CN116013106B - Smart parking management method, smart parking management system, smart parking management terminal and storage medium - Google Patents
Smart parking management method, smart parking management system, smart parking management terminal and storage medium Download PDFInfo
- Publication number
- CN116013106B CN116013106B CN202310293551.0A CN202310293551A CN116013106B CN 116013106 B CN116013106 B CN 116013106B CN 202310293551 A CN202310293551 A CN 202310293551A CN 116013106 B CN116013106 B CN 116013106B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- parking space
- idle
- idle parking
- position information
- 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
Landscapes
- Traffic Control Systems (AREA)
Abstract
The application relates to a smart parking management method, a smart parking management system, a smart parking terminal and a storage medium, wherein the smart parking management method comprises the following steps: acquiring position information of a vehicle, occupation information of a parking space of a city where the vehicle is located and traffic flow of the city where the vehicle is located; obtaining the position information of the idle parking spaces and the number of the idle parking spaces in a first preset radius with the vehicle as the center according to the position information of the vehicle and the occupation information of the parking spaces in the city where the vehicle is located; obtaining regional traffic flow in a second preset radius with the idle parking space as a center according to the position information of the idle parking space and the traffic flow of the city in which the vehicle is located; calculating the success rate of occupying each idle parking space by the vehicle based on a preset calculation model according to the regional traffic flow, the position information of the vehicle, the position information of the idle parking spaces and the number of the idle parking spaces; and generating a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space. The parking efficiency is improved.
Description
Technical Field
The application relates to the technical field of big data, in particular to a smart parking management method, a smart parking management system, a smart parking terminal and a storage medium.
Background
In recent years, with rapid development of urban economy and improvement of living standard of people, the number of private cars has also drastically increased. The increasing speed of urban parking lot planning and construction is delayed from the increasing range of the automobile holding quantity, and the parking space supply is seriously lacking. Therefore, a driver can only search along the street to search the parking space, and the time and the labor are wasted.
Disclosure of Invention
The application provides a smart parking management method, a smart parking management system, a smart parking terminal and a storage medium, which achieve the effect of improving parking efficiency.
In a first aspect, the present application provides a smart parking management method, which adopts the following technical scheme:
an intelligent parking management method, comprising:
acquiring position information of a vehicle, occupation information of a parking space of a city where the vehicle is located and traffic flow of the city where the vehicle is located;
obtaining the position information of the idle parking spaces and the number of the idle parking spaces in a first preset radius with the vehicle as the center according to the position information of the vehicle and the occupation information of the parking spaces in the city where the vehicle is located;
obtaining regional traffic flow in a second preset radius with the idle parking space as a center according to the position information of the idle parking space and the traffic flow of the city in which the vehicle is located;
calculating the success rate of occupying each idle parking space by the vehicle based on a preset calculation model according to the regional traffic flow, the position information of the vehicle, the position information of the idle parking spaces and the number of the idle parking spaces;
and generating a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space.
By adopting the technical scheme, firstly, occupation information of parking spaces including surrounding parking lots, street parking spaces and the like and traffic flow of each area of the current city are acquired through big data; further reducing the screening range according to the position information of the vehicle, and calculating the traffic flow in the area and the occupation condition of the parking spaces in the area; finally, calculating the success rate of the vehicle occupying each idle parking space according to the regional traffic flow, the position information of the vehicle and the position positions of the idle parking spaces, and obtaining a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space; therefore, the vehicle can quickly find the position of the parking space, and the parking space with higher success rate can be selected, so that the parking efficiency is improved.
Optionally, according to the regional traffic flow, the position information of the vehicle, and the number of idle parking spaces in the position information of the idle parking spaces, calculating the success rate of the vehicle occupying each idle parking space based on a preset calculation model includes:
calculating the running time of the vehicle to each idle parking space according to the position information of the vehicle and the position information of the idle parking spaces;
calculating the total amount to be parked of the parking space searched in the area based on a preset coefficient according to each driving time and the regional traffic flow;
and obtaining the success rate of occupying each idle parking space by the vehicle according to the total waiting parking amount, the number of the idle parking spaces and the running time.
By adopting the technical scheme, the running time of the vehicle reaching each parking space is firstly obtained, and the total waiting parking amount of the parking space is searched in the area according to the running time and the regional traffic flow, so that the success rate of the vehicle occupying each idle parking space is calculated.
Optionally, according to each driving time and regional traffic flow, calculating the total amount to be parked of the searched parking space in the region based on a preset coefficient, including:
according to the regional traffic flow, calculating the number of vehicles moving towards the idle parking spaces based on a first preset proportion in a preset coefficient;
and calculating the total quantity to be parked of the searched parking space based on a second preset proportion in the preset coefficient according to the quantity of vehicles moving towards the idle parking space.
By adopting the technical scheme, the number of vehicles moving towards the idle parking space in the traffic flow can be estimated by using the preset coefficient obtained by big data training; and then, from the part of vehicles, intercepting part of vehicles according to a preset coefficient, and estimating the total quantity to be parked of the vehicle space.
Optionally, according to the total to-be-parked amount, the number of idle parking spaces and the running time, obtaining the success rate of occupying each idle parking space by the vehicle includes:
calculating a time coefficient of the success rate of the vehicle occupying the idle parking space according to the running time and the preset time;
and obtaining the success rate of occupying each idle parking space by the vehicle according to the total amount to be parked, the number of the idle parking spaces and the time coefficient.
By adopting the technical scheme, the total quantity to be parked and the running time are inversely proportional to the success rate of the vehicle occupying the idle parking spaces, the quantity of the idle parking spaces is directly proportional, and the success rate is limited to one hundred by using the preset time.
Optionally, generating a parking space recommendation scheme according to the success rate of occupying each idle parking space by the vehicle includes: and obtaining a parking space recommending sequence table according to the success rate of occupying each idle parking space by the vehicle.
Optionally, the method further comprises the steps of generating a parking path:
according to the stall recommendation sequence table, selecting an idle stall with the highest success rate of occupying the idle stall by the vehicle as a destination for path navigation;
and judging whether the idle parking space serving as the destination is occupied or not in real time during navigation, and regenerating a parking space recommendation scheme and a parking path when the idle parking space serving as the destination is occupied.
By adopting the technical scheme, after the user selects the parking space, the calculation is not performed in real time any more, the situation that the user is hesitant to drive a vehicle to block is avoided, and the parking efficiency is improved.
Optionally, the method further comprises: and adjusting the first preset radius and the second preset radius according to the user setting.
Through adopting above-mentioned technical scheme, the user is through setting up first radius and the second radius of predetermineeing, can adjust the searching range of idle parking stall.
In a second aspect, the present application provides a smart parking management system, which adopts the following technical scheme:
an intelligent parking management system, comprising:
the positioning module is used for acquiring the position information of the vehicle;
the data acquisition module is used for acquiring the occupation information of the parking spaces of the city where the vehicle is located and the traffic flow of the city where the vehicle is located;
the screening module is used for obtaining the position information of the idle parking spaces and the number of the idle parking spaces in a first preset radius with the vehicle as a center according to the position information of the vehicle and the occupation information of the parking spaces in the city where the vehicle is located; obtaining regional traffic flow in a second preset radius with the idle parking space as a center according to the position information of the idle parking space and the traffic flow of the city in which the vehicle is located;
the calculation module is used for calculating the success rate of occupying each idle parking space by the vehicle based on a preset calculation model according to the regional traffic flow, the position information of the vehicle, the position information of the idle parking spaces and the number of the idle parking spaces;
and the scheme generating module is used for generating a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space.
In a third aspect, the present application provides an electronic device having the feature of stably transmitting encrypted data.
The third object of the present application is achieved by the following technical solutions:
an electronic device comprising a memory and a processor, said memory having stored thereon a computer program capable of being loaded by the processor and executing the above described data encryption transmission method.
In a fourth aspect, the present application provides a computer storage medium capable of storing a corresponding program, which has the feature of facilitating stable transmission of encrypted data.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the above data encryption transmission methods.
