Individual behavior analysis method based on mobile phone signaling data and POI points of interest

A mobile phone signaling and behavior analysis technology, applied in location-based services, geographic information databases, service signaling, etc., can solve the problems of large randomness of crowd travel behavior samples and low data volume, etc.

Active Publication Date: 2020-08-25
BEIHANG UNIV
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Problems solved by technology

[0005] The technology of the present invention solves the problem: it solves the problems of large randomness and l

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  • Individual behavior analysis method based on mobile phone signaling data and POI points of interest
  • Individual behavior analysis method based on mobile phone signaling data and POI points of interest
  • Individual behavior analysis method based on mobile phone signaling data and POI points of interest

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Embodiment Construction

[0073] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0074] According to an embodiment of the present invention, the present invention proposes a method for analyzing individual behavior based on mobile phone signaling data and POI points of interest, including the following steps:

[0075] (1) According to the characteristics of mobile phone signaling data such as base station jitter and low sampling frequency, pre-process the mobile phone signaling data. Firstly, the data with incorrect data format...

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Abstract

The invention discloses an individual behavior analysis method based on mobile phone signaling data and POI (Point of Interest) data, which is used for solving the problem of individual travel behavior identification of special social crowds. The method comprises two parts of personal travel feature extraction and travel behavior prediction: (1) personal travel feature extraction: completing personal travel chain extraction by using mobile phone signaling data; based on the personal travel chain data, designing travel features and calculating the personal travel features in combination with POI interest point data a;nd (2) personal travel behavior prediction: based on personal travel characteristics, predicting personal travel behaviors by adopting a decision tree method.

Description

technical field [0001] The invention belongs to the field of trajectory data mining, and more specifically, is an individual behavior analysis method based on trajectory data, which can be used to analyze the activity rules and living habits of target attribute groups. Background technique [0002] In recent years, with the popularity of smart phones and 4G communication technology, mobile phones have become one of the devices that most people carry with them every day. Therefore, mobile phone signaling data has the advantages of large data volume and wide coverage of users. By analyzing mobile phone signaling data and travel characteristics, rich semantic information such as crowd activity rules and living habits can be obtained, which has gradually become a research hotspot in the field of trajectory data mining. [0003] Transportation travel is very important to every resident's daily life. Travel is a derived demand. Individuals organize daily life by arranging travel O...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F16/29H04W4/029H04W4/20
CPCG06Q30/0201G06F16/29H04W4/029H04W4/20Y02D30/70
Inventor 诸彤宇许伟魏翔
Owner BEIHANG UNIV
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