus obtaining the synergistic effectiveness of each candidate scheme.

[0042] All candidate solutions are arranged in order of their collaborative effectiveness, and a screening threshold for collaborative effectiveness is clearly set. Solutions that achieve or exceed the threshold are retained, while those that do not reach the threshold are removed. From the candidate solution set, the solution with the best overall performance is selected to form an optimized solution set for urban and rural areas.

[0043] The normalized efficiency index is derived from the standardization of traffic connectivity efficiency-related data in traffic improvement data, and is obtained by eliminating dimensional differences through a unified standard range.

[0044] The normalized coverage index is derived from the standardized processing of service coverage data in the traffic improvement effect data, and is formed after adjustment to a unified comparable interval.

[0045] The baseline value of the synergistic effect is derived from the network correlation analysis of the candidate solution set based on the basic connection network data. It is obtained by analyzing the degree of fit between the solution and the basic connection network and the correlation strengthening effect.

[0046] The preset synergy effect adjustment coefficient is a fixed value set in advance based on the overall goal of coordinated development between urban and rural areas and the actual needs of transportation infrastructure layout.

[0047] The formula comprehensively considers the traffic connectivity efficiency, service coverage, and synergy with the basic urban and rural connection networks of the candidate schemes. Through systematic numerical calculations, it quantifies the synergistic effectiveness of each candidate scheme, providing a unified and accurate basis for judging the merits of the candidate schemes.

[0048] In the calculation process, the normalized efficiency index is first multiplied by the normalized coverage index, and the square root of the product is taken to obtain the first part of the value. Then, the logarithm of the base value of synergy effect plus one is calculated. This logarithm is multiplied by the preset synergy effect adjustment coefficient, and then the product is added to 1 to obtain the second part of the value. Finally, the first part of the value and the second part of the value are multiplied to obtain the synergy effectiveness.

[0049] The formula shows that when the normalized efficiency index increases, the synergistic effectiveness also increases; when the normalized coverage index increases, the synergistic effectiveness increases simultaneously; when the base value of the synergistic effect increases, the synergistic effectiveness shows an upward trend; when the preset synergistic effect adjustment coefficient remains unchanged, the positive changes of the first three indicators will all drive the synergistic effectiveness to a higher value.

[0050] The beneficial effects are that standardized processing enables unified and comparable traffic improvement data, accurate analysis of basic synergy values ​​based on fundamental network data, comprehensive calculation of synergy effectiveness, and sorting and filtering to ensure that the optimized solution set can fully consider traffic efficiency, service coverage, and network synergy performance. This provides high-quality and highly adaptable solution support for the phased implementation of subsequent traffic infrastructure layout, and improves the scientificity and accuracy of the overall layout optimization.

[0051] S4. Match the optimized scheme set with the development plans of urban and rural areas in stages to obtain the phased implementation sequence of urban and rural areas. In this embodiment of the invention, the optimized scheme set is matched with the development plans of urban and rural areas in stages to obtain a phased implementation sequence for urban and rural areas, including: The development plans of urban and rural areas are deconstructed into stages to obtain information on the stage division and constraints of the development plans; Key attributes are extracted from the set of optimization solutions to obtain the attribute features of the set of optimization solutions; Based on the stage division information, constraints and attribute characteristics, stage matching is performed on the set of optimization solutions to obtain the stage allocation relationship of the set of optimization solutions. The phased allocation relationships of the plan are serialized and arranged to obtain a phased implementation sequence for urban and rural areas.

[0052] The phased allocation relationships of the plan are sequentially arranged to obtain a phased implementation sequence for urban and rural areas, including: By sorting out the allocation relationships between the different phases of the plan, a priority sequence for implementation in urban and rural areas is obtained. Based on the development plan, the constraint relationship of the allocation relationship in the phase of the scheme is extracted to obtain the inter-phase connection constraint of urban and rural areas. The implementation priority sequence and inter-stage connection constraints are correlated and coupled, and the coupled data is planned and compiled to obtain detailed implementation data for urban and rural areas; By performing structural verification on detailed implementation data, a phased implementation sequence for urban and rural areas was obtained.

[0053] By thoroughly interpreting urban and rural development planning documents, and following the chronological order and the progressive logic of development goals, the entire development plan is divided into several continuous and interconnected stages. The time span, core development tasks, and expected goals of each stage are clearly defined. At the same time, the constraints of each stage in terms of resource supply, spatial layout, and policy requirements are identified, thus forming the stage division information and constraints of the development plan.

[0054] The core content of each scheme in the optimization scheme set was comprehensively reviewed, and key attributes related to the stage matching were extracted, including the construction cycle of the scheme, the total amount of resources required, the coverage area, the core construction goals, and the degree of alignment with the regional development priorities. These key attributes were systematically integrated to form the attribute characteristics of the optimization scheme set that can reflect the core characteristics of the scheme.

[0055] Using the phase division information of the development plan as a framework, and combining the constraints of each phase, the attribute characteristics of each optimization scheme are compared with the degree of fit of different phases. It is determined whether the construction cycle of the scheme is in line with the phase time span, whether the required resources are within the phase resource supply range, and whether the core objectives are consistent with the phase development tasks. Based on this, each optimization scheme is clearly assigned to the corresponding development phase, forming the scheme phase allocation relationship of the optimization scheme set.

[0056] For all optimization schemes in the same stage of the scheme allocation relationship, the implementation order of each scheme in that stage is determined according to factors such as the urgency of the scheme, its contribution to the stage development goals, and its dependence on other schemes, and then arranged in order to form an implementation priority sequence for urban and rural areas.

[0057] By re-examining the development plans of urban and rural areas, focusing on analyzing the requirements for the connection between different stages of development, extracting information such as the supporting conditions of the implementation results of the previous stage plan for the subsequent stage plan, the connection relationship between the construction content of the plans of different stages, and the rules for the continuation and adjustment of resource allocation between stages, clarifying the mutual constraints in the implementation process of each stage plan, and obtaining the inter-stage connection constraints of urban and rural areas.

[0058] The implementation priority sequence and inter-phase connection constraints are fully integrated. Based on the inter-phase connection constraints, the implementation order of the plans within the same phase is adjusted to ensure that the implementation of the plan in the previous phase can create the required implementation conditions for the plan in the next phase. At the same time, based on the integrated relationship, the specific implementation time, resource allocation amount, key implementation nodes, and phased acceptance standards of each plan are formulated in detail, forming detailed implementation data for urban and rural areas.

[0059] Professional personnel were organized to conduct a comprehensive review of the detailed implementation data, verifying whether the implementation sequence of each plan complied with the constraints of inter-stage connection, whether the resource allocation was reasonable, whether the implementation time was consistent with the development planning stage, and whether the key node settings were scientific. Any structural contradictions or unreasonable aspects were corrected in a timely manner. After the review and confirmation that there were no errors, a phased implementation sequence for urban and rural areas was obtained.

[0060] The beneficial effects are that by deconstructing the development plan into stages and extracting the attributes of the optimized scheme set, the optimized scheme can be accurately matched with the development stage. Then, through serialization and structural verification, a scientific phased implementation sequence is formed, which ensures that the implementation of the transportation infrastructure layout optimization scheme is highly consistent with the urban and rural regional development plan, takes into account the priority of implementation and the connection between stages, provides clear guidance for the orderly implementation of the scheme, and enhances the synergy between transportation infrastructure construction and regional development.

[0061] S5. Perform collaborative iterative optimization on the phased implementation sequence to obtain a refined construction sequence for urban and rural areas; In this embodiment of the invention, the phased implementation sequence is optimized through collaborative iteration to obtain a refined construction sequence for urban and rural areas, including: The phased implementation sequence was simulated and analyzed to obtain the implementation effectiveness evaluation results of the phased implementation sequence; Based on the implementation effectiveness evaluation results, conflict diagnosis is performed on the phased implementation sequence to obtain the set of conflicts to be optimized in the phased implementation sequence; Based on the set of conflicts to be optimized, the phased implementation sequence is coordinated and adjusted to obtain the iterative optimization sequence of the phased implementation sequence; The iterative optimization sequence is comprehensively verified, and the verified sequence is selected for optimal selection to obtain the refined construction sequence for urban and rural areas.

