CN114463970B - Method, device and equipment for automatically detecting bayonet closure and storage medium - Google Patents
Method, device and equipment for automatically detecting bayonet closure and storage medium Download PDFInfo
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- CN114463970B CN114463970B CN202210028411.6A CN202210028411A CN114463970B CN 114463970 B CN114463970 B CN 114463970B CN 202210028411 A CN202210028411 A CN 202210028411A CN 114463970 B CN114463970 B CN 114463970B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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Abstract
The application discloses a method, a device, equipment and a storage medium for automatically detecting bayonet closure, wherein the method comprises the following steps: calculating real-time traffic flow of a road in a gate area according to the track data of the vehicle; judging whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the real-time traffic flow meets the closed road traffic flow condition, determining that a checkpoint is suspected to be closed; acquiring driving characteristic data of vehicles in a suspected closed area; and judging whether the driving characteristic data meets a preset closed road driving characteristic condition, and if so, determining that the bayonet is closed. According to the method for automatically detecting the bayonet closure, the bayonet closure condition of the road can be detected in real time based on the track data of the vehicle, and the vehicle owner is prompted to detour, so that the trip experience is improved, and the road congestion is relieved.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a method, a device, equipment and a storage medium for automatically detecting bayonet closure.
Background
Road closure is caused by road maintenance, control and other reasons, which brings inconvenience to daily travel, and traffic flow of vehicles on adjacent roads rapidly rises, causing traffic jam and causing vicious circulation of traffic conditions.
In the prior art, the closure notice is usually only pasted on a closed road gate or informed by traffic broadcast, media and other forms, so that a driver cannot acquire closure information in real time at the first time, and great inconvenience is brought to the driver in traveling.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for automatically detecting bayonet closure. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, an embodiment of the present application provides a method for automatically detecting bayonet closure, including:
calculating real-time traffic flow of a road in a gate area according to the track data of the vehicle;
judging whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the real-time traffic flow meets the closed road traffic flow condition, determining that the road is suspected to be closed;
acquiring driving characteristic data of vehicles in a suspected closed area;
and judging whether the driving characteristic data meets the preset closed road driving characteristic conditions or not, and if so, determining that the bayonet is closed.
In an optional embodiment, calculating the real-time traffic flow of the road in the intersection area according to the trajectory data of the vehicle comprises:
taking the position of the bayonet as a starting point, and extending a preset distance along the road direction to obtain a road section which is the road to which the bayonet belongs;
taking the position of the bayonet as the center of a circle, and acquiring an accessory road with a road section outside the accessory road within a preset radius as the bayonet;
obtaining a road of the bayonet area according to the road and the accessory road of the bayonet;
road network matching is carried out on the track data of the vehicle and the map data to obtain track data containing road information;
and obtaining the real-time traffic flow of the road in the intersection area according to the matching relation between the track data containing the road information and the road in the intersection area.
In an optional embodiment, further comprising:
marking vehicles with the driving directions from the auxiliary road to the road as an ascending ramp;
and marking the vehicles with the driving directions from the belonged road to the auxiliary road as the down ramp.
In an optional embodiment, the determining whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the real-time traffic flow meets the closed road traffic flow condition, determining that the checkpoint is suspected to be closed includes:
judging whether the traffic flow from the auxiliary road to the affiliated road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time;
if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the lapse of time, determining that the ramp direction on the bayonet is suspected to be closed;
judging whether the traffic flow from the road to the auxiliary road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time;
and if the historical traffic flow is less than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time, determining that the direction of the ramp below the bayonet is suspected to be closed.
In an optional embodiment, the determining whether the driving characteristic data meets a preset closed road driving characteristic condition, and if the driving characteristic data meets the closed road driving characteristic condition, determining that the bayonet is closed includes:
if the acceleration of the vehicles is reduced all the time when the vehicles with the number larger than or equal to the preset number reach the position of the gate from the affiliated road, the vehicles do not reach the affiliated road when the acceleration is minimum, and then the acceleration is increased and the vehicles run on the affiliated road, the direction of the ramp on the gate is determined to be closed;
and if the acceleration of the vehicles is reduced all the time when the vehicles with the number larger than or equal to the preset number reach the position of the gate from the road to which the vehicles belong, the vehicles do not reach the auxiliary road when the acceleration is minimum, and then the vehicles increase in acceleration and run on the road to which the vehicles belong, the direction of the ramp-down direction of the gate is determined to be closed.
