Road traffic monitoring system and method

Abstract

The invention relates to a road traffic monitoring system and method, and belongs to the technical field of road safety, the road traffic monitoring system comprises a traffic data monitoring platform, an unmanned aerial vehicle scheduling platform and a monitoring center, the traffic data monitoring platform is used for monitoring traffic data of a to-be-monitored road to be abnormal when the traffic data of the to-be-monitored road is monitored to be abnormal, and the unmanned aerial vehicle scheduling platform is used for scheduling unmanned aerial vehicles. A traffic abnormity early warning signal is sent out; the unmanned aerial vehicle scheduling platform is used for scheduling the unmanned aerial vehicle to go to the traffic abnormal position when receiving the traffic abnormal early warning signal, and controlling the unmanned aerial vehicle to collect field traffic data of the traffic abnormal position; and the monitoring center is used for receiving the field traffic data and determining a traffic dredging scheme based on the field traffic data. According to the invention, the accident response time can be reduced, the accident processing efficiency can be improved, the monitoring center analyzes the on-site traffic data returned by the unmanned aerial vehicle, the traffic dredging scheme can be rapidly determined, congestion aggravation can be prevented, and the risk of re-occurrence of an accident can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of road safety, and in particular to a road traffic monitoring system and method. Background Art

[0002] With the continuous expansion of the transportation network and the increasing number of vehicles, traffic accidents, congestion or other emergency events on highways occur frequently. In order to improve the efficiency of traffic management, it is necessary to speed up the handling of emergency events.

[0003] In the existing related technologies, emergency events on highways are usually monitored by fixed cameras, sensors and other devices on the highways. When an emergency event is detected, ground personnel are dispatched to the scene of the emergency to handle it and clear the traffic. However, due to the limited installation locations of cameras, sensors and other devices, some emergency events cannot be discovered in time. In addition, the time it takes for ground personnel to go to the scene of the emergency is often affected by road conditions and traffic congestion. Especially during peak hours or on accident sections, it may take a long time for ground personnel to reach the scene of the accident. This lag will delay the handling of the accident, aggravate congestion, and may even cause secondary accidents.

[0004] This shows that the existing technology is not timely enough in handling road emergencies and is greatly affected by road conditions and traffic congestion. Summary of the invention

[0005] In view of this, it is necessary to provide a road traffic monitoring system and method to solve the problem that the existing technology is not timely enough in handling road emergency events and is greatly affected by road conditions and traffic congestion.

[0006] In order to solve the above problems, the present invention provides a road traffic monitoring system, including: a traffic data monitoring platform, a drone dispatching platform and a monitoring center, wherein: The traffic data monitoring platform is used to send out a traffic anomaly warning signal when abnormal traffic data of the road to be monitored is detected; The drone dispatching platform is used to dispatch the drone to the traffic abnormality location upon receiving the traffic abnormality warning signal, and control the drone to collect on-site traffic data at the traffic abnormality location; The monitoring center is used to receive the on-site traffic data and determine a traffic clearance plan based on the on-site traffic data.

[0007] In a possible implementation, the traffic data monitoring platform includes a plurality of traffic data monitoring devices arranged on the road to be monitored, and the traffic data monitoring platform is further used for: When any of the traffic data monitoring devices detects abnormal traffic data, a traffic anomaly warning signal is sent to the drone dispatching platform, wherein the traffic anomaly warning signal includes the location information of the traffic data monitoring device.

[0008] In a possible implementation, the drone dispatching platform includes a plurality of drones, and the drone dispatching platform is further used for: The traffic anomaly location is determined based on the location information of the traffic data monitoring device; and the drone closest to the traffic anomaly location is dispatched to the traffic anomaly location.

[0009] In a possible implementation, the drone is equipped with an image acquisition device, a thermal imager, and a laser radar sensor, wherein: The image acquisition device is used to acquire on-site traffic images of the traffic anomaly location; The thermal imager is used to collect thermal imaging images of the traffic anomaly location; The laser radar sensor is used to collect the laser radar image of the traffic anomaly location.

[0010] In a possible implementation, the drone is equipped with an image analysis module and an information publishing module, wherein: The image analysis module is used to determine the type of traffic accident at the abnormal traffic location based on the on-site traffic image, the thermal imaging image and the laser radar image, and determine the emergency traffic management information based on the traffic accident type; The information publishing module is used to publish the emergency traffic management information.

