CN114167463A - Vehicle abnormal stagnation detection method, electronic equipment and management system - Google Patents

Abstract

The present disclosure provides a detection method, electronic equipment and management system for abnormal stagnation of vehicles, and relates to the technical fields of intelligent transportation such as Internet of Vehicles, intelligent Internet connection, and urban vehicle management. The specific scheme is: when judging whether the vehicle is an abnormally stagnant vehicle, receiving the real-time GPS data sent by the target vehicle; if the driving speed included in the real-time GPS data indicates that the target vehicle is in a stopped state, determine the first boundary line corresponding to the target vehicle; and determine the existence duration of the first boundary line according to the GPS data subsequently sent by the target vehicle; and then determine the detection result of the target vehicle based on the existence duration and the location information included in the real-time GPS data, so that based on the real-time GPS data sent by the target vehicle, Whether the vehicle is an abnormally stagnant vehicle can be accurately identified, the judgment of whether the vehicle is an abnormally stagnant vehicle can be realized, the result error caused by GPS drift can be effectively avoided, and the accuracy of the detection result can be improved.

Description

Detection method, electronic device and management system for abnormal vehicle standstill

technical field

The present disclosure relates to the technical field of intelligent transportation, in particular to the technical fields of artificial intelligence such as Internet of Vehicles, Intelligent Internet of Things, and urban vehicle management, and in particular to a detection method, electronic device and management system for abnormal vehicle stagnation.

Background technique

With the continuous development of cities and the rising level of urban motorization, the management of key vehicles such as muck trucks, heavy freight vehicles, logistics vehicles, and dangerous vehicles has gradually become the core content of urban management.

At present, many key vehicles have behaviors such as abnormal stagnation on the road, resulting in the reduction of the road driving space, the increase of blind spots, and the serious impact on traffic order. Therefore, how to effectively determine whether a key vehicle is an abnormally stagnant vehicle is the most important vehicle management. important.

SUMMARY OF THE INVENTION

The present disclosure provides a detection method, an electronic device and a management system for abnormal stagnation of a vehicle, which realizes the judgment of whether the vehicle is an abnormally stagnant vehicle.

According to a first aspect of the present disclosure, a method for detecting abnormal vehicle stagnation is provided, and the method for detecting abnormal vehicle stagnation may include:

Receive real-time GPS data sent by the target vehicle; wherein, the real-time GPS data includes travel speed and position information.

If the traveling speed indicates that the target vehicle is in a stopped state, a first boundary line of a first area including the location of the target vehicle is determined.

The duration of existence of the first boundary line is determined according to GPS data subsequently sent by the target vehicle.

Based on the existence duration and the location information, a detection result of the target vehicle is determined; wherein the detection result includes an abnormally stagnant vehicle or a non-abnormally stagnant vehicle.

According to a second aspect of the present disclosure, there is provided an apparatus for detecting abnormal stagnation of a vehicle, and the apparatus for detecting abnormal stagnation of a vehicle may include:

The receiving unit is used for receiving real-time GPS data sent by the target vehicle; wherein, the real-time GPS data includes traveling speed and position information.

A first determining unit, configured to determine a first boundary line of a first area including the location of the target vehicle if the traveling speed indicates that the target vehicle is in a stopped state.

The second determining unit is configured to determine the existence duration of the first boundary line according to the GPS data subsequently sent by the target vehicle.

A third determining unit, configured to determine a detection result of the target vehicle based on the existence duration and the location information; wherein the detection result includes an abnormally stagnant vehicle or a non-abnormally stagnant vehicle.

According to a third aspect of the present disclosure, there is provided an electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the abnormally stalled vehicle described in the first aspect above. Detection method.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the detection of abnormal vehicle stagnation according to the first aspect above. method.

According to a fifth aspect of the present disclosure, there is provided a computer program product, the computer program product comprising: a computer program stored in a readable storage medium, from which at least one processor of an electronic device can The computer program is read by reading the storage medium, and the at least one processor executes the computer program to cause the electronic device to execute the method for detecting abnormal vehicle stagnation according to the first aspect.

According to a sixth aspect of the present disclosure, there is provided an urban vehicle management system including the electronic device as described in the third aspect.

According to the technical solutions of the present disclosure, it is possible to determine whether the vehicle is an abnormally stagnant vehicle.

It should be understood that what is described in this section is not intended to identify key or critical features of embodiments of the disclosure, nor is it intended to limit the scope of the disclosure. Other features of the present disclosure will become readily understood from the following description.

Description of drawings

The accompanying drawings are used for better understanding of the present solution, and do not constitute a limitation to the present disclosure. in:

1 is a schematic diagram of a system framework provided by the present disclosure;

FIG. 2 is a schematic flowchart of a method for detecting abnormal stagnation of a vehicle according to a first embodiment of the present disclosure;

3 is a schematic diagram of a circular first boundary line provided by an embodiment of the present disclosure;

4 is a schematic flowchart of a method for determining the existence duration of a first boundary line according to a second embodiment of the present disclosure;

5 is a schematic diagram of a position corresponding to no continuous multiple GPS data located outside the first boundary line provided by an embodiment of the present disclosure;

6 is a schematic diagram of a position corresponding to a continuous m pieces of GPS data located outside the first boundary line provided by an embodiment of the present disclosure;

7 is a schematic diagram of another kind of continuous m pieces of GPS data corresponding to positions outside the first boundary line provided by an embodiment of the present disclosure;

FIG. 8 is a schematic diagram of another position corresponding to m continuous pieces of GPS data located outside the first boundary line provided by an embodiment of the present disclosure;

9 is a schematic flowchart of a method for determining a detection result of a target vehicle according to a third embodiment of the present disclosure;

10 is a schematic flowchart of a method for judging whether a target vehicle is an abnormally aggregated vehicle according to a fourth embodiment of the present disclosure;

11 is a schematic diagram of a first boundary line corresponding to a target vehicle provided by an embodiment of the present disclosure;

FIG. 12 is a schematic diagram of a second boundary line corresponding to a target vehicle 1 provided by an embodiment of the present disclosure;

FIG. 13 is a schematic diagram of a second area corresponding to a target vehicle 1 provided by an embodiment of the present disclosure;

14 is a schematic structural diagram of an apparatus for detecting abnormal stagnation of a vehicle provided according to a fifth embodiment of the present disclosure;

FIG. 15 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

In the embodiments of the present disclosure, "at least one" refers to one or more, and "a plurality" refers to two or more. "And/or", describing the access relationship of the associated object, indicates that three kinds of relationships can be reserved, for example, A and/or B, it can indicate that A is reserved alone, A and B are reserved at the same time, and B is reserved alone, among which A and B can be singular or plural. In the textual description of the present disclosure, the character "/" generally indicates that the contextual object is an "or" relationship. In addition, in the embodiments of the present disclosure, "first", "second", "third", "fourth", "fifth", and "sixth" are only for the purpose of distinguishing different objects, and nothing else special meaning.

The technical solutions provided by the embodiments of the present disclosure can be applied to scenarios such as detection of abnormally stalled vehicles. In the prior art, when judging whether a vehicle is an abnormal vehicle, the roadside snapshot method is mainly used to capture the parking situation of key vehicles. Abnormal stagnation caused by faults, accidents, etc. cannot be judged, so that it is impossible to judge whether the vehicle is an abnormally stagnant vehicle.

In order to effectively determine whether the vehicle is an abnormally stagnant vehicle, considering that the management department has required key vehicles such as muck trucks, heavy freight vehicles, logistics vehicles, and dangerous vehicles to report the real-time Global Positioning System (GPS) data of the vehicle , where the real-time GPS data includes the driving speed and position information. Therefore, it can be considered that the GPS data reported by the key vehicle can be used as a reference, and the abnormal stagnation judgment is made based on the driving speed and position information of the key vehicle, so as to determine whether the key vehicle is a Unusually stalled vehicles.

Based on the above technical concept, an embodiment of the present disclosure provides a method for detecting abnormal stagnation of a vehicle. For a schematic diagram of the framework of the method, see FIG. 1 . FIG. 1 is a schematic diagram of a system framework provided by the present disclosure. It includes the target vehicle to be detected and the vehicle management system. For example, the vehicle management system may be a server or a vehicle management platform, and the vehicle management platform may be a cloud management platform. Among them, the target vehicle is mainly used to obtain real-time GPS data and report the real-time GPS data to the vehicle management system; the vehicle management system is mainly used to judge abnormal stagnation based on the real-time GPS data reported by the target vehicle, so as to determine whether the target vehicle is abnormal The stalled vehicle realizes the judgment of whether the vehicle is an abnormally stalled vehicle. In addition, if it is determined that the target vehicle is an abnormally stagnant vehicle, further warning information may be sent to the target vehicle.

Hereinafter, the method for detecting abnormal stagnation of a vehicle provided by the present disclosure will be described in detail through specific embodiments. It can be understood that the following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

Example 1

2 is a schematic flowchart of a method for detecting abnormal vehicle stagnation according to a first embodiment of the present disclosure. The method for detecting abnormal vehicle stagnation can be performed by software and/or hardware devices, for example, the hardware device can be a terminal or a server. By way of example, please refer to FIG. 2 , the detection method for abnormal stagnation of the vehicle may include:

S201. Receive real-time GPS data sent by a target vehicle.

Among them, the real-time GPS data includes travel speed and location information. For example, in addition to the driving speed and position information, the real-time GPS data may also include the license plate number of the target vehicle, the reporting time of the real-time GPS data, the ignition status of the target vehicle, the GPS heading angle, etc., which can be carried out according to actual needs. set up.

After receiving the real-time GPS data sent by the target vehicle, it can be determined whether the target vehicle is currently in a stopped state according to the driving speed included in the real-time GPS data, and if it is in a stopped state, the first area containing the location of the target vehicle can be further determined , that is, the following S202 is performed:

S202. If the traveling speed indicates that the target vehicle is in a stopped state, determine a first boundary line of the first area including the location of the target vehicle.

For example, the shape of the first boundary line may be a circle, a rectangle, or other irregular shapes, which may be set according to actual needs. Here, the embodiment of the present disclosure will be described by taking the shape of the first boundary line as a circle as an example, but it does not mean that the embodiment of the present disclosure is limited to this.

It can be understood that, in the embodiment of the present disclosure, the reason why the circular first boundary line is used is that it should be noted that, in the embodiment of the present disclosure, the reason why the first boundary line is circular is for the purpose of Ensure that the perimeter of the first boundary line is equidistant from the vehicle position. For example, when the first boundary line is a circular boundary line, the radius of the circular boundary line can be 15 meters or 16 meters, which can be set according to the drift of the vehicle, that is, the circular boundary line can be compatible with The drift situation of the vehicle can solve the problem of inaccurate results of subsequent abnormal stagnation caused by vehicle drift.

Assuming that the received real-time GPS data indicates that the target vehicle is in a stopped state at point 0, the first boundary line of the first area including point 0 can be determined. For an example, see FIG. 3 , which is an embodiment of the present disclosure. A schematic diagram of a circular first boundary line provided, the first boundary line may be generated based on the previous determination that the target vehicle is in a stopped state, or may be generated when it is currently determined that the target vehicle is in a stopped state, Specifically, it may be set according to actual needs. Here, the timing for generating the first boundary line is not specifically limited in this embodiment of the present disclosure.

It should be noted that after the first boundary line is generated, it does not always exist, but when the deletion condition is satisfied, for example, when multiple consecutive positions are detected outside the first boundary line, it means that the vehicle is no longer in a stagnant state. Then the first boundary line can be deleted. Therefore, in view of the existence duration of the first boundary line, the stagnation duration of the target vehicle can be described to a certain extent, then the existence duration of the first boundary line can be further determined, that is, the following S203 is performed:

S203. Determine the existence duration of the first boundary line according to the GPS data subsequently sent by the target vehicle.

It can be understood that the GPS data sent subsequently can be understood as the GPS data reported by the target vehicle in the time period after reporting the real-time GPS data in the above S201. For the target vehicle, it is also the real-time GPS data reported in the subsequent time period. .

Exemplarily, when determining the duration of the existence of the first boundary line according to the GPS data subsequently sent by the target vehicle, it may be determined whether the target vehicle is in a stopped state according to the driving speed included in the subsequently received GPS data, and whether the target vehicle is in a stopped state may be determined according to the subsequently received GPS data including The location information of the target vehicle determines the location of the target vehicle, so as to determine the existence duration of the first boundary line according to whether the target vehicle is in a stopped state and the location of the target vehicle.

After the existence duration of the first boundary line is determined according to the GPS data subsequently sent by the target vehicle, whether the target vehicle is a stagnant vehicle can be determined only based on the existence duration, but it cannot be determined whether the target vehicle is an abnormally stagnant vehicle. position information, and jointly determine whether the target vehicle is an abnormally stagnant vehicle, that is, execute the following S204:

S204. Determine the detection result of the target vehicle based on the existence duration and location information; wherein the detection result includes an abnormally stagnant vehicle or a non-abnormally stagnant vehicle.

It can be seen that, in the embodiment of the present disclosure, when judging whether the vehicle is an abnormally stagnant vehicle, the real-time GPS data sent by the target vehicle can be received first; if the driving speed included in the real-time GPS data indicates that the target vehicle is in a stopped state, it is determined that the target vehicle is in a stopped state. The first boundary line corresponding to the vehicle; and the duration of the existence of the first boundary line is determined according to the GPS data subsequently sent by the target vehicle; and the detection result of the target vehicle is determined based on the duration of existence and the location information included in the real-time GPS data. The real-time GPS data sent by the target vehicle can accurately identify whether the vehicle is an abnormally stagnant vehicle, realize the judgment of whether the vehicle is an abnormally stagnant vehicle, and can effectively avoid the result error caused by GPS drift, thereby improving the accuracy of the detection result. Accuracy.

In this way, the analysis based on the real-time GPS data sent by the target vehicle and the GPS data sent subsequently can not only effectively judge whether the target vehicle is illegally parked, but also judge the abnormal stagnation caused by the fault, accident and abnormal congestion of the target vehicle, effectively enriching the The management scenarios of abnormal stagnation and abnormal aggregation of target vehicles have been developed, the management dimension has been improved, and a solid technical foundation has been established for the establishment of a "micro-scenario" management mode of abnormal stagnation and abnormal aggregation of target vehicles.

In addition, the license plate number of the target vehicle can be obtained directly from GPS data, which can effectively solve the problem of unclear license plate and inability to confirm the vehicle identity due to objective reasons. The supervision of key vehicles under the conditions of insufficient conditions and serious license plate pollution provides a new idea.

Based on the above embodiment shown in FIG. 2 , in the above S202 , when determining the first boundary line of the preset area including the location of the target vehicle, it may be determined whether there is currently a first boundary line including the preset area of the location of the target vehicle. If the boundary line exists, it means that it may have been in a stopped state before, and the boundary line that already exists in the preset area containing the location of the target vehicle can be directly determined as the first boundary line; on the contrary, if it does not exist, the target vehicle can be used as the first boundary line. The position of the vehicle is the center of the circle, and the first boundary line is generated with the preset length as the radius, so that it can be determined in real time and accurately whether the target vehicle is an abnormally stagnant vehicle based on the existence time and position information of the first boundary line, thereby realizing the detection of abnormal stagnant vehicles. Judgment of whether the vehicle is an abnormally stopped vehicle.

Based on the above-mentioned embodiment shown in FIG. 2 , in order to facilitate the understanding of how to determine the duration of the existence of the first boundary line according to the GPS data subsequently sent by the target vehicle in the above-mentioned S202 , the following embodiment shown in FIG. 4 will be used below. Two are described in detail.

Embodiment 2

4 is a schematic flowchart of a method for determining the existence duration of a first boundary line according to a second embodiment of the present disclosure, and the method for determining the existence duration of a first boundary line can also be executed by software and/or hardware devices. By way of example, as shown in FIG. 4 , the method for determining the existence duration of the first boundary line may include:

S401. Detect whether there is a position corresponding to a plurality of consecutive GPS data located outside the first boundary line in the subsequently sent GPS data.

The number of multiples can be set according to actual needs, and is not specifically limited in this embodiment of the present disclosure. Illustratively, in this embodiment of the present disclosure, the number of multiples may be represented by m, and the number of m may be two.

If it does not exist, execute the following S402; on the contrary, if it exists, execute the following S403.

S402 , if not, continue to receive GPS data subsequently sent by the target vehicle, and continue to detect whether there is a position corresponding to a plurality of consecutive GPS data located outside the first boundary line in the subsequently sent GPS data.

If not, it means that the positions corresponding to the multiple GPS data are still within the first boundary line, the target vehicle is in a stopped state, and the stopped position is the position determined based on the real-time GPS data in the above S201.

5 is a schematic diagram provided by an embodiment of the present disclosure that there is no position corresponding to a plurality of consecutive GPS data located outside the first boundary line. It is assumed that the target vehicle generates a corresponding position at position 0 on the way. The first boundary line of , the subsequent N positions of position 0 can be recorded as positions 2, ..., and positions N are all located within the first boundary line, the target vehicle is in a stagnant state and does not meet the first boundary line deletion condition, then the first boundary line The boundary line continues to be retained. If the existence duration of the first boundary line is greater than or equal to the first preset duration, the target vehicle is determined to be a stagnant vehicle, and the stagnation point is the center of the first boundary line, that is, position 0.

It should be noted that, as shown in FIG. 5 , the stagnant point of the target vehicle is position 0, but it is determined that the target vehicle is at positions 2, . There will be GPS data drift. Even if the actual position 0 of the vehicle remains unchanged, the real-time GPS data sent by it will also change, so that the target vehicle is determined to be at position 2, ..., and Location N.

S403. If there is, determine the duration between the generation time of the first boundary line and the reporting time of the last GPS data in the continuous multiple GPS data as the existence duration of the first boundary line.

If the position corresponding to a plurality of consecutive GPS data is located outside the first boundary line, indicating that the state of the target vehicle is no longer in a stagnant state, the reporting time of the last GPS data in the consecutive plurality of GPS data can be determined, and the first edge The generation time of the boundary line and the reporting time of the last GPS data are determined as the existence duration of the first boundary line.

