Traffic system operation intelligent supervision control platform

Abstract

The invention discloses a traffic system operation intelligent supervision control platform, which relates to the field of data supervision and comprises a road facility management module, a traffic data acquisition module, a traffic data analysis module, a traffic data supervision module, a traffic collaborative interaction module and a traffic data control module. The road facility management module obtains traffic road facility information and constructs a traffic management network; the traffic data acquisition module is used for acquiring traffic data information; the traffic data analysis module is used for acquiring the traffic operation state of each position; the traffic data supervision module analyzes and processes the traffic operation state and judges whether abnormity exists or not; the traffic collaborative interaction module is used for setting a corresponding collaborative interaction chain for a connection relationship corresponding to the connection nodes of the abnormal road section, and setting corresponding collaborative processing data through the collaborative interaction chain; the traffic data control module is used for controlling and adjusting the traffic system according to the cooperative processing data; the accuracy and the stability of the traffic system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic data supervision, and particularly to an intelligent supervision and control platform for the operation of a traffic system. Background Art

[0002] In the existing traffic system, the monitoring and management of vehicles and road facilities are important tasks. However, due to the high complexity of the traffic system itself and the large number of vehicles and road facilities, it is relatively difficult to conduct real-time and effective supervision and control over the entire traffic system. In addition, traditional traffic control systems mainly rely on manual intervention and manual control, which require a large amount of human, material and time costs and are easily affected by human errors. Therefore, it is necessary to develop an intelligent supervision and control platform that can automatically monitor and control the traffic system to conduct intelligent supervision and control over the operation of the traffic system.

[0003] After retrieval, the invention patent with the publication number CN113066200A discloses a transportation vehicle supervision system and supervision method based on big data and intelligent vehicle networking, including a data acquisition unit, an information processing unit, a service supervision unit and a safety management unit; the data acquisition unit is used to acquire data such as real-time operation parameters of vehicles, road information and environmental parameters; the information processing unit is used to summarize, analyze, process and transmit services for the input and output data information; the service supervision unit is used to provide various application services for each user and conduct supervision; the safety management unit is used to provide safety protection services for the vehicle operation process and communication information in the system. The design of the present invention can help vehicle owners navigate in real time, realize traffic control, and improve the efficiency of traffic operation; at the same time, it can improve the efficiency and quality of transportation services; in addition, it can provide effective safety guarantees for users and passengers who need to transport goods, and promote the high-quality development of the transportation industry.

[0004] Compared with the prior art, the invention patent with the publication number CN113066200A can provide guarantee for the operation process of vehicles through the vehicle network, reduce the probability of vehicle collision accidents, and can also help vehicle owners navigate in real time, thereby improving the efficiency of traffic operation.

[0005] However, in the actual use process of the above method, it can only analyze and process the environment where vehicles are located in a small range and make small-range adjustments, which to a certain extent affects the accuracy and stability in the process of traffic system supervision. Summary of the Invention

[0006] The purpose of the present invention is to solve the disadvantage of poor stability in the prior art, and to propose an intelligent supervision and control platform for the operation of a traffic system.

[0007] In order to achieve the above purpose, the present invention adopts the following technical solutions: An intelligent supervision and control platform for traffic system operation, including a road facility management module, a traffic data collection module, a traffic data analysis module, a traffic data supervision module, a traffic collaborative interaction module, and a traffic data control module; The road facility management module obtains corresponding traffic road facility information, sets section connection lines and section connection nodes according to the traffic road facility information, and constructs a corresponding traffic management network; The traffic data collection module is used to set corresponding data collection terminals according to the traffic management network, and obtain traffic data information of corresponding section connection nodes through the data collection terminals; The traffic data analysis module analyzes and processes the traffic data information, judges the traffic operation status at corresponding section connection nodes within the traffic management network, and performs visual management according to the traffic operation status, and sets a corresponding traffic operation network; The traffic data supervision module sets a data supervision cycle, analyzes and processes the traffic operation status at each position within the traffic operation network, judges whether there is an abnormality in the traffic operation status at the corresponding position, and marks the abnormal section connection nodes and section connection lines; The traffic collaborative interaction module is used to analyze the traffic operation status in turn within the connection relationships corresponding to the abnormal section connection nodes, set corresponding collaborative interaction chains according to each connection relationship, and set corresponding collaborative processing data through the collaborative index data of each link point within the collaborative interaction chain; The traffic data control module is used to control and adjust the traffic system according to the collaborative processing data, and give early warning treatment to abnormal situations.