[0011] In a possible implementation, the information publishing module includes a foldable display unit and an onboard broadcast unit, wherein: The foldable display unit is used to display text information in the emergency traffic management information; The onboard broadcast unit is used to play the audio information in the emergency traffic management information.

[0012] In a possible implementation, the monitoring center includes a data analysis module, and the data analysis module is used to analyze the on-site traffic data to determine the severity of the traffic accident.

[0013] In a possible implementation, the monitoring center further includes an emergency dispatch module for dispatching ground emergency forces based on the severity of the traffic accident.

[0014] In a possible implementation, the monitoring center further includes a display module, and the display module is used to display a live picture of the traffic anomaly location.

[0015] The present invention further provides a road traffic monitoring method, which is applied to the road traffic monitoring system described in any of the above embodiments, comprising: Based on the traffic data anomaly information of the road to be detected monitored by the traffic signal monitoring platform, determine the traffic anomaly location; Controlling the drone to go to the abnormal traffic location, and controlling the drone to collect on-site traffic data at the abnormal traffic location; A traffic clearing plan is determined based on the traffic scene data.

[0016] The beneficial effects of the present invention are as follows: the road traffic monitoring system provided by the present invention monitors the traffic data of the road to be inspected through the Giti data monitoring platform, and when the traffic data is found to be abnormal, a traffic anomaly warning signal is issued, and the drone dispatching platform dispatches the drone to the traffic anomaly location based on the traffic anomaly warning signal, and collects on-site traffic data of the traffic anomaly location through the drone, and sends the on-site traffic data to the monitoring center, and the monitoring center determines the traffic clearance plan based on the traffic data, and the traffic data monitoring of the road to be inspected is more comprehensive. When traffic anomalies occur, drones can be directly dispatched for investigation without the need for ground personnel to go, thereby reducing accident response time and improving accident handling efficiency. The monitoring center analyzes the on-site traffic data transmitted back by the drone, quickly determines the traffic clearance plan, prevents congestion from worsening, and reduces the risk of another accident. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] FIG1 is a schematic diagram of the structure of a road traffic monitoring system provided by an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a drone provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an information publishing module provided by an embodiment of the present invention; Figure 4 A schematic flow chart of a road traffic monitoring method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the present invention and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone.

[0021] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] A specific embodiment of the present invention, as Figure 1 As shown, a road traffic monitoring system is disclosed, including: a traffic data monitoring platform 101, a drone dispatching platform 102 and a monitoring center 103, wherein: The traffic data monitoring platform 101 is used to issue a traffic anomaly warning signal when abnormal traffic data of the road to be monitored is detected; The drone dispatching platform 102 is used to dispatch drones to the traffic anomaly location when receiving the traffic anomaly warning signal, and control the drones to collect on-site traffic data at the traffic anomaly location; The monitoring center 103 is used to receive on-site traffic data and determine a traffic clearance plan based on the on-site traffic data.

[0023] In an embodiment of the present invention, the road to be monitored refers to the road detected by the traffic data monitoring platform, such as expressways, tunnels, mountain roads, etc. The traffic data includes the traffic flow data, vehicle speed data, etc. on the road. When an emergency occurs on the road, the most intuitive manifestation is the change in the traffic flow data and vehicle speed data. Therefore, the traffic data monitoring platform can determine whether an abnormality occurs on the road to be detected based on the detected traffic data. When the traffic data is abnormal, a traffic abnormality warning signal is issued.

[0024] The drone dispatching platform can dispatch drones to the traffic anomaly location based on the traffic anomaly warning signal. The drones can collect on-site traffic data at the traffic anomaly location and send the traffic data to the monitoring center. The monitoring center determines the traffic clearance plan based on the on-site traffic data.

[0025] The road traffic monitoring system provided by the present invention monitors the traffic data of the road to be detected through the Giti data monitoring platform. When the traffic data is found to be abnormal, a traffic anomaly warning signal is issued. The drone dispatching platform dispatches the drone to the traffic anomaly location based on the traffic anomaly warning signal, and collects on-site traffic data of the traffic anomaly location through the drone, and sends the on-site traffic data to the monitoring center. The monitoring center determines a traffic clearance plan based on the traffic data, and the traffic data monitoring of the road to be detected is more comprehensive. When traffic anomalies occur, drones can be directly dispatched for investigation without the need for ground personnel to go, thereby reducing accident response time and improving accident handling efficiency. The monitoring center analyzes the on-site traffic data sent back by the drone, quickly determines a traffic clearance plan, prevents congestion from worsening, and reduces the risk of another accident.

[0026] As a possible implementation of the present invention, in this implementation, the traffic data monitoring platform includes a plurality of traffic data monitoring devices arranged on the road to be monitored, and the traffic data monitoring platform is also used for: When any traffic data monitoring device detects abnormal traffic data, it sends a traffic anomaly warning signal to the drone dispatching platform, where the traffic anomaly warning signal includes the location information of the traffic data monitoring device.

[0027] In an embodiment of the present invention, the traffic data monitoring platform includes a plurality of traffic data monitoring devices arranged on the road to be monitored, and the traffic data monitoring devices include cameras, ground sensors, speed meters, etc. The traffic data monitoring devices can fully cover the road to be detected and perform real-time monitoring of data such as traffic flow and speed on the road to be detected.

[0028] Furthermore, if an emergency event occurs on the road to be inspected, such as a traffic accident, the speed of vehicles on that road section will be significantly reduced, causing congestion, leading to a significant increase in traffic volume data. Based on this, it can be determined that the traffic data on that road section is abnormal. At this time, the traffic data monitoring platform can issue a traffic anomaly warning signal based on the traffic data anomaly. The traffic anomaly warning signal includes the location information of the traffic data monitoring equipment that collected the abnormal traffic data on the road to be inspected, so as to facilitate the drone dispatching platform to determine the location of the traffic anomaly.

[0029] The embodiment of the present invention monitors the traffic data of the road to be monitored by covering the traffic data monitoring equipment set on the road to be monitored, and promptly issues traffic anomaly warning information when abnormal traffic data is found, so as to facilitate the drone to quickly reach the location of the traffic anomaly and improve the response speed of emergency events.

[0030] As a possible implementation of the present invention, in this implementation, the drone dispatching platform includes a plurality of drones, and the drone dispatching platform is further used for: The location of the traffic anomaly is determined based on the location information of the traffic data monitoring equipment; and the drone closest to the traffic anomaly location is dispatched to the traffic anomaly location.

[0031] In an embodiment of the present invention, when the traffic data monitoring device detects abnormal traffic data, the traffic data monitoring platform will add the location of the traffic data monitoring device in the road to be monitored to the traffic anomaly warning signal. After receiving the traffic anomaly warning signal, the drone dispatching platform determines the traffic anomaly location based on the location of the traffic data monitoring device in the road to be monitored, and dispatches the nearest drone to the traffic anomaly location based on the traffic anomaly location. Optionally, the drone dispatching platform includes multiple drone parking points, which are discretely distributed along the road to be monitored, to ensure that the drone can arrive at the fastest speed when an emergency event occurs at each location on the road to be monitored. Based on this, after determining the traffic anomaly location, the drone dispatching platform dispatches the drone to the traffic anomaly location at the drone parking point closest to the traffic anomaly location. Optionally, the dispatched drones can be one or more.

[0032] The embodiment of the present invention determines the location of traffic anomaly through the location of traffic data monitoring equipment, and dispatches the drone closest to the traffic anomaly location to the location, thereby improving the response speed of emergency events.

[0033] As a possible implementation of the present invention, in this implementation, the drone is equipped with an image acquisition device, a thermal imager, and a laser radar sensor, wherein: The image acquisition device is used to acquire on-site traffic images of traffic anomaly locations; Thermal imagers are used to collect thermal images of traffic anomaly locations; The LiDAR sensor is used to collect LiDAR images of traffic anomaly locations.

[0034] In the embodiment of the present invention, the drone is equipped with multiple data acquisition devices, including image acquisition devices, thermal imagers, and laser radar sensors, which can accurately detect accidents in complex environments; for example, at night or in bad weather (such as fog or rain), the thermal imager can capture the heat signal of the accident vehicle, and the laser radar can generate a three-dimensional map of the scene to identify obstacles and the location of the accident vehicle. This multi-sensor fusion technology ensures that high-precision accident identification can be achieved under adverse conditions.

[0035] Further, such as Figure 2 As shown, the drone is equipped with an image analysis module 201 and an information publishing module 202, wherein: The image analysis module 201 is used to determine the type of traffic accident at the abnormal traffic location based on the on-site traffic image, thermal imaging image and laser radar image, and determine the emergency traffic management information based on the traffic accident type; The information publishing module 202 is used to publish emergency traffic management information.

