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User activity type judgment method based on smart device data

A technology of smart devices and user activities, applied in the direction of location-based services, etc., can solve the problems of poor real-time availability and little research.

Inactive Publication Date: 2017-12-29
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

[0006] Based on this, it is necessary to provide a more real-time based method for judging the types of activities other than "home" and "work" in the identification of user travel activity types. Currently, there are few studies and poor real-time performance. User Activity Type Discrimination Method for Smart Device Data

Method used

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  • User activity type judgment method based on smart device data
  • User activity type judgment method based on smart device data
  • User activity type judgment method based on smart device data

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Embodiment Construction

[0051] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] figure 1 The flow chart of the user activity type identification method based on smart device data provided by the present invention is firstly explained as a whole the operation flow of the user activity attribute identification method based on smart device data provided by the present invention. First, obtain the smart device data of all users in a city or a region from smart device network operators, smart device APPs, and other public resources. Then clean the smart device data, organize and divide the data, and then extract the activity features to determine whether the user's activity...

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Abstract

The relates to a user activity type judgment method based on smart device data, comprising the following steps of obtaining the smart device data of a user; carrying out data cleaning to obtain moving tracks of the user and obtaining trip links of the user through travel identification; extracting activity start time and activity duration time and obtaining land usage corresponding to staying sections according to points of interest in the staying sections; analyzing the smart device data of trips of the user within a few days and judging a position of a user home and / or a workplace, thereby obtaining two activity types: being at home and being at work; and for other types of activities except being at home and being at work, inputting activity features into an activity classifier, thereby obtaining corresponding activity types. According to the method, the activity types of the user can be analyzed according to the smart device data of the user, a time threshold or a space threshold involved in an analysis process is calibrated according to traditional user trip survey data, and the method has usability, accuracy and timeliness.

Description

technical field [0001] The present invention relates to user smart device data analysis, in particular to a method for discriminating user activity types based on smart device data. Background technique [0002] Urban residents' travel activity information is an important basis for urban planning, traffic management, and residents' activities research, and is generally obtained through residents' travel surveys. For the acquisition of information on residents' travel activities, traditional survey methods generally include home visits, telephone inquiries, and postcards. At present, the survey methods based on household interviews and paper questionnaires are mainly used in China. The disadvantages of this method are obvious, namely heavy burden of respondents, low survey accuracy, high survey cost, low sampling rate, etc., which cannot meet the needs of rapid urban development. [0003] Smart device data has become an indispensable data source in current traffic big data ...

Claims

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Application Information

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IPC IPC(8): H04W4/02
CPCH04W4/029
Inventor 杨超朱荣荣许项东
Owner TONGJI UNIV
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