Travel purpose identification method based on mobile phone signaling data

A technology of mobile phone signaling and identification method, applied in the fields of electronics and communications

Active Publication Date: 2021-10-29
SOUTHEAST UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to use low-cost communication data to efficiently ident

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
  • Travel purpose identification method based on mobile phone signaling data
  • Travel purpose identification method based on mobile phone signaling data
  • Travel purpose identification method based on mobile phone signaling data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described below in conjunction with the examples, but the protection scope of the present invention is not limited thereto.

[0044] In the present invention, after map matching is performed on the signaling data, starting from the identification of the stay point, the stop point identification is carried out based on the ST-DBSCAN space-time density clustering algorithm combined with a heuristic algorithm. Relying on the user's mobile phone signaling data with tags to mine the parameters of the spatio-temporal clustering algorithm, and taking into account the speed characteristics of travelers, the fineness of stay point recognition is improved. Through feature extraction, the spatio-temporal characteristics of user travel trajectories, personal attributes and built environment characteristics of transportation facilities are obtained, and the features are abstracted into nodes. Obtain directed arcs through the constraint-based Bay...

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 travel purpose identification method based on mobile phone signaling data, and the method comprises the steps: carrying out map matching of the signaling data, starting from the identification of a stop point, carrying out the identification of the stop point based on an ST-DBSCAN space-time density clustering algorithm, and combining with a heuristic algorithm. Parameters of a spatio-temporal clustering algorithm are mined depending on user mobile phone signaling data with labels, meanwhile, speed characteristics of travelers are considered, and the fineness of stay point recognition is improved. Trajectory spatial-temporal features, personal attributes and traffic facility built environment features of user travel are obtained through feature extraction, and the features are abstracted as nodes. A directed arc is obtained through a constraint-based Bayesian network structure learning algorithm, Bayesian network modeling is preliminarily completed, and a Bayesian network probability model is perfected through a rule heuristic modeling method by taking a travel purpose and commuting characteristics as deductive reasoning objects. When the travel purpose identification is carried out, the travel characteristics are obtained through the mobile phone signaling data of the user, and the travel purpose probability result of the traveler can be obtained.

Description

technical field [0001] The invention relates to the field of electronic technology and the field of communication, in particular to a multi-mode travel purpose identification method based on mobile phone signaling data. Background technique [0002] Travel purpose prediction is one of the fundamental problems in the field of transportation planning. With the continuous development of Internet technology, travel purpose prediction is very important for the development of emerging transportation systems (such as MaaS, carpooling, etc.). The development of mobile devices and wireless communication technology has greatly facilitated the acquisition of residents’ travel data. The huge number of mobile phone users has brought nearly a full sample of residents’ travel data and can track the location information of travelers in real time. The location information is the location information of the base station communicating with the user. How to use low-cost communication data to ...

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
IPC IPC(8): G06K9/62G06N20/10
CPCG06N20/10G06F18/2321G06F18/24155
Inventor 陆振波冯泽禹张改刘娟
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap