Track compression error evaluation method based on time synchronization speed

Abstract

The invention relates to a trajectory compression error evaluation method based on time synchronization speed, and belongs to the technical field of spatio-temporal data processing. The method comprises the following steps: firstly, reading data of a whole track, and respectively calculating speeds in longitude and latitude directions according to space-time positions of the track; compressing the track through various compression algorithms; and based on a speed linear change hypothesis, calculating an error between the time synchronization speed of each track point and the actual speed, and then calculating an average value to obtain a time synchronization speed error of the compressed track. According to the method, modeling is carried out on the speed error of the compressed track based on the speed linear change hypothesis, an SVE model is designed to evaluate the speed error of the compressed track compared with an original track, and the blank of lack of a speed error evaluation method in the current industry is filled. In addition, the evaluation method provided by the invention also has the advantages of small error influence, uniform change along with the compression ratio, strong performance and wider application.

Description

Technical field: [0001] The present invention relates to the technical field of time and air data processing, and more particularly to a trajectory compression error assessment method based on a time synchronous speed. Background technique: [0002] With the rapid development of positioning technology, the positioning equipment is increasingly popular and portable, and people use positioning equipment to obtain a lot of trajectory data in various types of mobile objects such as vehicles, people, animals, etc.. The trajectory data contains rich and valuable information, and has a wide range of application prospects in the field of behavioral analysis, regional analysis, urban functions and calculations. These huge GPS trajectory data typically contain a large amount of redundancy, bringing huge challenges to trajectory data mining, such as data storage, data query, analysis, data transmission, etc. In order to solve the above problems, the researchers have proposed a large number ...

AI Technical Summary

Problems solved by technology

Liu proposed a continuous error measurement method for the closed area (EA). By calculating the area of ​​the closed area between the original trajectory and the compressed trajectory line segment as the error standard, the calculation result is more accurate than the previous discretized calculation method. , but the calculation efficiency is not high, so the application is less

[0004] However, the above trajectory compression error evaluation ignores the velocity information

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