Traffic capacity expansion management and control system and management and control method

Abstract

The invention discloses a traffic capacity expansion management and control system and management and control method, in the management and control system, a total factor perception module is used for obtaining total factor road condition monitoring data of a road section area needing capacity expansion management and control; the traffic situation studying and judging module is used for analyzing and predicting the traffic flow of each road section according to the total-factor road condition monitoring data, monitoring or linking a third party to monitor the type and grade of an emergency event in real time, and displaying a preset lane corresponding to a high-flow and high-risk event on a map; the lane-level traffic flow management and control module is used for opening or closing a management lane according to the road congestion degree of the lane and the emergency event level; and the management and control information issuing module is used for issuing dynamic induction management and control information to the intelligent equipment in the gridding three-level traffic management and control road network. According to the technical scheme, the road land acquisition area under the same traffic capacity is reduced, the driving environment and the passing efficiency are obviously improved, and the comprehensive development of an intelligent traffic system is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic control, and in particular to a traffic capacity expansion control system and a traffic capacity expansion control method. Background Art

[0002] With the acceleration of urbanization and the surge in the number of motor vehicles, problems such as traffic congestion and traffic accidents are becoming increasingly serious, posing huge challenges to urban traffic management.

[0003] However, under the existing infrastructure conditions, the cost of physical expansion is high and the benefits are low. How to accommodate a larger traffic flow and improve travel efficiency under the existing standard width of the roadbed has important theoretical value and practical significance. Summary of the invention

[0004] In response to the above problems, the present invention provides a traffic expansion control system and a control method. Based on traffic situation analysis and prediction and an event discovery system based on full-factor perception, the system combines traffic organization with information technology to achieve traffic expansion control operations such as lane signal control, variable speed limit control, hub interchange ramp control, hard shoulder dynamic control, traffic induction, drone monitoring and control, etc., and constructs an active traffic flow control system for highways with holographic perception, big data analysis, and intelligent control as the core, reduces the road land acquisition area under the same traffic capacity, and significantly improves the driving environment and traffic efficiency through information-based traffic control technology under the current traffic capacity, thereby promoting the comprehensive development of the smart transportation system.

[0005] To achieve the above-mentioned purpose, the present invention provides a traffic expansion control system, including: a full-factor perception module, a traffic situation analysis module, a lane-level traffic flow control module, and a control information release module;

[0006] The full-factor perception module is used to obtain full-factor road condition monitoring data of the road section area that needs to be expanded and controlled;

[0007] The traffic situation analysis module is used to analyze and predict the traffic flow of each road section based on the full-factor road condition monitoring data, monitor the type and level of emergency events in real time or link with a third party to monitor, and display the lanes corresponding to preset high-flow and high-risk events on the map;

[0008] The lane-level traffic flow control module is used to open or close the management lane according to the road congestion level and emergency event level of the lane;

[0009] The control information release module is used to release dynamic induction control information to smart devices within the grid-based three-level traffic control road network.

[0010] In the above technical solution, preferably, the all-factor road condition monitoring data includes data collected by equipment, data collected by a third party, and data collected by the operator.

[0011] The data collected by the device includes camera data collected by monitoring cameras, radar data collected by millimeter-wave radars, sensor data collected by sensors, ETC data collected by ETC devices, and drone inspection data collected by drones;

[0012] The third-party collected data includes data related to the current road section area collected by the weather forecast platform, government management platform, traffic management platform and other map manufacturer platforms;

[0013] The data collected by the operator includes data related to the current road section area collected by the daily inspection team of the road operation team, the high-traffic road section inspection team and the maintenance and construction plan.

[0014] In the above technical solution, preferably, the traffic situation analysis module is specifically used for:

[0015] According to the analysis and prediction results of the traffic flow of each road section, the lane section with traffic flow exceeding the preset amount is determined as a high-flow lane;

[0016] According to the types and levels of the monitored emergency events, emergency events with emergency levels exceeding the preset level will be determined as high-risk events;

[0017] The high-traffic lanes and the locations and lanes of the high-risk events are displayed on the high-precision map in the form of preset colors and interactive icons.

[0018] In the above technical solution, preferably, the lane-level traffic flow control module is specifically used to:

[0019] For the management lanes in the area of ​​the road section that needs to be expanded and controlled, if the lanes are in a normal state, the management lanes are closed;

[0020] When the road is congested within the preset range of the lane, the management lane in the preset area is opened, and when the congestion is relieved, the management lane in the preset area is closed;

[0021] When a minor traffic accident occurs on a lane, the management lane in the adjacent area will be temporarily opened, and the management lane will be closed after the vehicle involved leaves;

[0022] When a high-risk event occurs on a lane, the high-risk lane and management lane will be closed to coordinate emergency rescue resources to quickly reach the risk location.

[0023] In the above technical solution, preferably, for the grid-based three-level traffic control division within the road network, at least one set of gantry information board and variable lane indicator is respectively provided in the first-level and second-level control units, and a small variable lane indicator is provided in the third-level control unit;

[0024] The control information release module is specifically used for:

[0025] When a minor traffic accident or high-risk incident occurs on a lane, dynamic induction control information will be issued within a preset distance upstream of the incident according to the grid-based three-level traffic control unit, and control measures will be released simultaneously through Internet information.

[0026] The present invention further proposes a traffic expansion control method, which is applied to a traffic expansion control system disclosed in any one of the above technical solutions, comprising:

[0027] Obtain all-factor road condition monitoring data for the road section that needs to be expanded and controlled;

[0028] Based on the all-factor road condition monitoring data, traffic flow of each road section is analyzed and predicted, the types and levels of emergency events are monitored in real time or in conjunction with a third party for monitoring, and lanes corresponding to preset high-flow and high-risk events are displayed on the map;

[0029] Open or close management lanes according to the road congestion level and emergency incident level of the lanes;

[0030] Release dynamic guidance and control information to smart devices within the grid-based three-level traffic control network.

[0031] In the above technical solution, preferably, the process of obtaining the full-factor road condition monitoring data of the road section area to be expanded and controlled includes:

[0032] Obtain all-factor road condition monitoring data for the road sections that need to be expanded and controlled;

[0033] The full-factor road condition monitoring data includes data collected by equipment, data collected by a third party, and data collected by the operator.

[0034] The data collected by the device includes camera data collected by surveillance cameras, radar data collected by millimeter-wave radars, sensor data collected by sensors, ETC data collected by ETC devices, and drone inspection data collected by drones;

[0035] The third-party collected data includes data related to the current road section area collected by the weather forecast platform, government management platform, traffic management platform and other map manufacturer platforms;

[0036] The data collected by the operator includes data related to the current road section area collected by the daily inspection team of the road operation team, the high-traffic road section inspection team and the maintenance and construction plan.

[0037] In the above technical solution, preferably, the traffic flow of each road section is analyzed and predicted according to the full-factor road condition monitoring data, the type and level of emergency events are monitored in real time or linked with a third party to monitor, and the lanes corresponding to preset high-flow and high-risk events are displayed on the map. The specific process includes:

[0038] According to the analysis and prediction results of the traffic flow of each road section, the lane section with traffic flow exceeding the preset amount is determined as a high-flow lane;

[0039] According to the types and levels of the monitored emergency events, emergency events with emergency levels exceeding the preset level will be determined as high-risk events;

[0040] The high-traffic lanes and the locations and lanes of the high-risk events are displayed on the high-precision map in the form of preset colors and interactive icons.

[0041] In the above technical solution, preferably, the process of opening or closing the management lane according to the road congestion level and emergency event level of the lane includes:

[0042] For the management lanes in the area of ​​the road section that needs to be expanded and controlled, if the lanes are in a normal state, the management lanes are closed;

[0043] When the road is congested within the preset range of the lane, the management lane in the preset area is opened, and when the congestion is relieved, the management lane in the preset area is closed;

[0044] When a minor traffic accident occurs on a lane, the management lane in the adjacent area will be temporarily opened, and the management lane will be closed after the vehicle involved leaves;

[0045] When a high-risk event occurs on a lane, the high-risk lane and management lane will be closed to coordinate emergency rescue resources to quickly reach the risk location.

