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Mobile object following mode mining method based on Brownian bridge

A mobile object and pattern mining technology, applied in location-based services, data mining, special data processing applications, etc., can solve the problem of not considering the uncertainty of low sampling rate data, so as to solve the problem of discreteness and sampling inconsistency full effect

Inactive Publication Date: 2017-12-29
ZHEJIANG SCI-TECH UNIV
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Problems solved by technology

[0005] Aiming at the problem that the low sampling rate will lead to data uncertainty is not considered in the existing following pattern mining methods

Method used

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  • Mobile object following mode mining method based on Brownian bridge
  • Mobile object following mode mining method based on Brownian bridge
  • Mobile object following mode mining method based on Brownian bridge

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Embodiment Construction

[0021] The Brownian Bridge-based mining method for following patterns of moving objects of the present invention will be further described below in combination with specific embodiments.

[0022] A method for following pattern mining of moving objects based on Brownian Bridge, characterized in that the method comprises the steps of:

[0023] (1) Obtain the space and time information of two moving objects R and S

[0024] The space and time information of moving objects R and S are acquired through smart devices. The location point of moving object R at time t∈[0,T] is R(t), and the location point of moving object S at time t′ is S(t ’), then in the Brownian bridge model, the location point R(t) satisfies the mathematical expectation of μ R (t), the variance is The probability distribution of , the location point S(t′) satisfies the mathematical expectation of μ S (t′), the variance is the probability distribution of

[0025] (2) Calculate the probability distribution of...

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Abstract

The invention discloses a mobile object following mode mining method based on a Brownian bridge. According to the method, the mode of a mobile object is analyzed by means of Brownian bridge modeling, a following mode is described by means of probability distribution, a visual probability is utilized to express the probability size of following, and therefore the problems of discreteness of actually sampled data and sampling incompleteness are solved. The method has remarkable application to discovery of mobile objects with motion modes in a certain relation.

Description

technical field [0001] The invention relates to the field of mobile object following pattern mining, in particular to a Brownian bridge-based mobile object following pattern mining method. Background technique [0002] With the continuous development of various positioning tools, a large amount of moving object data can be recorded by GPS devices, smart phones, wireless network devices, etc. As the basis for analyzing the behavior of moving objects, these moving data contain important information of moving objects in space and time. Pattern research on these information not only helps to understand the behavior patterns of moving objects, but also the research results have been applied in traffic management, abnormal animal behavior analysis, path planning and other fields. At present, the pattern mining of moving objects mainly focuses on periodic pattern mining, frequent pattern mining, guard pattern mining, cluster pattern mining and so on. [0003] The following mode o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30H04W4/02
CPCG06F16/29G06F16/9537G06F2216/03H04W4/021
Inventor 刘良桂陈炳宪贾会玲张宇
Owner ZHEJIANG SCI-TECH UNIV
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