[0008] The above technical solution further includes: The process of constructing a traffic management network includes: Set a facility management unit and a network management unit; Obtain corresponding traffic road facility information through the facility management unit, and the traffic road facility information includes road basic information, traffic sign and marking information, and traffic signal information; Analyze and process the obtained traffic road facility information through the network management unit, set a corresponding road network topology structure according to the road basic information and traffic signal information, obtain corresponding section connection lines and section connection nodes, mark the section connection lines and section connection nodes within the road network topology structure through the traffic sign and marking information, obtain the connection relationships between the section connection nodes and each section connection line respectively, mark the corresponding connection relationships, and construct a traffic management network in combination with the connection relationships between the section connection lines and section connection nodes.

[0009] Further, the process of obtaining traffic data information includes: Obtain a traffic management network, and analyze and process each road section connection node and road section connection line in the traffic management network based on the road topology structure and historical traffic flow data to obtain the topological importance data and traffic flow importance data of the corresponding road section connection nodes; preset importance limit data, and set corresponding data acquisition terminals according to the comparison results of the topological importance data and traffic flow importance data with the importance limit data. Obtain the traffic data information corresponding to the corresponding road section connection nodes and road section connection lines through the data acquisition terminals. The traffic data information includes lane occupancy rate, traffic flow, vehicle speed, and traffic light status data.

[0010] Further, the process of analyzing and processing the traffic data information to obtain the traffic operation status and setting up the traffic operation network includes: Obtain the historical traffic data information corresponding to different traffic light status data in different road section connection nodes and road section connection lines, conduct statistical analysis on the historical traffic data information, set the data statistical intervals corresponding to different traffic operation statuses under the corresponding traffic light status data. The traffic operation statuses include smooth status, mild congestion status, moderate congestion status, and severe congestion status. The data statistical intervals include the quantization values corresponding to the corresponding historical traffic data information. Quantize the traffic data information corresponding to each road section connection node and road section connection line in the traffic management network, map the quantization processing results to the corresponding data statistical intervals, and obtain the traffic operation status corresponding to the corresponding traffic operation status. Set four color systems of green, yellow, orange, and red to represent different types of traffic operation statuses respectively, and set the corresponding RGB values within the corresponding color systems in ascending order of the quantization values within the data statistical intervals corresponding to the corresponding traffic operation statuses. Conduct visualization processing according to the RGB values of the road section connection nodes and road section connection lines to generate the corresponding traffic operation network.

[0011] Further, the process of determining whether there is an abnormality in the traffic operation status includes: Set a data supervision period, use the traffic operation statuses corresponding to each road section connection node and road section connection line in the current traffic operation network as the end point of the corresponding data supervision period, obtain the traffic operation statuses corresponding to each road section connection node and road section connection line in each unit time during the previous data supervision period, and obtain the operation period data set corresponding to the corresponding road section connection node or road section connection line during the data supervision period. Statistically analyze the traffic operation status in the operation cycle dataset corresponding to the road section connection nodes or road section connection lines, obtain the proportion data of different traffic operation statuses in the operation cycle dataset, respectively set the proportion thresholds for the moderately congested status and the severely congested status. If the proportion data corresponding to the moderately congested status and the severely congested status of the traffic operation status is greater than or equal to the corresponding proportion threshold, then mark the corresponding road section connection node or road section connection line as abnormal, and mark the abnormal road section connection nodes and road section connection lines.

[0012] Further, the process of setting the corresponding collaborative interaction chain includes: Respectively obtain the importance data and the current RGB value corresponding to the road section connection nodes and road section connection lines marked as abnormal; set a priority processing queue according to the corresponding importance data and current RGB value, and sequentially analyze and process the traffic data information corresponding to the abnormal road section connection nodes and road section connection lines according to the priority processing queue; Divide and process the traffic light status data and the lane occupancy rate according to the corresponding connection relationship, and obtain the lane load rate and the road section load rate of the lane information corresponding to the corresponding connection relationship; Respectively set the corresponding collaborative interaction chains according to the connection relationships of the abnormal road section connection nodes and road section connection lines. The collaborative interaction chain includes a corresponding number of link points. Starting from the road section connection nodes and road section connection lines corresponding to the corresponding connection relationship, sequentially obtain the lane load rate or road section load rate corresponding to each connection relationship that is progressively connected in the traffic operation network and input it into the corresponding link points to obtain the collaborative interaction chain corresponding to the abnormal path connection nodes.

[0013] Further, the process of setting collaborative processing data includes: Analyze and process the lane load rate or road section load rate corresponding to each link point in each collaborative interaction chain corresponding to the marked abnormal road section connection nodes and road section connection lines in sequence, respectively obtain the corresponding collaborative required index data and collaborative index data, and allocate and process the obtained collaborative required index data according to the collaborative index data of each link point to obtain the corresponding collaborative processing data; Generate abnormal warning information for the abnormal road section connection nodes and road section connection lines that do not meet the allocation processing conditions.

[0014] Further, the process of controlling and adjusting the traffic system through collaborative processing data includes: Obtain the collaborative processing data corresponding to the link points of the collaborative processing data, and analyze and process the corresponding collaborative processing data; Adjust and process the traffic light status data of the road section connection nodes corresponding to the connection relationship of the link points according to the collaborative processing data; The obtained abnormal warning information is fed back to the relevant departments through the corresponding staff members.

[0015] The present invention has the following beneficial effects: 1. In the present invention, by analyzing and processing the traffic operation states corresponding to different road section connection nodes and road section connection lines, the RGB values corresponding to the corresponding road section connection nodes and road section connection lines are obtained according to different traffic operation states, and the traffic operation states of each road section connection node and road section connection line in the traffic management network are visualized through the RGB values. The corresponding traffic operation network is generated through the visualization processing result, making the analysis process of the road section connection nodes and road section connection lines that may have abnormalities in the traffic operation network clearer, thereby improving the data analysis efficiency.

[0016] 2. In the present invention, by setting up a traffic data supervision module to analyze and process each road section connection node and road section connection line in the traffic operation network within the data supervision period, and by analyzing and processing different types of traffic operation states in different unit times within the data supervision period, it is avoided that misjudgment occurs for the road section connection nodes and road section connection lines with abnormalities in the traffic system due to errors, thereby improving the accuracy to a certain extent in the supervision process of the traffic system.

[0017] 3. In the present invention, by setting corresponding connection relationships for different road section connection nodes and road section connection lines, setting corresponding collaborative interaction chains according to different connection relationships, setting a corresponding number of link points within the collaborative interaction chains, analyzing and processing each link point to obtain the corresponding collaborative index data, and processing the collaborative index data that needs to be allocated and processed within the road section connection nodes or road section connection lines with abnormalities through the collaborative index data, thereby improving the range of processing traffic system abnormal buffering and ensuring the stability of the traffic system to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic structural diagram of an intelligent supervision and control platform for traffic system operation proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0020] Embodiment 1 As Figure 1As shown in the figure, an intelligent supervision and control platform for traffic system operation proposed by the present invention includes a road facility management module, a traffic data collection module, a traffic data analysis module, a traffic data supervision module, a traffic collaborative interaction module, and a traffic data control module; In this embodiment, the intelligent supervision and control platform for traffic system operation is used to intelligently supervise and control the traffic system in the corresponding area, so as to improve the stability of the traffic system and the road traffic quality. The specific implementation process includes: The road facility management module obtains the corresponding traffic road facility information, sets the section connection lines and section connection nodes according to the traffic road facility information, and constructs the corresponding traffic management network; The traffic data collection module is used to set the corresponding data collection terminals according to the traffic management network, and obtain the traffic data information of the corresponding section connection nodes through the data collection terminals; The traffic data analysis module analyzes and processes the traffic data information, judges the traffic operation status at the corresponding section connection nodes in the traffic management network, and performs visual management according to the traffic operation status, and sets the corresponding traffic operation network; The traffic data supervision module sets the data supervision cycle, analyzes and processes the traffic operation status at each position in the traffic operation network, judges whether there is an abnormality in the traffic operation status at the corresponding position, and marks the abnormal section connection nodes and section connection lines; The traffic collaborative interaction module is used to analyze the traffic operation status in the connection relationships corresponding to the abnormal section connection nodes in turn, set the corresponding collaborative interaction chains according to each connection relationship, and set the corresponding collaborative processing data through the collaborative index data of each link point in the collaborative interaction chain; The traffic data control module is used to control and adjust the traffic system according to the collaborative processing data, and give early warning processing for abnormal situations.

[0021] The road facility management module obtains the corresponding traffic road facility information, sets the section connection lines and section connection nodes according to the traffic road facility information, and constructs the corresponding traffic management network. The specific implementation process includes: There are a facility management unit and a network management unit in the road facility management module; The corresponding traffic road facility information is obtained through the facility management unit. The traffic road facility information includes the corresponding road basic information, traffic signs and markings information, traffic signal lamp information, road accessory facilities information, etc. Among them: The road basic information is the corresponding road type, road geometric parameters and lane division. The road geometric parameters include road width, length, slope, curve radius and superelevation value, etc.; The traffic signal information includes signal types, signal timing parameter information, signal status parameter information, etc.; The information of road affiliated facilities includes the facility information around the road, including guardrails, green belts, street lights, tunnels, bridges, and monitoring and sensing facility information, etc.; Verify and analyze the obtained traffic road facility information, and send the traffic road facility information that passes the verification to the network management unit; Obtain the input traffic road facility information through the network management unit, and set up a traffic management network according to the traffic road facility information, where: Perform marking processing on the obtained traffic road facility information, obtain the marking names corresponding to the corresponding traffic road facility information, and set up the corresponding traffic management network according to the marking names; Set up a three-dimensional space structure, map the road basic information and traffic signal information into the three-dimensional space structure, obtain the corresponding road network topology structure, and obtain the corresponding road section connection lines and road section connection nodes; Map the traffic sign and marking information into the corresponding road network topology structure, obtain the connection relationships corresponding to the corresponding road section connection lines and road section connection nodes in the road network topology structure. The connection relationships include straight ahead to straight ahead, straight ahead to left turn, straight ahead to right turn, etc. Traverse each intersection with the corresponding connection relationship in the road network topology structure, obtain multiple connection relationships, and perform marking processing on each connection relationship; Set the road section connection nodes for the multiple connection relationships corresponding to the same intersection mark. The road section connection nodes include the connection relationships between each road section; According to the position information of the road section connection nodes belonging to the road network topology structure, obtain the corresponding connection relationships, obtain the road section connection lines between two road section connection nodes according to the connection relationships, and mark and store the road section connection lines; Construct a traffic management network corresponding to the marking names of the traffic road facility information according to the distribution of each road section connection line and road section connection node, and mark and store the traffic management network.

[0022] The traffic data collection module is used to set corresponding data collection terminals according to the traffic management network, and obtain the traffic data information of the corresponding road section connection nodes through the data collection terminals. The specific implementation process includes: Obtain the corresponding road section connection lines and road section connection nodes in the traffic management network, analyze and process the positions of the road section connection lines and road section connection nodes in the traffic management network, and set data collection terminals according to the processing results; Obtain the location information of the road section connection nodes and the road section connection lines in the traffic management network, analyze and process the importance degree of the road section connection nodes and the road section connection lines based on the road topology structure, mark each road section connection node and road section connection line as i, and sequentially obtain the degree centrality data, betweenness centrality data, and closeness centrality data corresponding to the road section connection nodes and road section connection lines, and mark them as , and respectively, where: , n is the total number of nodes in the network. If node i and node j are directly connected, then , otherwise, it is 0; ; is the number of shortest paths from node s to node t, represents the number of shortest paths from node s to node j passing through node i; , represents the shortest distance from node i to node j; Analyze and process according to the degree centrality data, betweenness centrality data, and closeness centrality data corresponding to the corresponding road section connection nodes and road section connection lines. Set corresponding weight coefficients for the degree centrality data, betweenness centrality data, and closeness centrality data respectively, and perform integration processing on the degree centrality data, betweenness centrality data, and closeness centrality data according to the weight coefficients to obtain the topological importance data corresponding to the corresponding road section connection nodes and road section connection lines; Obtain the historical traffic flow data corresponding to the corresponding road section connection nodes and road section connection lines, analyze and process the historical traffic flow data, obtain the corresponding average flow level interval, and set the corresponding flow importance data according to the average flow level interval to which the historical traffic flow data belongs; Analyze and process the corresponding road section connection nodes and road section connection lines according to the topological importance data and the flow importance data respectively; Preset the corresponding importance limit data respectively, compare and analyze the topological importance data and the flow importance data with the importance limit data respectively. If there is topological importance data or flow importance data greater than or equal to the importance limit data, then set the corresponding data acquisition terminal in the road section connection node and the road section connection line, and mark and store the topological importance data and the flow importance data with the corresponding road section connection nodes and road section connection lines; Obtain the travel traffic data corresponding to each connection relationship in the corresponding road section connection node and the road section connection line through the data acquisition terminal. The traffic data information includes lane occupancy rate, vehicle speed, traffic flow, and traffic light status data; The traffic data information collected by the corresponding road section connection nodes and road section connection lines in the traffic management network are sent to the traffic data analysis module.

[0023] The traffic data analysis module analyzes and processes the traffic data information, determines the traffic operation status at the corresponding road section connection node in the traffic management network, and performs visual management according to the traffic operation status, and sets the corresponding traffic operation network. The specific implementation process includes: According to different historical traffic data information, statistical analysis is performed under the corresponding traffic light status data, and the corresponding data statistical interval is set according to the traffic light status data, and the data statistical interval is marked for analysis; Obtain traffic data information corresponding to each road section connection node and road section connection line; Classify and process traffic data information to obtain the corresponding traffic flow data, vehicle speed, vehicle stay time and lane occupancy rate in the traffic data information; Statistical analysis of lane occupancy, traffic volume, vehicle speed and vehicle dwell time is performed based on the corresponding traffic light status data within the road segment connection nodes and road segment connection sections; According to the corresponding traffic light status data, the data statistical intervals corresponding to the traffic data information corresponding to each connection relationship are set, and the data statistical intervals include data statistical intervals corresponding to the unblocked state, the lightly congested state, the moderately congested state, and the severely congested state; Obtain the traffic operation status corresponding to each road section connection node and road section connection line according to the data statistical interval corresponding to each traffic data information; The road connection nodes and road connection lines to which the corresponding traffic operation status belongs are visualized, and four color systems of green, yellow, orange and red are set to represent the four types of traffic operation status, namely, the unblocked state, the lightly congested state, the moderately congested state and the heavily congested state. In addition, the corresponding RGB values are set for different color systems in order from small to large according to the traffic data information in the data statistical interval, and the position of the corresponding traffic data information in the data statistical interval is represented by the color systems corresponding to the RGB values from light to dark; The RGB values corresponding to the connection nodes and connection lines of different road sections are obtained, and a visualization is performed based on the obtained RGB values to obtain the corresponding traffic operation network.

[0024] The traffic data supervision module sets a data supervision cycle, analyzes and processes the traffic operation status at various locations in the traffic operation network, determines whether the traffic operation status at the corresponding location is abnormal, and marks abnormal road section connection nodes and road section connection lines. The specific implementation process includes: Obtain the traffic operation status corresponding to each section connection line and section connection node in the traffic operation network; Set the data supervision period. Taking the traffic operation status corresponding to each section connection node and section connection line in the current traffic operation network as the end point of the corresponding data supervision period, obtain the traffic operation status corresponding to each section connection node and section connection line in each unit time during the previous data supervision period, and obtain the operation cycle dataset corresponding to the corresponding section connection node or section connection line during the data supervision period; Statistically analyze the traffic operation status in the operation cycle dataset corresponding to the section connection node or section connection line, obtain the proportion data of different traffic operation statuses in the operation cycle dataset, and mark the corresponding proportion data; Set the proportion thresholds for the moderately congested state and the severely congested state respectively. If the proportion data corresponding to the moderately congested state and the severely congested state of the traffic operation status is greater than or equal to the corresponding proportion threshold, then mark the corresponding section connection node or section connection line as abnormal; If the proportion data corresponding to the moderately congested state and the severely congested state of the traffic operation status is less than the corresponding proportion threshold, then mark the corresponding section connection node or section connection line as normal; Mark the analysis results of the section connection node or section connection line after analysis and processing in the traffic operation network, and send the marking results to the traffic collaboration and interaction module; It should be further noted that in the specific implementation process, the data supervision period is set according to the importance level corresponding to the section connection node and the section connection line. If the importance level corresponding to the section connection node and the section connection line is high, the unit time of the corresponding data supervision period is short.