In addition, if there are positions corresponding to a plurality of consecutive GPS data outside the first boundary line, it means that the deletion condition of the first boundary line is satisfied, and the first boundary line can be deleted; in this way, when the speed of the target vehicle is subsequently detected again as When it is 0, a new first boundary line can be regenerated, so as to realize the update of the first boundary line.

Normally, when it is determined that there are positions corresponding to a plurality of consecutive GPS data located outside the first boundary line, the first boundary line is deleted, which means that the current stagnant behavior of the target vehicle ends. Exemplarily, deleting the first boundary line includes at least three possible scenarios:

Scenario 1: The target vehicle stops briefly on the way.

In this scenario, it can be understood that the target vehicle generates the first boundary line on the way, but does not reach a stagnant state. 6 is a schematic diagram of a position corresponding to m continuous pieces of GPS data located outside the first boundary line provided by an embodiment of the present disclosure. It is assumed that the target vehicle generates a corresponding position at position 0 on the way. The first boundary line, the next position 1 of position 0 is located in the first boundary line, and m consecutive positions after position 1 can be recorded as position 1+1, position 1+2, ..., and position 1+m, all of which are located in the first boundary line. Outside a boundary line, it means that the deletion condition of the first boundary line is satisfied, then the first boundary line can be deleted, so that when the driving speed of the target vehicle is detected to be 0 again, a new first boundary line can be regenerated, Thus, the updating of the first boundary line is realized.

It can be understood that in this scenario, the existence duration of the first boundary line is the duration between the reporting time of GPS data corresponding to position 0 and the reporting time of GPS data corresponding to position 1+m, so that the first boundary line is determined. How long the boundary line exists.

Scenario 2: The vehicle stops on the way.

In this scenario, it can be understood that the target vehicle has reached a stagnant state, and the GPS data will continue to be reported after the stagnation. For example, see FIG. 7 , which is a schematic diagram of another kind of continuous m pieces of GPS data provided by an embodiment of the present disclosure where the corresponding positions are located outside the first boundary line. It is assumed that the target vehicle generates a corresponding position at position 0 on the way. The first boundary line of , the subsequent N positions of position 0 can be recorded as positions 2, ..., and positions N are all located within the first boundary line, and the target vehicle has reached a stagnant state; after the stagnation, the GPS data will continue to be reported. The GPS data determines that m consecutive positions after position N can be recorded as position N+1, position N+2, ..., position N+m, which are all located outside the first boundary line, indicating that the deletion condition of the first boundary line is satisfied. , the first boundary line can be deleted, so that when it is detected that the running speed of the target vehicle is 0 again subsequently, a new first boundary line can be regenerated, thereby realizing the update of the first boundary line.

It can be understood that, in this scenario, the existence duration of the first boundary line is the duration between the reporting time of GPS data corresponding to position 0 and the reporting time of GPS data corresponding to position N+m, so that the first boundary line is determined. How long the boundary line exists.

Scenario 3: The target vehicle stops after forming.

In this scenario, it can be understood that the target vehicle is stagnant after the end of the trip, and continues to report GPS data after the stagnation, and start a new trip. For example, see FIG. 8 . FIG. 8 is a schematic diagram of another kind of continuous m pieces of GPS data provided by an embodiment of the present disclosure where the corresponding positions are located outside the first boundary line. It is assumed that the target vehicle generates a corresponding position at position 0 on the way. The first boundary line of position 0, the subsequent N positions of position 0 can be recorded as positions 2, ..., and position N are all located within the first boundary line, the target vehicle is in a stagnant state, and the GPS is no longer uploaded, indicating that after the target vehicle travel ends In a stagnant state; after starting a new trip, start reporting GPS data. If m consecutive positions are determined based on the continuously reported GPS data, they can be recorded as position 1, position 2, ..., and position m, all of which are located within the first boundary line. In addition, if the deletion condition of the first boundary line is satisfied, the first boundary line can be deleted, so that when the target vehicle’s driving speed is 0 again, a new first boundary line can be regenerated, so as to realize the first boundary line. A boundary line update.

It can be understood that, in this scenario, the existence duration of the first boundary line is the duration between the reporting time of GPS data corresponding to position 0 and the reporting time of GPS data corresponding to position m, thereby determining the first boundary line. duration of existence.

It can be seen that, in the embodiment of the present disclosure, when determining the duration of the existence of the first boundary line, it can be detected whether there is a position corresponding to a plurality of consecutive GPS data located outside the first boundary line in the subsequently sent GPS data. The time length between the generation time of the first boundary line and the reporting time of the last GPS data in the consecutive multiple GPS data is determined as the existence time length of the first boundary line, which improves the accuracy of the existence time length calculation.

Based on the above embodiment shown in FIG. 2 or FIG. 4 , after the existence duration of the first boundary line is determined, the detection result of the target vehicle can be determined based on the existence duration and position information of the first boundary line, that is, the above S203 is executed. . In order to facilitate the understanding of how to determine the detection result of the target vehicle based on the existence duration and position information of the first boundary line in the embodiment of the present disclosure, the following will describe in detail the third embodiment shown in FIG. 9 below.

Embodiment 3

9 is a schematic flowchart of a method for determining a detection result of a target vehicle according to a third embodiment of the present disclosure, and the method for determining a detection result of a target vehicle can also be executed by software and/or hardware devices. For example, referring to FIG. 9 , the method for determining the detection result of the target vehicle may include:

S901. If the existence duration of the first boundary line is greater than or equal to the first preset duration, determine that the target vehicle is a stagnant vehicle.

Wherein, the value of the first preset duration may be set according to actual needs, and here, the embodiment of the present disclosure does not further limit the value of the first preset.

If the existence duration of the first boundary line is less than the first preset duration, referring to the situation shown in FIG. 6 above, it can be understood that the target vehicle stops for a short time on the way and is not a stagnant vehicle; on the contrary, if the existence duration of the first boundary line is greater than or equal to the first preset duration, see the situation shown in Figure 7 or 8 above, it can be understood that the target vehicle is in a stagnant state and belongs to a stagnant vehicle, but whether the target vehicle is an abnormally stagnant vehicle still needs to be combined with the target vehicle. The position information of the vehicle is further judged, that is, the following S902 is executed:

S902 , according to the location information, determine whether the stagnant vehicle is located on the road, and determine the detection result of the stagnant vehicle according to the determination result.

