CN112422671A - Parking lot recommendation method and system - Google Patents
Parking lot recommendation method and system Download PDFInfo
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- CN112422671A CN112422671A CN202011247486.0A CN202011247486A CN112422671A CN 112422671 A CN112422671 A CN 112422671A CN 202011247486 A CN202011247486 A CN 202011247486A CN 112422671 A CN112422671 A CN 112422671A
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- 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
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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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
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
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- 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
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
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- 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
- H04L67/50—Network services
- H04L67/55—Push-based network services
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Abstract
The invention discloses a parking lot recommendation method which comprises the steps of receiving reported information of geomagnetism of parking lots in real time, counting the parking lot berth states of the parking lots, calculating time and arrival time points required by a user to arrive at a destination by using a third-party map, searching parking lot information near the user destination, obtaining data information of the current time point of the parking lots through a data analysis technology, estimating the number of remaining parking lots at the arrival time point of the user, intelligently sequencing and pushing the parking lots. Meanwhile, the invention also discloses a parking lot recommendation system. By the method and the system, the remaining parking space information when the vehicle reaches the destination is predicted according to the distance between the parking lot and the destination, and the list recommendation is performed on the user by combining the related information so that the user can select the information, thereby reducing the waste of public resources and improving the timeliness and the accuracy of searching the parking space information.
Description
Technical Field
The invention relates to the field of big data analysis, data statistics and the technical field of Internet of things, in particular to a parking lot recommendation method and system.
Background
The modern society is developed more and more, the living cost is higher and more, and the rhythm of life is faster and more along with it. Along with the time cost is higher and higher, the view that the time is money is stronger and the travel parking problem is larger and larger. Nowadays, every family of the society has a car, goes out to work or plays, and can not find a proper parking space or even a proper parking lot after arriving at a destination. People waste a lot of time for finding a parking lot, and even stop the vehicle on the roadside at any time for driving time, which affects the normal operation of traffic.
In order to solve the problems, a lot of enterprises invest a lot of manpower and material resources to develop intelligent parking lot finding software. These software typically only provide parking spaces around the destination, with a small portion providing information about the remaining parking spaces in the parking space. However, these software do not provide an accurate number of remaining parking lots, and their distance from the destination, nor do they predict the time required to drive to a parking lot. Therefore, the existing software system is not intelligent enough and comprehensive in function, so that a car owner cannot find a parking space or is far away from a destination when driving to a parking lot, time is wasted, and user experience is influenced.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a parking lot recommendation method and system, wherein a priority selection list is listed for a user through a parking lot recommendation system according to the remaining parking number and the time of the user arriving at a parking lot, so that the user can quickly find out the optimal parking space information, public parking resources are not wasted, and the technical problem that an owner wastes too much time in the parking problem is solved.
In order to achieve the purpose, the invention adopts the technical scheme that:
a parking lot recommendation method comprises the following steps: a, a database receives reported information of geomagnetism of a parking lot in real time, and counts the parking position state of the parking lot for predicting the use condition of parking positions at a certain time point; b, installing and registering a user APP by the user, inputting a destination, and uploading the current position information of the user to a server; step C, calculating the time required by the user to reach the destination and the arrival time point by using a third-party map; step D, searching nearby parking lot information according to destination information input by a user, acquiring data information of corresponding time points of the parking lots through a data analysis technology, and estimating the number of remaining parking lots at the time points of arrival of the user; e, intelligently sequencing the parking lots according to the number of remaining vehicles, the distance between the parking lots and the destination and the charging condition, and pushing the parking lots to a user; and F, selecting the parking lot by the user, and navigating through the third-party map.
Further, the method further comprises: after the user selects the parking lot, the database counts the parking position state of the parking lot in the navigation process in real time, and when the number of parking positions of the parking lot in the navigation process is less than a certain number, the parking position state is reminded.
Further, the geomagnetic reporting information of the parking lot includes geomagnetic position information and parking position state information.
And further, in the step E, intelligently sequencing the parking lots according to the priority set by the user.
Furthermore, in the step E, after intelligently sorting the parking lots, when the parking lots ranked in the top ten include the parking lots used by the user before, the parking lots are preferentially pushed.