[0062] Based on the scheduled implementation time, construction process, and resource allocation plan of each scheme in the phased implementation sequence, we recreate the various execution links in the actual construction scenario, track the traffic improvement effect, resource utilization, and impact on the development of the surrounding area after the implementation of each phase of the scheme, and form the implementation effectiveness evaluation results of the phased implementation sequence by systematically sorting out these projection information.

[0063] Based on the implementation effectiveness evaluation results, we systematically examined the potential conflicts and problems that may arise during the implementation of each plan in the phased implementation sequence. We focused on analyzing resource competition, overlapping implementation time, and conflicting construction content among different plans within the same phase, as well as issues such as gaps in the connection between plans in different phases and insufficient supporting facilities. We then compiled and organized these clearly existing conflicts to obtain the set of conflicts to be optimized in the phased implementation sequence.

[0064] For each conflict issue in the cluster of conflicts to be optimized, targeted adjustment measures are formulated in conjunction with the overall goals of the phased implementation sequence and the core requirements of each plan. For resource competition conflicts, the resource supply quotas and usage periods of each plan are reallocated; for time overlap conflicts, the start time of the implementation of the plan is adjusted; for connection gap issues, intermediate transitional construction content is added. Through comprehensive and coordinated adjustments, an iterative optimization sequence for the phased implementation sequence is formed.

[0065] The iterative optimization sequence is comprehensively reviewed from multiple dimensions, including feasibility of implementation, effectiveness, and alignment with development plans. The review verifies whether the adjustments to each plan are reasonable, whether conflicts are fully resolved, and whether the expected effectiveness can be achieved after implementation. At the same time, the overall logical coherence and smooth transition between stages of the sequence are verified. The sequence with the best overall performance is selected from the reviewed sequences to obtain the refined construction sequence for urban and rural areas.

[0066] The beneficial effects include accurately grasping the implementation efficiency of the phased implementation sequence through simulation and deduction, identifying problems to be optimized based on conflict diagnosis, forming a refined construction sequence through collaborative adjustment and comprehensive verification, effectively resolving various conflicts in the implementation process, improving the feasibility and rationality of the sequence, ensuring that the construction of transportation infrastructure can be promoted in an orderly manner, and giving full play to its supporting role in the coordinated development of urban and rural areas.

[0067] S6. Simulate and verify the refined construction sequence to obtain an optimized layout scheme for urban and rural transportation infrastructure.

[0068] In this embodiment of the invention, a simulation verification of the refined construction sequence is performed to obtain an optimized layout scheme for urban and rural transportation infrastructure, including: Scenario simulations were conducted on the refined construction sequence to obtain simulation feedback data for urban and rural areas; Based on the simulation feedback data, the refined construction sequence is adaptively adjusted to obtain an executable construction sequence for urban and rural areas; By conducting integrated planning of feasible construction sequences, a framework for the layout of urban and rural transportation infrastructure is obtained. By comprehensively integrating the framework of the transportation infrastructure layout plan, an optimized layout plan for transportation infrastructure in urban and rural areas is obtained.

[0069] Based on the implementation sequence, construction standards, resource input plans, and actual conditions such as the geographical environment and transportation needs of urban and rural areas, a simulation environment that fits the real-world scenario is built to fully reproduce the entire process of each project from initiation to completion. The simulation environment tracks and records the dynamic changes of the transportation network, resource utilization efficiency, expansion of service coverage, and support effect on urban-rural coordinated development during the project implementation process, forming comprehensive simulation feedback data for urban and rural areas.

[0070] By comprehensively reviewing and analyzing the feedback data, we extracted information reflecting problems such as implementation obstacles, unmet expectations, and mismatches with actual needs in the refined construction sequence. In response to these specific problems, and in conjunction with the urban and rural regional transportation development goals and actual resource supply, we made targeted adjustments to the implementation time, construction content, resource allocation ratio, and construction priority of construction projects. This eliminated unreasonable parts of the sequence, making the adjusted sequence more in line with actual implementation conditions, and thus obtaining an executable construction sequence for urban and rural areas.

[0071] Based on an executable construction sequence, and taking into account factors such as the spatial layout, industrial distribution, and population agglomeration characteristics of urban and rural areas, this study clarifies the overall construction direction, core construction nodes, functional positioning and connection relationships of various types of transportation facilities, delineates the construction priorities and scale of transportation infrastructure in different regions, and constructs a framework for the layout of urban and rural transportation infrastructure that is structurally complete and logically clear.

[0072] The various components of the transportation infrastructure layout plan framework are systematically integrated, organically combining the specific planning, functional positioning, connection methods, and implementation guarantee measures of each construction project. The missing supporting content in the plan framework is supplemented and improved to ensure that the various components of the plan framework are coordinated and mutually supportive, forming a complete plan covering construction goals, implementation paths, functional guarantees, and other aspects, ultimately resulting in an optimized plan for the layout of transportation infrastructure in urban and rural areas.

[0073] The beneficial effects are that by conducting scenario simulations and deductions, we can fully grasp the implementation effects and potential problems of the refined construction sequence, form an executable construction sequence through adaptive adjustments, and then construct a complete layout optimization plan through integrated planning and comprehensive integration. This ensures that the plan has good feasibility, adaptability and systematicity, can accurately match the needs of coordinated development between urban and rural areas, provide comprehensive guidance for the scientific construction of transportation infrastructure, and maximize the supporting role of transportation infrastructure in coordinated development between urban and rural areas.

[0074] like Figure 2 The diagram shown is a functional block diagram of a transportation infrastructure layout simulation and optimization system for coordinated urban and rural development provided by an embodiment of the present invention.

[0075] This invention discloses a simulation and optimization system 100 for the layout of transportation infrastructure in urban and rural areas, which can be installed in an electronic device. Depending on the functions implemented, the system 100 may include a spatial correlation analysis module 101, a scheme construction module 102, a collaborative performance evaluation module 103, a phased matching module 104, a collaborative iterative optimization module 105, and a simulation verification module 106. The modules of this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0076] In this embodiment, the functions of each module / unit are as follows: The spatial correlation analysis module 101 is used to perform spatial correlation analysis on urban and rural areas to obtain basic connection network data for urban and rural areas; the scheme construction module 102 is used to construct schemes for the historical transportation network of urban and rural areas based on the basic connection network data to obtain a set of candidate schemes for urban and rural areas, so as to determine the traffic improvement effect data of urban and rural areas; the collaborative effectiveness evaluation module 103 is used to evaluate the collaborative effectiveness of the candidate scheme set and the traffic improvement effect data to obtain an optimized scheme set for urban and rural areas; the phased matching module 104 is used to perform phased matching between the optimized scheme set and the development plan of urban and rural areas to obtain a phased implementation sequence for urban and rural areas; the collaborative iterative optimization module 105 is used to perform collaborative iterative optimization of the phased implementation sequence to obtain a refined construction sequence for urban and rural areas; and the simulation verification module 106 is used to simulate and verify the refined construction sequence to obtain an optimized scheme for the layout of transportation infrastructure in urban and rural areas.

