CN114141014B - Method, device and equipment for determining parking lot and storage medium - Google Patents
Method, device and equipment for determining parking lot and storage medium Download PDFInfo
- Publication number
- CN114141014B CN114141014B CN202111450578.3A CN202111450578A CN114141014B CN 114141014 B CN114141014 B CN 114141014B CN 202111450578 A CN202111450578 A CN 202111450578A CN 114141014 B CN114141014 B CN 114141014B
- Authority
- CN
- China
- Prior art keywords
- parking
- area
- preset
- determining
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
-
- 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
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
Abstract
The application provides a method, a device, equipment and a storage medium for determining a parking lot, relates to the technical field of vehicles, and can quickly and accurately determine the parking lot. The method comprises the following steps: determining a dwell area; the parking area comprises a plurality of parking vehicles, and the distance between any two parking vehicles in the parking area is smaller than a first threshold value; obtaining parking parameters of a staying area in a statistical period; the parking parameters comprise accumulated parking number, accumulated parking time and maximum parking time, and the accumulated receiving times of the server for receiving the vehicle data sent by a plurality of parked vehicles in the parking area; based on the preset weight, carrying out weighting processing on the parking parameters to obtain a weighting result of the parking area; and determining the parking area as the parking lot under the condition that the weighting result of the parking area is greater than a second threshold value.
Description
Technical Field
The present application relates to the field of vehicle technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a parking lot.
Background
With the economic development of China, the number of automobiles is increased rapidly, and the requirements of parking places are also increased continuously. In the prior art, under the condition that people have parking requirements, car owners usually search parking spots in map software, but the accuracy of the parking spots provided on a map cannot be determined, and not all the parking spots appear on the map. Therefore, how to quickly and accurately determine the parking lot is a technical problem to be solved urgently.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for determining a parking lot, so as to determine the parking lot quickly and accurately.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a method for determining a parking lot, where the method is applied to a server, and the method may include: determining a dwell area; the parking area comprises a plurality of parking vehicles, and the distance between any two parking vehicles in the parking area is smaller than a first threshold value; obtaining parking parameters of a parking area in a statistical period; the parking parameters comprise the accumulated parking number, the accumulated parking duration and the maximum parking duration, and the accumulated receiving times of the server for receiving the vehicle data sent by the plurality of parked vehicles in the parking area; based on the preset weight, carrying out weighting processing on the parking parameters to obtain a weighting result of the parking area; and determining the parking area as the parking lot under the condition that the weighting result of the parking area is greater than a second threshold value.
Optionally, determining the staying area includes: determining a staying vehicle in a preset area, and acquiring the position of the staying vehicle in the preset area; generating a plurality of staying vehicle sets according to the positions of the staying vehicles in the preset area and a preset clustering algorithm; within each set of parked vehicles, the distance between any two parked vehicles is less than a first threshold; and determining the area corresponding to any stopping vehicle set as a stopping area.
Optionally, determining a parked vehicle in the preset area includes: receiving vehicle data sent by vehicles in a preset area within a preset time period; the vehicle data includes speed;
determining that the vehicle corresponding to the vehicle data is a stopped vehicle under the condition that the vehicle data meets the preset condition; the preset conditions include: the duration of speed 0 is greater than the third threshold.
Optionally, the vehicle data further includes engine speed; the preset conditions further include: the duration for which the engine speed is less than the fourth threshold is greater than a fifth threshold.
Optionally, the weight of the accumulated parking time is a maximum value in the preset weights, and the weight of the maximum parking time is a minimum value in the preset weights.
In a second aspect, the present application provides a parking lot determination device, including: the device comprises a determining unit, an acquiring unit and a processing unit; a determination unit for determining a stay area; the parking area comprises a plurality of parking vehicles, and the distance between any two parking vehicles in the parking area is smaller than a first threshold value; the acquisition unit is used for acquiring the parking parameters of the parking area in the statistical period; the parking parameters comprise accumulated parking number, accumulated parking time and maximum parking time, and the accumulated receiving times of the server for receiving the vehicle data sent by a plurality of parked vehicles in the parking area; the processing unit is used for weighting the parking parameters based on preset weight so as to obtain a weighting result of the parking area; and the determining unit is further used for determining the parking area as the parking lot under the condition that the weighting result of the parking area is greater than the second threshold value.
Optionally, the determining and stopping unit is specifically configured to: determining a staying vehicle in a preset area, and acquiring the position of the staying vehicle in the preset area; generating a plurality of staying vehicle sets according to the positions of the staying vehicles in the preset area and a preset clustering algorithm; within each set of parked vehicles, the distance between any two parked vehicles is less than a first threshold; and determining an area corresponding to any stopping vehicle set as a stopping area.
Optionally, the determining unit is further specifically configured to: receiving vehicle data sent by vehicles in a preset area within a preset time period; the vehicle data includes speed; determining that the vehicle corresponding to the vehicle data is a stopped vehicle under the condition that the vehicle data meets the preset condition; the preset conditions include: the duration of speed 0 is greater than the third threshold.
Optionally, the vehicle data further includes engine speed; the preset conditions further include: the duration for which the engine speed is less than the fourth threshold is greater than the fifth threshold.
Optionally, the weight of the accumulated parking time is a maximum value in the preset weights, and the weight of the maximum parking time is a minimum value in the preset weights.
In a third aspect, the present application provides a server, comprising: a processor, a communication interface, and a memory. Wherein the memory is used to store one or more programs. The one or more programs include computer executable instructions which, when executed by the server, cause the server to perform the method of determining a parking lot of any one of the first aspect and its various alternative implementations.
In a fourth aspect, the present application provides a computer-readable storage medium having instructions stored therein, where the instructions are executed by a computer, and the computer executes the method for determining a parking lot according to the first aspect and any one of the various alternative implementations thereof.
According to the method for determining the parking lot, the weighting result is obtained through calculation according to the plurality of parking parameters and the corresponding weights in the parking area, and then whether the parking area is the parking lot or not is judged through the weighting result, so that the parking lot can be found quickly and accurately, and inaccurate parking lot information and unmarked parking lot information which are provided by a map in the prior art are avoided.
Drawings
Fig. 1 is a schematic structural diagram of a parking lot determination system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a parking lot determination device according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a method for determining a parking lot according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of another parking lot determination method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another parking lot determination method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a parking lot determination device according to an embodiment of the present application.
Detailed Description
A method, an apparatus, a device, and a storage medium for determining a parking lot according to embodiments of the present application are described in detail below with reference to the accompanying drawings.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the specification and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
The method for determining the parking lot provided by the embodiment of the application can be applied to the parking lot determination system shown in fig. 1, and the parking lot determination system is used for determining the parking lot. As shown in fig. 1, the parking lot determination system 10 may include a server 11 and a vehicle 12.
Therein, the server 11 in fig. 1 may be connected to the vehicle 12 by means of a wireless connection.
It should be noted that fig. 1 is merely an exemplary illustration of a parking lot determination system, and that the parking lot determination system 10 may include a plurality of vehicles 12.
The vehicle 12 may report vehicle data such as vehicle speed, engine speed, and position to the server 11 periodically.
Accordingly, the server 11 may receive the vehicle data periodically reported by the vehicle 12, and determine the parking lot according to the vehicle data.
Fig. 2 shows a schematic diagram of a possible structure of the server, and as shown in fig. 2, the server 20 includes a processor 201, a communication interface 202, a communication line 203, and a memory 204.
The processor 201 may be a CPU, a general purpose processor Network (NP), a Digital Signal Processor (DSP), a microprocessor, a microcontroller, a Programmable Logic Device (PLD), or any combination thereof. The processor 201 may also be other devices with processing functions, such as, without limitation, a circuit, a device, or a software module. In one example, processor 201 may include one or more CPUs, such as CPU0 and CPU1 in fig. 2.
A communication interface 202 for communicating with other devices or other communication networks. The other communication network may be an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), or the like. The communication interface may be a module, a circuit, a communication interface, or any device capable of enabling communication.
A communication line 203 for transmitting information between the respective components included in the determination system of the parking lot.
A memory 204 for storing instructions. Wherein the instructions may be a computer program.