Wherein, the detection results include abnormally parked vehicles or non-abnormally parked vehicles.

When judging whether the stagnant vehicle is located on the road according to the location information, the obtained judgment results may include: the stagnant vehicle is located on the road and the stagnant vehicle is not located on the road. When determining the detection result of the stalled vehicle based on the two judgment results, two situations can be included:

In one case, if the stalled vehicle is located on the road, it can be directly determined that the stalled vehicle is an abnormal stalled vehicle.

Another situation is: if the stagnant vehicle is not located on the road, the target road with the closest distance to the stagnant vehicle is determined, and the detection result of the stagnant vehicle is determined according to the distance.

It can be understood that the reason why the stalled vehicle is not located on the road is because the GPS data may be inaccurate, resulting in the positioning based on the GPS data that the stalled vehicle is not located on the road.

In this case, it is necessary to determine the target road with the closest distance to the stagnant vehicle, and determine the detection result of the stagnant vehicle according to the distance. For example, when determining the detection result of the stalled vehicle according to the distance, if the distance is less than the distance threshold, it means that the stalled vehicle may be on the road, and it can be determined that the stalled vehicle is an abnormal stalled vehicle; if the distance is greater than or equal to the distance threshold, it means that the stalled vehicle is not located on the road. On the road, it can be determined that the stalled vehicle is a non-abnormal stalled vehicle.

For example, after it is determined that the stalled vehicle is an abnormal stalled vehicle, alarm information may also be generated. For example, the alarm information may include the start stall time, the latitude and longitude information of the stall point, and vehicle information, etc., which can be set according to actual needs.

It can be seen that, in the embodiment of the present disclosure, when determining the detection result of the target vehicle, the relationship between the existence duration of the first boundary line and the first preset duration can be determined first. If the existence duration of the first boundary line is greater than or equal to the first For a preset time period, it is determined that the target vehicle is a stagnant vehicle, and according to the position information, it is judged whether the stagnant vehicle is on the road, and the detection result of the stagnant vehicle is determined according to the judgment result. In this way, the detection result of the stalled vehicle is jointly determined based on the existence duration and position information of the first boundary line, which improves the accuracy of the detection result.

Based on any of the above embodiments, after it is determined that the target vehicle is an abnormally stagnant vehicle, it may be further determined whether the target vehicle is an abnormally gathered vehicle based on the result. It can be understood that each of the abnormally aggregated vehicles is an abnormally stationary vehicle. In the following, the following embodiment 4 will be used to describe in detail how to determine whether the target vehicle is an abnormally aggregated vehicle in the embodiment of the present disclosure.

Embodiment 4

10 is a schematic flowchart of a method for judging whether a target vehicle is an abnormally aggregated vehicle according to a fourth embodiment of the present disclosure. The method for judging whether a target vehicle is an abnormally aggregated vehicle can also be executed by software and/or hardware devices. For example, referring to FIG. 10 , the method for judging whether the target vehicle is an abnormally aggregated vehicle may include:

S1001. Determine whether the first boundary line corresponding to the target vehicle has an intersection with the boundary lines corresponding to other vehicles, and if there is an intersection, determine a second boundary line corresponding to the target vehicle, and the second boundary line includes the location of the target vehicle and other vehicles. The boundary line of the second area of the location.

When determining whether the target vehicle is an abnormally aggregated vehicle, it can be determined whether the first boundary line corresponding to the target vehicle has an intersection with the boundary lines corresponding to other vehicles. If there is no intersection, please refer to FIG. A schematic diagram of a first boundary line corresponding to a target vehicle provided by the embodiment indicates that there is no vehicle gathered around the target vehicle 1, and it is determined that the target vehicle does not belong to an abnormally gathered vehicle; on the contrary, if there is an intersection, it is indicated that the target vehicle does not belong to the abnormally gathered vehicle. If there are vehicles gathered around the target vehicle 1, the second boundary line of the second area including the location of the target vehicle and the locations of other vehicles is determined, and the number of abnormally parked vehicles included in the second area is further determined.

Exemplarily, the shape of the second boundary line may be a circle, a rectangle, or other irregular shapes, which may be set according to actual needs. Here, the embodiment of the present disclosure will be described by taking the shape of the second boundary line as a circle as an example, but it does not mean that the embodiment of the present disclosure is limited to this.

For example, when generating the second boundary line, assuming that it is currently judged whether the target vehicle 1 is an abnormally aggregated vehicle, the stagnation point of the target vehicle 1 can be used as the center of the circle, and the second boundary corresponding to the target vehicle 1 can be generated with a preset radius. Wire. 12 is a schematic diagram of a second boundary line corresponding to a target vehicle 1 provided by an embodiment of the present disclosure, wherein the large circle in the outer layer is the second boundary line corresponding to the target vehicle 1 , the second boundary line takes the stagnation point of the target vehicle 1 as the center of the circle, and uses the preset radius to generate the second boundary line corresponding to the target vehicle 1; The second boundary line corresponding to the target vehicle 1 is generated, which can be set according to actual needs. Here, in the embodiment of the present disclosure, the stagnation point of the target vehicle 1 is used as the center of the circle, and the second boundary line corresponding to the target vehicle 1 is generated with a preset radius. Two boundary lines are taken as an example for description, but it does not mean that the embodiments of the present disclosure are limited thereto.

The value of the preset radius may be 200 meters, 201 meters, etc., which may be set according to actual needs. Here, the value of the preset radius is not further limited by the embodiment of the present disclosure.

After the second boundary line of the second area including the location of the target vehicle and the locations of other vehicles is determined, the number of abnormally stagnant vehicles included in the second area can be determined at every second preset time interval, that is, the following The S1002 is described to determine whether the target vehicle is an abnormally stopped vehicle according to the number of abnormally stopped vehicles.

S1002. Determine the number of abnormally stagnant vehicles included in the second area every second preset time period.

The value of the second preset duration can be set according to actual needs. For example, in this embodiment of the present disclosure, the second preset duration may be 5 minutes.