[0077] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0078] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0079] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0080] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0081] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A simulation optimization method for the layout of transportation infrastructure oriented towards coordinated urban and rural development, characterized in that the method... include: S1. Conduct spatial correlation analysis on urban and rural areas to obtain basic connection network data of urban and rural areas; S2. Based on basic network data, construct schemes for the historical transportation network in urban and rural areas to obtain a set of candidate schemes for urban and rural areas, so as to determine the data on the effect of traffic improvement in urban and rural areas. S3. Conduct a collaborative performance evaluation of the candidate scheme set and traffic improvement effect data to obtain the optimized scheme set for urban and rural areas; S4. Match the optimized scheme set with the development plans of urban and rural areas in stages to obtain the phased implementation sequence of urban and rural areas. S5. Perform collaborative iterative optimization on the phased implementation sequence to obtain a refined construction sequence for urban and rural areas; S6. Simulate and verify the refined construction sequence to obtain an optimized layout scheme for urban and rural transportation infrastructure.

2. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 1, characterized in that, Spatial correlation analysis of urban and rural areas yields basic connection network data for these areas, including: Spatial data is collected from urban and rural areas to obtain spatial correlation element data of urban and rural areas; A unified coordinate system transformation is performed on the boundary spatial data of urban and rural areas to obtain the regional spatial base of urban and rural areas; Based on the regional spatial base, spatial gridding is performed on spatially related element data to obtain a regular spatial grid set for urban and rural areas; Feature extraction is performed on the spatial grids in the regular spatial grid set to obtain the associated feature set of the spatial grids; Feature fusion is performed on the associated feature set to obtain comprehensive connection strength data of the spatial grid; By constructing a network based on the comprehensive connection strength data and the adjacency relationships of the spatial grid, basic connection network data for urban and rural areas is obtained.

3. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 1, characterized in that, Based on basic network data, schemes are constructed for historical transportation networks in urban and rural areas, resulting in a set of candidate schemes to determine the effectiveness of transportation improvement in urban and rural areas, including: Based on basic network data, the carrying capacity of historical transportation networks in urban and rural areas is identified to determine the bottleneck sections of the historical transportation networks. By optimizing the design of bottleneck road sections, a solution for improving the urban and rural transportation network can be obtained. By combining and expanding the transportation network improvement schemes, a set of candidate schemes for urban and rural areas is obtained; Based on historical traffic networks, traffic conditions are simulated on the candidate scheme set to obtain simulated traffic network status data for urban and rural areas. Based on simulated traffic network status data, the efficiency of traffic connectivity and service coverage in urban and rural areas are simulated and evolved to obtain data on the traffic improvement effect in urban and rural areas.

4. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 3, characterized in that, By optimizing the design of bottleneck road sections, a transportation network improvement plan for urban and rural areas is obtained, including: By tracing the upstream traffic sources and downstream traffic destinations of bottleneck road sections, the traffic pressure transmission path of bottleneck road sections can be obtained. The traffic carrying capacity of key nodes in the traffic pressure transmission path is determined to obtain the saturation state data of the key nodes; Based on saturation state data, traffic flow is reconstructed at key nodes to obtain an optimized traffic organization scheme for urban and rural areas. Based on the traffic pressure transmission path, the diversion potential of parallel and adjacent road segments of the bottleneck section is analyzed to obtain diversion path guidance schemes for urban and rural areas. By coordinating the optimization of node traffic organization schemes with diversion path guidance schemes, a traffic network improvement scheme for urban and rural areas is obtained.

5. A simulation optimization method for the layout of transportation infrastructure for coordinated urban and rural development as described in claim 1, characterized in that, A collaborative effectiveness evaluation was conducted on the candidate solution set and traffic improvement effect data to obtain an optimized solution set for urban and rural areas, including: The traffic improvement effect data is standardized to obtain the normalized efficiency index and normalized coverage index of the candidate scheme set; Based on the basic connection network data, network correlation analysis is performed on the candidate solution set to obtain the basic value of the synergistic effect of the candidate solution set; Based on the normalized efficiency index, normalized coverage index, and basic value of synergy effect, the synergy effectiveness of the candidate solution set is calculated. The formula for calculating synergy effectiveness is as follows: ; in, Indicates collaborative effectiveness. This represents the normalized efficiency index. Indicates the normalized coverage index. This represents the baseline value of the synergistic effect. This represents the preset synergistic effect adjustment coefficient. Represents the logarithmic function. This represents the square root operation; based on collaborative efficiency, the candidate solution set is sorted and filtered to obtain the optimal solution set for urban and rural areas.

6. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 1, characterized in that, By matching the optimized solution set with the development plans of urban and rural areas in stages, a phased implementation sequence for urban and rural areas is obtained, including: The development plans of urban and rural areas are deconstructed into stages to obtain information on the stage division and constraints of the development plans; Key attributes are extracted from the set of optimization solutions to obtain the attribute features of the set of optimization solutions; Based on the stage division information, constraints and attribute characteristics, stage matching is performed on the set of optimization solutions to obtain the stage allocation relationship of the set of optimization solutions. The phased allocation relationships of the plan are serialized and arranged to obtain a phased implementation sequence for urban and rural areas.

7. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 6, characterized in that, The phased allocation relationships of the plan are sequentially arranged to obtain a phased implementation sequence for urban and rural areas, including: By sorting out the allocation relationships between the different phases of the plan, a priority sequence for implementation in urban and rural areas is obtained. Based on the development plan, the constraint relationship of the allocation relationship in the phase of the scheme is extracted to obtain the inter-phase connection constraint of urban and rural areas. The implementation priority sequence and inter-stage connection constraints are correlated and coupled, and the coupled data is planned and compiled to obtain detailed implementation data for urban and rural areas; By performing structural verification on detailed implementation data, a phased implementation sequence for urban and rural areas was obtained.

8. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 1, characterized in that, By iteratively optimizing the phased implementation sequence, a refined construction sequence for urban and rural areas is obtained, including: The phased implementation sequence was simulated and analyzed to obtain the implementation effectiveness evaluation results of the phased implementation sequence; Based on the implementation effectiveness evaluation results, conflict diagnosis is performed on the phased implementation sequence to obtain the set of conflicts to be optimized in the phased implementation sequence; Based on the set of conflicts to be optimized, the phased implementation sequence is coordinated and adjusted to obtain the iterative optimization sequence of the phased implementation sequence; The iterative optimization sequence is comprehensively verified, and the verified sequence is selected for optimal selection to obtain the refined construction sequence for urban and rural areas.

9. The simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 1, characterized in that, The refined construction sequence was simulated and verified to obtain an optimized layout scheme for urban and rural transportation infrastructure, including: Scenario simulations were conducted on the refined construction sequence to obtain simulation feedback data for urban and rural areas; Based on the simulation feedback data, the refined construction sequence is adaptively adjusted to obtain an executable construction sequence for urban and rural areas; By conducting integrated planning of feasible construction sequences, a framework for the layout of urban and rural transportation infrastructure is obtained. By comprehensively integrating the framework of the transportation infrastructure layout plan, an optimized layout plan for transportation infrastructure in urban and rural areas is obtained.

10. A simulation and optimization system for the layout of transportation infrastructure oriented towards coordinated urban and rural development, characterized in that, The system for implementing the simulation optimization method for transportation infrastructure layout oriented towards coordinated urban and rural development as described in claim 1 includes: The system comprises four modules: Spatial Correlation Analysis Module (for analyzing spatial correlations between urban and rural areas to obtain basic connection network data); Scheme Construction Module (for constructing schemes based on the basic connection network data for historical transportation networks in urban and rural areas to obtain a set of candidate schemes and determine the traffic improvement effect data); Collaborative Efficiency Evaluation Module (for evaluating the collaborative efficiency of the candidate scheme set and traffic improvement effect data to obtain an optimized scheme set for urban and rural areas); Phased Matching Module (for matching the optimized scheme set with the development plans of urban and rural areas in stages to obtain a phased implementation sequence); Collaborative Iterative Optimization Module (for iteratively optimizing the phased implementation sequence to obtain a refined construction sequence for urban and rural areas); and Simulation Verification Module (for simulating and verifying the refined construction sequence to obtain an optimized layout scheme for transportation infrastructure in urban and rural areas).

Images