CN114463970B - Method, device and equipment for automatically detecting bayonet closure and storage medium - Google Patents

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

Method, device, equipment and storage medium for automatically detecting bayonet closure

technical field

The invention relates to the technical field of intelligent transportation, in particular to a method, device, equipment and storage medium for automatically detecting bayonet closure.

Background technique

Due to road maintenance, control and other reasons, the road is closed, and the road closure will bring inconvenience to daily travel, and will cause a rapid increase in the traffic volume of adjacent roads, resulting in traffic congestion and a vicious cycle of traffic conditions.

In the prior art, closed notices are often only posted at closed road checkpoints, or notified through traffic broadcasts, media, etc., so that drivers cannot obtain closed information in real time at the first time, which brings a lot of inconvenience to drivers.

Contents of the invention

Embodiments of the present application provide a method, device, device, and storage medium for automatically detecting bayonet closure. In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is presented below. This summary is not an overview, nor is it intended to identify key/critical elements or delineate the scope of these 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 the first aspect, the embodiment of the present application provides a method for automatically detecting bayonet closure, including:

According to the trajectory data of the vehicle, calculate the real-time traffic flow of the road in the checkpoint area;

Judging whether the real-time traffic flow meets the preset closed road traffic flow conditions, and if it meets the closed road traffic flow conditions, it is determined that the bayonet is suspected to be closed;

Obtain driving characteristic data of vehicles in suspected closed areas;

It is judged whether the driving feature data satisfies the preset closed road driving characteristic condition, and if the closed road driving characteristic condition is satisfied, it is determined that the bayonet is closed.

In an optional embodiment, according to the trajectory data of the vehicle, the real-time traffic flow of the road in the checkpoint area is calculated, including:

Starting from the checkpoint position, the road segment obtained by extending the preset distance along the road direction is the road to which the checkpoint belongs;

Take the checkpoint position as the center of the circle, and obtain the subsidiary roads that are the road segments other than the road within the preset radius as the checkpoint;

Get the checkpoint area road according to the checkpoint's own road and subsidiary road;

Match the track data of the vehicle with the map data on the road network to obtain the track data containing road information;

According to the matching relationship between the trajectory data containing road information and the road in the checkpoint area, the real-time traffic flow of the checkpoint area road is obtained.

In an optional embodiment, it also includes:

Mark the vehicle traveling from the auxiliary road to the road it belongs to as an on-ramp;

Mark the vehicle traveling from the own road to the subsidiary road as an off-ramp.

In an optional embodiment, judging whether the real-time traffic flow satisfies the preset closed road traffic flow condition, and if the closed road traffic flow condition is met, then determining that the checkpoint is suspected to be closed includes:

Judging whether the traffic flow from the auxiliary road to the road to which it belongs is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by;

If it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero over time, then it is determined that the direction of the ramp on the bayonet is suspected to be closed;

Judging whether the traffic flow from the road to the attached road is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by;

If it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by, then it is determined that the direction of the off-ramp at the bayonet is suspected to be closed.

In an optional embodiment, judging whether the driving characteristic data satisfies the preset closed road driving characteristic condition, and if the closed road driving characteristic condition is satisfied, then determining that the bayonet is closed includes:

If there are more than or equal to the preset number of vehicles from the auxiliary road to the bayonet position, the acceleration of the vehicle has been decreasing, and the acceleration has not reached the road when the acceleration is the minimum, and then the acceleration increases and travels on the auxiliary road, then determine the bayonet on-ramp direction closed;

If there are more than or equal to the preset number of vehicles during the period from the road to the bayonet position, the acceleration of the vehicle has been decreasing, and the acceleration has not reached the auxiliary road when the acceleration is the minimum, and then the acceleration increases and travels on the road, then determine the bayonet off-ramp Direction closed.

In an optional embodiment, it also includes:

Push the closure information of the bayonet to the vehicle terminal.

In the second aspect, the embodiment of the present application provides a device for automatically detecting bayonet closure, including:

The calculation module is used to calculate the real-time traffic flow of the road in the checkpoint area according to the trajectory data of the vehicle;

The first judging module is used to judge whether the real-time traffic flow meets the preset closed road traffic flow condition, and if the closed road traffic flow condition is met, then determine that the bayonet is suspected to be closed;

An acquisition module, configured to acquire the driving characteristic data of the vehicle in the suspected closed area;

The second judging module is used for judging whether the driving feature data satisfies the preset closed road driving characteristic condition, and if the closed road driving characteristic condition is satisfied, then determine that the bayonet is closed.

In an optional embodiment, it also includes:

The message push module is used to push the closing information of the bayonet to the vehicle terminal.

In the third aspect, the embodiment of the present application also provides a device for automatically detecting bayonet closure, including a processor and a memory storing program instructions, and the processor is configured to execute the automatic detection method provided by the above-mentioned embodiment when executing the program instructions. Method for detecting bayonet closure.

In a fourth aspect, an embodiment of the present application provides a computer-readable medium, on which computer-readable instructions are stored, and the computer-readable instructions are executed by a processor to implement the method for automatically detecting bayonet closure provided in the above-mentioned embodiments .

The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

According to the method for automatically detecting a bayonet closure provided in the embodiment of the present application, the traffic flow of the road in the bayonet area is analyzed based on the trajectory data reported by the vehicle, and whether the bayonet is closed is accurately detected in combination with the characteristics of the traffic flow and the driving characteristic data of the vehicle. It can accurately detect the closed bayonet in real time, and push the bayonet closure information to the vehicle terminal. Improve travel experience, provide decision-making support for travel route planning, and avoid unnecessary mistakes. Moreover, this method will not increase road traffic hardware and labor costs, 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.

Description of 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 schematic flowchart of a method for automatically detecting bayonet closure according to an exemplary embodiment;

Fig. 2 is a schematic diagram of a method for automatically detecting bayonet closure according to an exemplary embodiment;

Fig. 3 is a schematic structural diagram of a device for automatically detecting bayonet closure according to an exemplary embodiment;

Fig. 4 is a schematic structural diagram of a device for automatically detecting bayonet closure according to an exemplary embodiment;

Fig. 5 is a schematic diagram of a computer storage medium according to an exemplary embodiment.

Detailed ways

The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them.

It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

When the following description refers to the accompanying drawings, the same numerals in different drawings refer to 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 aspects of the invention as recited in the appended claims.

The method for automatically detecting bayonet closure provided by 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. Calculate the real-time traffic flow of the road in the checkpoint area according to the trajectory data of the vehicle.

In a possible implementation manner, a bayonet portrait is constructed first, and data such as the latitude and longitude of the bayonet location and the name of the bayonet are obtained. Then combined with the map data, starting from the checkpoint position, the road segment obtained by extending the preset distance along the road direction is the checkpoint’s own road. For example, the road extending 2 kilometers along the road direction is identified as the belonging road, and the road link is obtained. , the altitude of the road, the width of the road, and the centerline of the road. Further, based on the road to which it belongs, according to the principle of road connectivity, draw a circle with the longitude and latitude of the bayonet as the center, and a radius of 2 kilometers. The other connected roads in the circle are defined as auxiliary roads, and the link information of the auxiliary roads, the altitude of the road, and Road width and road centerline. Get the checkpoint area road according to the checkpoint's belonging road and subsidiary road.

In a possible implementation manner, the method further includes: marking a vehicle whose driving direction is from the auxiliary road to the associated road as an on-ramp, and marking a vehicle whose driving direction is from the associated road to the auxiliary road an off-ramp.

Further, road network matching is performed on the vehicle trajectory data and map data to obtain trajectory data containing road information, and according to the matching relationship between the trajectory data containing road information and the roads in the checkpoint area, the real-time traffic flow of the road in the checkpoint area is obtained.

Specifically, the location data reported by the vehicle is acquired, including: vehicle id, GPS positioning time, GPS positioning speed, GPS positioning longitude, GPS positioning latitude, and altitude. Combined with map data, including: road link, road coverage latitude and longitude, road name, road elevation. Carry out road network matching on the vehicle trajectory, and construct the relationship between the vehicle trajectory location point and the road. For example, the similarity between the driving track and the road is calculated based on the vertical distance between the longitude and latitude of the car-machine reporting point and the longitude and latitude of the road centerline. If the similarity is 90% or above, the current driving road can be obtained. Wherein, the similarity formula is: number of similar points/total number of points (total number of points reported in the judgment area), and in a possible implementation, points whose vertical distance from the reported point to the road is less than or equal to the road width are similar points.