[0025] The traffic collaboration and interaction module is used to sequentially analyze the traffic operation status within the connection relationship corresponding to the abnormal section connection node, set the corresponding collaboration interaction chain according to each connection relationship, and set the corresponding collaboration processing data through the collaboration index data of each link point in the collaboration interaction chain. The specific implementation process includes: Obtain the traffic operation network after marking processing, and perform interactive management on the corresponding marking results in the traffic operation network; Obtain the section connection nodes and section connection lines in the traffic operation network with marking results as abnormal, and obtain the importance level and the current RGB value corresponding to the section connection nodes and section connection lines; Set corresponding priority weight factors according to the corresponding importance data and current RGB values, and set corresponding processing priority data according to the corresponding importance levels, current RGB values, and corresponding priority weight factors; Set a priority processing queue according to the processing priority data of the road section connection nodes and road section connection lines, and the priority processing queue includes corresponding road section connection nodes and road section connection lines; Perform interactive processing on each road section connection node and road section connection line in turn through the priority processing queue, where a corresponding number of interactive processing channels are set, and analyze and process the road section connection nodes and road section connection lines in the priority processing queue through the interactive processing channels; Obtain the corresponding connection relationships within the road section connection nodes, and perform interactive processing on the road section connection lines and road section connection nodes with abnormalities according to the corresponding connection relationships; The interactive processing channel is used to analyze and process the traffic data information corresponding to the corresponding connection relationships within the road section connection nodes; Obtain the traffic light status data and corresponding lane information corresponding to the corresponding connection relationships. The traffic light status data includes a passing state and a non-passing state. Divide the time corresponding to the passing state to obtain a starting time, a normal passing time, and a passing critical time; divide the time corresponding to the non-passing state to obtain a non-passing critical time, a normal non-passing time, and a starting critical time; Respectively obtain the lane occupancy rates of the lane information corresponding to the passing critical time corresponding to the passing state and the starting critical time corresponding to the non-passing state corresponding to the corresponding connection relationships, and mark them respectively as and FL; judge the lane load rate corresponding to the corresponding connection relationship according to the obtained station occupancy rate, and mark the lane load rate as where, m is the mark corresponding to the connection relationship; Mark and store the obtained lane load rate; Obtain the corresponding road section load rate for the vehicle traffic data corresponding to the road section connection lines corresponding to each connection relationship; Obtain in turn the lane load rates corresponding to each connection relationship within the road section connection nodes marked as abnormal, and the road section load rates of the road section connection nodes and road section connection lines interconnected with each connection relationship; Set a collaborative interaction chain for the corresponding connection relationships within the abnormal road section connection nodes. The collaborative interaction chain includes a fixed number of link points μ, where, p is the number of link points, and set corresponding link weight factors at the positions corresponding to each link point , taking the corresponding connection relationship as the starting point of each collaborative interaction chain, sequentially obtaining the lane load rate and section load rate corresponding to the connection relationship of the section connection nodes progressively connected to the starting point in the traffic operation network; Analyze and process the starting point of the collaborative interaction chain corresponding to each connection relationship in the section connection node and other lane load rates and section load rates in the collaborative interaction chain respectively; Obtain the collaborative interaction data corresponding to each collaborative interaction chain of the corresponding section connection node, and mark it as , where , where is the label of the connection node corresponding to the connection relationship existing in other section connection nodes; Send the obtained collaborative interaction data to the collaborative analysis unit; The collaborative analysis unit is used to obtain the collaborative interaction data corresponding to each connection relationship in the abnormal section connection node, and perform analysis and processing according to the obtained collaborative interaction data. Its specific implementation process includes: Analyze and process the collaborative interaction data corresponding to each connection relationship in the section connection node with anomalies, obtain the collaborative index data corresponding to the collaborative interaction data, and sort the obtained collaborative index data; Preset the collaborative index limit value, and perform analysis and processing on the collaborative index data corresponding to the comprehensive sorting with the collaborative index limit value in turn to obtain the collaborative index data that meets the collaborative index limit value; Sequentially obtain the collaborative index data that meets the collaborative index limit value; Obtain the collaborative index data required for the abnormal section connection node, and sequentially allocate the required collaborative index data to the collaborative index data corresponding to the corresponding comprehensive sorting result to generate corresponding collaborative processing data; If the required collaborative index data is greater than the sum of the collaborative index data that meets the collaborative index limit value, generate collaborative anomaly data; Send the obtained collaborative processing data and collaborative anomaly data to the traffic data control module.

[0026] The traffic data control module is used to control and adjust the traffic system according to the collaborative processing data and give early warning treatment to abnormal situations. Its specific implementation process includes: Obtain the collaborative processing data and collaborative anomaly data sent by the traffic collaborative interaction module; Allocate the obtained collaborative processing data to the corresponding link points in the corresponding collaborative interaction chain according to the corresponding collaborative index data, and perform control processing on the collaborative index data by adjusting the traffic light status data; Feed back the obtained collaborative exception data for analysis and processing by the corresponding staff until there are no exceptions in the abnormal road section connection nodes and road section connection lines.

[0027] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent supervision and control platform for traffic system operation, characterized in that It includes a road facility management module, a traffic data collection module, a traffic data analysis module, a traffic data supervision module, a traffic collaborative interaction module, and a traffic data control module; The road facility management module obtains corresponding traffic road facility information, sets section connection lines and section connection nodes according to the traffic road facility information, and constructs a corresponding traffic management network; The traffic data collection module is used to set corresponding data collection terminals according to the traffic management network, and obtain traffic data information of corresponding section connection nodes through the data collection terminals; The traffic data analysis module analyzes and processes the traffic data information, judges the traffic operation status at corresponding section connection nodes within the traffic management network, and performs visual management according to the traffic operation status, and sets a corresponding traffic operation network; The traffic data supervision module is used to set a data supervision period, analyze and process the traffic operation status at each position within the traffic operation network, judge whether there is an abnormality in the traffic operation status at the corresponding position, and mark the abnormal section connection nodes and section connection lines; The traffic collaborative interaction module is used to analyze the traffic operation status in the connection relationships corresponding to the abnormal section connection nodes in sequence, set corresponding collaborative interaction chains according to each connection relationship, and set corresponding collaborative processing data through the collaborative index data of each link point in the collaborative interaction chain; The traffic data control module is used to control and adjust the traffic system according to the collaborative processing data, and give early warning processing for abnormal situations.

2. An intelligent supervision and control platform for the operation of a transportation system according to claim 1, characterized in that, The process of constructing a traffic management network includes: Setting up a facility management unit and a network management unit; Obtaining corresponding traffic road facility information through the facility management unit, where the traffic road facility information includes road basic information, traffic sign and marking information, and traffic signal information; Analyzing and processing the obtained traffic road facility information through the network management unit, setting a corresponding road network topology structure according to the road basic information and traffic signal information, obtaining corresponding section connection lines and section connection nodes, marking the section connection lines and section connection nodes in the road network topology structure through the traffic sign and marking information, obtaining the connection relationships between the section connection nodes and each section connection line respectively, marking the corresponding connection relationships, and constructing a traffic management network in combination with the connection relationships between the section connection lines and section connection nodes.

3. An intelligent supervision and control platform for the operation of a transportation system according to claim 2, characterized in that, The process of obtaining traffic data information includes: Obtaining a traffic management network, analyzing and processing each section connection node and section connection line within the traffic management network based on the road topology structure and historical traffic flow data respectively, obtaining the topological importance data and flow importance data of the corresponding section connection nodes; presetting importance limit data, and setting corresponding data collection terminals according to the comparison results of the topological importance data and flow importance data with the importance limit data respectively; Obtaining traffic data information corresponding to the corresponding section connection nodes and section connection lines through the data collection terminals, where the traffic data information includes lane occupancy, traffic flow, vehicle speed, and traffic light status data.

