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Title:
SHORT-TIME PREDICTION METHOD AND SYSTEM FOR OCCUPANCY RATE OF PARKING SPACES IN PARKING LOT, DEVICE AND TERMINAL
Document Type and Number:
WIPO Patent Application WO/2024/065954
Kind Code:
A1
Abstract:
A short-time prediction method and system for the occupancy rate of parking spaces in a parking lot, a device and a terminal, belonging to the technical field of data analysis. The method comprises: on the basis of historical parking space occupancy rate data of a parking lot, constructing parking space occupancy rate time series data (S101); by means of a time series data matrix construction method, splitting the time series data into time series data subsets having the same length, and constructing a time series data matrix (S102); selecting data at random in the time series data matrix to be combined with a gradient ascent decision tree model, so as to train said model (S103); and predicting the occupancy rate of the parking lot by means of the trained gradient ascent decision tree model (S104). The time series data used in the conventional parking space occupancy rate prediction is expanded into the time series data matrix and, on the basis of said matrix, the data in said matrix is selected at random to be combined with the gradient series decision tree model so as to train and predict said model, so that said model can better learn the change rule of the parking space occupancy rate, thereby improving the accuracy of short-time prediction of the parking space occupancy rate of the parking lot.

Inventors:
YAN PENGYU (CN)
XIE HAOYU (CN)
CAI XIAOQIANG (CN)
Application Number:
PCT/CN2022/129957
Publication Date:
April 04, 2024
Filing Date:
November 04, 2022
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Assignee:
YANGTZE DELTA REGION INSTITUTE OF UNIV OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA HUZHOU (CN)
International Classes:
G06Q10/02; G06F17/16; G06N5/00
Foreign References:
CN113821547A2021-12-21
CN114048886A2022-02-15
CN102024343A2011-04-20
CN109376331A2019-02-22
CN112085254A2020-12-15
CN114579640A2022-06-03
US20200293952A12020-09-17
Attorney, Agent or Firm:
SCIHEAD IP LAW FIRM (CN)
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