In summary, the present application includes at least one of the following beneficial technical effects: firstly, acquiring occupation information of parking spaces including surrounding parking spaces, street parking spaces and the like and traffic flow of each area of a current city through big data; further reducing the screening range according to the position information of the vehicle, and calculating the traffic flow in the area and the occupation condition of the parking spaces in the area; finally, calculating the success rate of the vehicle occupying each idle parking space according to the regional traffic flow, the position information of the vehicle and the position positions of the idle parking spaces, and obtaining a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space; therefore, the vehicle can quickly find the position of the parking space, and the parking space with higher success rate can be selected, so that the parking efficiency is improved.
Drawings
Fig. 1 is a flowchart of a smart parking management method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a smart parking management system according to one embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 201. a positioning module; 202. a data acquisition module; 203. a screening module; 204. a computing module; 205. a scheme generation module; 301. a CPU; 302. a ROM; 303. a RAM; 304. a bus; 305. an I/O interface; 306. an input section; 307. an output section; 308. a storage section; 309. a communication section; 310. a driver; 311. removable media.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The present application is described in further detail below in conjunction with figures 1 through 3.
In order to improve parking efficiency, the application provides a smart parking management method, a smart parking management system, a smart parking terminal and a storage medium.
Referring to fig. 1, a smart parking management method includes the steps of:
s101: and acquiring the position information of the vehicle, the occupation information of the parking spaces of the city where the vehicle is located and the traffic flow of the city where the vehicle is located.
The position information of the vehicle is the accuracy of civil satellites, and the acquisition sources of the parking space occupation information of the city where the vehicle is located mainly comprise: a street camera device and a management center of a parking lot. The occupation information of the parking space comprises position information of the parking space and whether the parking space is occupied or not. The traffic flow of the city where the vehicle is located is known from satellite image analysis.
Specifically, position information of a vehicle is acquired through positioning equipment; and selecting the occupation information and the traffic flow of the parking spaces of the cities where the corresponding vehicles are located from the massive cloud data according to the position information of the vehicles.
S102: and obtaining the position information of the idle parking spaces and the number of the idle parking spaces in a first preset radius with the vehicle as the center according to the position information of the vehicle and the occupation information of the parking spaces in the city where the vehicle is located.
Specifically, according to the position information of the vehicle, a first preset radius taking the vehicle as a center is defined as the radius for searching the parking space, and data of a corresponding area is selected from the occupation information of the parking space of the city where the vehicle is located; and further obtaining the position information of the idle parking spaces and the number of the idle parking spaces.
The first preset radius is the optimal parking distance which can be received by a driver through big data screening.
S103: and obtaining the regional traffic flow in a second preset radius with the idle parking space as the center according to the position information of the idle parking space and the traffic flow of the city in which the vehicle is located.
Specifically, according to the position information of the idle parking space, a second preset radius with the idle parking space as the center is defined, and the average traffic flow of the area is obtained. The implementation mode can be used for calling the traffic flow information in the satellite image, delineating a designated area for statistics of vehicles, speed and the like, and obtaining the traffic flow, which is the prior art.
S104: and calculating the success rate of occupying each idle parking space by the vehicle based on a preset calculation model according to the regional traffic flow, the position information of the vehicle, the position information of the idle parking spaces and the number of the idle parking spaces.
Specifically, firstly, calculating the running time of the vehicle to each idle parking space according to the position information of the vehicle and the position information of the idle parking space; the running time is related to the success rate of the vehicle occupying the idle parking space, and the longer the running time is, the more vehicles competing for the same idle parking space are.
And calculating the total amount to be parked of the parking space in the area based on the preset coefficient according to each driving time and the regional traffic flow, wherein the specific mode is as follows: according to the regional traffic flow, calculating the number of vehicles moving towards the idle parking spaces based on a first preset proportion in a preset coefficient; and calculating the total quantity to be parked of the searched parking space based on a second preset proportion in the preset coefficient according to the quantity of vehicles moving towards the idle parking space. The first preset proportion and the second preset proportion are obtained by big data statistics.
Finally, calculating a time coefficient of the success rate of the vehicle occupying the idle parking space according to the driving time and the preset time; and obtaining the success rate of occupying each idle parking space by the vehicle according to the total quantity to be parked, the quantity of the idle parking spaces and the time coefficient.
In one embodiment of the present application, the calculation method is that
×100%，Wherein X is the number of idle parking spaces, Z is preset time, Y represents the total amount to be parked, and T represents running time.
S105: and generating a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space.
And obtaining a parking stall recommendation sequence table according to the success rate of occupying each idle parking stall by the vehicle.
S106: and generating a parking path.
Specifically, according to a parking space recommending sequence table, selecting an idle parking space with the highest success rate of occupying the idle parking space by a vehicle as a destination for path navigation; and judging whether the idle parking space serving as the destination is occupied or not in real time during navigation, and regenerating a parking space recommendation scheme and a parking path when the idle parking space serving as the destination is occupied.
Meanwhile, in order to facilitate the driver to flexibly select the parking range, the first preset radius and the second preset radius can be flexibly adjusted.
In a second aspect, the present application provides a smart parking management system, which adopts the following technical scheme:
referring to fig. 2, a smart parking management system includes:
a positioning module 201, configured to obtain position information of a vehicle; the positioning module 201 is typically implemented by a GPS or beidou positioning system and its mobile terminal.
The data acquisition module 202 is configured to acquire occupancy information of a parking space in a city where a vehicle is located and traffic flow of the city where the vehicle is located; the data acquisition module 202 includes an image capturing apparatus in a city, a recording apparatus of a parking lot, and a satellite image analysis apparatus.
The screening module 203 is configured to obtain, according to the position information of the vehicle and the occupancy information of the parking spaces in the city where the vehicle is located, the position information of the free parking spaces and the number of the free parking spaces in a first preset radius with the vehicle as a center; obtaining regional traffic flow in a second preset radius with the idle parking space as the center according to the position information of the idle parking space and the traffic flow of the city where the vehicle is located; the screening module 203 is a data processing module, typically implemented by a computer.
The calculating module 204 is configured to calculate a success rate of the vehicle occupying each of the idle parking spaces based on a preset calculation model according to the regional traffic flow, the position information of the vehicle, the position information of the idle parking spaces, and the number of the idle parking spaces; the computing module 204 is a data processing module, typically implemented by a computer.
The scheme generating module 205 is configured to generate a parking space recommendation scheme according to a success rate of the vehicle occupying each idle parking space. The computing module 204 is a data processing module, typically implemented by a computer.
Fig. 3 shows a schematic structural diagram of an electronic device suitable for implementing embodiments of the present application.
As shown in fig. 3, the electronic device includes a Central Processing Unit (CPU) 301 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage section into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the system operation are also stored. The CPU 301, ROM302, and RAM 303 are connected to each other through a bus 304. An input/output I/O interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input section 306 including a keyboard, a mouse, and the like; an output portion 307 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 308 including a hard disk or the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. The drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 310 as needed, so that a computer program read out therefrom is installed into the storage section 308 as needed.
In particular, according to embodiments of the present application, the process described above with reference to flowchart 1 may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 301.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: 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 or flash memory), 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. In the context of this document, 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. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware. The described units or modules may also be provided in a processor, for example, as: a processor includes a positioning module 201, a data acquisition module 202, a screening module 203, a calculation module 204, and a scenario generation module 205. Wherein the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
As another aspect, the present application also provides a computer-readable storage medium that may be included in the electronic device described in the above embodiments; or may be present alone without being incorporated into the electronic device. The computer-readable storage medium stores one or more programs that when executed by one or more processors perform the data encryption transmission method described herein.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the disclosure. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.
Claims (7)
1. An intelligent parking management method, comprising:
acquiring position information of a vehicle, occupation information of a parking space of a city where the vehicle is located and traffic flow of the city where the vehicle is located;
obtaining the position information of the idle parking spaces and the number of the idle parking spaces in a first preset radius with the vehicle as the center according to the position information of the vehicle and the occupation information of the parking spaces in the city where the vehicle is located;
obtaining regional traffic flow in a second preset radius with the idle parking space as a center according to the position information of the idle parking space and the traffic flow of the city in which the vehicle is located;
calculating the running time of the vehicle to each idle parking space according to the position information of the vehicle and the position information of the idle parking spaces;
according to the regional traffic flow, calculating the number of vehicles moving towards the idle parking spaces based on a first preset proportion in a preset coefficient;
calculating the total quantity to be parked of the searched parking space based on a second preset proportion in a preset coefficient according to the quantity of vehicles moving towards the idle parking space;
calculating a time coefficient of the success rate of the vehicle occupying the idle parking space according to the running time and the preset time;
obtaining the success rate of occupying each idle parking space by the vehicle according to the total waiting parking amount, the number of the idle parking spaces and the time coefficient;
and generating a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space.
2. The smart parking management method according to claim 1, wherein generating a parking space recommendation scheme according to a success rate of occupying each of the free parking spaces by the vehicle comprises:
and obtaining a parking space recommending sequence table according to the success rate of occupying each idle parking space by the vehicle.
3. The smart parking management method of claim 2, further comprising a parking path generation:
according to the stall recommendation sequence table, selecting an idle stall with the highest success rate of occupying the idle stall by the vehicle as a destination for path navigation;
and judging whether the idle parking space serving as the destination is occupied or not in real time during navigation, and regenerating a parking space recommendation scheme and a parking path when the idle parking space serving as the destination is occupied.
4. The smart parking management method of claim 1, further comprising:
and adjusting the first preset radius and the second preset radius according to the user setting.
5. An intelligent parking management system, comprising:
a positioning module (201) for acquiring position information of a vehicle;
the data acquisition module (202) is used for acquiring the occupation information of the parking spaces of the city where the vehicle is located and the traffic flow of the city where the vehicle is located;
the screening module (203) is used for obtaining the position information of the idle parking spaces and the number of the idle parking spaces in a first preset radius with the vehicle as the center according to the position information of the vehicle and the occupation information of the parking spaces in the city where the vehicle is located; obtaining regional traffic flow in a second preset radius with the idle parking space as a center according to the position information of the idle parking space and the traffic flow of the city in which the vehicle is located;
the calculation module (204) calculates the running time of the vehicle to each idle parking space according to the position information of the vehicle and the position information of the idle parking spaces; according to the regional traffic flow, calculating the number of vehicles moving towards the idle parking spaces based on a first preset proportion in a preset coefficient; calculating the total quantity to be parked of the searched parking space based on a second preset proportion in a preset coefficient according to the quantity of vehicles moving towards the idle parking space; calculating a time coefficient of the success rate of the vehicle occupying the idle parking space according to the running time and the preset time; obtaining the success rate of occupying each idle parking space by the vehicle according to the total waiting parking amount, the number of the idle parking spaces and the time coefficient;
and the scheme generating module (205) is used for generating a parking space recommendation scheme according to the success rate of the vehicle occupying each idle parking space.
6. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, characterized in that the processor, when executing the program, implements the method of any of claims 1 to 4.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310293551.0A CN116013106B (en) | 2023-03-24 | 2023-03-24 | Smart parking management method, smart parking management system, smart parking management terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310293551.0A CN116013106B (en) | 2023-03-24 | 2023-03-24 | Smart parking management method, smart parking management system, smart parking management terminal and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116013106A CN116013106A (en) | 2023-04-25 |
| CN116013106B true CN116013106B (en) | 2023-06-27 |
Family
ID=86033865
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310293551.0A Active CN116013106B (en) | 2023-03-24 | 2023-03-24 | Smart parking management method, smart parking management system, smart parking management terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116013106B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022126512A1 (en) * | 2020-12-15 | 2022-06-23 | 南京大衍数字科技有限公司 | Intelligent parking management system and method based on big data |
| CN115311894A (en) * | 2022-09-13 | 2022-11-08 | 中研智能交通(深圳)有限公司 | Intelligent parking management method, system, terminal and medium based on big data analysis |
