Measuring system for similarity between different tracks and measuring method for measuring system

A measurement system and similarity technology, applied in the field of similarity measurement system between different trajectories, to achieve the effect of high efficiency and high reliability

Active Publication Date: 2017-07-18
HOHAI UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no user-oriented pure trajectory similarity measurement system, and th...

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  • Measuring system for similarity between different tracks and measuring method for measuring system
  • Measuring system for similarity between different tracks and measuring method for measuring system

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Embodiment Construction

[0023] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 As shown, the trajectory similarity measurement system involved in the present invention provides users with the measurement of the similarity between different trajectories defined by latitude and longitude or longitude and latitude band time and the query function of the most similar trajectory segment, and the user only needs to submit the trajectory data in the trajectory data upload module file, you can view the calculation results of the submitted trajectory in the result visualization module, which is very convenient.

[0025] The present invention designs and realizes that the trajectory data file upload module uses the Web upload method to obtain data, and its processing mechanism is to monitor the data upload request of the Web client, establish a Socket connection between the client and the data storage server...

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Abstract

The invention discloses a measuring system for similarity between different tracks. The system comprises a track data file uploading module and a calculation result visualization module, wherein the track data file uploading module passes a data preprocessing module and obtains a most similar section construction module, and lastly, the most similar section construction module is transmitted to a user through the calculation result visualization module. A measuring method for the measuring system for similarity between the different tracks comprises the following steps of 1.uploading data; 2.judging whether a track data file is legal, if yes, carrying out preprocessing, if no, carrying out error display; 3.evaluating similarity between the tracks through a module for calculating the similarity between the tracks; 4.searching two most similar tracks through the most similar section construction module; and 5.displaying a calculation result through the calculation result visualization module. According to the system and the method, the result is more accurate, and meanwhile, the most similar sections between the tracks are constructed by utilizing a longest common subsequence method.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a similarity measurement system and a measurement method between different trajectories. Background technique [0002] Data mining is a process of extracting potential information hidden in massive historical business data through mathematical analysis models. Spatio-temporal trajectory data mining is a process of effective information mining specifically for spatio-temporal trajectory data. With the rapid development of mobile communication equipment and video surveillance equipment, trajectory data is increasing day by day, and analysis and research on moving objects are also becoming more and more important. more and more people's attention. How to effectively manage and utilize various information of mobile objects has become one of the current research hotspots. Trajectory data processing mainly includes processes such as data acquisition, data preprocessin...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/29G06F16/9537
Inventor 叶枫徐永欢吴胜艳邹由超
Owner HOHAI UNIV
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