CN111540209B - Vehicle aggregation monitoring method and computer-readable storage medium - Google Patents
Vehicle aggregation monitoring method and computer-readable storage medium Download PDFInfo
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- CN111540209B CN111540209B CN202010397152.5A CN202010397152A CN111540209B CN 111540209 B CN111540209 B CN 111540209B CN 202010397152 A CN202010397152 A CN 202010397152A CN 111540209 B CN111540209 B CN 111540209B
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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Abstract
The invention discloses a vehicle aggregation monitoring method and a computer readable storage medium, wherein an initial monitoring area is freely selected according to an actual construction boundary, and a target monitoring area is defined in an outward expansion mode according to the distribution condition of surrounding motor vehicle roads. Therefore, the target monitoring area is directly opposite to different target monitoring areas, the degree of freedom is higher according to local conditions, and the monitoring range is more accurate. Or the probability of the vehicle aggregation event is judged through the three dimensions of the first feature dimension, the second feature dimension and the third feature dimension, and the accuracy can be improved.
Description
Technical Field
The present invention relates to the field of vehicle aggregation monitoring technologies, and in particular, to a vehicle aggregation monitoring method and a computer-readable storage medium.
Background
At present, the number of taxies in cities is increasing, some lawless persons can make articles on the taxies, and many cities have accidents that the taxies are gathered in a certain area of the city and even are illegally gathered, so that bad influence is caused on urban traffic and social life, and huge direct economic loss is generated. Therefore, if a taxi strike can be found in time, the method has important significance for facilitating people to go out and reducing economic loss.
Disclosure of Invention
The embodiment of the invention provides a vehicle aggregation monitoring method and a computer readable storage medium, which are used for improving the accuracy of judging vehicle aggregation events.
In a first aspect, an embodiment of the present invention provides a vehicle aggregation monitoring method, including:
according to the motor vehicle road distribution condition around the actual construction boundary of the initial monitoring area, the actual construction boundary of the initial monitoring area is expanded outwards to form a target detection area;
acquiring information of all motor vehicles in the target detection area;
determining whether a vehicle aggregation event occurs in the target detection area according to the information of all the motor vehicles in the target detection area;
and when the vehicle aggregation event is determined to occur in the target detection area, giving an alarm prompt.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, the expanding the actual construction boundary of the initial monitoring area outward to form a target detection area according to the distribution of the vehicle roads around the actual construction boundary of the initial monitoring area includes:
determining whether a motor vehicle road exists in a range which is located around the initial monitoring area and is a first preset distance away from the actual construction boundary;
and if not, expanding the actual construction boundary of the initial monitoring area outwards by the first preset distance to form a target detection area.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, if it is determined that the vehicle is located around the initial monitoring area and within a first preset distance from the actual construction boundary, there is a motor vehicle road;
taking motor vehicle roads which are positioned around the initial monitoring area and are within a first preset distance range from the actual construction boundary as initial extended roads;
extending the initial extended road outwards by a second preset distance to one side far away from the actual construction boundary along the extending direction of the initial extended road to form a target extended road;
and in the extending direction perpendicular to the target extension road, extending the actual construction boundary to a third preset distance away from the boundary of the target extension road to form the boundary of the target detection area.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, the second preset distance is determined according to a grade of an urban road to which the initial extended road belongs, where the higher the grade of the urban road to which the initial extended road belongs is, the larger the second preset distance is, the faster the speed of the motor vehicle allowed by the initial extended road is.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, the third preset distance is greater than or equal to the second preset distance.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, the determining whether a vehicle aggregation event occurs in the target detection area according to information of all motor vehicles in the target detection area includes:
determining a first characteristic dimension according to the attribute information of each motor vehicle in the target detection area, and determining a second characteristic dimension and the number of unloaded motor vehicles in the target detection area according to the real-time information of each motor vehicle in the target detection area;
determining a third characteristic dimension according to the number of unloaded motor vehicles in the target detection area and an unloaded vehicle threshold value of the target detection area;
determining the probability of a vehicle aggregation event occurring within the target detection area according to at least one of the first, second, and third feature dimensions;
and when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the target detection area.
Optionally, in the vehicle aggregation monitoring method provided by the embodiment of the present invention, the motor vehicle is a taxi;
the attribute information of the taxi comprises: basic information of the taxi, basic information of a driver and basic information of a taxi enterprise;
the real-time information of the taxi comprises the following steps: the taxi service information comprises GPS information of the taxi, operation information of the taxi and passenger carrying state information of the taxi.
