Tunnel driving safety management system and method

Abstract

The application relates to the technical field of tunnel traffic management and control, in particular to a tunnel driving safety management system and method. The system comprises a server, tunnel sensing equipment arranged in a tunnel and tunnel broadcasting equipment, the server comprises a state acquisition module, a vehicle grading module and a grading control module; the state acquisition module is used for acquiring driving data of vehicles in the tunnel and road data in the tunnel in real time through the tunnel sensing equipment; the vehicle grading module is used for grading the vehicles driving in the tunnel according to the driving data, wherein the vehicle grading comprises low-speed vehicles, medium-speed vehicles and high-speed vehicles; the grading control module is used for generating different monitoring strategies and broadcasting messages for vehicles of different grades according to the vehicle grades; the tunnel sensing equipment is further used for executing the monitoring strategies; and the tunnel broadcasting equipment is used for executing the broadcasting messages. The vehicles in the tunnel can be graded and controlled, and different control strategies are adopted for vehicles of different grades.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tunnel traffic control, and particularly relates to a tunnel driving safety management system and method. BACKGROUND

[0002] At present, with the rapid development of national economy and transportation industry, in order to meet the travel needs of the masses, the highway construction in China is continuously promoted, and at the same time, affected by the topography, the number of tunnels in China has also increased rapidly. As a special section of the highway, the tunnel has a corresponding influence on the physiology and psychology of the driver when the vehicle passes through the tunnel. In addition, many vehicles are speeding and do not maintain a safe distance, which leads to frequent traffic accidents in the tunnel. With the steady increase of highway traffic, tunnel driving safety will be given special attention.

[0003] At present, the driving speed management of the tunnel is mainly interval speed measurement, camera violation photographing and the like. The display device arranged in the tunnel displays the driving speed of the vehicle. However, through this way, the driver can only know the current driving speed. Since the light in the tunnel is dim, the driver cannot fully understand the driving speed and driving state of the front and rear vehicles during driving, so whether the driving speed is fast or slow, there is a risk of traffic accident. For example, if the driving speed is too slow and lower than the minimum required speed limit of the highway, it may be rear-ended by the rear vehicle, so the driving speed of the vehicle in the tunnel should not be controlled only according to whether the vehicle is speeding, but different risk notification methods should be used for vehicles with different speeds in different sections. SUMMARY

[0004] The technical problem solved by the present application is to provide a tunnel driving safety management system and method, which can perform hierarchical control on vehicles in the tunnel and use different control strategies for different hierarchical vehicles.

[0005] The basic scheme provided by the present application is a tunnel driving safety management system, which comprises a server, a tunnel sensing device arranged in the tunnel and a tunnel broadcasting device, and the server comprises a state acquisition module, a vehicle classification module and a hierarchical control module.

[0006] The state acquisition module is used for acquiring driving data of vehicles in the tunnel and road data in the tunnel in real time through the tunnel sensing device.

[0007] The vehicle classification module is used for classifying the driving vehicles in the tunnel according to the driving data, and the vehicle classification comprises low-speed vehicles, medium-speed vehicles and high-speed vehicles.

[0008] The hierarchical control module is used for generating different monitoring strategies and broadcast messages for vehicles of different hierarchies according to the hierarchy of the vehicle, and the tunnel sensing device is further used for executing the monitoring strategies, and the tunnel broadcast device is used for executing the broadcast messages.

[0009] The principle of the present application is that the driving data of the vehicle driving in the tunnel and the road data in the tunnel are collected by the sensing device in the tunnel, and the driving information and road information in the tunnel are identified. The risk of the driving vehicle is classified according to the driving data, including low-speed vehicles, medium-speed vehicles and high-speed vehicles. The tunnel broadcast device is used for broadcast control for vehicles of different hierarchies, different vehicles are broadcasted in different ways, and different monitoring strategies are adopted for different vehicles.

[0010] Compared with the prior art, the vehicles in the tunnel are classified and then broadcasted. Different monitoring methods are adopted for vehicles of different speeds, some low-speed vehicles are filtered out, and high-speed vehicles are monitored in a targeted manner, which facilitates accurate control of high-speed vehicles. At the same time, different broadcast strategies are adopted for vehicles of different hierarchies, different monitoring strategies and broadcast messages are adopted for low-speed vehicles, medium-speed vehicles and high-speed vehicles to inform the risks of vehicles of different speeds.

[0011] Further, the tunnel sensing device includes a plurality of microwave vehicle detectors, video vehicle detectors and coil vehicle sensors arranged in the tunnel, the microwave vehicle detector is used to detect the traffic flow in the tunnel, the video vehicle detector is used to shoot the driving video of the vehicle in the tunnel, and the coil vehicle sensor is used to detect the driving speed of the vehicle in the tunnel.

[0012] The vehicle classification module includes a speed classification module.

