CN114387785A - Safety management and control method and system based on intelligent highway and storable medium - Google Patents
Safety management and control method and system based on intelligent highway and storable medium Download PDFInfo
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Abstract
The invention discloses a safety management and control method, a system and a storage medium based on an intelligent road, relating to the technical field of intelligent roads and comprising the following steps: holographic sensing is carried out on the driving environment of the highway, the traffic running state and the surrounding environment information of the highway are collected and sent to a traffic control department; the traffic control department matches the traffic running state and the surrounding environment information with map data, acquires the traffic information based on the position, and judges whether each road section has traffic abnormality; and generating a traffic control scheme based on the vehicle position according to different judgment results, and sending prompt information to different vehicles and drivers according to the emergency degree. The intelligent highway safety management and control system can acquire enough data and comprehensively sense the highway, realizes safety management and control of the intelligent highway, and improves management efficiency and automation level.
Description
Technical Field
The invention relates to the technical field of intelligent roads, in particular to a safety management and control method and system based on an intelligent road and a storage medium.
Background
With the further development of innovation and the continuous acceleration of social meaning construction process, automobiles become the most common transportation means, and the problems of traffic congestion, traffic accident rescue, traffic management, environmental pollution, energy shortage and the like become common problems facing all countries in the world, so that strengthening the management of highway infrastructure becomes one of the extremely important works. With the further development of informatization, the combination of informatization management and highway management becomes a necessary trend, and the market scale of the intelligent highway industry in China will be continuously enlarged and the demand will be more and more increased in the future.
In recent years, the continuous development of electronic information technology brings great changes to the management and control of smart traffic, and new-generation digital technologies such as 5G, Internet of things, big data, cloud computing and artificial intelligence are continuously integrated into the business scene of the field of highway traffic, so that not only is a new technical connotation injected into the smart traffic, but also a great influence is generated on the development and concept of a smart traffic system. At present, the smart highway in China is built in new state, new mode, new technology and other aspects, and still has many challenges, such as: the data perception related to the highway is to be further improved, the intelligent high-speed transformation upgrade cannot leave 'big data', although the current highway informatization construction has abundant data, a lot of data about bridges, tunnels and the like are lost, so that the highway cannot be comprehensively perceived; in addition, the intelligent highway does not really form a comprehensive management and control network, the operation and maintenance and the control of the current highway equipment and system are still in a passive mode, and a comprehensive management and control network and an operation and maintenance platform are urgently needed to perform unified, efficient and automatic management and service.
Therefore, how to acquire enough data and comprehensively perceive the road, realize the safety control of the intelligent road, and improve the management efficiency and the automation level is a technical problem that needs to be solved urgently by technical personnel in the field.
Disclosure of Invention
In view of this, the invention provides a security management and control method, system and storage medium based on an intelligent road, which can acquire enough data and comprehensively sense the road, realize security management and control of the intelligent road, and improve management efficiency and automation level.
In order to achieve the purpose, the invention provides a safety control method based on an intelligent road, which comprises the following steps:
holographic sensing is carried out on the driving environment of the highway, and traffic running state and surrounding environment information are collected and sent to a traffic control department;
the traffic control department acquires the traffic information based on the position by combining the traffic running state and the surrounding environment information with the map data, and judges whether the traffic abnormality exists in each road section;
and generating a traffic control scheme based on the vehicle position according to different judgment results, and sending prompt information to different vehicles and drivers according to the emergency degree.
Optionally, the holographic sensing is performed on the driving environment of the highway, and the holographic sensing method specifically comprises the following steps:
arranging monitoring cameras at a certain distance on two sides of the highway, collecting monitoring videos in the coverage area of the monitoring cameras, and acquiring traffic incident information;
arranging a safety monitoring device at a traffic infrastructure including a bridge, a tunnel, a service area and a road driving section, and acquiring the speed and the flow of passing vehicles, the length of the tunnel, the length of the bridge and the information of the service area;
meteorological monitoring sensors are arranged on two sides of the highway at intervals and used for monitoring wind speed and direction, rainfall, temperature and humidity, solid particles and harmful gas within a hundred-meter range;
arranging a pressure sensor under a road surface to acquire road structure information including road use conditions and road damage conditions;
and collecting vehicle and user information by using the ETC antenna system, analyzing vehicle passing data, and acquiring traffic flow information of a road section to which the vehicle belongs.