4. An intelligent supervision and control platform for traffic system operation according to claim 3, characterized in that, The process of analyzing and processing traffic data information to obtain the traffic operation status and set the traffic operation network includes: Obtain the historical traffic data information corresponding to different traffic light status data within the connection nodes of different road segments and the road segment connection lines, statistically analyze the historical traffic data information, set the data statistical intervals corresponding to different traffic operation statuses under the corresponding traffic light status data. The traffic operation statuses include unobstructed status, mild congestion status, moderate congestion status, and severe congestion status. The data statistical intervals include the quantization values corresponding to the corresponding historical traffic data information; Quantize the traffic data information corresponding to each road segment connection node and road segment connection line within the traffic management network, map the quantization processing results to the corresponding data statistical intervals, and obtain the traffic operation status corresponding to the corresponding traffic operation status; Set four color systems to represent different types of traffic operation statuses respectively, and set the corresponding RGB values within the corresponding color systems in ascending order of the quantization values within the data statistical intervals corresponding to the corresponding traffic operation statuses; Perform visualization processing based on the RGB values of the road segment connection nodes and road segment connection lines to generate the corresponding traffic operation network.

5. An intelligent supervision and control platform for the operation of a transportation system according to claim 4, characterized in that The process of determining whether there are abnormalities in the traffic operation status includes: Set the data supervision period. Take the traffic operation status corresponding to each road segment connection node and road segment connection line within the current traffic operation network as the end point of the corresponding data supervision period. Obtain the traffic operation status corresponding to each road segment connection node and road segment connection line within each unit time during the previous data supervision period, and obtain the operation cycle data set corresponding to the corresponding road segment connection node or road segment connection line within the data supervision period; Statistically analyze the traffic operation status within the operation cycle data set corresponding to the road segment connection node or road segment connection line, obtain the proportion data of different traffic operation statuses within the operation cycle data set, and set the proportion thresholds for the moderate congestion status and the severe congestion status respectively. If the proportion data corresponding to the moderate congestion status and the severe congestion status of the traffic operation status is greater than or equal to the corresponding proportion thresholds, then mark the corresponding road segment connection node or road segment connection line as abnormal, and mark the abnormal road segment connection nodes and road segment connection lines.

6. The intelligent supervision and control platform for the operation of a transportation system according to claim 5, characterized in that, The process of setting the corresponding collaborative interaction chain includes: Respectively obtain the importance data and the current RGB values corresponding to the road segment connection nodes and road segment connection lines marked as abnormal; set a priority processing queue according to the corresponding importance data and current RGB values, and sequentially analyze and process the traffic data information corresponding to the abnormal road segment connection nodes and road segment connection lines according to the priority processing queue; Divide and process the traffic light status data and the lane occupancy rate according to the corresponding connection relationships to obtain the lane load rate and the road segment load rate of the lane information corresponding to the corresponding connection relationships; Set corresponding collaborative interaction chains according to the connection relationships between the abnormal section connection nodes and the section connection lines. Each collaborative interaction chain includes a corresponding number of link points. Starting from the section connection nodes and section connection lines corresponding to the corresponding connection relationships, successively obtain the lane load rates or section load rates corresponding to each successively connected connection relationship in the traffic operation network and input them into the corresponding link points, and obtain the collaborative interaction chain corresponding to the abnormal path connection nodes.

7. An intelligent supervision and control platform for traffic system operation according to claim 6, characterized in that, The process of setting collaborative processing data includes: Analyze and process the lane load rates or section load rates corresponding to each link point in each collaborative interaction chain corresponding to the marked abnormal section connection nodes and section connection lines successively, respectively obtain the corresponding collaborative required index data and collaborative index data, and perform distribution processing on the obtained collaborative required index data according to the collaborative index data of each link point to obtain the corresponding collaborative processing data; Generate abnormal warning information for the abnormal section connection nodes and section connection lines that do not meet the distribution processing conditions.

8. An intelligent supervision and control platform for traffic system operation according to claim 7, characterized in that, The process of controlling and adjusting the traffic system through collaborative processing data includes: Obtain the collaborative processing data corresponding to the link points of the collaborative processing data, and analyze and process the corresponding collaborative processing data; Adjust the traffic light status data of the section connection nodes corresponding to the connection relationships of the link points according to the collaborative processing data; Feed back the obtained abnormal warning information to the relevant departments through the corresponding staff.

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