The memory 204 may be a read-only memory (ROM) or other types of static storage devices that can store static information and/or instructions, a Random Access Memory (RAM) or other types of dynamic storage devices that can store information and/or instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disc storage medium or other magnetic storage devices, and the like, without limitation.
It is noted that the memory 204 may exist separately from the processor 201 or may be integrated with the processor 201. The memory 204 may be used for storing instructions or program code or some data etc. The memory 204 may be located in the server or outside the parking lot determination device, without limitation. The processor 201 is configured to execute the instructions stored in the memory 204 to implement the method for determining a parking lot according to the following embodiments of the present application.
As an alternative implementation, the server includes multiple processors, for example, processor 207 may be included in addition to processor 201 in fig. 2.
In the embodiment of the present application, the chip system may be composed of a chip, and may also include a chip and other discrete devices.
In addition, acts, terms, and the like referred to between the embodiments of the present application may be mutually referenced and are not limited. In the embodiment of the present application, the name of the message exchanged between the devices or the name of the parameter in the message, etc. are only an example, and other names may also be used in the specific implementation, which is not limited.
The embodiment of the application provides a method for determining a parking lot, which can be applied to the device for determining a parking lot, a server comprising the device for determining a parking lot, and other similar devices comprising the device for determining a parking lot. Hereinafter, the parking lot determination method will be described by taking an example in which the parking lot determination method is applied to a server. As shown in fig. 3, the method may include S301-S304:
s301, the server determines a staying area.
The parking area comprises a plurality of parking vehicles, and the distance between any two parking vehicles in the parking area is smaller than a first threshold value.
As a possible implementation manner, the server may obtain the vehicle position by receiving vehicle data periodically reported by the vehicle, determine a distance between any two vehicles according to the obtained vehicle position, and determine the stopping area based on the determined distance.
It should be noted that the dwell area may be represented by one or more latitude and longitude coordinates.
Illustratively, the dwell area may be (116 degrees east longitude, 30 minutes, 39 degrees north latitude, 26 minutes).
S302, the server acquires the parking parameters of the parking area in the statistical period.
The parking parameters comprise the accumulated parking number, the accumulated parking time and the maximum parking time, and the accumulated receiving times of the server for receiving the vehicle data sent by the plurality of parked vehicles in the parking area.
In a possible implementation manner, the server may receive parking parameters periodically reported by the vehicle to obtain the parking parameters of the parking area in the statistical period.
It should be noted that the accumulated number of parked vehicles is the total number of vehicles parked in the parking area within the statistical period; the accumulated parking time is the sum of the staying time of each vehicle staying in the staying area in the statistical period; the maximum parking time is the maximum value of the staying time of each vehicle staying in the staying area in the statistical period; the statistical period may include a plurality of parking parameter reporting periods, and meanwhile, the statistical period may be set in the server in advance by operation and maintenance personnel.
S303, the server performs weighting processing on the parking parameters based on the preset weight to obtain a weighting result of the parking area.
And the weighting result is used for determining whether the parking area is a parking lot.
As a possible implementation manner, the server may score each parking parameter, multiply the score of each parking parameter by a preset weight to obtain an actual score value, and finally add the actual score values of each parking parameter to complete weighting processing.
Illustratively, the cumulative parking number, the cumulative parking duration, the maximum parking duration, and the cumulative receiving times weighted values of a, b, c, d of the vehicle data sent by the server in the parking area by the plurality of parked vehicles are respectively, and each score is e, f, g, h. The weighting result w can be expressed by the following formula: w = ae + bf + cg + dh.
S304, under the condition that the weighting result of the parking area is larger than a second threshold value, the server determines that the parking area is a parking lot.
Illustratively, when the weighting result w is greater than the second threshold, it is determined that the parking area is a parking lot.
In another case, when the weighting result w is less than or equal to the second threshold, it is determined that the stay area is not a parking lot.
It should be noted that the second threshold may be set in the server by the operation and maintenance personnel in advance. In one design, in order to determine the staying area, as shown in fig. 4, S301 provided in this embodiment of the present application specifically includes the following S3011-S3014:
s3011, the server determines the stop vehicles in the preset area.
As a possible implementation manner, the server may determine the vehicle located in the preset area according to the position in the vehicle data reported by the vehicle, and determine that the vehicle with the speed of 0 in the vehicle data is the parked vehicle in the preset area.
