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

Crowd type identification method based on mobile phone signaling data

A mobile phone signaling and type recognition technology, applied in market data collection, character and pattern recognition, computer components, etc., can solve problems such as poor scalability and poor portability, improve objectivity, enhance applicability, and avoid subjectivity sexual effect

Active Publication Date: 2019-09-17
NANJING RUIQI INTELLIGENT TRANSPORTATION TECH IND RES INST CO LTD
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, this method has poor scalability, is sensitive to special dates and research areas, and has poor portability

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
  • Crowd type identification method based on mobile phone signaling data
  • Crowd type identification method based on mobile phone signaling data
  • Crowd type identification method based on mobile phone signaling data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] In step S1, take a 13-day mobile phone signaling data in Kunshan City, Jiangsu Province as an example. During this period, there were 5,863,054 mobile phone users in Kunshan City. The basic attribute information of mobile phone users includes age, gender, number attribution, household registration and mobile phone unique identifier, as shown in Table 1.

[0051] Table 1 Basic attribute information of mobile phone users

[0052]

[0053] In step S2, based on the mobile phone signaling data, relevant characteristics of crowd travel are extracted. Types and interpretations are shown in Table 2, and an example of aggregation statistics based on crowd travel characteristics is shown in Table 3:

[0054] Table 2 Types and interpretations of characteristics related to crowd travel

[0055]

[0056]

[0057] Table 3 Example of aggregation statistics based on crowd travel characteristics

[0058]

[0059] In step S3, the distance entropy method is used to sort the...

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 crowd type identification method based on the mobile phone signaling data, and belongs to the technical field of the crowd type identification. According to the method, the mobile phone signaling data and the basic attribute information of the mobile phone users are combined, and the crowd travel related characteristics are mined and extracted. The method comprises the following steps of calculating the total distance entropy among all samples, and sorting all features according to the importance degree by utilizing a backward elimination method so as to select the features; and based on the screened features, performing clustering analysis on the mobile phone signaling data by utilizing a k-means clustering method, and dividing the clustering clusters; and performing the crowd type identification on each clustering cluster in combination with the distribution condition of each crowd in the corresponding feature. Compared with the prior art, the method has the advantages that the information in the mobile phone signaling data can be more fully mined, and the category attributes of the crowd are analyzed from the global perspective by utilizing a machine learning method, the dependence and requirements on the priori experience knowledge are reduced, the applicability of the method is improved, and the subjectivity brought by a rule discrimination method can be avoided.

Description

technical field [0001] The invention belongs to the technical field of crowd type identification, and in particular relates to a crowd type identification method based on mobile phone signaling data. Background technique [0002] With the development and popularization of communication and Internet technology, the mining research of big data with a large amount of potential information behind it emerges as the times require. According to statistics from the Ministry of Industry and Information Technology, by the end of 2015, there were 1.286 billion mobile phone users across the country, and the penetration rate of mobile phones was 94.5 per 100 people. Its mobile phone signaling data has attracted the attention of many scholars due to its rich content, high sampling rate and good timeliness. However, due to the protection of privacy and some limitations of the data collection field, it is difficult to obtain accurate sample information with labels, such as the types and at...

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 Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06F18/23213
Inventor 张改陆振波万紫吟张静芬丁达张念启施玉芬刘晓庆丁向燕
Owner NANJING RUIQI INTELLIGENT TRANSPORTATION TECH IND RES INST CO LTD
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