In an optional embodiment, further comprising:
and pushing the closing information of the bayonet to the vehicle-mounted terminal.
In a second aspect, an embodiment of the present application provides an apparatus for automatically detecting bayonet closure, including:
the calculation module is used for calculating the real-time traffic flow of the road in the checkpoint area according to the track data of the vehicle;
the first judgment module is used for judging whether the real-time traffic flow meets a preset closed road traffic flow condition or not, and if the real-time traffic flow meets the closed road traffic flow condition, determining that the checkpoint is suspected to be closed;
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring driving characteristic data of vehicles in a suspected closed area;
and the second judgment module is used for judging whether the driving characteristic data meets the preset closed road driving characteristic conditions or not, and if the driving characteristic data meets the closed road driving characteristic conditions, determining that the bayonet is closed.
In an optional embodiment, further comprising:
and the message pushing module is used for pushing the closing information of the bayonet to the vehicle-mounted terminal.
In a third aspect, an embodiment of the present application further provides an apparatus for automatically detecting bayonet closure, including a processor and a memory storing program instructions, where the processor is configured to execute the method for automatically detecting bayonet closure provided in the foregoing embodiment when executing the program instructions.
In a fourth aspect, the present application provides a computer readable medium, on which computer readable instructions are stored, the computer readable instructions being executed by a processor to implement a method for automatically detecting bayonet closure provided in the foregoing embodiments.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the method for automatically detecting the blocking of the blocking port, the traffic flow of the road in the blocking port area is analyzed based on the track data reported by the vehicle machine, and whether the blocking port is blocked or not is accurately detected by combining the traffic flow characteristics and the driving characteristic data of the vehicle. The closed bayonet can be accurately found in real time, and bayonet closed information is pushed to the car machine terminal. The travel experience is improved, decision support is provided for travel route planning, and the travel is avoided being left. And the method does not increase road traffic hardware and labor cost, and has strong maintainability.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow diagram illustrating a method for automatically detecting a bayonet closure in accordance with an exemplary embodiment;
FIG. 2 is a schematic diagram illustrating a method of automatically detecting bayonet closure in accordance with an exemplary embodiment;
FIG. 3 is a schematic diagram illustrating an apparatus for automatically detecting bayonet closure in accordance with an exemplary embodiment;
FIG. 4 is a schematic diagram illustrating an apparatus for automatically detecting bayonet closure in accordance with an exemplary embodiment;
FIG. 5 is a schematic diagram illustrating a computer storage medium in accordance with an exemplary embodiment.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all 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.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of systems and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The method for automatically detecting the bayonet closure according to the embodiment of the present application will be described in detail below with reference to the accompanying drawings. Referring to fig. 1, the method specifically includes the following steps.
S101, calculating real-time traffic flow of the road in the intersection area according to the track data of the vehicles.
In a possible implementation manner, a bayonet portrait is first constructed, and data such as longitude and latitude, bayonet name and the like of the position where the bayonet is located are obtained. Then, by combining the map data, with the position of the intersection as a starting point, a road segment obtained by extending a preset distance in the road direction is taken as an affiliated road of the intersection, for example, a road sign extending for 2 kilometers in the road direction is taken as the affiliated road, and a road link, an altitude of the road, a road width and a road center line are obtained. And further, taking the affiliated road as a reference, drawing a circle by taking the longitude and latitude of the bayonet as the center of the circle and the length radius of 2 kilometers according to the road connectivity principle, and defining other connected roads in the circle as the affiliated road to acquire the link information of the affiliated road, the elevation height of the road, the road width and the road center line. And obtaining the road of the bayonet area according to the road and the accessory road of the bayonet.
In one possible implementation manner, the method further includes: and marking the vehicles from the road to the affiliated road with the driving direction as the upper ramp and marking the vehicles from the road to the affiliated road with the driving direction as the lower ramp.
And further, road network matching is carried out on the track data of the vehicle and the map data to obtain track data containing road information, and the real-time traffic flow of the road in the intersection area is obtained according to the matching relation between the track data containing the road information and the road in the intersection area.