Optionally, the traffic anomaly is traffic jam, and whether the traffic jam exists in each road segment is determined, which specifically includes the following steps:
arranging a road side unit and an on-board unit in the ETC antenna system, and establishing communication connection between the road side unit and the on-board unit;
collecting vehicle identity information of the vehicle-mounted unit in a communication range within a preset time interval by using the road side unit;
comparing the vehicle identity information acquired in the previous and subsequent times to acquire the number of vehicles with consistent vehicle identity information;
and when the number of the vehicles with the consistent vehicle identity information is larger than a preset value, judging that the road section has traffic jam.
Optionally, the traffic anomaly is a traffic accident, and whether the traffic accident exists in each road segment is determined, specifically including the following steps:
monitoring videos in the coverage range of the monitoring cameras are obtained through the monitoring cameras arranged on two sides of a highway at certain intervals and sent to a traffic control department;
processing images in the monitoring video by adopting an image difference method to obtain a foreground image;
processing the foreground image by using a canny edge detection algorithm to obtain the outer contour and the model of the vehicle;
comparing the acquired vehicle outline with the outline of the same vehicle model prestored in the database, and judging whether the outline changes;
and when the outer contour changes, judging that the road section has a traffic accident.
Optionally, the traffic anomaly is a construction operation area, and whether the construction operation area exists in each road segment is judged, which specifically includes the following steps:
the construction warning information is collected according to safety monitoring devices arranged at traffic infrastructures such as bridges, tunnels, service areas and highway traffic sections, and the position and construction influence range of a construction operation area are obtained;
acquiring a vehicle position and a vehicle track according to the vehicle navigation data;
and judging whether the position of the construction operation area and the construction influence range are overlapped with the track of the vehicle, and when the judgment result is that the position and the construction influence range are overlapped, determining that the road section where the vehicle is located has the construction operation area.
Optionally, when the traffic abnormality is the existence of a traffic accident and/or a construction work area, the method further includes:
the method is characterized in that a conical barrel is arranged around the area and in the direction of a vehicle coming from the area, an alarm used for sending an alarm signal after being impacted is arranged on the conical barrel, and when other vehicles suddenly enter the area, danger early warning is carried out on personnel in the area through the alarm.
Optionally, prompt information is sent to different vehicles and drivers, specifically:
sound prompt equipment and/or a light source alarm device are/is adopted to send alarm information to vehicles and drivers on the expressway; wherein, sound prompt device and light source alarm device include: safety prompter, luminous sign, solar energy flashing light, solar energy yellow flashing light, FM broadcasting and the like.
The invention also discloses a safety management and control system based on the intelligent road, which comprises the following components:
the information acquisition module is used for carrying out holographic perception on the driving environment of the highway, collecting the traffic running state and the surrounding environment information and sending the information to a traffic control department;
the road state judging module is used for matching the traffic running state and the surrounding environment information with map data, acquiring traffic information based on positions and judging whether each road section has traffic abnormity;
and the management and control scheme generating module is used for generating traffic management and control schemes based on different vehicle positions according to different judgment results and sending prompt information to different vehicles and drivers according to the emergency degree.
Optionally, the information acquisition module includes a monitoring camera, a safety monitoring device, a meteorological monitoring sensor, a pressure sensor, and an ETC antenna system;
the monitoring cameras are arranged on two sides of the highway at intervals and used for collecting monitoring videos in the coverage area of the highway and acquiring traffic incident information;
the safety monitoring device is arranged at traffic infrastructure such as bridges, tunnels, service areas, highway driving road sections and the like and is used for acquiring the speed and the flow of passing vehicles, the tunnel length, the bridge length and the service area information;
the weather monitoring sensor is powered by solar energy and is used for monitoring wind speed and direction, rainfall, temperature and humidity, solid particles and harmful gases within a hundred-meter range;
the pressure sensor is arranged under the road surface and used for acquiring road structure information including road use conditions and road damage conditions;
the ETC antenna system is used for collecting vehicle and user information, analyzing vehicle passing data and obtaining traffic flow information of a road section to which the vehicle belongs.
The invention also discloses a computer storage medium, on which a computer program is stored, characterized in that the computer program realizes the steps of the above safety control method when being executed by a processor.
