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User activity space recognition method based on mobile phone signaling

A user activity and space recognition technology, applied in the direction of location information-based services, service signaling, character and pattern recognition, etc., can solve the problems of large recognition errors, improve accuracy, improve authenticity and accuracy, traffic The effect of accurate demand forecasting

Active Publication Date: 2019-10-18
重庆市交通规划研究院
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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

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  • User activity space recognition method based on mobile phone signaling

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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: Do domain 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 activities accor...

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Abstract

The invention discloses a user activity space recognition method based on mobile phone signaling, and the method achieves the automatic recognition of activity points of a user through employing a space-time clustering model, builds the correlation between discrete staying points, and improves the grouping accuracy of the staying points. Moreover, the identification of living, working and other activity purposes is realized by establishing the activity rule index of the user, so that the authenticity and accuracy of the user activity rule are improved; besides, the activity rule of the user isidentified through the identification method so that identification of living, working and other activity objectives of the user can be realized. The authenticity and the accuracy of the activity rule of the user are improved, the activity rule and the activity purpose of the user can be dynamically mastered, the resident travel survey cost is reduced, and the traffic demand prediction is more accurate; and the scientificity of planning and layout construction of residential land, post land, various public service facilities and the like in urban space planning can be improved.

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

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Application Information

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Patent Type & Authority Applications(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
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