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Spatial-temporal trajectory-based group movement mobile cluster mode sorting method

A technology of space-time trajectory and sorting method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve easy-to-achieve effects

Active Publication Date: 2018-06-01
NANJING NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] Purpose of the invention: The purpose of the present invention is to solve the deficiencies in the prior art, provide a method for sorting group movement cluster patterns based on spatio-temporal trajectories, and solve the problem of sorting the importance of a large number of mobile clusters excavated from trajectory patterns

Method used

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  • Spatial-temporal trajectory-based group movement mobile cluster mode sorting method
  • Spatial-temporal trajectory-based group movement mobile cluster mode sorting method
  • Spatial-temporal trajectory-based group movement mobile cluster mode sorting method

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Embodiment 1

[0072] 1. Experimental settings:

[0073]In this embodiment, two real GPS track data sets are used for experiments. Dataset 1 (HKT) is the movement track data of tourists in Hong Kong Ocean Park from July 6 to July 10, 2014, from 10:00 am to 8:00 pm every day. Dataset 2 (BJT) is 13,617 rental vehicles in Beijing The car's GPS data from November 2 to November 8, 2012.

[0074] In order to illustrate the applicability of the present invention, the aggregation patterns with different directions of group movement cluster patterns and the bee colony patterns with the same direction are selected as the input data for sorting. The above two models are the recent research work on the aggregation movement pattern and the accompanying movement pattern at the top conference of the database respectively. Since the bee colony mode completely relaxes the time requirement, there are more noises in the mining results and higher requirements for the sorting method. The effectiveness of the p...

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Abstract

The invention discloses a spatial-temporal trajectory-based group movement mobile cluster mode sorting method. The method comprises the following steps of: constructing a mobile cluster-interest pointbipartite graph; and carrying sorting on the basis of a restart type random walk model. According to the method, a problem of carrying out importance sorting on mobile clusters on the basis of the restart type random walk model is converted into a problem of carrying out importance calculation on vertexes in the mobile cluster-interest point graph; a probability value of each vertex represents the importance of the vertex, and when the probability is larger, the vertex is more important; and by utilizing the model, the importance sorting of the mobile clusters is easy to realize, so that users can automatically complete the sorting process without setting excessive parameters.

Description

technical field [0001] The invention relates to the field of trajectory pattern mining of spatio-temporal data, in particular to a method for sorting group movement cluster patterns based on spatiotemporal trajectories. Background technique [0002] With the rapid growth of the amount of trajectory data of moving objects, the demand for analysis and mining of trajectory data has been significantly enhanced. By mining trajectory data, a large number of spatiotemporal trajectory patterns can be discovered. As an important part of the spatio-temporal trajectory pattern, the group movement cluster pattern can discover valuable information in the trajectory big data, which can be used to analyze the movement trend and movement law of the moving object group. For group movement cluster patterns, how to find valuable and important results from a large number of mining results involves the ordering of patterns. Due to the variety of swarm movement movement cluster patterns, the de...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2465G06F16/9024G06F16/9537
Inventor 吉根林张玉洁赵斌
Owner NANJING NORMAL UNIVERSITY
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