It can be understood that the shape of the second region may be determined according to the shape of the second boundary line. Exemplarily, when the second boundary line is a rectangular boundary line, the corresponding second area is a rectangular area enclosed by the second boundary line; when the second boundary line is a circular boundary line, the corresponding second area is the second area. For the circular area enclosed by the boundary line, as shown in FIG. 12 , the second area is the circular area enclosed by the second boundary line.

S1003. Determine the aggregation state of the target vehicle according to the number of abnormally parked vehicles.

For example, when determining the aggregation state of the target vehicle according to the number of abnormally stalled vehicles, if the number of abnormally stalled vehicles is greater than or equal to a preset value, it is determined that the aggregation state of the target vehicle is an abnormal aggregation state, and the aggregation state of the target vehicle is abnormal. The aggregation state indicates that the target vehicle is an abnormally aggregated vehicle; for an example, refer to FIG. 13 , which is a schematic diagram of a second area corresponding to a target vehicle 1 provided by an embodiment of the present disclosure. It can be seen that the second area In addition to the abnormally stagnant vehicle 1, the area also includes an abnormally stagnant vehicle 2 and an abnormally stagnant vehicle 3. If the preset value is 3, the target vehicle can be an abnormally aggregated vehicle; if the number of abnormally stagnant vehicles is less than the preset value , then it is determined that the aggregation state of the target vehicle is an abnormal non-aggregation state, and the aggregation state of the target vehicle is a non-abnormal aggregation state, indicating that the target vehicle is a non-abnormal aggregation vehicle.

The value of the preset value can be set according to actual needs. For example, in this embodiment of the present disclosure, the preset value may be 3.

In addition, after it is determined that the target vehicle is an abnormally stagnant vehicle, abnormal aggregation alarm information can also be generated. Since abnormal aggregation is a continuous process, the abnormal aggregation alarm information can include the alarm start time, the current number of vehicles in aggregation, and the number of vehicles in aggregation. The number of peaks, the current aggregated license plate number, and the duration of the alarm, etc., can be set according to actual needs. After the abnormal accumulation alarm ends, continue to judge the number of abnormally stagnant vehicles included in the second area at every second preset time period, and if the number of abnormally stagnant vehicles is greater than or equal to the preset value, determine that the target vehicle is an abnormally aggregated vehicle , and generate a new abnormal aggregation alarm message.

It can be seen that, in the embodiment of the present disclosure, when judging whether a vehicle is an abnormally aggregated vehicle, it can be determined whether the first boundary line corresponding to the target vehicle has an intersection with the boundary lines corresponding to other vehicles, and if there is an intersection, the target vehicle is determined. The corresponding second boundary line; every second preset time period, determine the number of abnormally stagnant vehicles included in the second area; and then determine the aggregation state of the target vehicle according to the number of abnormally stagnant vehicles, so that the target vehicle can be accurately identified. Whether it is an abnormally aggregated vehicle, and can effectively avoid the result error caused by GPS drift, thereby improving the accuracy of the recognition result.

Embodiment 5

FIG. 14 is a schematic structural diagram of an apparatus 140 for detecting abnormal stagnation of a vehicle provided according to a fifth embodiment of the present disclosure. For example, please refer to FIG. 14 , the apparatus 140 for detecting abnormal stagnation of a vehicle may include:

The receiving unit 1401 is configured to receive real-time GPS data sent by the target vehicle; wherein, the real-time GPS data includes traveling speed and position information.

The first determining unit 1402 is configured to determine a first boundary line of the first area including the location of the target vehicle if the traveling speed indicates that the target vehicle is in a stopped state.

The second determining unit 1403 is configured to determine the existence duration of the first boundary line according to the GPS data subsequently sent by the target vehicle.

The third determining unit 1404 is configured to determine the detection result of the target vehicle based on the existence duration and the location information; wherein the detection result includes an abnormally stagnant vehicle or a non-abnormally stagnant vehicle.

Optionally, the third determination unit 1404 includes a first determination module and a second determination module.

The first determination module is configured to determine that the target vehicle is a stagnant vehicle if the existence duration of the first boundary line is greater than or equal to the first preset duration.

The second determination module is configured to determine whether the stagnant vehicle is located on the road according to the position information, and determine the detection result of the stagnant vehicle according to the determination result.

Optionally, the second determination module includes a first determination submodule and a second determination submodule.

The first determination sub-module is configured to determine that the stagnant vehicle is an abnormally stagnant vehicle if the stagnant vehicle is located on the road.

The second determination sub-module is configured to determine the target road with the closest distance to the stagnant vehicle if the stagnant vehicle is not located on the road, and determine the detection result of the stagnant vehicle according to the distance.

Optionally, the second determination sub-module is specifically configured to determine that the stagnant vehicle is an abnormally stagnant vehicle if the distance is less than the distance threshold; if the distance is greater than or equal to the distance threshold, determine that the stagnant vehicle is a non-abnormally stagnant vehicle.

Optionally, the second determination unit 1403 includes a third determination module and a fourth determination module.

The third determination module is configured to detect whether there is a position corresponding to a plurality of consecutive GPS data located outside the first boundary line in the GPS data sent subsequently.

The fourth determining module is configured to, if it exists, determine the duration between the generation time of the first boundary line and the reporting time of the last GPS data in the continuous multiple GPS data as the existence duration of the first boundary line.

Optionally, the first determination unit 1402 includes a fifth determination module and a sixth determination module.

The fifth determination module is configured to determine whether there is a first boundary line including a preset area where the target vehicle is located.

The sixth determination module is used for generating a first boundary line with the position of the target vehicle as the center of the circle and the preset length as the radius if it does not exist.

Optionally, the apparatus 140 for detecting abnormal vehicle stagnation further includes a fourth determination unit, a processing unit and a fifth determination unit.

The fourth determination unit is used to determine whether there is an intersection between the first boundary line corresponding to the target vehicle and the boundary lines corresponding to other vehicles, and if there is an intersection, determine the second boundary line corresponding to the target vehicle, and the second boundary line includes the target vehicle. The boundary line of the second area between the location and the location of other vehicles.

