Automatic valet parking demand prediction method and device based on big data

A big data and parking technology, applied in the field of data processing, can solve problems such as environmental pollution, urban traffic operation and management problems, waste of car owners' time and fuel resources, etc., to achieve the effect of improving the degree of intelligence

Active Publication Date: 2022-03-04
广东飞翔云计算有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Difficulty in parking has become a problem that every urban passenger car user has to face almost every day, especially in areas with tight demand for public resources such as hospitals, commercial entertainment, and office buildings. According to the analysis of relevant industry data, globally, Nearly 30% of the traffic jams come from a large number of car owners trying to find parking spaces. L

Method used

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  • Automatic valet parking demand prediction method and device based on big data
  • Automatic valet parking demand prediction method and device based on big data
  • Automatic valet parking demand prediction method and device based on big data

Examples

Experimental program
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Effect test

Embodiment 1

[0047] figure 1 It is a flow chart of an embodiment of an automatic valet parking demand prediction method based on big data provided in Embodiment 1 of the present application. This embodiment can be applied to a parking lot management platform (hereinafter referred to as the platform). Wherein, the parking lot management platform may be a platform dedicated to managing one parking lot brand, or a general platform for managing multiple parking lot brands, which is not limited in this embodiment. For example, the parking lot management platform may be a special platform developed by the parking lot brand to realize the intelligent management of the owned parking lots, and it is only applicable to the management of the parking lot of this brand. Alternatively, the parking lot management platform can also be a third-party management platform. After the parking lot is registered in the parking lot management platform, the parking lot management platform can be used for intelligen...

Embodiment 2

[0106] figure 2 A structural block diagram of an embodiment of an automatic valet parking demand prediction device based on big data provided for Embodiment 2 of the present application. The device can be applied to a parking lot management platform and can include the following modules:

[0107] A valet parking model construction module 210, configured to obtain historical valet parking data of the current parking lot in the past period of time, and construct a valet parking model of the current parking lot according to the historical valet parking data ;

[0108] The user information obtaining module 220 is used to obtain the user information of all users of the current platform, the user information including the record of the user's history of using the valet parking service;

[0109] An environmental information acquisition module 230, configured to acquire real-time environmental information;

[0110] The parking usage probability determination module 240 is configure...

Embodiment 3

[0132] image 3 A schematic structural diagram of an electronic device provided in Embodiment 3 of the present application, such as image 3 As shown, the electronic device includes a processor 310, a memory 320, an input device 330, and an output device 340; the number of processors 310 in the electronic device may be one or more, image 3 Take a processor 310 as an example; the processor 310, memory 320, input device 330 and output device 340 in the electronic device can be connected by bus or other methods, image 3 Take connection via bus as an example.

[0133] The memory 320 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs and modules, such as the program instructions / modules corresponding to the above-mentioned Embodiment 1 in the embodiments of the present application. The processor 310 executes various functional applications and data processing of the electronic device by running software programs, inst...

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Abstract

The invention discloses an automatic valet parking demand prediction method and device based on big data, applied to a parking lot management platform, and the method comprises the steps: obtaining historical valet parking data of a current parking lot in a past period of time, and constructing a valet parking model of the current parking lot according to the historical valet parking data; obtaining user information of all users of the current platform, wherein the user information comprises records of the users who use the valet parking service in history; acquiring real-time environment information; inputting the user information and the real-time environment information into the valet parking model, and obtaining the probability that a user corresponding to the user information output by the valet parking model uses an automatic valet parking service in the current environment; and predicting the number of users of the automatic valet parking service in a future preset time period according to the probability. Therefore, related management personnel of the parking lot can make or adjust parking management decisions according to the predicted number of users, and the intelligent degree of the parking lot is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a big data-based automatic valet parking demand forecasting method, a big data-based automatic valet parking demand forecasting device, an electronic device, and a computer-readable storage medium. Background technique [0002] Difficulty in parking has become a problem that every urban passenger car user has to face almost every day, especially in areas with tight demand for public resources such as hospitals, commercial entertainment, and office buildings. According to the analysis of relevant industry data, globally, Nearly 30% of the traffic jams come from a large number of car owners trying to find parking spaces. Looking for parking spaces for a long time has caused a lot of road congestion, which not only wastes the time and fuel resources of car owners, but also brings a lot of environmental pollution. The pollution problem has also brought new difficul...

Claims

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Application Information

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IPC IPC(8): G08G1/0968
CPCG08G1/096833G08G1/096805
Inventor 刘榆厚王炜
Owner 广东飞翔云计算有限公司
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