[0013] The speed classification module is used for setting a first speed threshold and a second speed threshold according to the traffic flow in the tunnel, and classifying the vehicle whose driving speed is lower than the first speed threshold as a low-speed vehicle, the vehicle whose driving speed is higher than the first speed threshold and lower than the second speed threshold as a medium-speed vehicle, and the vehicle whose driving speed is higher than the second speed threshold as a high-speed vehicle according to the vehicle license plate identified from the driving video.

[0014] The traffic in the tunnel is monitored by a microwave vehicle detector, the driving video of the vehicle in the tunnel is detected by a video vehicle detector, and the driving speed of the vehicle in the tunnel is detected by a coil type vehicle sensor. The conventional monitoring system scheme simply relies on video to identify the traffic condition in the tunnel, and the identification accuracy and brightness are often limited by the video monitoring capability, which cannot meet the demand of the tunnel operation to comprehensively grasp the overall traffic condition of the tunnel. Through multiple types of detection methods, the traffic condition perception of the whole tunnel can be accurately covered, and the accurate control ability of the tunnel can be improved.

[0015] After the traffic flow is detected by the microwave detector, the first speed threshold and the second speed threshold are set according to the traffic flow, and the first speed threshold and the second speed threshold are lower when the traffic flow is higher. According to the vehicle speed identified by the coil type vehicle sensor and the vehicle license plate identified by the video, the driving speed of each vehicle is determined. Specifically, the time of the identified vehicle speed recognized by the coil type vehicle sensor and the time of the vehicle passing through the monitoring section in the driving video are determined to determine which vehicle the measured vehicle speed belongs to. The driving speed of each vehicle is compared with the first speed threshold and the second speed threshold, so that each vehicle is classified according to the driving speed.

[0016] Further, the tunnel broadcasting device includes a text broadcasting device, the text broadcasting device includes a plurality of display screens distributed in the tunnel, and the tunnel is divided into a plurality of broadcasting sections according to the broadcasting range and the position of the display screen;

[0017] The hierarchical control module includes a speed warning module.

[0018] The speed warning module is configured to send a first broadcast message to the display screen of the broadcast section where the low-speed vehicle is located, the first broadcast message including the driving speed of the medium-speed vehicle and the high-speed vehicle behind the broadcast section, the current broadcast section and the lane; and send a second broadcast message to the display screen of the broadcast section where the high-speed vehicle is located, the second broadcast message including the driving speed of the low-risk vehicle in front of the broadcast section, the current broadcast section and the lane.

[0019] The display screen is configured to display the first broadcast message and the second broadcast message in different display areas respectively.

[0020] The display screen is arranged in each section of the tunnel to broadcast, and a display screen is arranged every section. When broadcasting, the display screen of the broadcasting section where the low-speed vehicle is located is sent the driving speed and the current broadcasting section and the driving lane of the medium-speed vehicle and the high-speed vehicle behind the low-speed vehicle. The existing speed broadcasting usually only informs the driving speed of each vehicle to the corresponding vehicle. Since the light in the tunnel is dim and the lane changing is not allowed in the tunnel, the driving speed and the driving lane of the medium-speed vehicle and the high-speed vehicle behind the low-speed vehicle are broadcast to the low-speed vehicle, so that the slow driving vehicle can know the information of the fast driving vehicle behind it, and if in the same lane, the slow driving vehicle can accelerate appropriately. Meanwhile, the driving speed and the driving lane of the slow driving vehicle in front of the medium-speed vehicle and the high-speed vehicle are broadcast to the medium-speed vehicle and the high-speed vehicle, so that the medium-speed vehicle and the high-speed vehicle can slow down in advance if in the same lane and without accelerating.

[0021] Further, the server further comprises a section analysis module, a vehicle analysis module and a braking analysis module;

[0022] The section analysis module is configured to identify whether there is a congestion section in the tunnel according to the traffic flow in the tunnel, and determine the broadcasting section where the congestion section is located when the congestion section exists.

[0023] The hierarchical control module comprises a congestion warning module.

[0024] The congestion warning module is configured to perform congestion broadcast prompting when the distance between the broadcasting section where the low-speed vehicle is located and the broadcasting section where the congestion section is located is one broadcasting section, perform congestion broadcast prompting when the distance between the broadcasting section where the medium-speed vehicle is located and the broadcasting section where the congestion section is located is two broadcasting sections, and perform congestion broadcast prompting when the distance between the broadcasting section where the high-speed vehicle is located and the broadcasting section where the congestion section is located is three broadcasting sections.

[0025] When the congestion occurs in front of the vehicle, the low-speed vehicle, the medium-speed vehicle and the high-speed vehicle are prompted at different distances from the congestion section according to the driving speed of the vehicle. The fast driving vehicle is prompted in advance, so that the fast driving vehicle has sufficient time to slow down. In this way, the broadcast is triggered only when the low-speed vehicle is located in front of the medium-speed vehicle or the high-speed vehicle, and the broadcast message is not triggered when the low-speed vehicle is located behind the medium-speed vehicle or the high-speed vehicle, thereby avoiding unnecessary waste of resources.

[0026] Further, the server further comprises a vehicle analysis module and a terminal broadcast module;

[0027] The vehicle analysis module is configured to identify the vehicle brand and the vehicle model according to the driving video, and identify the type of the vehicle intelligent terminal through a preset correspondence between the vehicle brand, the vehicle model and the type of the vehicle intelligent terminal.

[0028] The terminal broadcast module is configured to send a broadcast message to the vehicle-mounted intelligent terminal of the vehicle through an authorized third-party vehicle network server according to the type of the vehicle-mounted intelligent terminal.

[0029] The vehicle network refers to the network connection of vehicles through wireless communication technology, including vehicle-cloud platform, vehicle-vehicle, vehicle-road, etc., and the integration of in-vehicle network, inter-vehicle network and vehicle mobile Internet. With the help of wireless communication network and modern intelligent information processing technology, intelligent management of traffic is realized. At present, most vehicles are equipped with intelligent terminals. In the present application, the type of the vehicle-mounted intelligent terminal and its associated vehicle network server are identified, and the authorization of the third-party vehicle network server is extracted. After identifying the type of the vehicle-mounted intelligent terminal, the broadcast message is directly pushed to the vehicle-mounted intelligent terminal through the authorized third-party vehicle network server, thereby realizing direct broadcast prompt to the passengers in the vehicle.

[0030] Further, the server further comprises a long tunnel fatigue analysis module, a local analysis module and a fatigue relief module;

[0031] The long tunnel fatigue analysis module generates a fatigue relief section according to the length of the tunnel;

[0032] The local analysis module is configured to identify the license plate local of the vehicle in the fatigue relief section according to the driving video;

[0033] The fatigue relief module is configured to generate a fatigue relief broadcast message according to the license plate local of the vehicle in the fatigue relief section and the hot events in the license plate local;

[0034] The display screen is further configured to play the fatigue relief broadcast message.

[0035] Driving in a super-long tunnel will cause visual fatigue and other effects to the driver and passengers, and the closed environment in the tunnel also poses a certain risk to travel experience and safety. Therefore, it is necessary to improve the driving experience of the driver and passengers. According to the length of the tunnel, a fatigue relief section is generated, and the license plate local of the vehicle in the fatigue relief section is identified to obtain hot events in the license plate local for broadcast. The driver can hear the hot events in his hometown during driving, and the hot events in his hometown are played to the driver. In the long and boring tunnel driving process, the hot events in the driver's hometown are broadcast to the driver to stimulate the driver and relieve his visual fatigue. Generally, the hot events on the highway are the hot events in the city. In the present application, the driver is pushed the hot events in his hometown, which can quickly relieve the visual fatigue of the driver during driving through unexpected ways, and also can play a role in city promotion.

[0036] Further, the fatigue relief module is further used for, when the fatigue relief section identified by the attribute analysis module has multiple vehicle license plate attribute locations, generating a fatigue broadcast message according to a hot event of a license plate attribute location with the least number of vehicles.

[0037] When the identified license plate attribute location has multiple, the hot event of the license plate attribute location with the least number of vehicles is played. If there are more vehicles with the same license plate attribute location in a section, it means that the section is near the city of the license plate attribute location, and the vehicles with the same attribute location are local vehicles, and the fewer ones are out-of-town vehicles. For out-of-town vehicles, long-distance driving is more needed for fatigue relief. The local vehicles have a shorter driving time, have a lower demand for fatigue relief, and because the current section may still be near their attribute location, the hot event of their attribute location cannot have much effect on them, and instead, seeing the hot event of other areas in the local area can make them more unexpected, thereby relieving driving visual fatigue. Generally, when performing video pushing, the object with a wider audience in the pushing crowd is pushed, and in the present application, the object with a lower audience in the pushing crowd is pushed, which can more effectively relieve the fatigue of the driver during long-tunnel driving.

[0038] The application further discloses a tunnel driving safety management method, which comprises the following steps:

[0039] The state acquisition step comprises the following steps:

[0040] The vehicle classification step comprises the following steps:

[0041] The speed classification step comprises the following steps:

[0042] The section determination step comprises the following steps:

[0043] The road section analysis step is to identify whether there is a congestion road section in the tunnel according to the driving speed and driving video in the tunnel, and to determine the broadcast section where the congestion road section is located when the congestion road section exists.

[0044] The hierarchical control step is to generate different monitoring strategies and broadcast messages for vehicles of different levels according to the levels of the vehicles, and the tunnel perception device is also used to execute the monitoring strategies, and the tunnel broadcast device is used to execute the broadcast messages; the hierarchical management step includes the following steps:

[0045] The speed warning step is to send a first broadcast message to the display screen of the broadcast section where the low-speed vehicle is located, the first broadcast message including the driving speed of the medium-speed vehicle and the high-speed vehicle behind the broadcast section, the current broadcast section and the lane; and a second broadcast message is sent to the display screen of the broadcast section where the high-speed vehicle is located, the second broadcast message including the driving speed of the low-risk vehicle in front of the broadcast section, the current broadcast section and the lane;

[0046] The congestion warning step is to perform congestion broadcast prompt when the distance between the broadcast section where the low-speed vehicle is located and the broadcast section where the congestion road section is located is one broadcast section; when the distance between the broadcast section where the medium-speed vehicle is located and the broadcast section where the congestion road section is located is two broadcast sections, the congestion broadcast prompt is performed; when the distance between the broadcast section where the high-speed vehicle is located and the broadcast section where the congestion road section is located is three broadcast sections, the congestion broadcast prompt is performed.

[0047] Further, the following steps are further included:

[0048] The vehicle analysis step is to identify the vehicle brand, vehicle model and license plate number according to the driving video, and to identify the type of the vehicle-mounted intelligent terminal through the preset correspondence between the license plate brand, vehicle model and vehicle-mounted intelligent terminal type;

[0049] The terminal broadcast step is to send the broadcast message to the vehicle-mounted intelligent terminal of the vehicle through the authorized third-party Internet of Vehicles server according to the type of the vehicle-mounted intelligent terminal and the license plate number.

[0050] Further, the long tunnel fatigue analysis step is to generate a fatigue relief section according to the length of the tunnel;

[0051] The local analysis step is to identify the license plate of the vehicle in the fatigue relief section according to the driving video;

[0052] The fatigue relief step is to obtain the hot events of the license plate of the vehicle in the fatigue relief section according to the license plate of the vehicle in the fatigue relief section, and generate a fatigue relief broadcast message. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1A logic block diagram of one embodiment of the tunnel driving safety management system of the present application. DETAILED DESCRIPTION

[0054] The following is further described in detail through specific embodiments:

[0055] The embodiment is basically as shown in the accompanying drawings: Figure 1

[0056] A tunnel driving safety management system, comprising a server, a tunnel sensing device and a tunnel broadcasting device arranged in a monitored tunnel.

[0057] The state acquisition module is configured to acquire, in real time, driving data of vehicles in the monitored tunnel and road data in the tunnel through the tunnel sensing device. The specific sensing device includes a microwave vehicle detector, a video vehicle detector, and a coil type vehicle sensor. The microwave vehicle detector is used to detect the traffic flow in the tunnel, the video vehicle detector is used to shoot the driving video of the vehicle in the tunnel, and the coil type vehicle sensor is used to detect the driving speed of the vehicle in the tunnel. Specifically, in the present embodiment, a plurality of sensing devices are arranged in the tunnel, and a controller is arranged in the device. The output ends of the microwave vehicle detector, the video vehicle detector, and the coil type vehicle sensor are electrically connected to the input end of the controller. The output end of the controller is electrically connected to a communication module. In the present embodiment, the communication module is a 5G communication module. The communication module is network-connected to the server, and the detected traffic flow, driving video, and driving speed are uploaded to the server through the communication module.

[0058] The tunnel broadcasting device includes a text broadcasting device, which includes a plurality of display screens distributed in the tunnel. The tunnel is divided into a plurality of broadcasting sections according to the broadcasting range and location of the display screen. In the present embodiment, one display screen is arranged every 200 meters. The display screens are broadcasting sections between each other.

[0059] The vehicle classification module includes a speed classification module, which is configured to set a first speed threshold and a second speed threshold according to the traffic flow in the tunnel. Specifically, the smaller the traffic flow, the larger the first speed threshold and the second speed threshold, and the first speed threshold is smaller than the second speed threshold. According to the vehicle license plate recognized from the driving video, the vehicle with a driving speed lower than the first speed threshold is classified as a low-speed vehicle, the vehicle with a driving speed higher than the first speed threshold and lower than the second speed threshold is classified as a medium-speed vehicle, and the vehicle with a driving speed higher than the second speed threshold is classified as a high-speed vehicle. In the present embodiment, the first speed threshold is 60 km / h, and the second speed threshold is 80 km / h.

[0060] ​The hierarchical control module includes a speed warning module, the speed warning module is used for sending a first broadcast message to a display screen of a broadcast section where a low-speed vehicle is located, the first broadcast message including a driving speed of a medium-speed vehicle and a high-speed vehicle behind the broadcast section, a currently located broadcast section and a located lane. And sending a second broadcast message to a display screen of a broadcast section where a high-speed vehicle is located, the second broadcast message including a driving speed of a low-risk vehicle in front of the broadcast section, a currently located broadcast section and a located lane. The display screen is used for displaying the first broadcast message and the second broadcast message respectively through different display areas. For example, in a first broadcast section, a second broadcast section and a third broadcast section which are sequentially adjacent, the first broadcast section is located in front of the second broadcast section, the second broadcast section is located in front of the third broadcast section, there is a low-speed vehicle in the first broadcast section, and there are medium-speed vehicles and high-speed vehicles in the second broadcast section and the third broadcast section. Therefore, the first broadcast message is sent to the display screen in the first broadcast section, so that the display screen in the first broadcast section displays the driving speed of the medium-speed vehicles and the high-speed vehicles in the second broadcast section and the third broadcast section, the located broadcast section and the located lane. And the second broadcast message is sent to the display screens in the second broadcast section and the third broadcast section, so that the display screens in the second broadcast section and the third broadcast section display that there is a low-speed vehicle in the first broadcast section, and display the driving speed and the located lane of the low-speed vehicle in the first broadcast section.

[0061] The section analysis module is configured to identify whether there is a congestion section in the tunnel according to the driving speed and the driving image in the tunnel, and determine the broadcasting section where the congestion section is located when the congestion section exists. Specifically, in the embodiment, the section with a driving speed lower than 20 km / h is determined as the congestion section, and the broadcasting section where the congestion section is located is determined according to the driving image and the position of the tunnel sensing device where the last driving speed is lower than 20 km / h. The hierarchical control module includes a congestion warning module. When the broadcasting section where the low-speed vehicle is located and the broadcasting section where the congestion section is located are one broadcasting section apart, the congestion warning module is configured to perform a congestion broadcast prompt. When the broadcasting section where the medium-speed vehicle is located and the broadcasting section where the congestion section is located are two broadcasting sections apart, the congestion broadcast prompt is performed. When the broadcasting section where the high-speed vehicle is located and the broadcasting section where the congestion section is located are three broadcasting sections apart, the congestion broadcast prompt is performed. For example, in the first broadcasting section, the second broadcasting section, the third broadcasting section and the fourth broadcasting section which are sequentially adjacent, the first broadcasting section is located in front of the second broadcasting section, the second broadcasting section is located in front of the third broadcasting section, and the third broadcasting section is located in front of the fourth broadcasting section. When the congestion section exists in the first broadcasting section, the display screen in the second broadcasting section is used to prompt the low-speed vehicle to slow down when the low-speed vehicle is located in the second broadcasting section. The display screen in the third broadcasting section is used to prompt the medium-speed vehicle to slow down when the medium-speed vehicle is located in the third broadcasting section. The display screen in the fourth broadcasting section is used to prompt the high-speed vehicle to slow down when the high-speed vehicle is located in the fourth broadcasting section.

[0062] The vehicle analysis module is configured to identify the vehicle brand and the vehicle model according to the driving video, and identify the type of the vehicle-mounted intelligent terminal corresponding to the vehicle-mounted intelligent terminal according to the preset correspondence between the vehicle brand, the vehicle model and the type of the vehicle-mounted intelligent terminal. Specifically, most vehicles are currently equipped with intelligent terminals, and the types of the vehicle-mounted intelligent terminals created by different vehicle brands and vehicle models are different. The vehicle-mounted intelligent terminal communicates with the Internet of Vehicles server. Therefore, the vehicle analysis module identifies the type of the vehicle-mounted intelligent terminal according to the vehicle screen and the vehicle signal captured from the video, and identifies the type of the vehicle-mounted intelligent terminal according to the preset correspondence between the vehicle brand, the vehicle model and the type of the vehicle-mounted intelligent terminal. The type and the license plate number of the vehicle are used to determine the vehicle-mounted intelligent terminal which needs to be communicated. The third-party Internet of Vehicles server authorized in advance is used to send the broadcast message to the vehicle-mounted terminal of the vehicle. For example, when there is a low-speed vehicle in front of a high-speed vehicle, the vehicle-mounted terminal of the vehicle is used to broadcast that there is a low-speed vehicle in front of the high-speed vehicle, the driving speed of the low-speed vehicle and the lane where the low-speed vehicle is located.

[0063] Embodiment two

[0064] The difference between the embodiment and embodiment one is that the embodiment further comprises a long tunnel fatigue analysis module for producing fatigue relief sections according to the length of the tunnel. Driving in an ultra-long tunnel will bring visual fatigue and other effects to the driver and passengers, and the closed environment in the tunnel also poses certain risks to the travel experience and safety, so it is necessary to improve the driving experience of the driver and passengers. Generally speaking, visual fatigue will occur after driving in the tunnel for 3 minutes, and in the embodiment, a fatigue relief section is produced every 2.5 km.