After obtaining the road information of the vehicle's driving trajectory, the vehicle id, GPS positioning time, GPS positioning speed, GPS positioning longitude, GPS positioning latitude, road link, and road name are obtained. The above data are called trajectory data containing road information. Trajectory data containing road information after network matching. By matching the altitude information of the vehicle with the altitude information of the road, the road on which the vehicle is located can be accurately identified in the case of a three-dimensional traffic road network.

Further, using the road link as the key, match the road data in the bayonet area with the trajectory data containing road information, filter out the unmatched data, and obtain the data that is the driving situation data of the vehicle near the bayonet, specifically: the bayonet name, Checkpoint latitude and longitude, belonging road link set, affiliated road link set, vehicle id, GPS positioning time, GPS positioning speed, GPS positioning longitude, GPS positioning latitude, road link, road name. Divide the matching data on a 10-minute basis, so as to obtain the traffic flow of each section of the road in the checkpoint area every 10 minutes.

In a possible implementation, the matching data can also be divided on a basis of 15 minutes, so as to obtain the traffic flow of each section of the road in the checkpoint area every 15 minutes. The embodiment of the present application does not specifically limit the specific time period. It can be set according to the actual situation.

S102. Determine whether the real-time traffic flow satisfies the preset closed road traffic flow condition, and if the closed road traffic flow condition is satisfied, determine that the checkpoint is suspected to be closed.

In an optional embodiment, it is judged whether the traffic flow from the auxiliary road to the road to which it belongs is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by; if it is less than the historical traffic flow in the same period, and As time goes by, the real-time traffic flow tends to zero, so it is determined that the direction of the ramp on the bayonet is suspected to be closed; it is judged whether the traffic flow from the road to the auxiliary road is less than the historical traffic flow in the same period, and the real-time traffic flow tends to Zero; if it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero over time, then it is determined that the direction of the off-ramp at the bayonet is suspected to be closed.

Specifically, through the method of step S101, analyze the traffic flow in the same period of the past three months as the historical traffic flow, and then compare the obtained real-time traffic flow with the historical traffic flow, and judge the traffic flow from the auxiliary road to the corresponding road in turn. Whether it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by; Closed; judge whether the traffic flow from the road to the auxiliary road in turn is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by; if it is less than the historical traffic flow in the same period, and in real time as time goes by If the traffic flow tends to zero, it is determined that the direction of the off-ramp at the bayonet is suspected to be closed.

S103. Obtain driving characteristic data of vehicles in the suspected closed area.

In a possible implementation manner, data such as acceleration data, trajectory data, and weather data when the vehicle travels into the suspected closed area may be obtained.

S104 judges whether the driving feature data satisfies the preset closed road driving characteristic condition, and if the closed road driving characteristic condition is satisfied, then determine that the bayonet is closed.

In a possible implementation, if there are more than or equal to a preset number of vehicles passing through the auxiliary road to the bayonet position, the acceleration has been decreasing, and the acceleration minimum value has not yet driven to the road at the time corresponding to the minimum value, then the acceleration increases and travels On the auxiliary road, it is determined that the direction of the ramp on the bayonet is closed.

If there are more than or equal to the preset number of vehicles passing the road to the checkpoint position, the acceleration has been decreasing, and the acceleration minimum value has not yet driven to the auxiliary road at the time corresponding to the minimum value of acceleration, and then the acceleration increases and travels on the corresponding road, then determine the checkpoint. The ramp direction is closed.

Wherein, the preset number can be set with reference to the historical traffic flow in the same period, which is not specifically limited in this embodiment of the present application.

In an optional embodiment, the bayonet closing probability can also be calculated according to the real-time traffic flow, the number of vehicles turning around at the bayonet, and the weather conditions. If the bayonet closing probability is greater than a preset probability threshold, the bayonet closing is determined. Wherein, the embodiment of the present application does not specifically limit the value of the preset probability threshold, which 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 period, and the real-time traffic flow tends to zero over time, the real-time traffic flow factor is 10 points; if the traffic flow condition is not met, the real-time traffic flow factor is 2 If the weather conditions are extreme weather such as heavy fog, heavy snow, sandstorm, etc., the weather factor is 10 points; if it is other good weather, the weather factor is 5 points. And calculate 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

Among them, P is the bayonet sealing probability, and α, β, γ are coefficients, which can be set according to the actual situation.