In addition, the technical scheme of the invention also comprises a parking lot recommendation system for realizing the parking lot recommendation method, wherein the parking lot recommendation system is respectively in communication connection with the geomagnetism of the parking lot and an intelligent terminal, the intelligent terminal is provided with a user APP and a third-party map, and the parking lot recommendation system comprises a database and a server; the database is used for receiving the reported information of the geomagnetism of the parking lot in real time and counting the number of the remaining parking spaces of the parking lot according to the current time; the server is used for receiving the user position information and the destination information uploaded by the user APP and calculating an arrival time point; and searching nearby parking lot information, intelligently sorting the parking lot information and then pushing the parking lot information to the user.
The invention has the beneficial effects that:
according to the method and the system for recommending the parking lot, the time required by driving to the parking lot is calculated according to the distance between the parking lot and the destination, the information of the rest parking places when the vehicle reaches the destination is predicted, and the list recommendation is carried out on the user by combining the related information so that the user can select the information, so that the purposes of not occupying public resources and quickly and accurately finding the optimal parking place are achieved, and the timeliness and the accuracy of finding the parking place are improved.
Drawings
Fig. 1 is a flowchart of a parking lot recommendation method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a parking lot recommendation system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention are described clearly and completely below, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments.
The following description of the present invention will be made with reference to the accompanying drawings 1-2.
The first embodiment,
As shown in fig. 1, the embodiment of the invention discloses a parking lot recommendation method, which mainly solves the problem that a lot of time is spent on finding a parking lot and a parking space when a self-driving trip is performed. The method comprises the following specific steps:
and step A, a database receives the reported information of the geomagnetism of the parking lot in real time, and counts the parking position state of the parking lot for predicting the use condition of the parking position at a certain time point.
By means of the internet of things technology, the geomagnetism of each parking lot is in communication connection with the database, the geomagnetism of the parking lot reports the position information and the berth state information of the geomagnetism in real time, and more accurate statistics of the residual berth number of the whole parking lot is facilitated. The server counts the remaining available berth number of the parking lot according to the current time point, and the server counts, stores and records the available berth information of each parking lot at each time point, so that data analysis is facilitated.
And step B, the user installs and registers the user APP, inputs a destination, and uploads the current position information of the user to a server. The user installs and registers the user APP by using the intelligent terminal, inputs destination information through the user APP, and uploads the current position information of the user to the server so as to calculate the time spent by the current position of the user to the destination position.
And step C, calculating the time required by the user to reach the destination and the arrival time point by using the third-party map.
And D, searching the information of the nearby parking lots according to the destination information input by the user, acquiring the data information of the corresponding time points of the parking lots through a data analysis technology, and estimating the number of remaining parking lots at the time points of arrival of the user. The server searches nearby parking lots, acquires position information, distance information, charging information and the like of the parking lots, extracts the current parking position state of each parking lot in the database, and acquires the predicted number of empty parking positions of corresponding time points of the corresponding parking lots through a data analysis technology.
The server utilizes big data analysis, and according to the number of vacant parking spaces in the day of last several weeks, the number of remaining parking spaces in the day of last several months, and even the number of remaining parking spaces in each day in a year, statistics analysis is carried out at the time point when the user arrives at the parking lot, which vehicles can enter the parking lot, which vehicles can exit the parking lot, and the number of the vacant parking spaces in the parking lot when the user arrives is predicted more accurately. In addition, the system also combines the flow of nearby vehicles, vehicles often parked in the parking lot, even nearby vehicles often parked in nearby parking lots, and through statistical analysis of the data, the user can conveniently select a specific parking lot to park.
And E, intelligently sequencing the parking lots according to the information such as the number of remaining vehicles, the distance between the parking lots and the destination, the charging condition and the like, and pushing the information to the user for the user to select.
And F, checking the optimal parking lot list information of the destination by the user through the APP, selecting the parking lot according to the actual situation of the user, and navigating through the third-party map. Preferably, after the user selects the parking lot, the database counts the parking space states of the parking lot at the current time in real time, and when the parking spaces of the parking lot at the current time are less than a certain number, preferably less than three, the reminding is performed, so that the user can reselect the parking spaces, and the parking spaces can be used when the user reaches the parking lot.