In a second aspect, an embodiment of the present invention provides a vehicle aggregation monitoring method, including:
determining the range of the detection area;
acquiring attribute information and real-time information of each motor vehicle in the detection area;
determining a first characteristic dimension according to attribute information of each motor vehicle in a detection area, and determining a second characteristic dimension and the number of idle vehicles in the detection area according to real-time information of each motor vehicle in the detection area;
determining a third characteristic dimension according to the number of the empty vehicles in the detection area and an empty vehicle threshold value;
determining a probability of a vehicle aggregation event occurring within the detection area according to at least one of the first, second, and third feature dimensions;
and when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the detection area, and giving an alarm.
Optionally, in the vehicle aggregation monitoring method provided by the embodiment of the present invention, the motor vehicle is a taxi;
the attribute information of the taxi comprises: basic information of the taxi, basic information of a driver and basic information of a taxi enterprise;
the real-time information of the taxi comprises the following steps: the taxi service information comprises GPS information of the taxi, operation information of the taxi and passenger carrying state information of the taxi.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored in the storage medium, and when executed by a processor, the computer instructions implement any one of the above methods provided by the embodiment of the present invention.
The invention has the following beneficial effects:
according to the vehicle aggregation monitoring method and the computer-readable storage medium provided by the embodiment of the invention, the initial monitoring area is freely selected according to the actual construction boundary, and the target monitoring area is defined in an outward expansion mode according to the road distribution condition of surrounding motor vehicles. Therefore, the target monitoring area is directly opposite to different target monitoring areas, the degree of freedom is higher according to local conditions, and the monitoring range is more accurate. Or the probability of the vehicle aggregation event is judged through the three dimensions of the first feature dimension, the second feature dimension and the third feature dimension, and the accuracy can be improved.
Drawings
Fig. 1 is a flowchart of a vehicle aggregation monitoring method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating the formation of a target detection area in a vehicle aggregation monitoring method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of forming a target detection area according to an embodiment of the present invention;
FIG. 4 is a second schematic diagram illustrating the formation of a target detection area according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a method for determining whether a vehicle aggregation event occurs in a target detection area according to information of all vehicles in the target detection area according to an embodiment of the present invention;
fig. 6 is a flowchart of a vehicle aggregation monitoring method according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, the present invention is further described with reference to the accompanying drawings and examples. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus their repetitive description will be omitted. The words expressing the position and direction described in the present invention are illustrated in the accompanying drawings, but may be changed as required and still be within the scope of the present invention. The drawings of the present invention are for illustrative purposes only and do not represent true scale.
It should be noted that in the following description, specific details are set forth in order to provide a thorough understanding of the present invention. The invention can be implemented in a number of ways different from those described herein and similar generalizations can be made by those skilled in the art without departing from the spirit of the invention. Therefore, the present invention is not limited to the specific embodiments disclosed below. The description which follows is a preferred embodiment of the present application, but is made for the purpose of illustrating the general principles of the application and not for the purpose of limiting the scope of the application. The protection scope of the present application shall be subject to the definitions of the appended claims.
The following describes a vehicle aggregation monitoring method and a computer-readable storage medium according to an embodiment of the present invention with reference to the accompanying drawings.
An embodiment of the present invention provides a vehicle aggregation monitoring method, as shown in fig. 1, including:
s101, according to the motor vehicle road distribution situation around the actual construction boundary of the initial monitoring area, the actual construction boundary of the initial monitoring area is expanded outwards to form a target detection area;
s102, acquiring information of all motor vehicles in a target detection area;
s103, determining whether a vehicle aggregation event occurs in the target detection area according to the information of all the motor vehicles in the target detection area;
and S104, when the vehicle aggregation event is determined to occur in the target detection area, giving an alarm.
According to the vehicle aggregation monitoring method provided by the embodiment of the invention, firstly, according to the motor vehicle road distribution condition around the actual construction boundary of the initial monitoring area, the actual construction boundary of the initial monitoring area is expanded outwards to form a target detection area; then acquiring information of all motor vehicles in the target detection area; determining whether a vehicle aggregation event occurs in the target detection area according to the information of all the motor vehicles in the target detection area; and if so, alarming and prompting. According to the vehicle aggregation detection method provided by the embodiment of the invention, the initial monitoring area is freely selected according to the actual construction boundary, and the target monitoring area is defined in an outward expansion mode according to the road distribution condition of surrounding motor vehicles. Therefore, the target monitoring area is directly opposite to different target monitoring areas, the degree of freedom is higher according to local conditions, and the monitoring range is more accurate.
In a specific implementation, the motor vehicle may include a taxi, a private car, a van, and the like, and is not limited herein. The vehicle aggregation monitoring method provided by the embodiment of the invention is particularly suitable for monitoring the aggregation of taxies, and therefore, the motor vehicle is a taxi.
Optionally, in the vehicle aggregation monitoring method according to the embodiment of the present invention, as shown in fig. 2, step S101 is to expand the actual construction boundary of the initial monitoring area outward to form a target detection area according to the distribution of the vehicle roads around the actual construction boundary of the initial monitoring area, and includes:
s1011, determining whether a motor vehicle road exists in a range which is located around the initial monitoring area and is a first preset distance away from the actual construction boundary; if not, step S1012 is performed.
And S1012, expanding the actual construction boundary of the initial monitoring area outwards by a first preset distance to form a target detection area.
In specific implementation, in the vehicle aggregation monitoring method provided by the embodiment of the invention, if there is no motor vehicle road in the range of the first preset distance from the actual construction boundary, the actual construction boundary is extended outward by the first preset distance along the normal direction thereof to form the boundary of the target detection area.
Alternatively, in the vehicle collection monitoring method according to the embodiment of the present invention, as shown in fig. 2, after step S1011, if it is determined that there is a motor vehicle road within a range of a first preset distance from the actual construction boundary around the initial monitoring area, step S1013 is performed.
S1013, taking the motor vehicle road which is positioned around the initial monitoring area and is within a first preset distance range from the actual construction boundary as an initial expansion road;
s1014, expanding the initial expanded road outwards by a second preset distance to one side far away from the actual construction boundary along the extending direction of the initial expanded road to form a target expanded road;
and S1015, expanding the actual construction boundary to a third preset distance from the boundary of the target expansion road in the extending direction perpendicular to the target expansion road to form the boundary of the target detection area.
In specific implementation, referring to fig. 3, if there is no motor road 01 around the initial monitoring zone a1 within a first preset distance range from the actual construction boundary thereof, the actual construction boundary of the initial monitoring zone a1 is extended outward by the first preset distance S1 to form a target detection zone a 2. Referring to fig. 4, if there is an automobile road in the range of the first preset distance S1 from the actual construction boundary around the initial monitoring area a1, the automobile road in the range of the first preset distance S1 from the actual construction boundary around the initial monitoring area a1 is used as the initial extension road (the automobile road filled with the grid in fig. 4), the initial extension road is extended outward by the second preset distance S2 from the actual construction boundary along the extension direction X to form the target extension road (the automobile road filled with the grid and the oblique lines in fig. 4), and the actual construction boundary is extended to the boundary of the target extension road in the extension direction X perpendicular to the target extension road, and then the actual construction boundary is extended outward by the third preset distance S3 from the actual construction boundary to form the boundary of the target detection area a 2.
Fig. 3 and fig. 4 are only for schematically illustrating how to expand the initial monitoring area into the target detection area according to the vehicle road distribution around the actual construction boundary of the initial monitoring area in the vehicle aggregation detection method provided by the embodiment of the present invention, and in specific implementation, the range of the target detection area is related to the vehicle road distribution around the target detection area.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, the second preset distance is determined according to a grade of an urban road to which the initial extended road belongs, where the higher the grade of the urban road to which the initial extended road belongs, the larger the second preset distance is, the faster the speed of the motor vehicle allowed by the initial extended road is.
In specific implementation, according to the urban motor vehicle lane construction standard of China, the urban motor vehicle road grade level is divided into four levels, namely an expressway, a main road, a secondary road and a branch road. Wherein, the express way: the urban road is provided with a central separation belt, more than four motor vehicle lanes are arranged in the urban road, and all or part of the urban road is provided with a road for vehicles to run at a higher speed by adopting the vertical crossing and controlling the access. Also known as a lane dedicated to automobiles. The designed traveling speed of the express way is 60-100 km/h. A trunk road: the main road connecting each subarea of the city is mainly used for traffic function. The designed traveling speed of the main road is 40-60 km/h. Secondary main road: the system plays a role in traffic collection and distribution between the trunk road and each sub-area and has a service function. The designed traveling speed of the secondary trunk road is 30-50 km/h. Branch circuit: the connection line between the secondary main road and the street road (the residential road) is mainly used for service function. The designed traveling speed of the branch is 20-40 km/h.