It should be noted that the preset area may be set in the server in advance by an operation and maintenance worker.
S3012, the server obtains the position of the vehicle staying in the preset area.
Wherein the location of the parked vehicle may be latitude and longitude coordinates.
As a possible implementation, the server may acquire the position of each parked vehicle from the vehicle data of the parked vehicles after determining the parked vehicles within the preset area.
In some embodiments, the server verifies the vehicle data after receiving the vehicle data transmitted by the vehicle. And if the position does not exist in the vehicle data or is 0, the server deletes the invalid vehicle data to achieve the purpose of data cleaning.
S3013, the server generates a plurality of stopping vehicle sets according to the positions of the stopping vehicles in the preset area and a preset clustering algorithm.
Wherein a distance between any two stopped vehicles within each set of stopped vehicles is less than a first threshold.
As a possible implementation manner, the server may convert the positions of the parked vehicles in the preset area into vectors, and input the vectors obtained through conversion into a preset clustering algorithm, so that the clustering algorithm outputs a plurality of parked vehicle sets.
It should be noted that the clustering algorithm may be a density-based clustering of applications with noise (DBSCAN) algorithm
In some embodiments, the density cluster model determines a core parking vehicle from a plurality of parking vehicles according to the input vector (one core vehicle corresponds to one parking vehicle set, and among the plurality of parking vehicles corresponding to the same parking vehicle set, the distance between the vector of the core parking vehicle and the vectors of the other parking vehicles is less than or equal to a first neighborhood parameter r, and the number of the other parking vehicles is greater than a second neighborhood parameter minpts.
And then, the density clustering model carries out random traversal on all the core staying vehicles, determines the reachable density staying vehicles (corresponding to the reachable density points in the density clustering model) of the core staying vehicles, and outputs clustering results after the traversal of all the core staying vehicles is completed.
It should be noted that the first neighborhood parameter r and the second neighborhood parameter MinPts in the density clustering model may be set in the density clustering model of the server by the operation and maintenance personnel in advance.
S3014, the server determines that the area corresponding to any stopping vehicle set is a stopping area.
In one design, in order to determine a parked vehicle in a preset area, as shown in fig. 5, S3011 provided in the embodiment of the present application specifically includes the following S401-S402:
s401, the server receives vehicle data sent by vehicles in a preset area within a preset time period.
Wherein the vehicle data includes speed.
S402, the server determines that the vehicle corresponding to the vehicle data is the parking vehicle under the condition that the vehicle data meets the preset conditions.
Wherein the preset conditions include: the duration of speed 0 is greater than the third threshold.
Illustratively, the third threshold may be 5 minutes.
In one design, the vehicle data in S401 provided by the embodiment of the present application further includes an engine speed. The preset condition in S402 further includes that the duration for which the engine speed is less than the fourth threshold is greater than the fifth threshold.
The fifth threshold may be the same as the third threshold, and the fifth threshold may be different from the third threshold.
For example, the fourth threshold may be 500 rpm, and the fifth threshold may be 5 minutes or 6 minutes.
In one design, the weight of the accumulated parking time provided by the embodiment of the present application is a maximum value in preset weights, and the weight of the maximum parking time is a minimum value in the preset weights.
In one design, in order to verify the determination result in the foregoing embodiment, the method for determining a parking lot according to the embodiment of the present application further includes, after determining that the parking area is a parking lot, S501-S503:
s501, the server determines image data of the staying area.
The image data may be satellite image data, among others.
As a possible implementation, the server determines the image data of the stay area according to the position of the stay area.
S502, the server identifies the vehicle in the image data.
As one possible implementation, the server may identify the vehicle included in the image data using image recognition technology.
S503, the server determines that the parking area passes the verification under the condition that the number of the vehicles in the image data is larger than a sixth threshold value.
As a possible implementation, the server determines the number of vehicles in the image data after determining the vehicles in the image data based on the image recognition technology, and determines that the stay area is verified if the number of vehicles is greater than a sixth threshold.
Note that the parking area is verified to indicate that the parking area is a parking lot.
The method for determining the parking lot is characterized in that a weighting result is obtained through calculation according to a plurality of parking parameters and corresponding weights in a parking area, and then whether the parking area is the parking lot or not is judged through the weighting result, so that the parking lot can be found quickly and accurately, and inaccurate parking lot information and unmarked parking lot information which are provided by a map in the prior art are avoided.
In the embodiment of the present application, the server may be divided into the functional modules or the functional units according to the above method examples, for example, each functional module or each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 shows a schematic diagram of a possible structure of the parking lot determination device according to the above embodiment. As shown in fig. 6, the parking lot determination device 60 includes a determination unit 601, an acquisition unit 602, and a processing unit 603.
A determining unit 601, configured to determine a parking area. For example, as shown in fig. 3, the determination unit 601 may be configured to perform S301.
An obtaining unit 602, configured to obtain a parking parameter of the parking area within a statistical period. For example, as shown in fig. 3, the determining unit 602 may be configured to execute S302.
The processing unit 603 performs weighting processing on the parking parameters based on the preset weight to obtain a weighting result of the parking area. For example, as shown in fig. 3, the determining unit 603 may be configured to perform S303.
The determining unit 601 is further configured to determine that the parking area is a parking lot when the weighting result of the parking area is greater than the second threshold. For example, as shown in fig. 3, the determining unit 601 may also be configured to execute S304.
The specific implementation manner of the parking lot determination device 60 may refer to the behavior function of the parking lot determination device in the parking lot determination method shown in fig. 3.
In a possible design, as shown in fig. 6, the determining unit 602 provided in this embodiment specifically determines a parked vehicle in a preset area, and obtains a position of the parked vehicle in the preset area. And generating a plurality of stopped vehicle sets according to the positions of the stopped vehicles in the preset area and a preset clustering algorithm. Within each set of parked vehicles, the distance between any two parked vehicles is less than a first threshold. And determining the area corresponding to any stopping vehicle set as a stopping area. For example, as shown in fig. 4, the determination unit 602 may be configured to perform S3011-S3014.
In a possible design, the determining unit 602 provided in this embodiment of the present application is further specifically configured to: and receiving vehicle data sent by vehicles in a preset area within a preset time period. The vehicle data includes speed. And under the condition that the vehicle data meet the preset conditions, determining that the vehicle corresponding to the vehicle data is the stopped vehicle. The preset conditions include: the duration of speed 0 is greater than the third threshold. For example, as shown in fig. 5, the determining unit 602 may be configured to perform S401-S402.
In one possible design, the vehicle data provided by the embodiment of the present application further includes an engine speed. The preset conditions further include: the duration for which the engine speed is less than the fourth threshold is greater than the fifth threshold.
In a possible design, the weight of the accumulated parking time provided by the embodiment of the present application is a maximum value in the preset weights, and the weight of the maximum parking time is a minimum value in the preset weights.
According to the method for determining the parking lot, the weighting result is obtained through calculation according to the plurality of parking parameters and the corresponding weights in the parking area, and then whether the parking area is the parking lot or not is judged through the weighting result, so that the parking lot can be found quickly and accurately, and inaccurate parking lot information and unmarked parking lot information which are provided by a map in the prior art are avoided.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present application provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the method for determining a parking lot according to the above method embodiment.
The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the determining device of the parking lot executes the instructions, the determining device of the parking lot executes the steps executed by the determining device of the parking lot in the method flow shown in the foregoing method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for determining a parking lot is applied to a server and is characterized by comprising the following steps:
determining a staying vehicle in a preset area, and acquiring the position of the staying vehicle in the preset area;
generating a plurality of staying vehicle sets according to the positions of the staying vehicles in the preset area and a preset clustering algorithm; within each set of parked vehicles, the distance between any two parked vehicles is less than a first threshold;
determining an area corresponding to any stopping vehicle set as a stopping area;
obtaining parking parameters of the parking area in a statistical period; the parking parameters comprise accumulated parking quantity, accumulated parking time and maximum parking time, and the accumulated receiving times of the plurality of parked vehicles for sending vehicle data in the parking area are received by the server;
based on preset weight, carrying out weighting processing on the parking parameters to obtain a weighting result of the parking area;
and determining that the parking area is a parking lot when the weighting result of the parking area is greater than a second threshold value.
2. The method for determining a parking lot according to claim 1, wherein the determining of the parked vehicles within the preset area comprises:
receiving the vehicle data sent by the vehicles in the preset area within a preset time period; the vehicle data includes a speed;
determining that the vehicle corresponding to the vehicle data is the stopped vehicle under the condition that the vehicle data meets a preset condition; the preset conditions include: the duration of the speed 0 is greater than a third threshold.
3. The parking lot determination method according to claim 2, wherein the vehicle data further includes an engine speed; the preset conditions further include: the duration of the engine speed being less than the fourth threshold is greater than a fifth threshold.
4. The method according to any one of claims 1 to 3, wherein the weight of the accumulated parking time is a maximum value among the preset weights, and the weight of the maximum parking time is a minimum value among the preset weights.
5. A parking lot determination device applied to a server is characterized by comprising: the device comprises a determining unit, an acquiring unit and a processing unit;
the determining unit is used for determining the staying vehicles in a preset area and acquiring the positions of the staying vehicles in the preset area;
the processing unit is used for generating a plurality of staying vehicle sets according to the positions of the staying vehicles in the preset area and a preset clustering algorithm; within each set of parked vehicles, the distance between any two parked vehicles is less than the first threshold;
the determining unit is further configured to determine an area corresponding to any one stopped vehicle set as the stopped area;
the acquisition unit is used for acquiring the parking parameters of the parking area in a statistical period; the parking parameters comprise accumulated parking quantity, accumulated parking time and maximum parking time, and the accumulated receiving times of the plurality of parked vehicles for sending vehicle data in the parking area are received by the server;
the processing unit is further configured to perform weighting processing on the parking parameters based on preset weights to obtain a weighting result of the parking area;
the determining unit is further configured to determine that the parking area is a parking lot when the weighting result of the parking area is greater than a second threshold.
6. The parking lot determination device according to claim 5, wherein the determination unit is further configured to:
receiving the vehicle data sent by the vehicles in the preset area within a preset time period; the vehicle data includes a speed;
under the condition that the vehicle data meet preset conditions, determining that the vehicle corresponding to the vehicle data is the stopped vehicle; the preset conditions include: the duration of the speed 0 is greater than a third threshold.
7. The parking lot determination device according to claim 6, wherein the vehicle data further includes an engine speed; the preset conditions further include: the duration of the engine speed being less than the fourth threshold is greater than a fifth threshold.
8. The apparatus according to any one of claims 5 to 7, wherein the weight of the accumulated parking time is a maximum value among the preset weights, and the weight of the maximum parking time is a minimum value among the preset weights.
9. A server, characterized in that the server comprises: a processor, a communication interface, and a memory; wherein the memory is used for storing one or more programs, the one or more programs comprising computer-executable instructions, and when the server is running, the processor executes the computer-executable instructions stored by the memory to cause the server to execute the parking lot determination method according to any one of claims 1 to 4.
10. A computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the method of determining a parking lot of any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111450578.3A CN114141014B (en) | 2021-11-30 | 2021-11-30 | Method, device and equipment for determining parking lot and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111450578.3A CN114141014B (en) | 2021-11-30 | 2021-11-30 | Method, device and equipment for determining parking lot and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114141014A CN114141014A (en) | 2022-03-04 |
| CN114141014B true CN114141014B (en) | 2023-04-18 |
Family
ID=80386788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111450578.3A Active CN114141014B (en) | 2021-11-30 | 2021-11-30 | Method, device and equipment for determining parking lot and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114141014B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114898226B (en) * | 2022-05-31 | 2024-03-26 | 北京百度网讯科技有限公司 | Map data processing method, map data processing device, electronic equipment and storage medium |
| CN117290741B (en) * | 2023-11-14 | 2024-03-19 | 北京阿帕科蓝科技有限公司 | Vehicle clustering method, device, computer equipment and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112509373A (en) * | 2018-10-15 | 2021-03-16 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105788253B (en) * | 2016-03-24 | 2018-05-29 | 福建工程学院 | A kind of parking lot based on traffic track data finds method and system |
| US10801860B2 (en) * | 2017-06-14 | 2020-10-13 | Here Global B.V. | Mapping system and method for identifying a parking lot from probe data |
| SE541634C2 (en) * | 2018-03-06 | 2019-11-19 | Scania Cv Ab | Method and control arrangement for identification of parking areas |
| CN109104694B (en) * | 2018-06-26 | 2020-10-30 | 重庆市交通规划研究院 | User stay position finding method and system based on mobile phone signaling |
| CN111380541B (en) * | 2018-12-29 | 2022-09-13 | 沈阳美行科技股份有限公司 | Interest point determination method and device, computer equipment and storage medium |
| CN110689804B (en) * | 2019-10-10 | 2022-05-17 | 百度在线网络技术（北京）有限公司 | Method and apparatus for outputting information |
| CN110851490B (en) * | 2019-10-16 | 2022-04-26 | 青岛海信网络科技股份有限公司 | Vehicle travel common stay point mining method and device based on vehicle passing data |
| CN111159582B (en) * | 2019-12-20 | 2023-10-31 | 北京邮电大学 | Method and device for processing track data of moving object |
| CN111178806B (en) * | 2019-12-30 | 2023-08-15 | 北京四维智联科技有限公司 | Method, device and equipment for searching vehicle stay points |
| CN111190942B (en) * | 2020-01-06 | 2022-04-19 | 浙江大学城市学院 | Urban road parking spot overall analysis method based on data mining technology |
| CN111311784A (en) * | 2020-03-04 | 2020-06-19 | 深圳市物语智联科技有限公司 | User portrait determination method, device, computer equipment and storage medium |
| CN111694914B (en) * | 2020-06-08 | 2023-08-29 | 北京百度网讯科技有限公司 | Method and device for determining resident area of user |
| CN112700201B (en) * | 2021-01-12 | 2023-08-15 | 上海斑马来拉物流科技有限公司 | Goods source recommending method, electronic equipment and storage medium |
-
2021
- 2021-11-30 CN CN202111450578.3A patent/CN114141014B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112509373A (en) * | 2018-10-15 | 2021-03-16 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114141014A (en) | 2022-03-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114141014B (en) | Method, device and equipment for determining parking lot and storage medium | |
| US10952030B2 (en) | Methods, devices, systems, and computer-readable storage mediums for location positioning | |
| JP2017506780A (en) | Public transport vehicle driving prediction method, apparatus and device | |
| CN105139641A (en) | WiFi relay station-based vehicle scheduling method and system | |
| US20220070821A1 (en) | Positioning method and device, electronic device and storage medium | |
| JP6103896B2 (en) | Information providing apparatus, information output apparatus, and control program for information output apparatus | |
| CN112837556A (en) | Vehicle position information monitoring processing method and device | |
| CN111898042B (en) | Riding point recommendation method, riding point recommendation device, riding point recommendation equipment and storage medium | |
| CN110888703A (en) | Terminal control method and device, storage medium and computer equipment | |
| CN113573334B (en) | Method and device for determining resident area of user | |
| CN110969887B (en) | Vehicle data acquisition method and device, electronic equipment and medium | |
| CN110489598B (en) | User community dividing method and device | |
| CN110672086B (en) | Scene recognition method, device, equipment and computer readable medium | |
| CN112231553B (en) | Position determination method, position determination device, storage medium and electronic equipment | |
| CN112215667B (en) | User behavior prediction method and device | |
| CN113869715A (en) | Site grouping method, home site determining method, device and computer equipment | |
| CN111770472A (en) | Vehicle positioning method and device, vehicle, storage medium and terminal | |
| CN113590943A (en) | Gas station recommendation method, system, electronic device and medium | |
| CN113192065A (en) | Processing method of power transmission line image, portable equipment and user terminal | |
| CN113282638A (en) | Urban construction vehicle identification method and device | |
| CN111698643B (en) | Method, device, terminal and storage medium for positioning location of terminal | |
| CN112468958B (en) | Region determination method and device, electronic equipment and computer readable storage medium | |
| CN113409564B (en) | Safety management method, device and equipment for motorcade | |
| CN114396962A (en) | Reachable domain generation method, device, equipment and storage medium | |
| CN116245613A (en) | Method, device and storage medium for positioning network appointment vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |