User group distribution prediction method and system

A technology of distribution prediction and user group, applied in the field of personnel positioning big data application, to achieve a wide range of applications

Inactive Publication Date: 2018-06-15
YANGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, there is no public report on the method of analyzing and predicting the flow of people in a certain area (such as commercial areas, office areas, parks, etc.) without involving personal privacy.

Method used

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  • User group distribution prediction method and system
  • User group distribution prediction method and system
  • User group distribution prediction method and system

Examples

Experimental program
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Embodiment Construction

[0032] like figure 1 As shown, the user group distribution prediction method of the present invention comprises the following steps:

[0033] (10) Geographical area division: Use the existing geographic location information to divide the city into geographical areas, including living areas, working areas, commercial areas and main streets;

[0034] The main areas are divided into image 3 shown. The map information of the target area is stored in advance, and combined with the map data information, each component in the area is divided, numbered, and its boundary value is determined. Use A, B, C, and D to represent commercial squares, science and technology parks, and residential quarters, respectively.

[0035] Area boundary values ​​are described as image 3 shown.

[0036] The building area generally exists in an approximately rectangular shape, such as Figure 4 As shown, taking commercial plaza A as an example, its boundary values ​​x1, x2, y1, and y2 can all be obt...

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Abstract

The invention discloses a user group distribution prediction method and system. The method comprises the following steps of: (10) geographic area division: carrying out geographic area division on a city by utilizing existing geographic position information; (20) current stay area determination: collecting and recording position information of users, updating coordination positions of the users according to a set updating frequency, and judging the current stay areas of the users; and (30) user group prediction: calculating user retention quantity proportions in each area at different times, and predicting a quantity of user groups in each area at a certain time period and flow trends of the user groups between the areas by utilizing existing data. The system comprises a user terminal (101), a data collection module (201), a geographic database module (202), a data calculation module (203), a data mining module (204) and a database server (205). The user group distribution prediction method and system are capable of effectively predicting user group distribution without referring to personal privacies.

Description

technical field [0001] The invention belongs to the technical field of personnel positioning big data application, in particular to a user group distribution prediction method and system that effectively predicts user group distribution and does not involve personal privacy. Background technique [0002] With the help of GPS positioning technology, users holding mobile phones with GPS functions can be accurately positioned. Mobile positioning provides various useful services for individual users, such as navigation functions, combined with geographic database information, can provide users with very useful help. [0003] In order to analyze the activity rules of the crowd from a macro perspective, it is necessary to collect, record and analyze all user location information. [0004] However, in the existing methods, it is basically to record and analyze the user's personal activity track and predict the future movement trend, or to predict the probability of a certain user ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/04
CPCG06Q10/04G06Q30/0201
Inventor 王进牛俊明王凯
Owner YANGZHOU UNIV
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