The processing unit is configured to determine the number of abnormally stalled vehicles included in the second area every second preset time period.

The fifth determination unit is configured to determine the aggregation state of the target vehicles according to the number of abnormally stalled vehicles.

Optionally, the fifth determination unit includes a seventh determination module and an eighth determination module.

The seventh determination module is configured to determine that the aggregation state of the target vehicle is an abnormal aggregation state if the number of abnormally stalled vehicles is greater than or equal to a preset value.

The eighth determination module is configured to determine that the aggregation state of the target vehicle is an abnormal non-aggregation state if the number of abnormally stalled vehicles is less than a preset value.

The apparatus 140 for detecting abnormal vehicle stagnation provided by the embodiment of the present disclosure can implement the technical solution of the method for detecting abnormal vehicle stagnation shown in any of the above embodiments, the implementation principle and beneficial effects thereof, and the realization principle of the method for detecting abnormal vehicle stagnation Similar to the beneficial effects, please refer to the implementation principle and beneficial effects of the method for detecting abnormal vehicle stagnation, which will not be repeated here.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, a computer program product, and a city vehicle management system. Wherein, the urban vehicle management system includes the above electronic equipment.

According to an embodiment of the present disclosure, the present disclosure also provides a computer program product, the computer program product includes: a computer program, the computer program is stored in a readable storage medium, and at least one processor of the electronic device can read from the readable storage medium A computer program is taken, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the foregoing embodiments.

FIG. 15 is a schematic block diagram of an electronic device 150 provided by an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein.

As shown in FIG. 15 , the device 150 includes a computing unit 1501 that can be executed according to a computer program stored in a read only memory (ROM) 1502 or a computer program loaded from a storage unit 1508 into a random access memory (RAM) 1503 Various appropriate actions and handling. In the RAM 1503, various programs and data necessary for the operation of the device 150 can also be stored. The computing unit 1501 , the ROM 1502 , and the RAM 1503 are connected to each other through a bus 1504 . An input/output (I/O) interface 1505 is also connected to bus 1504 .

Various components in the device 150 are connected to the I/O interface 1505, including: an input unit 1506, such as a keyboard, mouse, etc.; an output unit 1507, such as various types of displays, speakers, etc.; a storage unit 1508, such as a magnetic disk, an optical disk, etc. ; and a communication unit 1509, such as a network card, modem, wireless communication transceiver, and the like. The communication unit 1509 allows the device 150 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

Computing unit 1501 may be various general-purpose and/or special-purpose processing components with processing and computing capabilities. Some examples of computing units 1501 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various specialized artificial intelligence (AI) computing chips, various computing units that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1501 executes the various methods and processes described above, such as a detection method for abnormally stalled vehicles. For example, in some embodiments, a method of detecting an abnormally stalled vehicle may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 1508 . In some embodiments, part or all of the computer program may be loaded and/or installed on device 150 via ROM 1502 and/or communication unit 1509 . When the computer program is loaded into the RAM 1503 and executed by the computing unit 1501, one or more steps of the above-described detection method for abnormal vehicle standstill may be performed. Alternatively, in other embodiments, the computing unit 1501 may be configured by any other suitable means (eg, by means of firmware) to perform the detection method of abnormal vehicle standstill.

Various implementations of the systems and techniques described herein above may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips system (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpretable on a programmable system including at least one programmable processor that The processor, which may be a special purpose or general-purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device an output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer or other programmable data processing apparatus, such that the program code, when executed by the processor or controller, performs the functions/functions specified in the flowcharts and/or block diagrams. Action is implemented. The program code may execute entirely on the machine, partly on the machine, partly on the machine and partly on a remote machine as a stand-alone software package or entirely on the remote machine or server.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in connection with the instruction execution system, apparatus or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), fiber optics, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having a display device (eg, a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user ); and a keyboard and pointing device (eg, a mouse or trackball) through which a user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (eg, visual feedback, auditory feedback, or tactile feedback); and can be in any form (including acoustic input, voice input, or tactile input) to receive input from the user.

The systems and techniques described herein may be implemented on a computing system that includes back-end components (eg, as a data server), or a computing system that includes middleware components (eg, an application server), or a computing system that includes front-end components (eg, a user's computer having a graphical user interface or web browser through which a user may interact with implementations of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communication network). Examples of communication networks include: Local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

A computer system can include clients and servers. Clients and servers are generally remote from each other and usually interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or a cloud host. It is a host product in the cloud computing service system to solve the traditional physical host and VPS service ("Virtual Private Server", or "VPS" for short). Among them, the management of retention is difficult and the business expansion is weak. The server can also be a server of a distributed system, or a server combined with a blockchain.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, the steps described in the present disclosure can be executed in parallel, sequentially, or in different orders. As long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, there is no limitation herein.

The above-mentioned specific embodiments do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present disclosure should be included within the protection scope of the present disclosure.

Claims (20)

1. A method of detecting abnormal stagnation of a vehicle, comprising:

receiving real-time GPS data sent by a target vehicle; the real-time GPS data comprises driving speed and position information;

if the running speed indicates that the target vehicle is in a stopped state, determining a first boundary line of a first area containing the position of the target vehicle;

determining the existence duration of the first boundary line according to the GPS data subsequently sent by the target vehicle;

determining a detection result of the target vehicle based on the existing duration and the position information; wherein the detection result comprises an abnormally-stagnant vehicle or a non-abnormally-stagnant vehicle.

2. The method according to claim 1, wherein the determining a detection result of the target vehicle based on the existence duration of the first boundary line and the position information includes:

if the existing duration of the first boundary line is greater than or equal to a first preset duration, determining that the target vehicle is a stagnant vehicle;

and judging whether the stagnation vehicle is positioned on the road according to the position information, and determining the detection result of the stagnation vehicle according to the judgment result.

3. The method of claim 2, wherein the determining a detection result of the stuck vehicle according to the determination result comprises:

if the stagnation vehicle is located on the road, determining that the stagnation vehicle is an abnormal stagnation vehicle;

and if the stagnation vehicle is not positioned on the road, determining a target road closest to the stagnation vehicle, and determining the detection result of the stagnation vehicle according to the distance.

4. The method of claim 3, wherein said determining a detection of the stuck vehicle as a function of the distance comprises:

if the distance is smaller than a distance threshold value, determining that the stopped vehicle is an abnormal stopped vehicle;

and if the distance is greater than or equal to the distance threshold value, determining that the stagnation vehicle is a non-abnormal stagnation vehicle.

5. The method of any of claims 1-4, wherein determining the length of time the first boundary line exists based on subsequently transmitted GPS data from the target vehicle comprises:

detecting whether the position corresponding to a plurality of continuous GPS data exists in the subsequently sent GPS data and is positioned outside the first boundary line;

if the first boundary line exists, determining the time length between the generation time of the first boundary line and the reporting time of the last GPS data in the continuous multiple GPS data as the existence time length of the first boundary line.

6. The method of any of claims 1-5, wherein the determining a first boundary line of a preset area containing a location of the target vehicle comprises:

judging whether a first boundary line of a preset area containing the position of the target vehicle exists or not;

and if the first boundary line does not exist, the position of the target vehicle is taken as the center of a circle, and the preset length is taken as the radius to generate the first boundary line.

7. The method of any of claims 1-6, further comprising:

judging whether a first boundary line corresponding to the target vehicle is intersected with boundary lines corresponding to other vehicles or not, and if so, determining a second boundary line corresponding to the target vehicle, wherein the second boundary line is a boundary line of a second area including the position of the target vehicle and the position of the other vehicles;

judging the number of abnormally-stagnant vehicles in the second area every second preset time interval;

determining an aggregation state of the target vehicle according to the number of the abnormally-stagnant vehicles.

8. The method of claim 7, wherein said determining an aggregate status of the target vehicles based on the number of abnormally-stagnant vehicles comprises:

if the number of the abnormally-stagnant vehicles is greater than or equal to a preset value, determining that the aggregation state of the target vehicle is an abnormal aggregation state;

and if the number of the abnormally-stagnant vehicles is smaller than the preset value, determining that the aggregation state of the target vehicle is an abnormal non-aggregation state.

9. A detection device for abnormal stagnation of a vehicle, comprising:

the receiving unit is used for receiving real-time GPS data sent by a target vehicle; the real-time GPS data comprises driving speed and position information;

a first determination unit configured to determine a first boundary line of a first area including a position of the target vehicle if the travel speed indicates that the target vehicle is in a stopped state;

the second determining unit is used for determining the existence duration of the first boundary line according to the GPS data subsequently sent by the target vehicle;

a third determination unit configured to determine a detection result of the target vehicle based on the length of existence time and the position information; wherein the detection result comprises an abnormally-stagnant vehicle or a non-abnormally-stagnant vehicle.

10. The apparatus of claim 9, wherein the third determination unit comprises a first determination module and a second determination module;

the first determining module is used for determining that the target vehicle is a dead vehicle if the existing duration of the first boundary line is greater than or equal to a first preset duration;

the second determination module is used for judging whether the stagnation vehicle is positioned on the road according to the position information and determining the detection result of the stagnation vehicle according to the judgment result.

11. The apparatus of claim 10, wherein the second determination module comprises a first determination submodule and a second determination submodule;

the first determining submodule is used for determining that the stagnation vehicle is an abnormal stagnation vehicle if the stagnation vehicle is located on the road;

the second determining submodule is used for determining a target road closest to the stagnant vehicle if the stagnant vehicle is not located on the road, and determining a detection result of the stagnant vehicle according to the distance.

12. The apparatus of claim 11, wherein the first and second electrodes are disposed in a substantially cylindrical configuration,

the second determining submodule is specifically configured to determine that the stopped vehicle is an abnormally stopped vehicle if the distance is smaller than a distance threshold; and if the distance is greater than or equal to the distance threshold value, determining that the stagnation vehicle is a non-abnormal stagnation vehicle.

13. The apparatus according to any of claims 9-12, the second determining unit comprising a third determining module and a fourth determining module;

the third determining module is configured to detect whether the subsequently sent GPS data has a position corresponding to a plurality of consecutive GPS data that is located outside the first boundary line;

the fourth determining module is configured to determine, if the first boundary line exists, a time duration between the generation time of the first boundary line and the reporting time of the last GPS data in the consecutive multiple pieces of GPS data as an existence time duration of the first boundary line.

14. The apparatus according to any one of claims 9-13, wherein the first determining unit comprises a fifth determining module and a sixth determining module;

the fifth determining module is used for judging whether a first boundary line of a preset area containing the position of the target vehicle exists or not;

and the sixth determining module is used for generating the first boundary line by taking the position of the target vehicle as a circle center and a preset length as a radius if the first boundary line does not exist.

15. The apparatus according to any of claims 9-14, further comprising a fourth determining unit, a processing unit and a fifth determining unit;

the fourth determining unit is configured to determine whether a first boundary line corresponding to the target vehicle intersects with a boundary line corresponding to another vehicle, and if the first boundary line intersects with the boundary line corresponding to another vehicle, determine a second boundary line corresponding to the target vehicle, where the second boundary line is a boundary line of a second area including a position where the target vehicle is located and a position where the another vehicle is located;

the processing unit is used for judging the number of abnormally stagnant vehicles in the second area every second preset time interval;

the fifth determination unit is configured to determine the aggregation state of the target vehicles according to the number of the abnormally-stagnant vehicles.

16. The apparatus of claim 15, wherein the fifth determining unit comprises a seventh determining module and an eighth determining module;

the seventh determining module is configured to determine that the aggregation state of the target vehicle is an abnormal aggregation state if the number of abnormally stagnant vehicles is greater than or equal to a preset value;

the eighth determining module is configured to determine that the aggregation state of the target vehicle is an abnormal non-aggregation state if the number of abnormally stagnant vehicles is less than the preset value.

17. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of detecting vehicle anomalous retardation of any one of claims 1 to 8.

18. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method for detecting abnormal stoppage of a vehicle according to any one of claims 1 to 8.

19. A computer program product comprising a computer program which, when executed by a processor, carries out the steps of the method of detecting abnormal standstill of a vehicle according to any one of claims 1 to 8.

20. An urban vehicle management system comprising the electronic device of claim 17.

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