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Locus prediction method utilizing fuzzy locus sequence

A trajectory prediction and user trajectory technology, which is applied in fuzzy logic-based systems, character and pattern recognition, instruments, etc., can solve the problem of inaccurate prediction method processing, and achieve the effect of improving prediction accuracy and enhancing robustness

Active Publication Date: 2017-10-13
XI AN JIAOTONG UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to propose a trajectory prediction method using a fuzzy trajectory sequence for the prediction problem of inaccurate and offset user trajectory sequences. The method predicts the user trajectory by introducing a fuzzy trajectory sequence, so that the prediction method can Handling imprecise trajectory sequences with coordinate offsets can be more widely used in real-life trajectory prediction

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  • Locus prediction method utilizing fuzzy locus sequence
  • Locus prediction method utilizing fuzzy locus sequence
  • Locus prediction method utilizing fuzzy locus sequence

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[0039] In order to make the content, effects and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0040] The present invention is a prediction method based on fuzzy logic. By performing fuzzy preprocessing on trajectory data, the prediction method can deal with the obtained inaccurate and biased trajectory prediction problem. The present invention designs an adaptive Gaussian kernel fuzzy C-means clustering method. By introducing an adjustment algorithm of kernel width, the clustering method can be more applicable to various situations more widely. At the same time, the present invention adopts an outlier model to deal with problems caused by sparse training samples. figure 1 The strategy flow of the present invention is shown in , by calculating the inter-cluster membership degree corresponding to the sample to be predicted and each extracted fuzzy logic rule, ...

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Abstract

The invention provides a locus prediction method utilizing a fuzzy locus sequence. A fuzzy locus sequence model is introduced, fuzzification processing on movement locus of a user is carried out, through a prediction method of a fuzzy time sequence, the movement locus of the user is predicted. Fuzzification processing on the locus of the user is carried out, a grid fuzzification method is designed, and the fuzzy locus sequence model is realized. The method is advantaged in that an off-group point processing mechanism is introduced, a locus prediction problem under the insufficient historical information condition can be processed, through introducing the off-group point detection mechanism and an off-group point prediction model, influence of off-group points on integral algorithm performance is reduced.

Description

technical field [0001] The invention relates to the problem of user trajectory sequence prediction, in particular to a trajectory prediction method that introduces a fuzzy trajectory sequence model. Background technique [0002] 1. Trajectory prediction [0003] With the development and wide application of positioning technology, location-based service (Location-based Service, LBS) has gradually become an indispensable part of life. By analyzing the user's trajectory information and mining the hidden user information to improve the user's service experience, it has become an important field of data mining. Predicting the user's trajectory through the user's trajectory information is crucial to applications such as navigation services, traffic management, and location-based advertising, and has become a research hotspot in trajectory mining. [0004] 2. Common methods of trajectory prediction [0005] The trajectory prediction problem is mainly divided into long-term predi...

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Application Information

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IPC IPC(8): G06K9/62G06N7/02
CPCG06N7/02G06F18/23211
Inventor 曲桦张艳鹏刘军赵季红
Owner XI AN JIAOTONG UNIV
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