[0046] In the above technical solution, preferably, the process of publishing dynamic induction control information to smart devices in the grid-based three-level traffic control network includes:

[0047] According to the grid-based three-level traffic control division within the road network, at least one gantry information board and variable lane indicator are set in the first and second level control units respectively, and a small variable lane indicator is set in the third level control unit;

[0048] When a minor traffic accident or high-risk incident occurs on a lane, dynamic induction control information will be issued within a preset distance upstream of the incident according to the grid-based three-level traffic control unit, and control measures will be released simultaneously through Internet information.

[0049] Compared with the prior art, the beneficial effects of the present invention are as follows: on the basis of traffic situation analysis and prediction and an event discovery system based on full-factor perception, by combining traffic organization with information technology, traffic expansion and control operations such as lane signal control, variable speed limit control, hub interchange ramp control, hard shoulder dynamic control, traffic induction, drone monitoring and control are realized, and an active traffic flow control system for highways with holographic perception, big data analysis, and intelligent control as the core is constructed, which reduces the road land acquisition area under the same traffic capacity, and significantly improves the driving environment and traffic efficiency through information-based traffic control technology under the current traffic capacity, thereby promoting the comprehensive development of the smart transportation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic diagram of the panoramic architecture of a traffic expansion control system disclosed in an embodiment of the present invention;

[0051] Figure 2 The present invention is a schematic diagram of the components and functions of a traffic expansion control system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0054] like Figure 1 and Figure 2 As shown, a traffic expansion control system provided according to the present invention includes: a full-factor perception module, a traffic situation analysis module, a lane-level traffic flow control module, and a control information release module;

[0055] The full-factor perception module is used to obtain full-factor road condition monitoring data of the road section that needs to be expanded and controlled;

[0056] The traffic situation analysis module is used to analyze and predict the traffic flow of each road section based on the full-factor road condition monitoring data, monitor the type and level of emergency events in real time or link with a third party to monitor, and display the lanes corresponding to preset high-flow and high-risk events on the map;

[0057] The lane-level traffic flow control module is used to open or close the management lane according to the road congestion level and emergency event level of the lane;

[0058] The control information release module is used to release dynamic induction control information to smart devices within the grid-based three-level traffic control network.

[0059] In this implementation, on the basis of traffic situation analysis and prediction and an event discovery system based on full-factor perception, traffic organization is combined with information technology to realize traffic expansion control operations such as lane signal control, variable speed limit control, hub interchange ramp control, hard shoulder dynamic control, traffic induction, drone monitoring and control, and so on. An active traffic flow control system for highways is constructed with holographic perception, big data analysis, and intelligent control as the core, which reduces the road land acquisition area under the same traffic capacity. Under the current traffic capacity, the information-based traffic control technology is used to significantly improve the driving environment and traffic efficiency, thereby promoting the comprehensive development of the smart transportation system.

[0060] In the above implementation, preferably, the main data source of the full-factor road condition monitoring data is to use a standard data interface to obtain the camera, millimeter-wave radar, and other structured data provided by the data acquisition module and the data preprocessing module, specifically including equipment collection data, third-party collection data, and operator collection data.

[0061] The data collected by the equipment includes camera data collected by surveillance cameras, radar data collected by millimeter-wave radars, sensor data collected by sensors, ETC data collected by ETC equipment, and drone inspection data collected by drones;

[0062] Data collected by third parties include data related to the current road section area collected by weather forecast platforms, government management platforms, traffic management platforms, and other map production platforms;

[0063] The data collected by the operator includes data related to the current road section area collected by the road operation team's daily inspection team, high-traffic section inspection team and maintenance construction plan.

[0064] In addition, during the implementation process, a drone inspection system is also equipped, using an automated mobile monitoring cluster composed of multi-wing combination general-purpose drones to assist in monitoring real-time road conditions. Since the data obtained by drones is mainly in the form of images, these image data and camera and other forms of data play a role in mutual verification and complementation. In view of the characteristics of drone mobile monitoring, drone cruise route plans are arranged for high-risk and high-traffic sections to optimize the efficiency of drone inspections.

[0065] In the above implementation, preferably, the traffic situation analysis module is specifically used for:

[0066] Based on the analysis and prediction results of traffic flow in each road section, the lane section with traffic flow exceeding the preset amount is determined as a high-flow lane;

[0067] According to the types and levels of the monitored emergency events, emergency events with emergency levels exceeding the preset level will be determined as high-risk events;

[0068] High-traffic lanes and high-risk event locations and lanes are displayed on high-precision maps in the form of preset colors and interactive icons.

[0069] Specifically, during the implementation process, the system integrates the driving safety index of each section of the highway, the current and future traffic flow, and emergency event detection through standard data interfaces. By collating the above analysis results, the system can quickly identify all high-risk, high-flow and emergency section units in the road network and the corresponding lane information, and use high-precision maps to uniformly display the above information in the form of colors and interactive icons.

[0070] In the above implementation, preferably, the lane-level traffic flow control module is specifically used for:

[0071] For the management lanes in the road section area that needs to be expanded and controlled, if the lanes are in normal condition, close the management lanes;

[0072] When the road is congested within the preset range of the lane, the management lane in the preset area is opened, and when the congestion is relieved, the management lane in the preset area is closed;

[0073] When a minor traffic accident occurs on a lane, the management lane in the adjacent area will be temporarily opened and closed after the vehicle involved leaves;

[0074] When a high-risk event occurs on a lane, the high-risk lane and management lane will be closed to coordinate emergency rescue resources to quickly reach the risk location.

[0075] Specifically, during the implementation process, the core solution of lane management is to dynamically control the opening and closing of emergency lanes and hard shoulders based on static road section information and real-time traffic information. The opening and closing status of the management lane depends on:

[0076] (1) Road congestion level: If the road is severely congested, the management lane will be opened to ease traffic pressure. If the road remains unobstructed, the management lane will be closed for emergency use. In addition, if the system determines that there may be a traffic peak in the future, the management lane will be opened early to avoid congestion.

[0077] (2) Emergency response: If an emergency such as a traffic accident occurs on the road ahead, all lanes upstream of the accident site will be given early warning of the accident and prompt to change lanes, and the management lanes will be closed for emergency response.

[0078] The switching plans for other management lanes must comply with relevant traffic rules and policies. The corresponding plans will be stored in the system's management lane usage knowledge base. The system will automatically match according to real-time traffic information and switch the management lanes according to the corresponding management plans.

[0079] In the above implementation, preferably, for the grid-based three-level traffic control division within the road network, that is, according to "interchanges as first-level control units, 1km as second-level control units, and 500m as third-level control units", at least one set of gantry information board and variable lane indicator is respectively set in the first-level and second-level control units, and a small variable lane indicator is set in the third-level control unit;

[0080] The control information release module is associated with intelligent devices such as lane signals, variable speed limits, and broadcast voice on the road, and is specifically used for:

[0081] When a minor traffic accident or high-risk incident occurs on a lane, dynamic induction control information will be released within a preset distance upstream of the incident according to the grid-based three-level traffic control unit, and drivers will be prompted to slow down and change lanes as soon as possible using lane signals, broadcasts on light poles, and other equipment. In addition, control measures will be released simultaneously through other social media and other Internet information.

[0082] According to the traffic expansion control system disclosed in the above-mentioned implementation method, during the implementation design process, its main functions include: real-time road condition integration function, data visualization function, drone management function, control measure recommendation function, equipment control function, and control measure editing function, a total of 6 components.

[0083] (1) Real-time traffic conditions integration function

[0084] By using standard data interfaces, the system can integrate the driving safety index of each section of the highway, the current and future traffic flow, and emergency event detection. By collating the above analysis results, the system can quickly identify all high-risk, high-flow and emergency section units in the road network and the corresponding lane information.

[0085] (2) Data visualization function

[0086] The system makes full use of high-precision map data to accurately display the driving safety index, traffic congestion level and emergency event information of each road section unit in the road network. This information is presented on the large screen in the form of color coding and interactive icons, so that users can get road information at a glance. Road data is displayed on the large screen in the form of charts, and users can freely select and switch chart forms, parameter types and time ranges according to their needs.

[0087] (3) Drone management function

[0088] The system will display the relevant information of the drone cluster, including the location of the drone and the warehouse, the power of the drone, the historical trajectory of the cruise, etc. on the high-precision map. The system will give intelligent drone cruise suggestions based on the pre-set regular cruise plan, high-risk sections, high-traffic periods and highway emergency event detection, and display the drone video images on a large screen.