In specific implementation, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, when the initial extended road belongs to an expressway, the second preset distance is the largest, and when the initial extended road belongs to a branch road, the second preset distance is the smallest.
Specifically, in the vehicle aggregation monitoring method provided by the embodiment of the present invention, the second preset distance may be selected from a range of 10m to 100m, which is not limited herein.
Optionally, in the vehicle aggregation monitoring method provided by the embodiment of the invention, the third preset distance is greater than or equal to the second preset distance. For example, the third predetermined distance is equal to 2 times the second predetermined distance, which is not limited herein.
Optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, determining whether a vehicle aggregation event occurs in the target detection area according to information of all the motor vehicles in the target detection area includes:
determining the number of all motor vehicles in the target detection area according to the information of all motor vehicles in the target detection area;
and if the number of the motor vehicles exceeds a first threshold value, determining that a vehicle aggregation event occurs in the target detection area.
In particular implementation, the first threshold may be set empirically according to the location of the target detection area.
Further, in order to improve the detection accuracy, optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, determining whether a vehicle aggregation event occurs in the target detection area according to information of all the motor vehicles in the target detection area includes:
determining the number of motor vehicles with the speed lower than the preset speed in the target detection area according to the information of all the motor vehicles in the target detection area;
and if the determined number of motor vehicles exceeds a second threshold value, determining that a vehicle aggregation event occurs in the target detection area.
In particular implementation, the second threshold may be set empirically according to the location of the target detection area.
In specific implementation, the running speed of the motor vehicles around the station is low, or the traffic jam can happen in the morning and evening at the peak. Therefore, the error in the scene such as the early and late peak periods or the station is large only by the time simply according to the judgment method of the number of vehicles lower than the preset speed.
Therefore, in order to improve the accuracy of detection, optionally, in the vehicle aggregation monitoring method provided in the embodiment of the present invention, as shown in fig. 5, the step S103 of determining whether a vehicle aggregation event occurs in the target detection area according to the information of all the vehicles in the target detection area includes:
s1031, determining a first characteristic dimension according to attribute information of each motor vehicle in the target detection area, and determining a second characteristic dimension and the number of unloaded motor vehicles in the target detection area according to real-time information of each motor vehicle in the target detection area;
s1032, determining a third characteristic dimension according to the number of unloaded motor vehicles in the target detection area and an unloaded vehicle threshold value of the target detection area;
s1033, determining the probability of vehicle aggregation events in the target detection area according to the first characteristic dimension, the second characteristic dimension and the third characteristic dimension;
s1034, when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the target detection area.
Optionally, in the vehicle aggregation monitoring method provided by the embodiment of the present invention, the motor vehicle is a taxi;
the attribute information of the taxi includes: basic information of a taxi, basic information of a driver and basic information of a taxi enterprise;
the real-time information of the taxi comprises: the taxi service system comprises GPS information of the taxi, operation information of the taxi and passenger carrying state information of the taxi.
In specific implementation, in the vehicle aggregation monitoring method provided by the embodiment of the invention, in order to determine whether a vehicle aggregation event occurs in the target detection area according to the information of all the motor vehicles in the target detection area, a deep learning model may be constructed in advance, and the probability of the vehicle aggregation event in the target detection area is determined through the model.
In the embodiment of the invention, the data of each characteristic dimension may represent a reference information for prediction.
Specifically, taking a motor vehicle as a taxi as an example, the vehicle aggregation probability is taken as a learning target of the model, and the aggregation probability is modeled through a plurality of indexes of 3 dimensions of driving style, personnel traits and location attributes. Wherein: determination of driving style dimension: and judging the attributes of the taxi, such as an inertial walking route, an activity area, a morning and evening shift and the like according to the taxi GPS information. If a taxi is used to move in a suburban area and is used to operate at night, for example, the taxi suddenly drives into an urban area in an empty state in the daytime today, the taxi has the gathering characteristic. Determination of the personnel trait dimension: according to the basic information of the driver, the attributes of the driver, such as native place, sex, age, affiliated company and the like, are analyzed. Historical experience has shown that the same native driver is prone to clumping. If a large number of same native persons or same company persons appear suddenly in the target detection area, the target detection area is indicated to have aggregation characteristics. Determination of the location attribute dimension: and analyzing the thresholds of the no-load taxi vehicles and the passenger taxi vehicles in the region based on the actual position of the target detection region. If a large amount of empty taxi queue waiting fields are normally available in railway stations and airport areas, the threshold value is set to be relatively high; in areas such as shopping malls, hospitals, subway station entrances and exits, the threshold value of the number of taxis is set to be medium; in areas such as government agencies, taxi pick-up is small, event attributes are sensitive, and threshold settings are low.
Further, in order to improve the generalization capability of the model, a Dropout method can be adopted, the nodes of part of the hidden layer are randomly erased, the model is similarly simplified, and meanwhile, the goal of improving the generalization capability is achieved by integrating the results of a plurality of simple models. And moreover, richer training samples are provided, so that the model is contacted with more different data, the generalization capability is improved, and the recognition and judgment capability of the model is improved.
In specific implementation, after information of all motor vehicles in a target detection area is obtained, the information is input into a model, the model determines a first characteristic dimension according to attribute information of all the motor vehicles in the target detection area, and determines a second characteristic dimension and the number of unloaded motor vehicles in the target detection area according to real-time information of all the motor vehicles in the target detection area; determining a third characteristic dimension according to the number of unloaded motor vehicles in the target detection area and the unloaded vehicle threshold value of the target detection area; determining the probability of vehicle aggregation events in the target detection area according to the first characteristic dimension, the second characteristic dimension and the third characteristic dimension; and then determining whether a vehicle aggregation event occurs in the target detection area according to a comparison result of the determined probability and a preset value.
Based on the same inventive concept, another vehicle aggregation monitoring method is further provided in the embodiments of the present invention, as shown in fig. 6, including:
s601, determining the range of a detection area;
s602, acquiring attribute information and real-time information of each motor vehicle in a detection area;
s603, determining a first characteristic dimension according to the attribute information of each motor vehicle in the detection area, and determining a second characteristic dimension and the number of idle vehicles in the detection area according to the real-time information of each motor vehicle in the detection area;
s604, determining a third characteristic dimension according to the number of unloaded vehicles in the detection area and the unloaded vehicle threshold value;
s605, determining the probability of vehicle aggregation events in the detection area according to the first characteristic dimension, the second characteristic dimension and the third characteristic dimension;
and S606, when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the detection area, and giving an alarm.
The vehicle aggregation monitoring method provided by the embodiment of the invention comprises the steps of firstly determining the range of a detection area; then acquiring attribute information and attribute information of each motor vehicle in the detection area; determining a first characteristic dimension according to the attribute information of each motor vehicle in the detection area, and determining a second characteristic dimension and the number of idle vehicles in the detection area according to the real-time information of each motor vehicle in the detection area; determining a third characteristic dimension according to the number of the unloaded vehicles in the detection area and the unloaded vehicle threshold value; determining the probability of vehicle aggregation events in the detection area according to the first characteristic dimension, the second characteristic dimension and the third characteristic dimension; and when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the detection area, and giving an alarm. Namely, the probability of the vehicle aggregation event is judged through the three dimensions of the first feature dimension, the second feature dimension and the third feature dimension, and the accuracy can be improved.
Optionally, in the vehicle aggregation monitoring method provided by the embodiment of the present invention, the motor vehicle is a taxi;
the attribute information of the taxi includes: basic information of a taxi, basic information of a driver and basic information of a taxi enterprise;
the real-time information of the taxi comprises: the taxi service system comprises GPS information of the taxi, operation information of the taxi and passenger carrying state information of the taxi.
In specific implementation, in the vehicle aggregation monitoring method provided by the embodiment of the present invention, the range of the detection area may be determined by a method of expanding the actual construction boundary of the initial monitoring area outward to form the target detection area according to the distribution of the vehicle roads around the actual construction boundary of the initial monitoring area, which is specifically referred to the above embodiments provided by the embodiment of the present invention, and details thereof are not described here.
Based on the same inventive concept, the embodiment of the present invention further provides a computer-readable storage medium, in which computer instructions are stored, and when the computer instructions are executed by a processor, the computer instructions implement any one of the methods provided by the embodiment of the present invention.
When embodied, the computer readable storage medium may be non-transitory. For example, the computer-readable storage medium may be a ROM (Read-Only Memory), a RAM (Random Access Memory), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
According to the vehicle aggregation monitoring method and the computer-readable storage medium provided by the embodiment of the invention, the initial monitoring area is freely selected according to the actual construction boundary, and the target monitoring area is defined in an outward expansion mode according to the road distribution condition of surrounding motor vehicles. Therefore, the target monitoring area is directly opposite to different target monitoring areas, the degree of freedom is higher according to local conditions, and the monitoring range is more accurate. Or the probability of the vehicle aggregation event is judged through the three dimensions of the first feature dimension, the second feature dimension and the third feature dimension, and the accuracy can be improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A vehicle aggregation monitoring method, comprising:
according to the motor vehicle road distribution condition around the actual construction boundary of the initial monitoring area, the actual construction boundary of the initial monitoring area is expanded outwards to form a target detection area; the step of expanding the actual construction boundary of the initial monitoring area outwards to form a target detection area according to the motor vehicle road distribution situation around the actual construction boundary of the initial monitoring area comprises the following steps: determining whether a motor vehicle road exists in a range which is located around the initial monitoring area and is a first preset distance away from the actual construction boundary; if not, the actual construction boundary of the initial monitoring area is expanded outwards by the first preset distance to form a target detection area; if the motor vehicle road is determined to be located around the initial monitoring area and within a first preset distance range from the actual construction boundary; taking motor vehicle roads which are positioned around the initial monitoring area and are within a first preset distance range from the actual construction boundary as initial extended roads; extending the initial extended road outwards by a second preset distance to one side far away from the actual construction boundary along the extending direction of the initial extended road to form a target extended road; expanding the actual construction boundary to a third preset distance from the boundary of the target extension road in an extension direction perpendicular to the target extension road to form the boundary of the target detection area;
acquiring information of all motor vehicles in the target detection area;
determining whether a vehicle aggregation event occurs in the target detection area according to the information of all the motor vehicles in the target detection area;
and when the vehicle aggregation event is determined to occur in the target detection area, giving an alarm prompt.
2. The vehicle aggregation monitoring method according to claim 1,
the second preset distance is determined according to the grade of the urban road to which the initial extended road belongs, wherein the higher the grade of the urban road to which the initial extended road belongs is, the larger the second preset distance is, and the higher the speed of the motor vehicle allowed by the initial extended road is.
3. The vehicle aggregation monitoring method according to claim 2,
the third preset distance is greater than or equal to the second preset distance.
4. The vehicle aggregation monitoring method of any one of claims 1-3, wherein determining whether a vehicle aggregation event has occurred within the target detection area based on information about all vehicles within the target detection area comprises:
determining a first characteristic dimension according to the attribute information of each motor vehicle in the target detection area, and determining a second characteristic dimension and the number of unloaded motor vehicles in the target detection area according to the real-time information of each motor vehicle in the target detection area;
determining a third characteristic dimension according to the number of unloaded motor vehicles in the target detection area and an unloaded vehicle threshold value of the target detection area;
determining the probability of a vehicle aggregation event occurring within the target detection area according to at least one of the first, second, and third feature dimensions;
and when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the target detection area.
5. The vehicle aggregation monitoring method according to claim 4, wherein the motor vehicle is a taxi;
the attribute information of the taxi comprises: basic information of the taxi, basic information of a driver and basic information of a taxi enterprise;
the real-time information of the taxi comprises the following steps: the taxi service information comprises GPS information of the taxi, operation information of the taxi and passenger carrying state information of the taxi.
6. A vehicle aggregation monitoring method, comprising:
determining the range of the detection area;
acquiring attribute information and real-time information of each motor vehicle in the detection area;
determining a first characteristic dimension according to attribute information of each motor vehicle in a detection area, and determining a second characteristic dimension and the number of idle vehicles in the detection area according to real-time information of each motor vehicle in the detection area;
determining a third characteristic dimension according to the number of the empty vehicles in the detection area and an empty vehicle threshold value;
determining the probability of vehicle aggregation events occurring within the detection area according to the first feature dimension, the second feature dimension and the third feature dimension;
and when the determined probability is larger than a preset value, determining that a vehicle aggregation event occurs in the detection area, and giving an alarm.
7. The vehicle aggregation monitoring method according to claim 6, wherein the motor vehicle is a taxi;
the attribute information of the taxi comprises: basic information of the taxi, basic information of a driver and basic information of a taxi enterprise;
the real-time information of the taxi comprises the following steps: the taxi service information comprises GPS information of the taxi, operation information of the taxi and passenger carrying state information of the taxi.
8. A computer-readable storage medium, having stored thereon computer instructions which, when executed by a processor, implement the method of any one of claims 1 to 7.
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