[0065] The attribute analysis module is configured to identify the license plate attribute of the vehicle in the fatigue relief section according to the driving video. That is, the license plate attribute is identified according to the text in the license plate. For example, Gui A is Guiyang, and Yu A is Chongqing. After identifying the license plate attribute, the fatigue relief module is configured to obtain hot events in the license plate attribute of the vehicle in the fatigue relief section to generate fatigue relief video. Specifically, according to the attribute of the city, the hot events in the city are searched to generate fatigue relief messages, which are played through the display screen. In other embodiments of the application, to avoid distraction of some drivers caused by looking at the display screen, the tunnel broadcasting device further comprises an audio broadcasting device, which broadcasts the hot events or directly sends the hot events to the vehicle-mounted intelligent terminal.

[0066] The fatigue relief module is further configured to, when the attribute analysis module identifies multiple license plate attributes of the vehicle in the fatigue relief section, select hot events in the license plate attribute of the vehicle with the smallest number according to the number of vehicles with different license plate attributes to generate fatigue broadcast messages.

[0067] Specifically, for example, there are 5 vehicles in the fatigue relief section, 4 of which are Gui A and 1 of which is Zhe A. At this time, two license plate attributes are identified, and Zhe A is the attribute with the smaller number. The fatigue relief module selects the attribute with the smaller number, i.e. Zhe A, to obtain hot events in Zhejiang to generate fatigue relief messages for playing. Since there are many vehicles with the same license plate attribute on a certain section, it means that the section is close to the city with the attribute, and the vehicles with the attribute are also local license plates with a shorter departure time. The attribute with the smaller number is an out-of-town license plate, which has a longer driving time than the local license plate and has a greater need for fatigue relief. At the same time, the vehicles on the section are not far from home, so the hot events in the local area may not have an effect on them, and therefore the attribute with the smaller number of vehicles is selected to select hot events for pushing. The existing video pushing mechanism usually considers a large number of people to adapt to the pushing, but in the application, a small number of people are pushed to help drivers relieve fatigue in long tunnels.

[0068] The application also discloses a tunnel driving safety management method, which comprises the following steps.

[0069] The state acquisition step: acquiring the driving data of the vehicles in the tunnel and the road data in the tunnel in real time through the tunnel sensing device;

[0070] The vehicle classification step: classifying the vehicles driving in the tunnel according to the driving data, wherein the vehicle classification comprises low-speed vehicles, medium-speed vehicles and high-speed vehicles; the vehicle classification step comprises the following steps:

[0071] The speed classification step: setting the first speed threshold and the second speed threshold according to the traffic flow in the tunnel, and classifying the vehicles with the driving speed lower than the first speed threshold as low-speed vehicles, the vehicles with the driving speed higher than the first speed threshold and lower than the second speed threshold as medium-speed vehicles, and the vehicles with the driving speed higher than the second speed threshold as high-speed vehicles according to the vehicle license plates recognized from the driving video;

[0072] The section determination step: the tunnel broadcasting device comprises a text broadcasting device, the text broadcasting device comprises a plurality of display screens distributed in the tunnel, and the tunnel is divided into a plurality of broadcasting sections according to the broadcasting range and the position of the display screens;

[0073] The road section analysis step: identifying whether there is a congested road section in the tunnel according to the driving speed and the driving image in the tunnel, and determining the broadcasting section where the congested road section is located when the congested road section exists;

[0074] The classification management step: generating different monitoring strategies and broadcasting messages for vehicles of different classifications, the tunnel sensing device is further used for executing the monitoring strategies, and the tunnel broadcasting device is used for executing the broadcasting messages; the classification management step comprises the following steps:

[0075] The speed warning step: sending the first broadcasting message to the display screen of the broadcasting section where the low-speed vehicle is located, wherein the first broadcasting message comprises the driving speed of the medium-speed vehicle and the high-speed vehicle behind the broadcasting section, the current broadcasting section and the lane; and sending the second broadcasting message to the display screen of the broadcasting section where the high-speed vehicle is located, wherein the second broadcasting message comprises the driving speed of the low-risk vehicle in front of the broadcasting section, the current broadcasting section and the lane;

[0076] The congestion warning step: used for carrying out congestion broadcasting prompt when the distance between the broadcasting section where the low-speed vehicle is located and the broadcasting section where the congested road section is located is one broadcasting section, carrying out congestion broadcasting prompt when the distance between the broadcasting section where the medium-speed vehicle is located and the broadcasting section where the congested road section is located is two broadcasting sections, and carrying out congestion broadcasting prompt when the distance between the broadcasting section where the high-speed vehicle is located and the broadcasting section where the congested road section is located is three broadcasting sections.

[0077] Further comprising the following steps:

[0078] Vehicle analysis step: according to the driving video, identify the vehicle brand, vehicle model and license plate number, through the preset license plate brand, vehicle model and vehicle intelligent terminal type corresponding relationship to identify the type of vehicle intelligent terminal;

[0079] Terminal broadcast step: according to the type of vehicle intelligent terminal and license plate number, through the authorized third party Internet of vehicles server, send the broadcast message to the vehicle intelligent terminal of the vehicle.

[0080] Long tunnel fatigue analysis step: according to the length of the tunnel, generate fatigue relief section;

[0081] Territory analysis step, according to the driving video, identify the license plate of the vehicle in the fatigue relief section;

[0082] Fatigue relief step, according to the license plate of the vehicle in the fatigue relief section, obtain the hot events of its license plate territory to generate fatigue relief broadcast message.

[0083] The above is only an embodiment of the present application, and the common knowledge of the specific structure and characteristics in the scheme is not described in detail, the ordinary skilled in the art knows all the ordinary technical knowledge in the field of the application before the application date or the priority date, can know all the prior art in the field and has the ability to apply the conventional experimental means before the date, the ordinary skilled in the art can improve and implement the scheme under the inspiration of the present application, some typical known structure or known method should not be the obstacle for the ordinary skilled in the art to implement the present application. It should be pointed out that for those skilled in the art, without departing from the structure of the present application, a number of modifications and improvements can be made, which should be regarded as the protection scope of the present application, which will not affect the effect and practicality of the patent. The protection scope of the present application should be subject to the content of its claims, and the specific implementation mode in the specification can be used to explain the content of the claims.

Claims

1. A tunnel driving safety management method, characterized in that: The method comprises the following steps: A state acquisition step: acquiring real-time driving data of vehicles in the tunnel and road data in the tunnel through a tunnel sensing device; A vehicle classification step: classifying vehicles driving in the tunnel according to the driving data, wherein the vehicle classification comprises low-speed vehicles, medium-speed vehicles and high-speed vehicles; The vehicle classification step comprises the following steps: A speed classification step: setting a first speed threshold and a second speed threshold according to the traffic volume in the tunnel, and classifying vehicles with a driving speed lower than the first speed threshold as low-speed vehicles, classifying vehicles with a driving speed higher than the first speed threshold and lower than the second speed threshold as medium-speed vehicles, and classifying vehicles with a driving speed higher than the second speed threshold as high-speed vehicles according to the vehicle license plates identified from the driving video; A section determination step: the tunnel broadcasting device comprises a text broadcasting device comprising a plurality of display screens distributed in the tunnel, and the tunnel is divided into a plurality of broadcasting sections according to the broadcasting range and location of the display screens; A road section analysis step: identifying whether there is a congested road section in the tunnel according to the driving speed and driving video in the tunnel, and determining the broadcasting section where the congested road section is located when the congested road section exists; A classification management step: generating different monitoring strategies and broadcasting messages for vehicles of different classifications, and the tunnel sensing device is further used to execute the monitoring strategies, and the tunnel broadcasting device is used to execute the broadcasting messages; the classification management step comprises the following steps: A speed warning step: sending a first broadcasting message to the display screen of the broadcasting section where the low-speed vehicle is located, wherein the first broadcasting message comprises the driving speed of the medium-speed vehicle and the high-speed vehicle behind the broadcasting section, the current broadcasting section and the lane; and sending a second broadcasting message to the display screen of the broadcasting section where the high-speed vehicle is located, wherein the second broadcasting message comprises the driving speed of the low-risk vehicle in front of the broadcasting section, the current broadcasting section and the lane; A congestion warning step: used for congestion broadcasting prompt when the distance between the broadcasting section where the low-speed vehicle is located and the broadcasting section where the congested road section is located is one broadcasting section; used for congestion broadcasting prompt when the distance between the broadcasting section where the medium-speed vehicle is located and the broadcasting section where the congested road section is located is two broadcasting sections; and used for congestion broadcasting prompt when the distance between the broadcasting section where the high-speed vehicle is located and the broadcasting section where the congested road section is located is three broadcasting sections; The method further comprises the following steps: A vehicle analysis step: identifying the type of the vehicle-mounted intelligent terminal according to the vehicle brand, vehicle model and license plate number identified from the driving video through a preset correspondence between the license plate brand, vehicle model and vehicle-mounted intelligent terminal type; A terminal broadcasting step: sending the broadcasting message to the vehicle-mounted intelligent terminal of the vehicle through an authorized third-party vehicle networking server according to the type of the vehicle-mounted intelligent terminal and the license plate number; A long tunnel fatigue analysis step: generating a fatigue relief section according to the length of the tunnel; A local analysis step: identifying the license plate origin of the vehicle in the fatigue relief section according to the driving video; A fatigue relief step: generating a fatigue relief broadcasting message according to the hot events in the license plate origin of the vehicle in the fatigue relief section.

2. A tunnel driving safety management system applied to the tunnel driving safety management method of claim 1, characterized in that: The application relates to a tunnel monitoring system, which comprises a server, a tunnel sensing device and a tunnel broadcasting device. The server comprises a state acquisition module, a vehicle classification module and a classification control module. The state acquisition module is used for acquiring real-time driving data of vehicles in a tunnel and road data in the tunnel through the tunnel sensing device. The vehicle classification module is used for classifying vehicles in the tunnel according to the driving data, and the classification comprises low-speed vehicles, medium-speed vehicles and high-speed vehicles.

3. A tunnel vehicle safety management system according to claim 2, wherein: The classification control module is used for generating different monitoring strategies and broadcasting messages for vehicles of different classifications according to the classification of the vehicles. The tunnel sensing device comprises microwave vehicle detectors, video vehicle detectors and coil vehicle sensors arranged in the tunnel. The microwave vehicle detectors are used for detecting the traffic flow in the tunnel.

4. A tunnel vehicle safety management system according to claim 3, wherein: The video vehicle detectors are used for shooting driving videos of the vehicles in the tunnel. The coil vehicle sensors are used for detecting the driving speed of the vehicles in the tunnel. The vehicle classification module comprises a speed classification module. The speed classification module is used for setting a first speed threshold and a second speed threshold according to the traffic flow in the tunnel, and classifying vehicles with a driving speed lower than the first speed threshold as low-speed vehicles, classifying vehicles with a driving speed higher than the first speed threshold and lower than the second speed threshold as medium-speed vehicles, and classifying vehicles with a driving speed higher than the second speed threshold as high-speed vehicles. The tunnel broadcasting device comprises a text broadcasting device, which comprises a plurality of display screens distributed in the tunnel.

5. A tunnel vehicle safety management system according to claim 3, wherein: The display screens are divided into a plurality of broadcasting sections according to the broadcasting range and the position of the display screens. The classification control module comprises a speed warning module. The speed warning module is used for sending a first broadcasting message to the display screens in the broadcasting section where the low-speed vehicles are located, and the first broadcasting message comprises the driving speed of the medium-speed vehicles and the high-speed vehicles behind the low-speed vehicles, the current broadcasting section and the lane. The speed warning module is also used for sending a second broadcasting message to the display screens in the broadcasting section where the high-speed vehicles are located, and the second broadcasting message comprises the driving speed of the low-risk vehicles in front of the high-speed vehicles, the current broadcasting section and the lane. The display screens are used for displaying the first broadcasting message and the second broadcasting message in different display areas respectively. The server further comprises a road section analysis module, a vehicle analysis module and a braking analysis module. The road section analysis module is used for identifying whether there is a congested road section in the tunnel according to the driving speed and the driving image in the tunnel, and determining the broadcasting section of the congested road section when the congested road section exists. The classification control module comprises a congestion warning module. The congestion early warning module is configured to perform a congestion broadcast prompt when the distance between the broadcast section where the low-speed vehicle is located and the broadcast section where the congestion road section is located is one broadcast section, perform a congestion broadcast prompt when the distance between the broadcast section where the medium-speed vehicle is located and the broadcast section where the congestion road section is located is two broadcast sections, and perform a congestion broadcast prompt when the distance between the broadcast section where the high-speed vehicle is located and the broadcast section where the congestion road section is located is three broadcast sections.

6. A tunnel driving safety management system according to any one of claims 4, 5, wherein: The server further comprises a vehicle analysis module and a terminal broadcast module. The vehicle analysis module is configured to identify a vehicle brand, a vehicle model, and a license plate number according to a driving video, and identify a type of the vehicle-mounted intelligent terminal in a preset correspondence relationship between the license plate brand, the vehicle model, and the type of the vehicle-mounted intelligent terminal. The terminal broadcast module is configured to send a broadcast message to the vehicle-mounted intelligent terminal of the vehicle through an authorized third-party vehicle network server according to the type of the vehicle-mounted intelligent terminal and the license plate number.

7. A tunnel vehicle safety management system according to claim 6, wherein: The server further comprises a long-tunnel fatigue analysis module, a local analysis module, and a fatigue relief module. The long-tunnel fatigue analysis module is configured to generate a fatigue relief section according to a tunnel length. The local analysis module is configured to identify a license plate local of a vehicle in the fatigue relief section according to the driving video. The fatigue relief module is configured to generate a fatigue relief broadcast message according to a hot event of the license plate local of the vehicle in the fatigue relief section. The display screen is further configured to play the fatigue relief broadcast message.

8. A tunnel driving safety management system according to claim 7, wherein: The fatigue relief module is further configured to select a hot event of a license plate local with the least number of vehicles to generate a fatigue broadcast message when the local analysis module identifies multiple license plate locals of vehicles in the fatigue relief section.

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