Specifically, the method for acquiring the position data reported by the vehicle machine comprises the following steps: vehicle id, GPS positioning time, GPS positioning speed, GPS positioning longitude, GPS positioning latitude and altitude. Incorporating map data including: road link, road coverage latitude and longitude, road name, road elevation. And carrying out road network matching on the vehicle track, and constructing the relation between the vehicle track position point and the road. For example, the similarity between the driving track and the road is calculated through the vertical distance between the longitude and latitude of the vehicle reporting point and the longitude and latitude of the central line of the road, and the current driving road is obtained if the similarity is 90% or more. Wherein, the similarity formula is as follows: the number of similar points/total number of points (total number of points reported when entering the judgment area), in a possible implementation manner, the points reported and the points whose road vertical distance is less than or equal to the road width are similar points.
And after the road information of the vehicle running track is obtained, obtaining the vehicle id, the GPS positioning time, the GPS positioning speed, the GPS positioning longitude, the GPS positioning latitude, the road link and the road name, wherein the data is called track data containing the road information, and the track data containing the road information after the road network matching is stored. By matching the altitude information of the vehicle with the altitude information of the road, the road where the vehicle is located under the condition of the three-dimensional traffic network can be accurately identified.
Further, by taking the road link as a key, matching the road data in the intersection region with the track data containing the road information, filtering out unmatched data, and obtaining data, namely the driving condition data of the vehicle near the intersection, specifically: the system comprises a gate name, gate longitude and latitude, an affiliated road link set, a vehicle id, GPS positioning time, GPS positioning speed, GPS positioning longitude, GPS positioning latitude, a road link and a road name. And dividing the matched data according to a 10-minute reference so as to obtain the traffic flow of each section of the road in the intersection area in every 10 minutes.
In a possible implementation manner, the matching data may also be divided according to a 15-minute reference, so as to obtain the traffic flow of each section of the road in the intersection region in every 15 minutes.
S102, judging whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the real-time traffic flow meets the closed road traffic flow condition, determining that the checkpoint is suspected to be closed.
In an optional embodiment, whether the traffic flow from the auxiliary road to the road is smaller than the historical traffic flow in the same time period or not is judged, and the real-time traffic flow tends to zero along with the time; if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the lapse of time, determining that the ramp direction on the bayonet is suspected to be closed; judging whether the traffic flow from the road to the auxiliary road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time; and if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time lapse, determining that the direction of the ramp on the lower side of the bayonet is suspected to be closed.
Specifically, by the method of the step S101, the traffic flow of the historical three months and the same time period is analyzed as the historical traffic flow, then the obtained real-time traffic flow is compared with the historical traffic flow, whether the traffic flow from the road to which the road belongs to the successive approach is smaller than the historical traffic flow of the same time period or not is judged, and the real-time traffic flow tends to zero as time goes on; if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time, determining that the ramp direction on the bayonet is suspected to be closed; judging whether the traffic flow from the road to the auxiliary road in the sequential path is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time; and if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time lapse, determining that the direction of the ramp on the lower side of the bayonet is suspected to be closed.
S103, obtaining driving feature data of the vehicle in the suspected closed area.
In one possible implementation, acceleration data, trajectory data, weather data, and the like of the vehicle traveling into the suspected closure area may be obtained.
S104, judging whether the driving characteristic data meet the preset closed road driving characteristic conditions or not, and if so, determining that the bayonet is closed.
In a possible implementation manner, if the acceleration is reduced all the time when the vehicles which are greater than or equal to the preset number pass through the accessory road to the position of the bayonet, the vehicle does not drive to the accessory road at the moment corresponding to the minimum value of the acceleration, the acceleration is increased immediately and the vehicle drives on the accessory road, and the direction of the ramp on the bayonet is determined to be closed.
And if the acceleration is reduced all the time when the roads to which the vehicle paths are greater than or equal to the preset number of the vehicles belong to the positions of the bayonets, the vehicle does not drive to the affiliated road at the moment corresponding to the minimum value of the acceleration, the acceleration is increased immediately and the vehicle drives to the affiliated road, and the direction of the ramp below the bayonets is determined to be closed.
The preset number can be set by referring to historical synchronous traffic flow, and the embodiment of the application is not particularly limited.