[0089] (4) Control measures suggestion function

[0090] Based on the collected real-time traffic information and the pre-set lane management switch rules, the system will automatically detect whether all three-level control units meet the control conditions. When a road section that requires operation of the management lane appears, the system will prompt the road management team through pop-up windows, sounds, highlights, color changes, etc. The content includes the current road section traffic flow information, or related information about emergency events ahead, and other real-time traffic information related to the preset management rules, and display video images of the relevant road sections in the user interface.

[0091] (5) Equipment control function

[0092] When the system implements control measures on a control unit, the system will give a list of suggestions for intelligent device control according to the preset rules, including lane signal changes, variable speed limit settings, broadcast content, etc. After confirmation by the user, the system will conduct dynamic information induction in advance at a certain distance upstream, using lane signals, broadcasts on light poles and other devices to prompt drivers to slow down and change lanes as soon as possible. Users can change all content before the system is released and the device is controlled. In addition, the system can simultaneously publish control measures through other social media and other Internet information.

[0093] (6) Control measures editing function

[0094] The road management team can edit all control measures in the system and set corresponding parameters such as real-time traffic information, emergency event types, and other relevant information. In addition, users can set up system operations according to the steps, including personnel mobilization, resource allocation, equipment control, information release, and system linkage.

[0095] During the implementation process, according to the expansion plan configuration, combined with the current traffic situation and emergency events, the lane control suggestion card will pop up automatically. The card displays the current lane status, traffic situation, emergency events, direction-starting pile number, suggestions, execution status, check road conditions button, plan execution button or plan recovery button.

[0096] Add, delete, modify, and query the expansion plan. The specific process includes:

[0097] 1. In the initial state: the management lane is not selectable;

[0098] 2. After selecting the congestion level and event level: change the event level optional data according to the conditions selected for the congestion level (to ensure the uniqueness of the conditions and prevent the existence of two expansion plans under the same conditions);

[0099] 3. If you have saved a plan with the same conditions (the congestion level and event level have been selected in the same combination), the previously selected management lane status will be automatically displayed. It is read-only, and the multiple selection button cannot be clicked for the device operation below. If you click Save, a prompt will pop up saying "There is already an expansion plan for the corresponding conditions, and it cannot be saved!";

[0100] 4. If the same conditions have not been saved before, release the multi-select control operation for selecting management lanes and equipment;

[0101] 5. Click OK to generate the plan, and the corresponding congestion level, event level, management lane status and whether the control equipment is enabled will be displayed in the list.

[0102] The present invention further proposes a traffic expansion control method, which is applied to the traffic expansion control system disclosed in any one of the above embodiments, comprising:

[0103] Obtain all-factor road condition monitoring data for the road section that needs to be expanded and controlled;

[0104] Analyze and predict traffic flow on each road section based on all-factor road condition monitoring data, monitor the types and levels of emergency events in real time or link up with a third party to monitor the types and levels of emergency events, and display the lanes corresponding to preset high-flow and high-risk events on the map;

[0105] Open or close management lanes according to the road congestion level and emergency incident level of the lanes;

[0106] Release dynamic guidance and control information to smart devices within the grid-based three-level traffic control network.

[0107] In the above implementation, preferably, the full-factor road condition monitoring data of the area of ​​the road section to be expanded and controlled is obtained, and the specific process includes:

[0108] Obtain all-factor road condition monitoring data for the road sections that need to be expanded and controlled;

[0109] All-factor road condition monitoring data includes data collected by equipment, data collected by third parties, and data collected by operators.

[0110] The data collected by the equipment includes camera data collected by surveillance cameras, radar data collected by millimeter-wave radars, sensor data collected by sensors, ETC data collected by ETC equipment, and drone inspection data collected by drones;

[0111] Data collected by third parties include data related to the current road section area collected by weather forecast platforms, government management platforms, traffic management platforms, and other map production platforms;

[0112] The data collected by the operator includes data related to the current road section area collected by the road operation team's daily inspection team, high-traffic section inspection team and maintenance construction plan.