According to the implementation of the present application, not only the real-time traffic flow characteristics, but also the driving characteristic factors of the vehicles are considered, so as to avoid that a certain road section will be misjudged as closed when no vehicles are driving; or the traffic flow at night is less than the historical value and tends to 0. It may be only a short period of no traffic passing by, but it will also be misjudged as a closed state. The detection accuracy is improved.

Further, after identifying the closure information of the bayonet, it also includes pushing the closure information of the bayonet to the vehicle-mounted terminal.

Specifically, if the on-ramp direction of the bayonet is detected to be closed, the system will push: XX bayonet (name of the bayonet) is closed in the direction of the up-ramp from YY road (the name of the affiliated road) to ZZ road (the name of the associated road); if the bayonet is detected The off-ramp direction is closed, and the system pushes: XX bayonet (bayonet name) is closed in the off-ramp direction from ZZ road (belonging road name) to YY road (affiliated road name).

According to the method, the car owner can be prompted to take a detour, so as to improve travel experience and reduce road congestion.

In order to facilitate understanding of the method for automatically detecting bayonet closure provided in the embodiment of the present application, the following description will be made in conjunction with FIG. 2 .

As shown in Figure 2, the method for automatically detecting the closure of a bayonet provided by the embodiment of the present application includes firstly performing data processing, constructing a portrait of the bayonet, and obtaining data such as the latitude and longitude of the bayonet location, and the name of the bayonet. Then combined with the map data, starting from the location of the checkpoint, the road segment obtained by extending the preset distance along the road direction is the road to which the checkpoint belongs. With the longitude and latitude of the checkpoint as the center, draw a circle with a radius of 2 kilometers, and define other connected roads in the circle For the subsidiary road, obtain the link information of the subsidiary road, the altitude of the road, the width of the road, and the centerline of the road. Get the checkpoint area road according to the checkpoint's belonging road and subsidiary road.

Further, road network matching is performed on the vehicle trajectory data and map data to obtain trajectory data containing road information, and according to the matching relationship between the trajectory data containing road information and the roads in the checkpoint area, the real-time traffic flow of the road in the checkpoint area is obtained.

Then, according to the real-time traffic flow data and the driving characteristic data of the vehicle, it is detected to judge whether the traffic flow from the auxiliary road to the road to which it belongs is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by; if it is less than the same period , and the real-time traffic flow tends to zero as time goes by, then it is determined that the direction of the on-ramp at the checkpoint is suspected to be closed; judge whether the traffic flow from the road to the auxiliary road is less than the historical traffic flow in the same period, and with time The real-time traffic flow tends to zero; if it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero over time, it is determined that the direction of the off-ramp at the bayonet is suspected to be closed.

Further, data such as acceleration data, trajectory data, and weather data of the vehicle driving into the suspected closed area are acquired. If there are more than or equal to the preset number of vehicles passing the auxiliary road to the bayonet position, the acceleration has been decreasing, and the acceleration minimum value has not yet driven to the corresponding road, and then the acceleration increases and travels on the auxiliary road, then determine the bayonet The ramp direction is closed. If there are more than or equal to the preset number of vehicles passing the road to the checkpoint position, the acceleration has been decreasing, and the acceleration minimum value has not yet driven to the auxiliary road at the time corresponding to the minimum value of acceleration, and then the acceleration increases and travels on the corresponding road, then determine the checkpoint. The ramp direction is closed.

Further, checkpoint closing feedback is performed. If it is detected that the up-ramp direction of the checkpoint is closed, the system pushes: XX checkpoint (bayside name) is closed in the up-ramp direction from YY road (affiliated road name) to ZZ road (belonging road name) ; If it is detected that the off-ramp direction of the bayonet is closed, the system will push: XX bayonet (bayonet name) is closed in the off-ramp direction from ZZ road (belonging road name) to YY road (affiliated road name).

According to the method for automatically detecting a bayonet closure provided in the embodiment of the present application, the traffic flow of the road in the bayonet area is analyzed based on the trajectory data reported by the vehicle, and whether the bayonet is closed is accurately detected in combination with the characteristics of the traffic flow and the driving characteristic data of the vehicle. It can accurately detect the closed bayonet in real time, and push the bayonet closure information to the vehicle terminal. Improve travel experience, provide decision-making support for travel route planning, and avoid unnecessary mistakes. Moreover, this method will not increase road traffic hardware and labor costs, and has strong maintainability.

The embodiment of the present application also provides a device for automatically detecting bayonet closure, which is used to implement the method for automatically detecting bayonet closure in the above embodiment, as shown in Figure 3, the device includes:

Calculation module 301, for calculating the real-time traffic flow of the checkpoint area road according to the trajectory data of the vehicle;

The first judging module 302 is used to judge whether the real-time traffic flow meets the preset closed road traffic flow condition, and if the closed road traffic flow condition is met, then determine that the checkpoint is suspected to be closed;

An acquisition module 303, configured to acquire the driving characteristic data of the vehicle in the suspected closed area;

The second judging module 304 is used to judge whether the driving characteristic data meets the preset closed road driving characteristic condition, and if the closed road driving characteristic condition is satisfied, determine that the bayonet is closed.

It should be noted that, when the device for automatically detecting the bayonet closure provided in the above-mentioned embodiment executes the method for automatically detecting the bayonet closure, it only uses the division of the above-mentioned functional modules for illustration. In practical applications, the above-mentioned Function allocation is accomplished by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device for automatically detecting bayonet closure provided in the above embodiment and the embodiment of the method for automatically detecting bayonet closure belong to the same concept, and its implementation process is detailed in the method embodiment, and will not be repeated here.

An embodiment of the present application further provides an electronic device corresponding to the method for automatically detecting bayonet closure provided in the foregoing embodiments, so as to implement the foregoing method for automatically detecting bayonet closure.

Please refer to FIG. 4 , which shows a schematic diagram of an electronic device provided by some embodiments of the present application. As shown in Figure 4, the electronic equipment includes: processor 400, memory 401, bus 402 and communication interface 403, processor 400, communication interface 403 and memory 401 are connected by bus 402; The running computer program, when the processor 400 runs the computer program, executes the method for automatically detecting bayonet closure provided in any one of the foregoing embodiments of the present application.

Wherein, the memory 401 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local network, metropolitan area network, etc. can be used.

The bus 402 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into address bus, data bus, control bus and so on. Wherein, the memory 401 is used to store the program, and the processor 400 executes the program after receiving the execution instruction. The method for automatically detecting bayonet closure disclosed in any of the above-mentioned embodiments of the present application can be applied to the processor 400, or by The processor 400 implements.

The processor 400 may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method may be implemented by an integrated logic circuit of hardware in the processor 400 or instructions in the form of software. The above-mentioned processor 400 can be a general-purpose processor, including a central processing unit (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps, and logic block diagrams disclosed in the embodiments of the present application may be implemented or executed. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory 401, and the processor 400 reads the information in the memory 401, and completes the steps of the above method in combination with its hardware.

The electronic device provided in the embodiment of the present application and the method for automatically detecting bayonet closure provided in the embodiment of the present application are based on the same inventive concept, and have the same beneficial effect as the method adopted, operated or realized.

The embodiment of the present application also provides a computer-readable storage medium corresponding to the method for automatically detecting bayonet closure provided in the foregoing embodiments. Please refer to FIG. A computer program (that is, a program product) is stored, and when the computer program is run by the processor, it will execute the method for automatically detecting bayonet closure provided by any of the foregoing embodiments.

It should be noted that examples of computer-readable storage media may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access Memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media will not be repeated here.

The computer-readable storage medium provided by the above-mentioned embodiments of the present application is based on the same inventive concept as the method for automatically detecting bayonet closure provided by the embodiments of the present application, and has the same method adopted, run or implemented by its stored application program. Beneficial effect.

The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above examples only express several implementations of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (8)

1. A method for automatically detecting bayonet closure, comprising: According to the track data of the vehicle, the real-time traffic flow of the road in the bayonet area is calculated, including: taking the bayonet position as the starting point, the road segment obtained by extending the preset distance along the road direction is the road to which the bayonet belongs; taking the bayonet position as the center of the circle, Obtain the road segment other than the road within the preset radius as the accessory road of the checkpoint; obtain the road in the checkpoint area according to the belonging road and the affiliated road of the checkpoint; mark the vehicle traveling from the auxiliary road to the corresponding road as an on-ramp; Mark the vehicle traveling from the road it belongs to to the auxiliary road as an off-ramp; Judging whether the real-time traffic flow satisfies a preset closed road traffic flow condition, and if the closed road traffic flow condition is met, then determining that the bayonet is suspected to be closed; Obtain driving characteristic data of vehicles in suspected closed areas; Judging whether the driving characteristic data satisfies the preset closed road driving characteristic condition, if the closed road driving characteristic condition is satisfied, then determine that the bayonet is closed, including: if there are more than or equal to the preset number of vehicles from the auxiliary road to the bayonet During the position period, the acceleration of the vehicle has been decreasing, and the acceleration has not reached the road when the acceleration is the minimum, and then the acceleration increases and is driving on the auxiliary road, it is determined that the direction of the ramp on the bayonet is closed; if there are more than or equal to the preset number of vehicles from the road During the period to the bayonet position, the acceleration of the vehicle has been decreasing, and the acceleration has not reached the auxiliary road when the acceleration is the minimum, and then the acceleration increases and the vehicle is driving on the road, it is determined that the direction of the off-ramp of the bayonet is closed. 2. The method according to claim 1, wherein, according to the track data of the vehicle, calculating the real-time traffic flow of the checkpoint area road includes: Match the track data of the vehicle with the map data on the road network to obtain the track data containing road information; According to the matching relationship between the trajectory data containing the road information and the road in the checkpoint area, the real-time traffic flow of the road in the checkpoint area is obtained. 3. The method according to claim 1, characterized in that judging whether the real-time traffic flow satisfies a preset closed road traffic flow condition, and if the closed road traffic flow condition is satisfied, then determining that the bayonet is suspected to be closed, including : Judging whether the traffic flow from the auxiliary road to the road to which it belongs is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by; If it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero over time, then it is determined that the direction of the ramp on the bayonet is suspected to be closed; Judging whether the traffic flow from the road to the attached road is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by; If it is less than the historical traffic flow in the same period, and the real-time traffic flow tends to zero as time goes by, then it is determined that the direction of the off-ramp at the bayonet is suspected to be closed. 4. The method according to claim 1, further comprising: Push the closure information of the bayonet to the vehicle terminal. 5. A device for automatically detecting bayonet closure, comprising: The calculation module is used to calculate the real-time traffic flow of the checkpoint area road according to the track data of the vehicle, including: taking the checkpoint position as the starting point, extending the road section obtained by extending the preset distance along the road direction as the belonging road of the checkpoint; The mouth position is the center of the circle, and the road segment outside the road within the preset radius is the auxiliary road of the bayonet; the road in the bayonet area is obtained according to the road and the auxiliary road of the bayonet; the driving direction is the vehicle from the auxiliary road to the road to which it belongs Mark it as an on-ramp; mark the vehicle traveling from its own road to an auxiliary road as an off-ramp; The first judging module is used to judge whether the real-time traffic flow meets the preset closed road traffic flow condition, and if the closed road traffic flow condition is satisfied, then determine that the bayonet is suspected to be closed; An acquisition module, configured to acquire the driving characteristic data of the vehicle in the suspected closed area; The second judging module is used to judge whether the driving characteristic data meet the preset closed road driving characteristic condition, and if the closed road driving characteristic condition is satisfied, then determine that the bayonet is closed, including: if there are more than or equal to the preset number During the period when the vehicle travels from the auxiliary road to the bayonet position, the acceleration of the vehicle keeps decreasing, and the vehicle does not reach the road when the acceleration is the minimum, and then the acceleration increases and drives on the auxiliary road, then it is determined that the direction of the ramp on the bayonet is closed; Assuming that the acceleration of a number of vehicles has been decreasing during the period from the road to the bayonet, and the acceleration of the vehicle has not reached the auxiliary road when the acceleration is the smallest, and then the acceleration increases and travels on the road, it is determined that the direction of the off-ramp at the bayonet is closed. 6. The device according to claim 5, further comprising: The message push module is used to push the closing information of the bayonet to the vehicle terminal. 7. A device for automatically detecting bayonet closure, characterized in that it includes a processor and a memory storing program instructions, the processor is configured to execute any of the following claims 1 to 4 when executing the program instructions. A method for automatically detecting bayonet closure as described. 8. A computer-readable medium, characterized in that computer-readable instructions are stored thereon, and the computer-readable instructions are executed by a processor to realize the automatic detection according to any one of claims 1 to 4 Method of bayonet closure.

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