Example II,
The embodiment of the invention discloses a parking lot recommendation method, which further comprises the steps of after a user installs and registers a user APP, carrying out personalized setting on the user APP, and setting the sequencing priority of parking lots, so that the APP can carry out intelligent sequencing on the obtained parking lots, for example, sequencing according to the charge price, thereby saving the cost; and sequencing according to the distance between the parking lot and the destination to save walking time.
Preferably, after the parking lots are intelligently sorted, when the parking lots ranked in the top ten include the parking lots used by the user before, priority pushing can be performed, so that the user can quickly find the familiar parking lot, the time for the user to find the parking lot is saved, and the parking efficiency is improved.
Example III,
As shown in fig. 2, the embodiment of the invention discloses a parking lot recommendation system, which is respectively in communication connection with parking lot geomagnetism and an intelligent terminal, and is used for receiving parking space state information uploaded by the parking lot geomagnetism and recommending parking spaces to users through a user APP of the intelligent terminal, so as to implement the parking lot recommendation method. The parking lot recommendation system at least comprises a database and a server, wherein the database is used for receiving reported information of geomagnetism of a parking lot in real time and counting the number of remaining parking spaces of the parking lot according to the current time; the server is used for receiving the user position information uploaded by the user APP and calculating an arrival time point; and searching nearby parking lot information, intelligently sorting the parking lot information and pushing the parking lot information to the user. The user installs and registers the APP through the intelligent terminal, the intelligent terminal comprises a third-party map, destination information can be inquired through the APP of the intelligent terminal, and navigation is performed.
According to the parking lot recommendation method and system, the time required for driving to reach the parking lot is calculated according to the distance of the parking lot; and a priority list is listed according to the information of the remaining time, the parking spaces and the like, so that a user can quickly find the parking lot with the most remaining parking spaces, the most economical price or the closest distance. And estimating when the parking lot is full according to the big data, updating the data in real time to prompt the user, saving a large amount of search time of the user, and ensuring that the user has spare parking spaces for the user to use when reaching the parking spaces, thereby improving the timeliness and the accuracy of searching the parking spaces.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (6)
1. A parking lot recommendation method is characterized by comprising the following steps:
a, a database receives reported information of geomagnetism of a parking lot in real time, and counts the parking position state of the parking lot for predicting the use condition of parking positions at a certain time point;
b, installing and registering a user APP by the user, inputting a destination, and uploading the current position information of the user to a server;
step C, calculating the time required by the user to reach the destination and the arrival time point by using a third-party map;
step D, searching nearby parking lot information according to destination information input by a user, acquiring data information of the current time point of the parking lot through a data analysis technology, and estimating the number of remaining parking lots at the time point of arrival of the user;
e, intelligently sequencing the parking lots according to the number of remaining vehicles, the distance between the parking lots and the destination and the charging condition, and pushing the parking lots to a user;
and F, selecting the parking lot by the user, and navigating through the third-party map.
2. The parking lot recommendation method according to claim 1, further comprising: after the user selects the parking lot, the database counts the parking position state of the parking lot in the navigation process in real time, and when the number of parking positions of the parking lot in the navigation process is less than a certain number, the parking position state is reminded.
3. The parking lot recommendation method according to claim 1, wherein the parking lot geomagnetic reported information includes geomagnetic position information and parking position state information.
4. The parking lot recommendation method according to claim 1, wherein in the step E, the parking lots are intelligently sorted according to the priority set by the user.
5. The parking lot recommendation method according to claim 1, wherein in the step E, after intelligently sorting the parking lots, when the parking lots in the top ten of the ranking include the parking lots used by the user before, priority pushing is performed.
6. The parking lot recommendation system is used for realizing the parking lot recommendation method according to any one of claims 1 to 5, and is in communication connection with geomagnetism of a parking lot and an intelligent terminal respectively, a user APP and a third-party map are arranged on the intelligent terminal, and the parking lot recommendation system comprises a database and a server;
the database is used for receiving the reported information of the geomagnetism of the parking lot in real time and counting the number of the remaining parking spaces of the parking lot according to the current time;
the server is used for receiving the user position information and the destination information uploaded by the user APP and calculating an arrival time point; and searching nearby parking lot information, intelligently sorting the parking lot information and then pushing the parking lot information to the user.