[0113] In the above implementation, preferably, the traffic flow of each road section is analyzed and predicted based on the full-factor road condition monitoring data, the type and level of emergency events are monitored in real time or in conjunction with a third party, and the lanes corresponding to preset high-flow and high-risk events are displayed on the map. The specific process includes:

[0114] According to the analysis and prediction results of the traffic flow of each road section, the lane section with traffic flow exceeding the preset amount is determined as a high-flow lane;

[0115] According to the types and levels of the monitored emergency events, emergency events with emergency levels exceeding the preset level will be determined as high-risk events;

[0116] High-traffic lanes and high-risk event locations and lanes are displayed on high-precision maps in the form of preset colors and interactive icons.

[0117] In the above implementation, preferably, the management lane is opened or closed according to the road congestion level and the emergency event level of the lane, and the specific process includes:

[0118] For the management lanes in the road section area that needs to be expanded and controlled, if the lanes are in normal condition, close the management lanes;

[0119] When the road is congested within the preset range of the lane, the management lane in the preset area is opened, and when the congestion is relieved, the management lane in the preset area is closed;

[0120] When a minor traffic accident occurs on a lane, the management lane in the adjacent area will be temporarily opened and closed after the vehicle involved leaves;

[0121] When a high-risk event occurs on a lane, the high-risk lane and management lane will be closed to coordinate emergency rescue resources to quickly reach the risk location.

[0122] In the above implementation, preferably, the dynamic induction control information is released to the smart devices in the grid-based three-level traffic control road network, and the specific process includes:

[0123] According to the grid-based three-level traffic control division within the road network, at least one gantry information board and variable lane indicator are set in the first and second level control units respectively, and a small variable lane indicator is set in the third level control unit;

[0124] When a minor traffic accident or high-risk incident occurs on a lane, dynamic induction control information will be issued within a preset distance upstream of the incident according to the grid-based three-level traffic control unit, and control measures will be released simultaneously through Internet information.

[0125] According to the traffic expansion control method disclosed in the above-mentioned implementation mode, the functions to be achieved in each step are consistent with the functions that can be achieved by each module of the traffic expansion control system disclosed in the above-mentioned implementation mode. During the implementation process, operations are performed with reference to the above-mentioned implementation mode, which will not be repeated here.

[0126] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A traffic expansion control system, characterized in that: include: All-factor perception module, traffic situation analysis module, lane-level traffic flow control module, and control information release module; The full-factor perception module is used to obtain full-factor road condition monitoring data of the road section area that needs to be expanded and controlled; The traffic situation analysis module is used to analyze and predict the traffic flow of each road section based on the full-factor road condition monitoring data, monitor the type and level of emergency events in real time or link with a third party to monitor, and display the lanes corresponding to preset high-flow and high-risk events on the map; The lane-level traffic flow control module is used to open or close the management lane according to the road congestion level and emergency event level of the lane; The control information release module is used to release dynamic induction control information to smart devices within the grid-based three-level traffic control road network.

2. The traffic expansion control system according to claim 1, characterized in that: The full-factor road condition monitoring data includes data collected by equipment, data collected by a third party, and data collected by the operator. The data collected by the device includes camera data collected by monitoring cameras, radar data collected by millimeter-wave radars, sensor data collected by sensors, ETC data collected by ETC devices, and drone inspection data collected by drones; The third-party collected data includes data related to the current road section area collected by the weather forecast platform, government management platform, traffic management platform and other map manufacturer platforms; The data collected by the operator includes data related to the current road section area collected by the daily inspection team of the road operation team, the high-traffic road section inspection team and the maintenance and construction plan.

3. The traffic expansion control system according to claim 1, characterized in that: The traffic situation analysis module is specifically used for: Based on the analysis and prediction results of traffic flow in each road section, the lane section with traffic flow exceeding the preset amount is determined as a high-flow lane; According to the types and levels of the monitored emergency events, emergency events with emergency levels exceeding the preset level will be determined as high-risk events; The high-traffic lanes and the locations and lanes of the high-risk events are displayed on the high-precision map in the form of preset colors and interactive icons.

4. The traffic expansion control system according to claim 3 is characterized in that: The lane-level traffic flow control module is specifically used for: For the management lanes in the area of ​​the road section that needs to be expanded and controlled, if the lanes are in a normal state, the management lanes are closed; When the road is congested within the preset range of the lane, the management lane in the preset area is opened, and when the congestion is relieved, the management lane in the preset area is closed; When a minor traffic accident occurs on a lane, the management lane in the adjacent area will be temporarily opened and closed after the vehicle involved leaves; When a high-risk event occurs on a lane, the high-risk lane and management lane will be closed to coordinate emergency rescue resources to quickly reach the risk location.

5. The traffic expansion control system according to claim 4, characterized in that: According to the grid-based three-level traffic control division within the road network, at least one gantry information board and variable lane indicator are set in the first and second level control units respectively, and a small variable lane indicator is set in the third level control unit; The control information release module is specifically used for: When a minor traffic accident or high-risk incident occurs on a lane, dynamic induction control information will be issued within a preset distance upstream of the incident according to the grid-based three-level traffic control unit, and control measures will be released simultaneously through Internet information.

6. A traffic expansion control method, characterized in that: A traffic expansion control system as claimed in any one of claims 1 to 5, comprising: Obtain all-factor road condition monitoring data for the road section that needs to be expanded and controlled; Based on the all-factor road condition monitoring data, traffic flow of each road section is analyzed and predicted, the types and levels of emergency events are monitored in real time or in conjunction with a third party for monitoring, and lanes corresponding to preset high-flow and high-risk events are displayed on the map; Open or close management lanes according to the road congestion level and emergency incident level of the lanes; Release dynamic guidance and control information to smart devices within the grid-based three-level traffic control network.

7. The traffic expansion control method according to claim 6, characterized in that: The specific process of obtaining the full-factor road condition monitoring data of the required expansion control section area includes: Obtain all-factor road condition monitoring data for the road sections that need to be expanded and controlled; The full-factor road condition monitoring data includes data collected by equipment, data collected by a third party, and data collected by the operator. The data collected by the device includes camera data collected by monitoring cameras, radar data collected by millimeter-wave radars, sensor data collected by sensors, ETC data collected by ETC devices, and drone inspection data collected by drones; The third-party collected data includes data related to the current road section area collected by the weather forecast platform, government management platform, traffic management platform and other map manufacturer platforms; The data collected by the operator includes data related to the current road section area collected by the daily inspection team of the road operation team, the high-traffic road section inspection team and the maintenance and construction plan.

8. The traffic expansion control method according to claim 6, characterized in that: The traffic flow of each road section is analyzed and predicted based on the full-factor road condition monitoring data, the type and level of emergency events are monitored in real time or linked to a third party for monitoring, and the lanes corresponding to preset high-flow and high-risk events are displayed on the map. The specific process includes: According to the analysis and prediction results of the traffic flow of each road section, the lane section with traffic flow exceeding the preset amount is determined as a high-flow lane; According to the types and levels of the monitored emergency events, emergency events with emergency levels exceeding the preset level will be determined as high-risk events; The high-traffic lanes and the locations and lanes of the high-risk events are displayed on the high-precision map in the form of preset colors and interactive icons.

9. The traffic expansion control method according to claim 8, characterized in that: The specific process of opening or closing the management lane according to the road congestion level and emergency event level of the lane includes: For the management lanes in the area of ​​the road section that needs to be expanded and controlled, if the lanes are in a normal state, the management lanes are closed; When the road is congested within the preset range of the lane, the management lane in the preset area is opened, and when the congestion is relieved, the management lane in the preset area is closed; When a minor traffic accident occurs on a lane, the management lane in the adjacent area will be temporarily opened and closed after the vehicle involved leaves; When a high-risk event occurs on a lane, the high-risk lane and management lane will be closed to coordinate emergency rescue resources to quickly reach the risk location.

10. The traffic expansion control method according to claim 9, characterized in that: The specific process of publishing dynamic induction control information to the intelligent devices in the grid-based three-level traffic control road network includes: According to the grid-based three-level traffic control division within the road network, at least one gantry information board and variable lane indicator are set in the first and second level control units respectively, and a small variable lane indicator is set in the third level control unit; When a minor traffic accident or high-risk incident occurs on a lane, dynamic induction control information will be issued within a preset distance upstream of the incident according to the grid-based three-level traffic control unit, and control measures will be released simultaneously through Internet information.

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