Traffic control method and system based on satellite-ground cooperation

Abstract

The application discloses a traffic control method and system based on satellite-ground cooperation, relates to the technical field of traffic engineering, and comprises the following steps: reading a global ground traffic network, combining a multi-orbit satellite communication network, fusing to generate a satellite-ground fusion network, and establishing the association between a traffic management system and the satellite-ground fusion network; based on regional control requirements, performing partition identification, and determining a multi-target partition network; performing distributed autonomous management of traffic control, and synchronously collecting continuous cooperative resources; combining a scheduling management model, performing traffic control analysis, and determining traffic scheduling information; performing distributed management of regions, and feeding back management information; determining whether the expected standard is met, if not, identifying a deviation degree, determining compensation scheduling information, and performing traffic management based on the compensation scheduling information. The application solves the technical problem of low traffic management efficiency and accuracy in the prior art, and achieves the technical effect of improving traffic management efficiency and accuracy.

Description

Technical Field

[0001] This invention relates to the field of traffic engineering technology, specifically to a traffic control method and system based on satellite-ground coordination. Background Technology

[0002] Traffic management systems are an indispensable part of modern urban development, playing a crucial role in improving urban traffic efficiency and ensuring traffic safety. Currently, traffic management systems primarily rely on ground-based sensors and monitoring equipment, such as traffic lights, cameras, and sensors, for traffic monitoring and management. These devices transmit data and share information through terrestrial communication networks to achieve traffic control and dispatch. However, the coverage of ground-based sensors and monitoring equipment is limited, failing to comprehensively monitor the entire traffic network. Furthermore, existing traffic management systems lack effective utilization of multi-orbit satellite communication networks, which restricts the efficiency and accuracy of traffic management. Existing technologies suffer from low efficiency and accuracy in traffic management. Summary of the Invention

[0003] This application provides a traffic control method and system based on satellite-ground collaboration, which effectively solves the technical problems of low efficiency and accuracy in traffic management in the prior art, and achieves the technical effect of improving the efficiency and accuracy of traffic management.

[0004] This application provides a traffic control method and system based on satellite-ground cooperation, the technical solution of which is as follows:

[0005] In a first aspect, embodiments of this application provide a traffic control method based on satellite-ground cooperation, the method comprising:

[0006] The entire ground transportation network is read, combined with a multi-orbit satellite communication network, and a satellite-ground integrated network is generated. The traffic management system is then linked to the satellite-ground integrated network.

[0007] Based on the requirements of regional control, the space-ground fusion network is partitioned and identified to determine a multi-objective partitioned network;

[0008] Implement distributed autonomous management of traffic control based on the multi-objective partition network, and synchronously collect continuous collaborative resources;

[0009] By combining the scheduling management model, traffic control analysis based on actual scenarios is conducted to determine traffic scheduling information. The scheduling management model includes a traffic flow scheduling branch and an equipment control branch.

[0010] The traffic scheduling information is fed back to the traffic management system for regional distributed management, and the management information is returned in conjunction with the space-ground fusion network.

[0011] Determine whether the feedback management information meets the expected standard. If not, identify the deviation between the feedback management information and the expected standard, and analyze it in conjunction with the scheduling management model to determine compensation scheduling information.

[0012] In conjunction with the traffic management system, traffic management based on the compensation and scheduling information is performed.

[0013] Secondly, embodiments of this application provide a traffic control system based on satellite-ground cooperation, the system comprising:

[0014] A satellite-ground fusion network generation module is used to read the entire ground traffic network, combine it with a multi-orbit satellite communication network, generate a satellite-ground fusion network, and establish the association between the traffic management system and the satellite-ground fusion network.

[0015] A multi-target partitioned network determination module is used to partition the satellite-ground fusion network based on regional control requirements and determine the multi-target partitioned network.

[0016] A continuous collaborative resource acquisition module is used to perform distributed autonomous management of traffic control based on the multi-objective partition network and synchronously acquire continuous collaborative resources.

[0017] A traffic dispatch information determination module is used to combine a dispatch management model to perform traffic control analysis based on actual scenarios and determine traffic dispatch information. The dispatch management model includes a traffic flow dispatch branch and an equipment control branch.

[0018] The feedback management information feedback module is used to feed back the traffic dispatch information to the traffic management system for regional distributed management, and to combine the feedback management information with the satellite-ground fusion network.