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| CN202011247486.0A CN112422671A (en) | 2020-11-10 | 2020-11-10 | Parking lot recommendation method and system |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113282835A (en) * | 2021-06-17 | 2021-08-20 | 东软睿驰汽车技术(大连)有限公司 | Parking place recommendation method and device and electronic equipment |
| CN113362642A (en) * | 2021-06-25 | 2021-09-07 | 厦门市政智慧城市科技有限公司 | Intelligent intersection method, system and equipment for parking lot information |
| CN113643563A (en) * | 2021-07-26 | 2021-11-12 | 东风汽车集团股份有限公司 | Intelligent parking lot dynamic management method and system based on information sharing |
| CN113658446A (en) * | 2021-08-20 | 2021-11-16 | 展讯通信（上海）有限公司 | Path planning method and device, computer readable storage medium and terminal |
| CN114038231A (en) * | 2021-10-25 | 2022-02-11 | 深圳市神州路路通网络科技有限公司 | Parking lot utilization rate scheduling method, system, equipment and storage medium |
| CN114048397A (en) * | 2021-09-29 | 2022-02-15 | 深圳市顺易通信息科技有限公司 | Parking lot information recommendation method and related device |
| CN114419923A (en) * | 2022-01-25 | 2022-04-29 | 青岛文达通科技股份有限公司 | Parking space recommendation method and system based on graph network |
| CN114446063A (en) * | 2021-12-10 | 2022-05-06 | 深圳市顺易通信息科技有限公司 | Remaining parking number reminding method and device |
| CN115050188A (en) * | 2022-08-15 | 2022-09-13 | 中交一公局第六工程有限公司 | Method for predicting remaining parking spaces of indoor parking lot |
| CN117809481A (en) * | 2024-02-29 | 2024-04-02 | 泰安市东信智联信息科技有限公司 | Urban intelligent parking optimal recommendation system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113282835A (en) * | 2021-06-17 | 2021-08-20 | 东软睿驰汽车技术(大连)有限公司 | Parking place recommendation method and device and electronic equipment |
| CN113282835B (en) * | 2021-06-17 | 2024-04-09 | 东软睿驰汽车技术(大连)有限公司 | Parking place recommendation method and device and electronic equipment |
| CN113362642A (en) * | 2021-06-25 | 2021-09-07 | 厦门市政智慧城市科技有限公司 | Intelligent intersection method, system and equipment for parking lot information |
| CN113362642B (en) * | 2021-06-25 | 2022-06-03 | 厦门市政智慧城市科技有限公司 | Intelligent intersection method, system and equipment for parking lot information |
| CN113643563A (en) * | 2021-07-26 | 2021-11-12 | 东风汽车集团股份有限公司 | Intelligent parking lot dynamic management method and system based on information sharing |
| CN113658446A (en) * | 2021-08-20 | 2021-11-16 | 展讯通信（上海）有限公司 | Path planning method and device, computer readable storage medium and terminal |
| CN114048397A (en) * | 2021-09-29 | 2022-02-15 | 深圳市顺易通信息科技有限公司 | Parking lot information recommendation method and related device |
| CN114038231B (en) * | 2021-10-25 | 2022-12-02 | 深圳市神州路路通网络科技有限公司 | Parking lot utilization rate scheduling method, system, equipment and storage medium |
| CN114038231A (en) * | 2021-10-25 | 2022-02-11 | 深圳市神州路路通网络科技有限公司 | Parking lot utilization rate scheduling method, system, equipment and storage medium |
| CN114446063A (en) * | 2021-12-10 | 2022-05-06 | 深圳市顺易通信息科技有限公司 | Remaining parking number reminding method and device |
| CN114419923A (en) * | 2022-01-25 | 2022-04-29 | 青岛文达通科技股份有限公司 | Parking space recommendation method and system based on graph network |
| CN115050188B (en) * | 2022-08-15 | 2022-10-28 | 中交一公局第六工程有限公司 | Method for predicting remaining parking spaces of indoor parking lot |
| CN115050188A (en) * | 2022-08-15 | 2022-09-13 | 中交一公局第六工程有限公司 | Method for predicting remaining parking spaces of indoor parking lot |
| CN117809481A (en) * | 2024-02-29 | 2024-04-02 | 泰安市东信智联信息科技有限公司 | Urban intelligent parking optimal recommendation system |
| CN117809481B (en) * | 2024-02-29 | 2024-05-07 | 泰安市东信智联信息科技有限公司 | Urban intelligent parking optimal recommendation system |
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