In an optional embodiment, the blocking port blocking probability can be calculated according to the real-time traffic flow, the number of vehicles turning around at the blocking port and the weather condition, and if the blocking port blocking probability is larger than a preset probability threshold, blocking port blocking is determined. The value of the preset probability threshold is not specifically limited, and can be set according to the actual situation.
Specifically, if the real-time traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the lapse of time, the real-time traffic flow factor is 10 minutes, if the traffic flow condition is not satisfied, the real-time traffic flow factor is 2 minutes, if the weather condition is extreme weather such as heavy fog, heavy snow, sand storm, etc., the weather factor is 10 minutes, and if the weather condition is other good weather, the weather factor is 5 minutes. And calculating the bayonet closure probability according to the following formula:
real-time traffic flow factor α + weather factor β + number of vehicles turning around at bayonet × γ = P
Wherein, P is the bayonet closure probability, and alpha, beta and gamma are coefficients which can be set according to the actual situation.
According to the implementation mode of the application, not only the real-time traffic flow characteristics are considered, but also the driving characteristic factors of the vehicles are considered, and the phenomenon that the vehicles running in a certain road section can be mistakenly judged to be in a closed state is avoided; or night time traffic flow is less than the historical value and goes to 0, may be only briefly passing by no vehicle, but may also be misjudged as a closed state. The accuracy of detection is improved.
Furthermore, after the sealing information of the bayonet is identified, the sealing information of the bayonet is pushed to the vehicle-mounted terminal.
Specifically, if the direction of the ramp on the bayonet is detected to be closed, the system pushes: the XX bayonet (bayonet name) is closed from the YY road (affiliated road name) to the upper ramp direction of the ZZ road (affiliated road name); if the direction of the ramp below the bayonet is detected to be closed, pushing by the system: the XX bayonet (bayonet name) is closed from the direction of the lower ramp of the ZZ road (belonging road name) to the YY road (affiliated road name).
According to the method, the vehicle owner can be prompted to detour, so that the trip experience is improved, and the road congestion is relieved.
In order to facilitate understanding of the method for automatically detecting the bayonet closure provided in the embodiments of the present application, the following description is made with reference to fig. 2.
As shown in fig. 2, the method for automatically detecting a bayonet closure according to the embodiment of the present application includes performing data processing, constructing a bayonet image, and obtaining data such as longitude and latitude, a bayonet name, and the like of a position where the bayonet is located. And then combining map data, taking the position of the bayonet as a starting point, extending a preset distance along the road direction to obtain a road section as the affiliated road of the bayonet, drawing a circle by taking the longitude and latitude of the bayonet as the center of the circle and the length of 2 kilometers, and defining other connecting roads in the circle as the affiliated roads to obtain link information of the affiliated roads, the altitude of the roads, the road width and the road center line. And obtaining a road in the gate area according to the road and the auxiliary road of the gate.
And further, road network matching is carried out on the track data of the vehicle and the map data to obtain track data containing road information, and the real-time traffic flow of the road in the intersection area is obtained according to the matching relation between the track data containing the road information and the road in the intersection area.
Then, detecting according to the real-time traffic flow data and the driving characteristic data of the vehicles, and judging whether the traffic flow from the auxiliary road to the affiliated road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time; if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time, determining that the ramp direction on the bayonet is suspected to be closed; judging whether the traffic flow from the road to the auxiliary road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time; and if the historical traffic flow is less than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time, determining that the direction of the ramp below the bayonet is suspected to be closed.
Further, data such as acceleration data, trajectory data, weather data and the like of the vehicle traveling into the suspected closed area are acquired. If the acceleration is reduced all the time when the vehicles which are more than or equal to the preset number pass through the affiliated roads to the positions of the bayonets, the acceleration is increased at the moment corresponding to the minimum value of the acceleration, and the vehicles do not drive to the affiliated roads, and then the vehicles drive on the affiliated roads, and the direction of the ramp on the bayonets is determined to be closed. And if the acceleration is reduced all the time when the roads to which the vehicles with the number larger than or equal to the preset number are connected to the positions of the bayonets, the acceleration is not driven to the auxiliary road at the moment corresponding to the minimum value of the acceleration, the acceleration is increased immediately and the auxiliary road is driven to the road, and the direction of the ramp below the bayonets is determined to be closed.
