Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

User activity space identification method based on mobile phone signaling

A technology for user activity and spatial recognition, applied in the directions of location-based services, service signaling, character and pattern recognition, etc., can solve problems such as large recognition errors, improve accuracy, accurate traffic demand prediction, and improve authenticity. and the effect of accuracy

Active Publication Date: 2021-07-20
重庆市交通规划研究院
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a user activity space identification method based on mobile phone signaling to solve the problem of large identification errors in existing user activity space identification methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • User activity space identification method based on mobile phone signaling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Such as figure 1 The shown mobile phone signaling-based user activity space identification method includes the following steps:

[0024] S1: Obtain the user's stay point information according to the mobile phone signaling data, and group the stay point information according to the user's unique identifier as a data source for user activity space identification; wherein, the user's stay point P j Including user number, stop point number, stop point location, stop point start and end time.

[0025] S2: Perform neighborhood analysis on the data source, and construct the user's stay point P j and all stay points P j The neighborhood set {P i}’s stay point relationship model; among them, the neighborhood set {P i} is the user’s stay point P j is a combination of the center of the circle and other stay point information within the radius r, and the radius r can be specifically set to 500m.

[0026] S3: Using a spatio-temporal clustering algorithm to calculate user activ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a user activity space identification method based on mobile phone signaling. The identification method realizes the automatic identification of the user's activity points by adopting a time-space clustering model, establishes the correlation between discrete stay points, and improves the number of stay points. The accuracy of grouping; and, by establishing the user's activity law index to realize the identification of residence, work and other activities, the authenticity and accuracy of the user's activity law are improved; in addition, the user's activity law is identified through this identification method and then Realize the identification of the user's living, working and other activity purposes, while improving the authenticity and accuracy of the user's activity rules, it is also conducive to dynamically grasping the user's activity rules and activity purposes, reducing the cost of residents' travel surveys, and making traffic demand forecasting It is more accurate; it can also help to improve the scientificity of the planning and layout construction of residential land, post land, and various public service facilities in urban space planning.

Description

technical field [0001] The invention relates to a user activity space identification method based on mobile phone signaling. Background technique [0002] In the prior art, in the discovery of the user's occupation and residence, the mining of user activity rules based mainly on mobile phone signaling is currently mainly based on the fixed spatial unit boundaries (such as business districts, parks, and residential areas) to count the cumulative activity frequency of users in this area for many days. , Activity duration. At present, the commonly used clustering algorithm is to realize the clustering and grouping of data by finding the largest set of density-connected objects and finding the largest set of density-connected discrete space data in a certain space range. [0003] In the existing user activity rule mining technology, it can only be identified for fixed time periods and fixed areas, and is affected by the size of the designated monitoring area and base station si...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W4/20G06K9/62
CPCH04W4/029H04W4/20G06F18/23
Inventor 赵必成唐小勇高志刚张建嵩
Owner 重庆市交通规划研究院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com