[0019] The compensation scheduling information determination module is used to determine whether the feedback management information meets the expected standard. If not, it identifies the deviation between the feedback management information and the expected standard, analyzes the result in conjunction with the scheduling management model, and determines the compensation scheduling information.

[0020] The traffic management execution module is used in conjunction with the traffic management system to perform traffic management based on the compensation and scheduling information.

[0021] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0022] This application integrates a comprehensive ground transportation network with a multi-orbit satellite communication network to generate a satellite-ground fusion network. A connection is established between the traffic management system and this fusion network. Based on regional control requirements, the fusion network is partitioned to identify multi-objective partitioned networks. Distributed autonomous management of traffic control based on these multi-objective partitioned networks is then implemented, synchronously collecting continuous collaborative resources. A scheduling management model is then used to perform traffic control analysis based on real-world scenarios to determine traffic scheduling information. This scheduling management model includes flow scheduling and equipment control branches. The traffic scheduling information is then fed back to the traffic management system for distributed regional management. The feedback management information from the satellite-ground fusion network is used to determine whether it meets expected standards. If not, the deviation between the feedback management information and the expected standards is identified. Analysis using the scheduling management model determines compensatory scheduling information. Finally, the traffic management system executes traffic management based on the compensatory scheduling information. This effectively solves the technical problems of low efficiency and accuracy in existing traffic management technologies, achieving a significant improvement in both efficiency and accuracy. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A schematic diagram of the traffic control method based on satellite-ground cooperation provided in the embodiments of this application;

[0025] Figure 2 This is a schematic diagram of the structure of a traffic control system based on satellite-ground coordination, provided in an embodiment of this application.

[0026] Figure labeling: 1. Space-Ground Fusion Network Generation Module; 2. Multi-Target Partition Network Determination Module; 3. Continuous Collaborative Resource Acquisition Module; 4. Traffic Scheduling Information Determination Module; 5. Feedback Management Information Transmission Module; 6. Compensation Scheduling Information Determination Module; 7. Traffic Management Execution Module. Detailed Implementation

[0027] This application provides a traffic control method and system based on satellite-ground cooperation, which is used to address the technical problems of low efficiency and accuracy in traffic management in the prior art.

[0028] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0029] It should be noted that the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such process, method, product, or device.

[0030] Example 1

[0031] like Figure 1 As shown, this invention provides a traffic control method based on satellite-ground cooperation to improve the efficiency and accuracy of traffic management. The method includes:

[0032] The system reads the entire ground transportation network (GTN) using programming or data acquisition tools. The GTN refers to a network covering all ground transportation facilities within a specific area, including roads, traffic lights, traffic signs, intersections, and related information such as traffic flow and traffic incidents. It also obtains multi-orbit satellite communication networks from satellite communication service providers. These multi-orbit satellite communication networks consist of satellites in multiple orbits, providing global communication coverage. After acquiring the GTN and multi-orbit satellite communication networks, they are merged using technologies such as Geographic Information Systems (GIS) to generate a new network—the satellite-ground fusion network. Then, through the development of customized interfaces and protocols, the satellite-ground fusion network is integrated with a traffic management system. This traffic management system manages and controls the traffic network, including functions such as traffic lights, traffic monitoring, and event detection. After integration, the traffic management system can obtain relevant traffic and communication data from the satellite-ground fusion network to manage and control traffic, such as road conditions, traffic flow, and vehicle locations.

[0033] Clearly define territorial control requirements, i.e., define territorial control requirements at different levels, such as national, provincial, city, and regional requirements. These requirements originate from different administrative levels, transportation planning and management departments, or specific geographical and political boundaries. Based on these different levels of territorial control requirements, the aforementioned space-ground integrated network is partitioned and identified. First, the boundaries of each region are defined, including administrative boundaries, natural geographical boundaries, and virtual boundaries formed by transportation routes or hubs. Then, the central point or key node of each region is selected as the regional center, such as a transportation hub, city center, or other important geographical location. Next, a unique identifier (number, letter, combination, etc.) is assigned to each region using a Geographic Information System (GIS) or other data processing tools for management and identification. Through the above processing, the space-ground integrated network is divided into multiple different regional networks, resulting in a multi-objective partitioned network. The multi-objective partitioned network includes mutually independent networks and partially overlapping networks. Each regional network consists of its own central point and surrounding key nodes.

[0034] For each target zone network, corresponding traffic control strategies are formulated, including traffic light timing schemes, traffic flow guidance schemes, and accident handling schemes. Within each target zone network, the traffic management system makes distributed decisions and executes distributed autonomous management based on the formulated traffic control strategies. During distributed autonomous management, continuous collaborative resources are synchronously collected through sensors, cameras, and other devices. These continuous collaborative resources refer to a series of resources that need to be collected collaboratively during traffic management, including road conditions, traffic light status, vehicle locations, and pedestrian distribution. The synchronous collection of these resources is used to comprehensively understand the traffic situation.

[0035] By synchronously collecting and continuously coordinating resources, real-world scenario data, such as congestion and accident conditions, is obtained. This data is then combined with a scheduling management model to conduct traffic control analysis based on the actual scenario. The scheduling management model includes a flow scheduling branch and an equipment control branch. The flow scheduling branch is responsible for scheduling and optimizing traffic flow based on traffic demand and conditions; the equipment control branch is responsible for supporting and ensuring traffic operations through monitoring and management of traffic equipment. By assessing traffic conditions in the actual scenario, traffic scheduling information is determined, i.e., the specific road segments and times to be scheduled as needed. Corresponding flow scheduling plans and equipment control plans are then formulated. Flow scheduling plans include adjusting traffic light timings, disseminating road condition information, and guiding vehicle movement; equipment control plans include monitoring and managing traffic lights, cameras, sensors, and other equipment.

[0036] After completing the traffic dispatch analysis, the dispatch management model feeds back the obtained traffic dispatch information to the traffic management system through data interfaces, cloud platforms, and other means. The traffic management system adopts a distributed management approach to conduct distributed control and coordination of traffic operations within the region. For example, traffic dispatch information and related data are distributed to various subsystems or devices for processing and execution. After distributed management based on the traffic dispatch information, the system, combined with the space-ground fusion network, transmits the feedback management information back to the traffic management system, including the status of traffic equipment, the effectiveness of traffic operations, and traffic accident information, to provide reference and support for further traffic dispatch and management.

[0037] The system determines whether the feedback management information meets the expected standards, which refer to the level or standard expected to be achieved by the distributed management system, including key performance indicators such as traffic flow, vehicle speed, road safety, traffic smoothness, and service quality indicators. The returned feedback management information is compared with the expected standards to assess the gap between them. If the feedback management information fails to meet the expected standards, its deviation is calculated. Then, in conjunction with the scheduling management model, the deviation between the feedback management information and the expected standards is analyzed, including the evaluation of equipment performance, the prediction of traffic flow, and the analysis of other relevant factors. Based on the analysis results, the system determines the necessary compensatory scheduling information, including adjusting traffic light timing schemes, issuing additional road condition information, or other measures.

[0038] In conjunction with the aforementioned traffic management system, traffic management based on the compensation and scheduling information is implemented. This involves applying the determined compensation and scheduling information to the traffic management system to adjust and optimize traffic management strategies, bridging the gap between feedback management information and expected standards. For example, this includes controlling traffic lights, issuing corresponding road condition guidance information, monitoring and managing traffic equipment, and activating emergency response mechanisms based on the compensation and scheduling information. This achieves the technical effect of improving the efficiency and accuracy of traffic management.

[0039] In a preferred embodiment provided in this application, a satellite-ground fusion network is generated by reading the entire ground transportation network and combining it with a multi-orbit satellite communication network. The method includes:

[0040] The communication networks of satellites in various orbits are traversed. These satellite communication networks include those based on high-orbit, medium-orbit, and low-orbit satellites. Based on the characteristics and communication protocols of satellites in different orbits, their communication networks are traversed, and suitable high-orbit, medium-orbit, and low-orbit satellites are selected for joint networking (different types of satellites have different communication capabilities, signal transmission speeds, and coverage areas). After determining the networking satellites, communication links between satellites are established through satellite communication equipment (such as satellite phones, satellite data transmission equipment, etc.). Then, the topology of the satellite communication network is determined, such as star, mesh, or ring topology. After establishing communication links and determining the network topology, communication protocols are formulated, including data transmission rates, data formats, data encryption and decryption, etc., thereby achieving joint networking and constructing the satellite communication network.

[0041] By developing corresponding interfaces and protocols, the constructed satellite communication network is connected and integrated with the ground transportation network to generate the satellite-ground fusion network. This network is used to realize information exchange and data sharing between the satellite communication network and the ground transportation network. This preferred implementation achieves global coverage through the joint networking of high-orbit, medium-orbit, and low-orbit satellites, making information transmission no longer limited by geographical location and achieving a wide coverage effect.

[0042] In another preferred embodiment provided in this application, the satellite communication network is connected to the ground transportation network to generate the satellite-ground fusion network. The method includes:

[0043] The communication system of the ground transportation network is used to convert the satellite communication network to the same architecture. That is, according to the communication system of the ground transportation network, the satellite communication network is converted and adjusted accordingly so that the satellite communication network can adapt to the communication needs and standards of the ground transportation network. For example, the configuration of satellite communication equipment and the setting of signal transmission protocols are modified and adjusted. After the same architecture conversion, the converted satellite communication network is obtained.

[0044] An access interface is developed to connect and integrate the converted satellite communication network into the core communication network within the terrestrial transportation network, forming a target fusion network. This target fusion network is then decentralized, distributing the central nodes (e.g., servers, routers) to ensure each node has equal status and function. Data and information are no longer controlled by a central server but are jointly maintained by every node (including user terminals). User terminals can obtain real-time data such as road traffic conditions and vehicle location information. This process results in a user-centric satellite-terrestrial fusion network. This preferred implementation, by distributing the central nodes through decentralization, avoids the impact of single-point failures on the entire network, thus improving network reliability and stability.

[0045] In another preferred embodiment provided in this application, the satellite-ground fusion network is partitioned to determine a multi-target partitioned network. This method includes:

[0046] A multi-level partitioning standard is established based on the aforementioned regional control requirements. This multi-level partitioning standard is implemented layer by layer from top to bottom. First, based on the first-level partitioning standard, the satellite-ground fusion network is partitioned into several regions according to the partitioning standard established in the first step, resulting in the first partitioning result. For example, based on the administrative division of a country, the network is divided into different provinces or regions. Then, based on the second-level partitioning standard, the first partitioning result is further partitioned. Within each first-level partition, each region is further divided into smaller sub-regions according to a more refined partitioning standard, resulting in the second partitioning result. For example, a city is divided into several different regions, such as the city center, suburbs, and industrial areas. This partitioning continues until partitioning based on the Nth partitioning standard is completed. A relationship is established between different levels, hierarchically linking the first partitioning result, the second partitioning result, and so on up to the Nth partitioning result. Through this hierarchical association, the multi-objective partitioned network is generated. This preferred embodiment, by implementing multi-level partitioning identification in a layer-by-layer refined manner, can more accurately reflect the actual situation of the network, achieving the technical effect of improving the accuracy of the multi-objective partitioned network.

[0047] In another preferred embodiment provided in this application, distributed autonomous management of traffic control based on the multi-objective partition network is performed, the method comprising:

[0048] The process involves retrieving local traffic records within a predetermined time zone. This means collecting local traffic records within a pre-defined time range from relevant data sources (traffic monitoring systems, traffic police data platforms, third-party data providers, etc.). The collected traffic records are then preprocessed, such as through data cleaning and format conversion. Subsequently, data mining algorithms (such as time series analysis and cluster analysis) are used to conduct in-depth analysis of the collected traffic records, uncovering patterns and trends in the traffic data, and determining a fixed regulatory period. This fixed regulatory period is a standard time range for traffic management within a certain period. It is based on an average state exhibited by historical traffic data and serves as a prediction and reference for future traffic conditions. Furthermore, this fixed regulatory period is marked with a spatiotemporal identifier, clearly indicating the corresponding time and location.

[0049] Real-time traffic flow is monitored using various sensors and monitoring equipment. Data is collected through dedicated traffic monitoring systems or cloud platforms. After collecting real-time traffic flow data, traffic congestion is assessed using rule-based evaluation or machine learning model prediction. The assessment determines whether congestion has occurred, as well as the degree and extent of congestion. Then, corresponding temporary dispatch instructions are generated based on set congestion thresholds. For example, when the traffic flow on a main road reaches a set congestion threshold (e.g., 1000 vehicles / hour), a temporary dispatch instruction is triggered, requiring increased traffic police patrols and strict enforcement to reduce congestion caused by illegal driving. When the traffic flow continues to increase (e.g., 1500 vehicles / hour), the temporary dispatch instruction requires increased public transportation services or taxi dispatch to divert some travel demand. When the traffic flow reaches an extremely high level (e.g., 2000 vehicles / hour), the temporary dispatch instruction requires measures such as increasing parking spaces in public places to reduce congestion caused by parking problems. These temporary dispatch instructions also have spatiotemporal identifiers, clearly indicating the corresponding time, location, and dispatch content.

[0050] Finally, based on the fixed monitoring cycle and the temporary dispatch instructions, distributed autonomous management of traffic control is implemented. That is, within a predetermined time zone, traffic is routinely managed according to the fixed monitoring cycle, while traffic is temporarily adjusted according to temporary dispatch instructions when traffic congestion occurs. This preferred implementation method uses real-time monitoring and temporary dispatch instructions, which can respond more quickly to changes in traffic conditions and achieve the technical effect of improving response speed.

[0051] In another preferred embodiment provided in this application, the method of synchronously collecting continuous collaborative resources includes:

[0052] Spatiotemporal identifiers are identified. The spatiotemporal identifier for a fixed monitoring period includes time and location information, while the spatiotemporal identifier for a temporary dispatch instruction includes time, location, and dispatch information. By identifying the spatiotemporal identifiers, monitoring nodes based on the fixed monitoring period and the temporary dispatch instruction are determined. The monitoring nodes refer to locations or equipment that need to be monitored, including road intersections, accident-prone road sections, highway entrances and exits, public transportation stations, etc.

[0053] After identifying the monitoring nodes, the corresponding target partition network is determined based on the multi-target partition network by locating and associating the monitoring nodes. Then, data acquisition devices such as sensors and cameras within the target partition network are used to continuously collect data on collaborative resources, and the collected data is transmitted to the relevant management and scheduling system via communication. This preferred implementation method, by synchronously collecting data on continuous collaborative resources, can better allocate resources and achieve the technical effect of improving resource utilization.

[0054] In another preferred embodiment provided in this application, a traffic control analysis based on a real-world scenario is performed in conjunction with a scheduling management model. The method includes:

[0055] Identify the spatiotemporal identifiers to determine the target road segment to be subject to traffic control, including road segments with traffic congestion, road segments where traffic accidents have occurred, or road segments requiring special management, and determine the upstream and downstream road segments adjacent to the target road segment based on the target road segment. The upstream road segment refers to the road segment in front of the target road segment, and the downstream road segment refers to the road segment behind the target road segment.

[0056] Using the target road segment as the dispatch management segment and the upstream and downstream road segments as auxiliary coordination segments, traffic control analysis based on real-world scenarios is conducted using the dispatch management model. First, based on real-time monitored traffic data (e.g., traffic flow, speed, road conditions), the traffic conditions of the target road segment and auxiliary coordination segments are assessed. Based on the assessment results, the key points and difficulties of traffic control are determined. Then, based on the traffic condition assessment results and the dispatch management model, a corresponding dispatch plan is formulated, including appropriate dispatch measures for the target road segment and auxiliary coordination segments. After implementing traffic control, changes in traffic conditions are monitored in real time, and the dispatch plan is adjusted promptly based on the monitoring results to ensure the actual effectiveness of traffic control. This preferred implementation method improves overall traffic flow and efficiency through coordination and cooperation between the target road segment and auxiliary coordination segments, achieving the technical effect of improving traffic control effectiveness.

[0057] Example 2

[0058] Based on the same inventive concept as the satellite-ground cooperative traffic control method in the foregoing embodiments, such as Figure 2As shown, this application provides a traffic control system based on satellite-ground cooperation. The system and method embodiments in this application are based on the same inventive concept. The system includes:

[0059] The satellite-ground fusion network generation module 1 is used to read the ground traffic network of the entire region, combine it with the multi-orbit satellite communication network, generate a satellite-ground fusion network, and establish the association between the traffic management system and the satellite-ground fusion network.

[0060] Multi-target partitioned network determination module 2 is used to partition the satellite-ground fusion network based on regional control requirements and determine the multi-target partitioned network.

[0061] The continuous collaborative resource acquisition module 3 is used to perform distributed autonomous management of traffic control based on the multi-objective partition network and synchronously acquire continuous collaborative resources.

[0062] Traffic dispatch information determination module 4 is used to combine the dispatch management model to perform traffic control analysis based on the actual scenario and determine traffic dispatch information. The dispatch management model includes a flow dispatch branch and an equipment control branch.

[0063] Feedback management information feedback module 5 is used to feed back the traffic dispatch information to the traffic management system for regional distributed management, and to combine the space-ground fusion network to feed back the feedback management information.

[0064] The compensation scheduling information determination module 6 is used to determine whether the feedback management information meets the expected standard. If not, it identifies the deviation between the feedback management information and the expected standard, and analyzes the result in conjunction with the scheduling management model to determine the compensation scheduling information.

[0065] Traffic management execution module 7 is used in conjunction with the traffic management system to perform traffic management based on the compensation and scheduling information.

[0066] Furthermore, the satellite-to-ground fusion network generation module 1 is used to perform the following method:

[0067] The satellite communication network includes communication networks based on high-orbit satellites, medium-orbit satellites, and low-orbit satellites;

[0068] The communication networks of satellites in each orbit are traversed, and joint networking is performed to construct the satellite communication network.

[0069] The satellite communication network is connected to the ground transportation network to generate the satellite-ground integrated network.

[0070] Furthermore, the satellite-to-ground fusion network generation module 1 is used to perform the following method:

[0071] The communication system of the ground transportation network is interactive, and the satellite communication network is converted to the same architecture to determine the converted satellite communication network;

[0072] Based on the access interface, the conversion satellite communication network is connected to the communication core network within the terrestrial transportation network to determine the target fusion network;

[0073] The target fusion network is decentralized to determine a satellite-ground fusion network with the user terminal as the main body.

[0074] Furthermore, the multi-target partitioning network determination module 2 is used to perform the following method:

[0075] Establish multi-level division criteria based on the aforementioned regional control requirements;

[0076] Based on the primary classification criteria, the satellite-ground fusion network is partitioned to determine the first partition result;

[0077] Based on the two-level partitioning criteria, the first partitioning result is further partitioned to determine the second partitioning result;

[0078] The multi-objective partitioning network is generated by hierarchically associating the results of the first partitioning, the second partitioning, and so on up to the Nth partitioning.

[0079] Furthermore, the continuous collaborative resource acquisition module 3 is used to perform the following method:

[0080] The local traffic records within a predetermined time zone are retrieved to determine a fixed monitoring period, which is marked with a spatiotemporal identifier.

[0081] Monitor real-time traffic flow, conduct traffic congestion assessment, and generate temporary dispatch instructions that meet congestion thresholds, wherein the temporary dispatch instructions are marked with spatiotemporal identifiers;

[0082] Based on the fixed monitoring cycle and the temporary dispatch instructions, distributed autonomous management of traffic control is carried out.

[0083] Furthermore, the continuous collaborative resource acquisition module 3 is used to perform the following method:

[0084] Identify spatiotemporal identifiers to determine the monitoring nodes based on the fixed monitoring cycle and the temporary scheduling instructions;

[0085] Based on the monitoring node, the target partition network based on the multi-target partition network is located, and the continuous collaborative resources are collected and transmitted via communication.

[0086] Furthermore, the traffic dispatch information determination module 4 is used to perform the following method:

[0087] Identify the spatiotemporal identifiers to determine the target road segment, upstream road segment, and downstream road segment to be subject to traffic control;

[0088] Using the target road segment as the scheduling and management road segment, and the upstream and downstream road segments as auxiliary coordination road segments, traffic control analysis based on the actual scenario is conducted in conjunction with the scheduling and management model.

[0089] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0090] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0091] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A traffic control method based on satellite-ground coordination, characterized in that, The method includes: The entire ground transportation network is read, combined with a multi-orbit satellite communication network, and a satellite-ground integrated network is generated. The traffic management system is then linked to the satellite-ground integrated network. Based on the requirements of regional control, the space-ground fusion network is partitioned and identified to determine a multi-objective partitioned network; Implement distributed autonomous management of traffic control based on the multi-objective partition network, and synchronously collect continuous collaborative resources; By combining the scheduling management model, traffic control analysis based on actual scenarios is conducted to determine traffic scheduling information. The scheduling management model includes a traffic flow scheduling branch and an equipment control branch. The traffic scheduling information is fed back to the traffic management system for regional distributed management, and the management information is returned in conjunction with the space-ground fusion network. Determine whether the feedback management information meets the expected standard. If not, identify the deviation between the feedback management information and the expected standard, and analyze it in conjunction with the scheduling management model to determine compensation scheduling information. In conjunction with the traffic management system, traffic management based on the compensation and scheduling information is performed.

2. The method as described in claim 1, characterized in that, This method involves reading the entire ground transportation network, combining it with a multi-orbit satellite communication network, and fusing them to generate a space-ground integrated network. include: The satellite communication network includes communication networks based on high-orbit satellites, medium-orbit satellites, and low-orbit satellites; The communication networks of satellites in each orbit are traversed, and joint networking is performed to construct the satellite communication network. The satellite communication network is connected to the ground transportation network to generate the satellite-ground integrated network.

3. The method as described in claim 2, characterized in that, The method of connecting the satellite communication network to the ground transportation network to generate the satellite-ground integrated network includes: The communication system of the ground transportation network is interactive, and the satellite communication network is converted to the same architecture to determine the converted satellite communication network; Based on the access interface, the conversion satellite communication network is connected to the communication core network within the terrestrial transportation network to determine the target fusion network; The target fusion network is decentralized to determine a satellite-ground fusion network with the user terminal as the main body.

4. The method as described in claim 1, characterized in that, The method of partitioning and identifying the satellite-ground fusion network to determine a multi-target partitioned network includes: Establish multi-level division criteria based on the aforementioned regional control requirements; Based on the primary classification criteria, the satellite-ground fusion network is partitioned to determine the first partition result; Based on the two-level partitioning criteria, the first partitioning result is further partitioned to determine the second partitioning result; The multi-objective partitioning network is generated by hierarchically associating the results of the first partitioning, the second partitioning, and so on up to the Nth partitioning.

5. The method as described in claim 1, characterized in that, The method of implementing distributed autonomous management of traffic control based on the multi-objective partition network includes: The local traffic records within a predetermined time zone are retrieved to determine a fixed monitoring period, which is marked with a spatiotemporal identifier. Monitor real-time traffic flow, conduct traffic congestion assessment, and generate temporary dispatch instructions that meet congestion thresholds, wherein the temporary dispatch instructions are marked with spatiotemporal identifiers; Based on the fixed monitoring cycle and the temporary dispatch instructions, distributed autonomous management of traffic control is carried out.

6. The method as described in claim 5, characterized in that, The method for synchronously acquiring continuous collaborative resources includes: Identify spatiotemporal identifiers to determine the monitoring nodes based on the fixed monitoring cycle and the temporary scheduling instructions; Based on the monitoring node, the target partition network based on the multi-target partition network is located, and the continuous collaborative resources are collected and transmitted via communication.

7. The method as described in claim 6, characterized in that, This method combines a scheduling management model with real-world traffic control analysis, including: Identify the spatiotemporal identifiers to determine the target road segment, upstream road segment, and downstream road segment to be subject to traffic control; Using the target road segment as the scheduling and management road segment, and the upstream and downstream road segments as auxiliary coordination road segments, traffic control analysis based on the actual scenario is conducted in conjunction with the scheduling and management model.

8. A traffic control system based on satellite-ground coordination, characterized in that: The system includes: A satellite-ground fusion network generation module is used to read the entire ground traffic network, combine it with a multi-orbit satellite communication network, generate a satellite-ground fusion network, and establish the association between the traffic management system and the satellite-ground fusion network. A multi-target partitioned network determination module is used to partition the satellite-ground fusion network based on regional control requirements and determine the multi-target partitioned network. A continuous collaborative resource acquisition module is used to perform distributed autonomous management of traffic control based on the multi-objective partition network and synchronously acquire continuous collaborative resources. A traffic dispatch information determination module is used to combine a dispatch management model to perform traffic control analysis based on actual scenarios and determine traffic dispatch information. The dispatch management model includes a traffic flow dispatch branch and an equipment control branch. The feedback management information feedback module is used to feed back the traffic dispatch information to the traffic management system for regional distributed management, and to combine the space-ground fusion network to feed back the feedback management information. The compensation scheduling information determination module is used to determine whether the feedback management information meets the expected standard. If not, it identifies the deviation between the feedback management information and the expected standard, analyzes the result in conjunction with the scheduling management model, and determines the compensation scheduling information. The traffic management execution module is used in conjunction with the traffic management system to perform traffic management based on the compensation and scheduling information.

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