A method for determining the associated co-occurrence pattern of moving objects

A technology for moving targets and determining methods, applied in geographic information databases, special data processing applications, structured data retrieval, etc., can solve problems such as ignoring targets, single dimension of space or time, etc., and achieve simple and effective algorithms with low algorithm complexity , the effect of low computational complexity

Active Publication Date: 2022-03-25
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current activity rules of moving targets mostly focus on a single dimension of space or time, and focus on the analysis of single target activity rules, ignoring the behavior of the target.

Method used

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  • A method for determining the associated co-occurrence pattern of moving objects
  • A method for determining the associated co-occurrence pattern of moving objects
  • A method for determining the associated co-occurrence pattern of moving objects

Examples

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Embodiment 1

[0099] A method for determining an associated co-occurrence mode of a moving target, the specific steps are:

[0100] Step 1. Divide the activity data of the moving target to obtain an activity data set, and the specific division method is as follows:

[0101] Divide the active area of ​​the moving target by latitude and longitude to obtain the active area data set:

[0102] Area={a 1 ,a 2 ,…,a area }

[0103] In the formula, area is the total number of divided areas;

[0104] Example 1 The divided areas are shown in Table 1.

[0105] Table 1 Division area table

[0106] Aid area name center longitude central latitude 1 a 113.9333334 13.43333333 2 b 112.8836 9.569861 3 c 114.06 10.91361 4 d 115.53833 9.901667 5 e 112.83111 8.865 6 f 114.467721 9.910278 7 g 114.5586646 9.905833334 8 h 114.2811111 8.742083334

[0107] During the selected time period D=[d s ,d e ], in the unit of days, divide all...

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Abstract

The present invention proposes a method for determining the associated co-occurrence pattern of a moving object, comprising the following steps: step 1, dividing the activity data of the moving object to obtain an activity data set; step 2, calculating the single moving object according to the improved PrefixSpan algorithm Frequent activity pattern; step 3, calculating the co-occurrence intensity between pairs of objects; step 4, determining the co-occurrence pattern between pairs of objects according to user screening conditions. The method for determining the correlation co-occurrence pattern of the moving target in the present invention provides a method for determining the correlation co-occurrence pattern that comprehensively considers the frequent pattern of the moving target itself and the co-occurrence intensity between targets, and the result has a higher credibility.

Description

technical field [0001] The invention belongs to the determination technology of the moving target activity mode, in particular to a method for determining the associated co-occurrence mode of the moving target. Background technique [0002] In the information age where computers and networks are widely used, people have become accustomed to interacting with computing devices naturally in any time and space environment, and computing devices with location-aware functions are in operation all the time, recording moving objects such as people and vehicles. behavior trajectory. With the rapid development and wide application of information collection equipment such as satellite communications and infinite sensors, the trajectory data and behavior information of moving targets can be recorded in a more real-time and effective manner. These moving target tracking data contain a large amount of time information, space information and behavior information, which can provide rich hi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/29
CPCG06F16/29
Inventor 谢彬张琨蔡颖朱满洲赵静麻孟越周濛张云纯
Owner NANJING UNIV OF SCI & TECH
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