Further, carrying out bayonet closure feedback, if the direction of a ramp on a bayonet is detected to be closed, pushing by a system: the XX bayonet (bayonet name) is closed from the YY road (affiliated road name) to the ZZ road (affiliated road name) in the ramp direction; if the direction of the ramp below the bayonet is detected to be closed, pushing by the system: the XX bayonet (bayonet name) is closed from the direction of the lower ramp of the ZZ road (belonging road name) to the YY road (affiliated road name).
According to the method for automatically detecting the blocking of the blocking port, the traffic flow of the road in the blocking port area is analyzed based on the track data reported by the vehicle machine, and whether the blocking port is blocked or not is accurately detected by combining the traffic flow characteristics and the driving characteristic data of the vehicle. The closed bayonet can be accurately found in real time, and bayonet closed information is pushed to the car machine terminal. The travel experience is improved, decision support is provided for travel route planning, and the travel is avoided being left. And the method does not increase road traffic hardware and labor cost, and has strong maintainability.
An embodiment of the present application further provides an apparatus for automatically detecting bayonet closure, where the apparatus is configured to perform the method for automatically detecting bayonet closure according to the foregoing embodiment, and as shown in fig. 3, the apparatus includes:
the calculating module 301 is configured to calculate a real-time traffic flow of a road in a gate area according to trajectory data of a vehicle;
the first judging module 302 is configured to judge whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the real-time traffic flow meets the preset closed road traffic flow condition, determine that the gate is suspected to be closed;
an obtaining module 303, configured to obtain driving feature data of a vehicle in a suspected closed area;
the second determining module 304 is configured to determine whether the driving characteristic data meets a preset closed road driving characteristic condition, and if the driving characteristic data meets the closed road driving characteristic condition, determine that the gate is closed.
It should be noted that, when the apparatus for automatically detecting a bayonet closure provided in the foregoing embodiment executes a method for automatically detecting a bayonet closure, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules, so as to complete all or part of the functions described above. In addition, the device for automatically detecting bayonet closure and the method embodiment for automatically detecting bayonet closure provided by the above embodiments belong to the same concept, and the detailed implementation process is shown in the method embodiment and is not described herein again.
The embodiment of the present application further provides an electronic device corresponding to the method for automatically detecting bayonet closure provided in the foregoing embodiment, so as to execute the method for automatically detecting bayonet closure.
Referring to fig. 4, a schematic diagram of an electronic device provided in some embodiments of the present application is shown. As shown in fig. 4, the electronic apparatus includes: a processor 400, a memory 401, a bus 402 and a communication interface 403, wherein the processor 400, the communication interface 403 and the memory 401 are connected through the bus 402; the memory 401 stores a computer program that can be executed on the processor 400, and the processor 400 executes the computer program to perform the method for automatically detecting a bayonet lock provided in any of the foregoing embodiments of the present application.
The Memory 401 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is implemented through at least one communication interface 403 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used.
The electronic device provided by the embodiment of the application and the method for automatically detecting the bayonet closure provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as the method adopted, operated or realized by the electronic device.
Referring to fig. 5, the computer readable storage medium is an optical disc 500, and a computer program (i.e., a program product) is stored thereon, and when being executed by a processor, the computer program may execute the method for automatically detecting a bayonet closure according to any of the foregoing embodiments.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memories (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above embodiment of the present application and the method for automatically detecting a bayonet closure provided by the embodiment of the present application are based on the same inventive concept, and have the same beneficial effects as the method adopted, run or implemented by the application program stored in the computer-readable storage medium.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A method of automatically detecting bayonet closure, comprising:
calculating real-time traffic flow of a road in a gate area according to track data of vehicles, wherein the real-time traffic flow comprises a road section which is obtained by extending a preset distance along the road direction by taking a gate position as a starting point and is taken as a gate; taking the position of the bayonet as the center of a circle, and acquiring an accessory road with a road section outside the accessory road within a preset radius as the bayonet; obtaining a road of the bayonet area according to the road and the accessory road of the bayonet; marking vehicles from the auxiliary road to the road in the driving direction as an upper ramp; marking vehicles with the driving directions from the road to the auxiliary road as a down ramp;
judging whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the real-time traffic flow meets the closed road traffic flow condition, determining that a checkpoint is suspected to be closed;
acquiring driving characteristic data of a vehicle in a suspected closed area;
judging whether the driving characteristic data meets a preset closed road driving characteristic condition, if so, determining that the bayonet is closed, and the method comprises the following steps: if the acceleration of the vehicles is reduced all the time when the vehicles with the number larger than or equal to the preset number are positioned from the auxiliary road to the bayonet, the vehicles do not reach the auxiliary road when the acceleration is minimum, and then the acceleration is increased and the vehicles run on the auxiliary road, the direction of the ramp on the bayonet is determined to be closed; and if the acceleration of the vehicles is reduced all the time when the vehicles with the number larger than or equal to the preset number reach the position of the gate from the road to which the vehicles belong, the vehicles do not reach the auxiliary road when the acceleration is minimum, and then the vehicles increase in acceleration and run on the road to which the vehicles belong, the direction of the ramp-down direction of the gate is determined to be closed.
2. The method of claim 1, wherein calculating real-time traffic flow for the road in the intersection area based on trajectory data of the vehicle comprises:
road network matching is carried out on the track data of the vehicle and the map data to obtain track data containing road information;
and obtaining the real-time traffic flow of the road in the intersection area according to the matching relation between the track data containing the road information and the road in the intersection area.
3. The method of claim 1, wherein determining whether the real-time traffic flow meets a preset closed road traffic flow condition, and if the closed road traffic flow condition is met, determining that a checkpoint is suspected to be closed comprises:
judging whether the traffic flow from the auxiliary road to the affiliated road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time;
if the historical traffic flow is smaller than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time, determining that the ramp direction on the bayonet is suspected to be closed;
judging whether the traffic flow from the road to the auxiliary road is smaller than the historical traffic flow in the same time period or not, wherein the real-time traffic flow tends to zero along with the time;
and if the historical traffic flow is less than the historical traffic flow in the same time period and the real-time traffic flow tends to zero along with the time, determining that the direction of the ramp below the bayonet is suspected to be closed.
4. The method of claim 1, further comprising:
and pushing the closing information of the bayonet to the vehicle-mounted terminal.
5. An apparatus for automatically detecting bayonet closure, comprising:
the calculation module is used for calculating the real-time traffic flow of the road in the gate area according to the track data of the vehicle, and comprises a road section which is obtained by extending a preset distance along the road direction by taking the gate position as a starting point and is taken as the belonged road of the gate; taking the position of the bayonet as the center of a circle, and acquiring an accessory road with a road section outside the accessory road within a preset radius as the bayonet; obtaining a road of the bayonet area according to the road and the accessory road of the bayonet; marking vehicles from the auxiliary road to the road in the driving direction as an upper ramp; marking vehicles with the driving directions from the road to the auxiliary road as a down ramp;
the first judgment module is used for judging whether the real-time traffic flow meets a preset closed road traffic flow condition or not, and if the real-time traffic flow meets the closed road traffic flow condition, determining that the checkpoint is suspected to be closed;
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring driving characteristic data of vehicles in a suspected closed area;
the second judgment module is used for judging whether the driving characteristic data meets the preset closed road driving characteristic conditions or not, and if the driving characteristic data meets the closed road driving characteristic conditions, the bayonet is determined to be closed, and the method comprises the following steps: if the acceleration of the vehicles is reduced all the time when the vehicles with the number larger than or equal to the preset number reach the position of the gate from the affiliated road, the vehicles do not reach the affiliated road when the acceleration is minimum, and then the acceleration is increased and the vehicles run on the affiliated road, the direction of the ramp on the gate is determined to be closed; and if the acceleration of the vehicles is reduced all the time when the vehicles with the number larger than or equal to the preset number reach the position of the gate from the road to which the vehicles belong, the vehicles do not reach the auxiliary road when the acceleration is minimum, and then the vehicles increase in acceleration and run on the road to which the vehicles belong, the direction of the ramp-down direction of the gate is determined to be closed.
6. The apparatus of claim 5, further comprising:
and the message pushing module is used for pushing the closing information of the bayonet to the vehicle-mounted terminal.
7. An apparatus for automatic detection of bayonet closure, characterized in that it comprises a processor and a memory storing program instructions, the processor being configured, upon execution of the program instructions, to carry out a method for automatic detection of bayonet closure according to any one of claims 1 to 4.
8. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement a method of automatically detecting bayonet closure as claimed in any one of claims 1 to 4.
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