| WO2022257281A1 (en) * | 2021-06-09 | 2022-12-15 | 海南漫游谷电子商务有限公司 | Prediction method for parking spaces in parking lots, and server |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102012201472A1 (en) * | 2012-02-01 | 2013-08-01 | Bayerische Motoren Werke Aktiengesellschaft | Method for providing parking information on free parking spaces |
| FR3004841B1 (en) * | 2013-04-22 | 2016-09-23 | Ineo | METHOD AND DEVICE FOR DYNAMIC MANAGEMENT OF URBAN MOBILITY |
| DE102014209453A1 (en) * | 2014-05-19 | 2015-11-19 | Continental Automotive Gmbh | Method for simplifying the search for a free parking space |
| CN105513414A (en) * | 2015-12-25 | 2016-04-20 | 江苏东大金智信息系统有限公司 | Parking-lot parking space predication and recommendation method based on real-time traffic query and cloud model |
| EP3462427A1 (en) * | 2017-09-27 | 2019-04-03 | Deutsche Telekom AG | Method of predicting the probability of occurrence of vacant parking slots and its realization system |
| EP3693941A1 (en) * | 2019-02-07 | 2020-08-12 | Ningbo Geely Automobile Research & Development Co. Ltd. | A system and method for guiding a vehicle occupant to an available vehicle parking space |
| CN110288184A (en) * | 2019-05-15 | 2019-09-27 | 中国科学院深圳先进技术研究院 | Urban parking area sort method, device, terminal and medium based on space-time characteristic |
| CN115424470B (en) * | 2022-08-31 | 2023-12-08 | 苏州智能交通信息科技股份有限公司 | Urban intelligent parking system, integrated analysis method and terminal |
| CN115222158B (en) * | 2022-09-07 | 2023-01-06 | 成都秦川物联网科技股份有限公司 | Smart city parking lot management method, system and device based on Internet of things |
-
2023
- 2023-03-24 CN CN202310293551.0A patent/CN116013106B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022126512A1 (en) * | 2020-12-15 | 2022-06-23 | 南京大衍数字科技有限公司 | Intelligent parking management system and method based on big data |
| WO2022257281A1 (en) * | 2021-06-09 | 2022-12-15 | 海南漫游谷电子商务有限公司 | Prediction method for parking spaces in parking lots, and server |
| CN115311894A (en) * | 2022-09-13 | 2022-11-08 | 中研智能交通(深圳)有限公司 | Intelligent parking management method, system, terminal and medium based on big data analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116013106A (en) | 2023-04-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110376594B (en) | Intelligent navigation method and system based on topological graph | |
| WO2018157777A1 (en) | Systems and methods for recommending a pick-up location | |
| WO2021121306A1 (en) | Visual location method and system | |
| AU2019272059A1 (en) | Method and system for determining transport service fee | |
| CN107862899A (en) | Reverse car seeking method, device, computer installation and computer-readable recording medium | |
| CN110689804B (en) | Method and apparatus for outputting information | |
| CN106327311B (en) | Order processing method, device and system | |
| US20090179776A1 (en) | Determination of parking space availability systems and methods | |
| CN105407127A (en) | Method, apparatus, and system for free sharing of passenger tool resources | |
| WO2021052451A1 (en) | Method and system for determining estimated time of arrival | |
| CN110457407B (en) | Method and apparatus for processing point cloud data | |
| CN114882464B (en) | Multi-task model training method, multi-task processing method, device and vehicle | |
| CN111337045A (en) | Vehicle navigation method and device | |
| TW201933280A (en) | Systems and methods for new road determination | |
| CN114036411A (en) | Route planning method, device, equipment and medium | |
| CN116013106B (en) | Smart parking management method, smart parking management system, smart parking management terminal and storage medium | |
| CN113959442A (en) | Refined navigation method based on traffic plan route planning in area | |
| CN117128950A (en) | Point cloud map construction method and device, electronic equipment and storage medium | |
| CN111860922B (en) | Service station deployment control method and device, electronic equipment and storage medium | |
| CN116307580A (en) | Method and device for scheduling capacity, electronic equipment and storage medium | |
| CN112859109B (en) | Unmanned aerial vehicle panoramic image processing method and device and electronic equipment | |
| CN111383337B (en) | Method and device for identifying objects | |
| CN111539796B (en) | Order processing method, device and storage medium | |
| CN114202272A (en) | Vehicle and goods matching method and device based on electronic fence, storage medium and terminal | |
| CN111859177A (en) | Positioning method and system |
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 |