[0036] In the embodiment of the present invention, the image analysis module is used to analyze the traffic accident based on the on-site traffic images, thermal imaging images and laser radar images collected by the drone, automatically determine the accident type of the traffic accident in combination with the intelligent algorithm, and determine the corresponding emergency traffic management information based on the accident type of the traffic accident, and the information release module is used to release the emergency traffic management information at the scene of the traffic accident. Optionally, the emergency traffic management information includes traffic accident situation broadcast information, emergency traffic diversion information, etc.

[0037] Further, such as Figure 3 As shown, the information publishing module includes a folding display unit 301 and an onboard broadcast unit 302, wherein: The foldable display unit 301 is used to display text information in the emergency traffic management information; The onboard broadcast unit 302 is used to play the audio information in the emergency traffic management information.

[0038] In an embodiment of the present invention, emergency traffic management information includes text information and audio information. Traditional fixed electronic information boards cannot be flexibly adjusted according to the actual situation of the accident site, while the foldable LED screen and airborne broadcast carried by the drone platform of the present invention can be directly unfolded above the accident site to issue accurate accident prompts and guidance information to surrounding vehicles. The LED screen can not only display dynamic text information, but also automatically adjust according to road conditions to ensure that the information coverage is maximized, while reducing the risk of misoperation that may be caused by driver delays. Based on the severity of the traffic accident, a foldable display unit and / or an airborne broadcast unit can be used for broadcasting. For example, for minor accidents or congestion, the drone will unfold the foldable LED screen and directly display accident prompt information (such as "accident ahead, please slow down" or "closed ahead, please detour") to surrounding vehicles. For more serious accidents, in addition to displaying the LED screen, the drone will also issue voice instructions to surrounding drivers through the airborne broadcast to guide them to pass safely or take avoidance measures.

[0039] The drone in the embodiment of the present invention can broadcast emergency traffic management information to drivers of vehicles at the traffic scene according to the severity of the traffic accident by carrying an information release module, guide the drivers to pass safely or take avoidance measures, reduce vehicle congestion, and reduce the risk of recurrence of the accident.

[0040] As a possible implementation of the present invention, in this implementation, the monitoring center includes a data analysis module, and the data analysis module is used to analyze on-site traffic data to determine the severity of the traffic accident.

[0041] Furthermore, the monitoring center also includes an emergency dispatch module for dispatching ground emergency forces based on the severity of the traffic accident.

[0042] Furthermore, the monitoring center also includes a display module, which is used to display the on-site picture of the traffic abnormality location.

[0043] In an embodiment of the present invention, the monitoring center is provided with a data analysis module for analyzing the on-site traffic data collected by the drone. Optionally, the drone maintains real-time data transmission with the monitoring center through the 5G network or other high-speed wireless communication technology to ensure that the monitoring center can understand the specific situation of the accident scene in real time. The monitoring center further optimizes the emergency response plan by analyzing the data sent back by the drone, and commands the drone to continue monitoring or assist in dispatching ground rescue forces. The dispatching capability of the monitoring center effectively solves the command lag problem in traditional emergency response. Furthermore, the monitoring center can also be provided with a display module, such as an integrated display screen, which can display the scene of the traffic accident in real time, so that the staff can further understand the situation at the scene of the traffic accident, wherein the scene of the traffic accident can be collected by the image acquisition device of the drone.

[0044] The road traffic monitoring system provided by the present invention monitors the traffic data of the road to be detected through the Giti data monitoring platform. When the traffic data is found to be abnormal, a traffic anomaly warning signal is issued. The drone dispatching platform dispatches the drone to the traffic anomaly location based on the traffic anomaly warning signal, and collects on-site traffic data of the traffic anomaly location through the drone, and sends the on-site traffic data to the monitoring center. The monitoring center determines a traffic clearance plan based on the traffic data, and the traffic data monitoring of the road to be detected is more comprehensive. When traffic anomalies occur, drones can be directly dispatched for investigation without the need for ground personnel to go, thereby reducing accident response time and improving accident handling efficiency. The monitoring center analyzes the on-site traffic data sent back by the drone, quickly determines a traffic clearance plan, prevents congestion from worsening, and reduces the risk of another accident. The flexible maneuverability of drones overcomes the problem of blind spots in traditional fixed cameras and ensures real-time monitoring of the entire road section. The drone's rapid takeoff and arrival capabilities, combined with image analysis technology, significantly shorten the response time to emergencies, improve the accuracy of accident detection, and reduce reliance on manual monitoring. The drone's folding display unit and broadcast unit can flexibly release emergency information based on the accident situation, guide vehicles to pass safely, and avoid secondary accidents caused by information delays. Through multi-sensor fusion, efficient accident detection and information release can still be maintained in severe weather and complex environments, improving the reliability of overall emergency management.

[0045] Correspondingly, the present invention also provides a road traffic monitoring method, which is applied to the road traffic monitoring system of any of the above embodiments, such as Figure 4 As shown, including: S401, determining a traffic anomaly location based on traffic data anomaly information of the road to be detected monitored by the traffic signal monitoring platform; S402, controlling the drone to go to the location of the traffic anomaly, and controlling the drone to collect on-site traffic data at the location of the traffic anomaly; S403, determining a traffic clearing plan based on traffic site data.

[0046] It should be noted that the road traffic monitoring method provided in the above embodiment can implement the technical solution described in the above road traffic monitoring system embodiment. The principles or specific implementation details of the above steps can be found in the corresponding contents in the above road traffic monitoring system embodiment, which will not be described one by one here.

[0047] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0048] The road traffic monitoring system and method provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A road traffic monitoring system, characterized in that: include: Traffic data monitoring platform, drone dispatching platform and monitoring center, including: The traffic data monitoring platform is used to send out a traffic anomaly warning signal when abnormal traffic data of the road to be monitored is detected; The drone dispatching platform is used to dispatch the drone to the traffic abnormality location upon receiving the traffic abnormality warning signal, and control the drone to collect on-site traffic data at the traffic abnormality location; The monitoring center is used to receive the on-site traffic data and determine a traffic clearance plan based on the on-site traffic data.

2. The road traffic monitoring system according to claim 1, characterized in that: The traffic data monitoring platform includes a plurality of traffic data monitoring devices arranged on the road to be monitored, and the traffic data monitoring platform is also used for: When any of the traffic data monitoring devices detects abnormal traffic data, a traffic anomaly warning signal is sent to the drone dispatching platform, wherein the traffic anomaly warning signal includes the location information of the traffic data monitoring device.

3. The road traffic monitoring system according to claim 2, characterized in that: The drone dispatching platform includes a plurality of drones, and the drone dispatching platform is also used for: The traffic anomaly location is determined based on the location information of the traffic data monitoring device; and the drone closest to the traffic anomaly location is dispatched to the traffic anomaly location.

4. The road traffic monitoring system according to claim 1, characterized in that: The drone is equipped with an image acquisition device, a thermal imager and a laser radar sensor, wherein: The image acquisition device is used to acquire on-site traffic images of the traffic anomaly location; The thermal imager is used to collect thermal imaging images of the traffic anomaly location; The laser radar sensor is used to collect the laser radar image of the traffic anomaly location.

5. The road traffic monitoring system according to claim 4, characterized in that: The drone is equipped with an image analysis module and an information release module, wherein: The image analysis module is used to determine the type of traffic accident at the abnormal traffic location based on the on-site traffic image, the thermal imaging image and the laser radar image, and determine the emergency traffic management information based on the traffic accident type; The information publishing module is used to publish the emergency traffic management information.

6. The road traffic monitoring system according to claim 5, characterized in that: The information publishing module includes a foldable display unit and an onboard broadcast unit, wherein: The foldable display unit is used to display text information in the emergency traffic management information; The onboard broadcast unit is used to play the audio information in the emergency traffic management information.

7. The road traffic monitoring system according to claim 1, characterized in that: The monitoring center includes a data analysis module, which is used to analyze the on-site traffic data and determine the severity of the traffic accident.

8. The road traffic monitoring system according to claim 7, characterized in that: The monitoring center also includes an emergency dispatch module for dispatching ground emergency forces based on the severity of the traffic accident.

9. The road traffic monitoring system according to claim 8, characterized in that: The monitoring center also includes a display module, and the display module is used to display the on-site picture of the traffic anomaly location.

10. A road traffic monitoring method, characterized in that: The road traffic monitoring system applied to any one of claims 1 to 9 comprises: Based on the traffic data anomaly information of the road to be detected monitored by the traffic signal monitoring platform, determine the traffic anomaly location; Controlling the drone to go to the abnormal traffic location, and controlling the drone to collect on-site traffic data at the abnormal traffic location; A traffic clearing plan is determined based on the traffic scene data.

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