According to the technical scheme, compared with the prior art, the safety control method and system based on the intelligent road and the storable data can obtain various traffic related data information including traffic event information, traffic infrastructure information, meteorological environment information, road structure information and traffic flow information, judge the road state of the road section where the vehicle is located on the basis, determine whether traffic jam, traffic accidents or construction operation areas exist in the road section or not by combining the running track of the vehicle, send prompt information to a vehicle driver in advance to enable the vehicle driver to pay attention to driving safety, standardize driving behaviors, realize safety control of the intelligent road, and improve management efficiency and automation level; in addition, the conical barrel is arranged in the area around the traffic accident or construction operation area, the alarm capable of sending alarm information after being impacted is arranged on the conical barrel, and when other vehicles suddenly break into the area, danger alarm information can be sent to personnel in the area to remind the personnel of avoiding the traffic accident or the construction operation area in time.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart of a safety control method according to the present invention;
FIG. 2 is a schematic structural diagram of the safety management and control system of the present invention;
fig. 3 is a schematic diagram of the information acquisition module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment of the invention discloses a safety management and control method based on an intelligent road, which comprises the following steps as shown in figure 1:
holographic sensing is carried out on a driving section of the highway, and traffic running states and surrounding environment information are collected and sent to a traffic control department; specifically, the collected traffic operation state and surrounding environment information includes traffic event information, traffic infrastructure information, weather environment information, road structure information, traffic flow information, and the like; the meteorological environment information comprises wind speed and direction, rainfall, temperature and humidity, solid particles, harmful gases, visibility, road surface state and the like; the traffic infrastructure information comprises tunnel length, bridge length, service area information, ramp distance and the like;
the traffic control department acquires the traffic information based on the position by combining the traffic running state and the surrounding environment information with the map data, and judges whether the traffic abnormality exists in each road section;
and generating a traffic control scheme based on different vehicle positions according to different judgment results, and sending prompt information to different vehicles and drivers according to the emergency degree.
In addition, the first speed limit threshold values of different vehicle types can be determined by comprehensively considering meteorological environment information and road structure information; determining second speed limit threshold values of different vehicle types according to the traffic flow information and the traffic event information; and acquiring speed limit threshold values of different vehicle types as normal speed limit values according to the command scheduling information.
Further, holographic perception is carried out to highway driving environment, and the method specifically comprises the following steps:
arranging monitoring cameras at a certain distance on two sides of the highway, collecting monitoring videos in the coverage area of the monitoring cameras, and acquiring traffic incident information;
arranging a safety monitoring device at a traffic infrastructure including a bridge, a tunnel, a service area and a road driving section, and acquiring the speed and the flow of passing vehicles, the length of the tunnel, the length of the bridge and the information of the service area;
meteorological monitoring sensors are arranged on two sides of the highway at intervals and used for monitoring wind speed and direction, rainfall, temperature and humidity, solid particles and harmful gas within a hundred-meter range;
arranging a pressure sensor under a road surface to acquire road structure information including road use conditions and road damage conditions;
and collecting vehicle and user information by using the ETC antenna system, analyzing vehicle passing data, and acquiring traffic flow information of a road section to which the vehicle belongs.
Firstly, when the traffic abnormality is traffic jam, judging whether the traffic jam exists in each road section, and specifically comprising the following steps:
the method comprises the steps that a roadside unit and an on-board unit are arranged in an ETC antenna system, the roadside unit is arranged right above an ETC lane, the on-board unit is installed on the inner side of a vehicle windshield, and communication connection is established between the roadside unit and the on-board unit based on a DSRC protocol;
collecting vehicle identity information of a vehicle-mounted unit in a communication range within a preset time interval by using a road side unit;
comparing the vehicle identity information acquired in the previous and subsequent times to acquire the number of vehicles with consistent vehicle identity information;
and when the number of the vehicles with consistent vehicle identity information is larger than a preset value, judging that the road section has traffic jam.
Secondly, when the traffic abnormality is a traffic accident, judging whether the traffic accident exists in each road section, and specifically comprising the following steps:
monitoring videos in the coverage range of the monitoring cameras are obtained through the monitoring cameras arranged on two sides of a highway at certain intervals and sent to a traffic control department;
processing images in the monitoring video by adopting an image difference method to obtain a foreground image; image difference is to subtract corresponding pixel values of two images to weaken the similar part of the image and highlight the changed part of the image, and the contour of a moving target can be often detected based on the difference image;
processing the foreground image by using a canny edge detection algorithm to obtain the outer contour and the model of the vehicle;
comparing the acquired vehicle outline with the outline of the same vehicle model prestored in the database, and judging whether the outline changes;
when the outer contour changes, the traffic accident exists in the road section.
Specifically, the specific steps of using the canny edge detection algorithm are as follows:
(1) smoothing the image by adopting Gaussian filtering to remove noise;
(2) acquiring gradient strength in an image;
the gradient direction is that the gray intensity in the image changes most intensely, and the gradient of each pixel point in the smoothed image is obtained through a Sobel operator;
(3) adopting non-maximum suppression technology to eliminate side false detection, keeping the maximum value of the gradient intensity on each pixel point and deleting other values, and the specific operation on each pixel point is as follows: approximating its gradient direction to one of (0 °,45 °,90 °,135 °,180 °,225 °,270 °,315 °); comparing the gradient strength of the pixel point with the gradient strength of other pixel points in the gradient direction of the pixel point, if the gradient strength of the pixel point is maximum, retaining, and if not, deleting;
(4) determining possible boundaries by a double-threshold method, setting an upper threshold and a summer sister threshold, regarding a pixel point in the image as a boundary (strong boundary) if the pixel point is larger than the upper threshold, regarding the pixel point as a boundary if the pixel point is smaller than the lower threshold, regarding the pixel point as a non-boundary, regarding the pixel point as a candidate (weak boundary), and further processing the candidate;
(5) the boundaries are tracked using a hysteresis technique, i.e. weak boundaries connected to strong boundaries are considered as boundaries and other weak boundaries are suppressed.
Further, when the traffic abnormality is a construction operation area, whether the construction operation area exists in each road section is judged, specifically:
the construction warning information is collected according to safety monitoring devices arranged at traffic infrastructures such as bridges, tunnels, service areas and highway traffic sections, and the position and construction influence range of a construction operation area are obtained;
acquiring a vehicle position and a vehicle track according to the vehicle navigation data;
and judging whether the position of the construction operation area and the construction influence range are overlapped with the track of the vehicle, and when the judgment result is that the position and the construction influence range are overlapped, determining that the road section where the vehicle is located has the construction operation area.
Further, when the traffic abnormality is a traffic accident and/or a construction work area, the method further includes:
the method is characterized in that a conical barrel is arranged around the area and in the direction of a vehicle coming from the area, an alarm used for sending an alarm signal after being impacted is arranged on the conical barrel, and when other vehicles suddenly enter the area, danger early warning is carried out on personnel in the area through the alarm.
Further, the prompt information is sent to different vehicles and drivers, and specifically comprises the following steps:
sound prompt equipment and/or a light source alarm device are/is adopted to send alarm information to vehicles and drivers on the expressway; wherein, sound prompt device and light source alarm device include: safety prompter, luminous sign, solar energy flashing light, FM broadcast, solar energy yellow flashing light, etc.
In addition, when traffic abnormality occurs, the traffic problem can be solved by adopting methods such as main line control, path guidance control, ramp control and the like, and the specific method is as follows:
(1) selecting the optimal speed according to the basic information of people, vehicles and roads running on the road section, and implementing speed control on the expressway according to means such as variable information signs and the like;
(2) lane control (lane closing control, reversible lane): when an emergency traffic accident occurs or a construction operation area exists, a lane is closed to prohibit a driver from entering or exiting a certain lane of the highway; solving tidal phenomena during highway rush hours by means of reversible lanes;
(3) according to the traffic state information collected in real time, the destinations of vehicles driving or about to enter a road network are summarized, an optimal driving route is provided for a driver, and the traffic on a congested road is divided to a road section with surplus road capacity;
(4) entrance ramp control: by limiting the traffic volume entering the main line, the traffic demand of the expressway does not exceed the traffic capacity, and the main line traffic is in the optimal state.
The embodiment of the invention also discloses a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the safety control method are realized.
Example 2
The embodiment of the invention discloses a safety management and control system based on an intelligent road, which is shown in figure 2 and comprises the following components:
the information acquisition module is used for carrying out holographic sensing on a driving road section of the highway, collecting traffic running states and surrounding environment information and sending the information to a traffic control department;
the road state judging module is used for matching the traffic running state and the surrounding environment information with the map data, acquiring the traffic information based on the position and judging whether the traffic abnormality exists in each road section;
and the management and control scheme generation module generates traffic management and control schemes based on different vehicle positions according to different judgment results, and sends prompt information to different vehicles and drivers according to the emergency degree so as to realize one-key alarm and one-key rescue.
Referring to fig. 3, the information acquisition module includes a monitoring camera, a safety monitoring device, a meteorological monitoring sensor, a pressure sensor, and an ETC antenna system;
the monitoring cameras are arranged on two sides of the highway at intervals and used for collecting monitoring videos in the coverage area of the highway and acquiring traffic incident information;
the safety monitoring device is arranged at traffic infrastructure such as bridges, tunnels, service areas, highway traffic sections and the like and is used for acquiring the speed and the flow of passing vehicles and the information of the tunnel length, the bridge length and the service areas;
the meteorological monitoring sensor is powered by solar energy and is used for monitoring wind speed and direction, rainfall, temperature and humidity, solid particles and harmful gases within a hundred-meter range;
the pressure sensor is arranged under the road surface and used for acquiring road structure information including road use conditions and road damage conditions;
the ETC antenna system is used for collecting vehicle and user information, analyzing vehicle passing data and obtaining traffic flow information of a road section to which the vehicle belongs. The ETC antenna system comprises an on-board unit (OBU) and a Road Side Unit (RSU), and communication connection between the OBU and the RSU is established based on a DSRC protocol.
In addition, the ETC can solve the problem of busy toll on the highway, has great benefits for solving traffic jam, and can narrow the range of searching the vehicle track with the electronic tag by acquiring the ETC information of the toll station; the website exchange service information can feed back the information of the client and the integrity of the user; the system can be combined with a GPS and a GIS, so that the efficiency and the level of highway traffic management and service are improved, and the dynamic track of a customer is searched.
Through the technical scheme, the method and the system can acquire various traffic related data information including traffic incident information, traffic infrastructure information, meteorological environment information, road structure information and traffic flow information, judge the road state of the road section where the vehicle is located on the basis, determine whether the road section has traffic jam, traffic accidents or construction operation areas or not by combining the driving track of the vehicle, and send prompt information to a vehicle driver in advance to enable the vehicle driver to pay attention to driving safety, realize safety control of the intelligent road, and improve management efficiency and automation level.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A safety management and control method based on an intelligent road is characterized by comprising the following steps:
holographic sensing is carried out on the driving environment of the highway, and traffic running state and surrounding environment information are collected and sent to a traffic control department;
the traffic control department acquires the traffic information based on the position by combining the traffic running state and the surrounding environment information with the map data, and judges whether the traffic abnormality exists in each road section;
and generating a traffic control scheme based on the vehicle position according to different judgment results, and sending prompt information to different vehicles and drivers according to the emergency degree.
2. The intelligent highway-based safety management and control method as claimed in claim 1, wherein holographic sensing of highway driving environment comprises the following steps:
arranging monitoring cameras at a certain distance on two sides of the highway, collecting monitoring videos in the coverage area of the monitoring cameras, and acquiring traffic incident information;
arranging a safety monitoring device at a traffic infrastructure including a bridge, a tunnel, a service area and a road driving section, and acquiring the speed and the flow of passing vehicles, the length of the tunnel, the length of the bridge and the information of the service area;
meteorological monitoring sensors are arranged on two sides of the highway at intervals and used for monitoring wind speed and direction, rainfall, temperature and humidity, solid particles and harmful gas within a hundred-meter range;
arranging a pressure sensor under a road surface to acquire road structure information including road use conditions and road damage conditions;
and collecting vehicle and user information by using the ETC antenna system, analyzing vehicle passing data, and acquiring traffic flow information of a road section to which the vehicle belongs.
3. The intelligent road-based safety management and control method according to claim 2, wherein the traffic anomaly is traffic jam, and whether the traffic jam exists in each road section is judged, specifically comprising the following steps:
arranging a road side unit and an on-board unit in the ETC antenna system, and establishing communication connection between the road side unit and the on-board unit;
collecting vehicle identity information of the vehicle-mounted unit in a communication range within a preset time interval by using the road side unit;
comparing the vehicle identity information acquired in the previous and subsequent times to acquire the number of vehicles with consistent vehicle identity information;
and when the number of the vehicles with the consistent vehicle identity information is larger than a preset value, judging that the road section has traffic jam.
4. The intelligent road-based safety management and control method according to claim 2, wherein the traffic abnormality is a traffic accident, and whether the traffic accident exists in each road section is judged, specifically comprising the following steps:
monitoring videos in the coverage range of the monitoring cameras are obtained through the monitoring cameras arranged on two sides of a highway at certain intervals and sent to a traffic control department;
processing images in the monitoring video by adopting an image difference method to obtain a foreground image;
processing the foreground image by using a canny edge detection algorithm to obtain the outer contour and the model of the vehicle;
comparing the acquired vehicle outline with the outline of the same vehicle model prestored in the database, and judging whether the outline changes;
and when the outer contour changes, judging that the traffic accident exists in the road section.
5. The intelligent road-based safety management and control method according to claim 2, wherein the traffic abnormality is a construction work area, and whether the construction work area exists in each road section is judged, specifically comprising the following steps:
according to a safety monitoring device arranged at a traffic infrastructure position including a bridge, a tunnel, a service area and a highway driving section, construction warning information is collected, and the position of a construction operation area and the construction influence range are obtained;
acquiring a vehicle position and a vehicle track according to the vehicle navigation data;
and judging whether the position of the construction operation area and the construction influence range are overlapped with the track of the vehicle, and when the judgment result is that the position and the construction influence range are overlapped, determining that the road section where the vehicle is located has the construction operation area.
6. The intelligent road-based safety control method according to claim 1, wherein when the traffic abnormality is a traffic accident and/or a construction work area, the method further comprises:
the method is characterized in that a conical barrel is arranged around the area and in the direction of a vehicle coming from the area, an alarm used for sending an alarm signal after being impacted is arranged on the conical barrel, and when other vehicles suddenly enter the area, danger early warning is carried out on personnel in the area through the alarm.
7. The intelligent road-based safety management and control method according to claim 1, wherein prompt messages are sent to different vehicles and drivers, specifically:
sound prompt equipment and/or a light source alarm device are/is adopted to send alarm information to vehicles and drivers on the expressway; wherein, sound prompt device and light source alarm device include: safety prompter, luminous sign, solar energy flashing light, solar energy yellow flashing light, FM broadcasting.
8. The utility model provides a safety management and control system based on wisdom highway which characterized in that includes:
the information acquisition module is used for carrying out holographic perception on the driving environment of the highway, collecting the traffic running state and the surrounding environment information and sending the information to a traffic control department;
the road state judging module is used for matching the traffic running state and the surrounding environment information with map data, acquiring traffic information based on positions and judging whether each road section has traffic abnormity;
and the management and control scheme generating module is used for generating traffic management and control schemes based on different vehicle positions according to different judgment results and sending prompt information to different vehicles and drivers according to the emergency degree.
9. The intelligent highway-based safety management and control system according to claim 8, wherein the information acquisition module comprises a monitoring camera, a safety monitoring device, a meteorological monitoring sensor, a pressure sensor and an ETC antenna system;
the monitoring cameras are arranged on two sides of the highway at intervals and used for collecting monitoring videos in the coverage area of the highway and acquiring traffic incident information;
the safety monitoring device is arranged at a traffic infrastructure comprising a bridge, a tunnel, a service area and a road driving section and is used for acquiring the speed and the flow of passing vehicles, the length of the tunnel, the length of the bridge and the information of the service area;
the weather monitoring sensor is powered by solar energy and is used for monitoring wind speed and direction, rainfall, temperature and humidity, solid particles and harmful gases within a hundred-meter range;
the pressure sensor is arranged under the road surface and used for acquiring road structure information including road use conditions and road damage conditions;
the ETC antenna system is used for collecting vehicle and user information, analyzing vehicle passing data and obtaining traffic flow information of a road section to which the vehicle belongs.
10. A computer-storable medium having a computer program stored thereon, wherein the computer program, when being executed by a processor, carries out the steps of the security management method according to any of the claims 1-7.
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| CN117492454A (en) * | 2024-01-03 | 2024-02-02 | 中建科工集团智慧停车科技有限公司 | Unmanned vehicle control method, device, equipment and medium based on intelligent rod |
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