Trajectory Data Compression Algorithm Based on Motion State Changing

The trajectory information generated by the moving object plays an important role in studying the object movement. In this paper, a trajectory data compression algorithm based on the motion state changing is proposed to reduce trajectory data storage space and increase compression speed, which can a...

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Bibliographic Details
Published in:Mathematical problems in engineering Vol. 2021; pp. 1 - 8
Main Authors: Zhang, Shuo, Zhang, Jian, Qi, Lin
Format: Journal Article
Language:English
Published: New York Hindawi 28.02.2021
John Wiley & Sons, Inc
Subjects:
Algorithms
Approximation
Data compression
Data points
Data storage
Engineering
Global positioning systems
GPS
Object motion
Traffic information
Traffic planning
Trajectories
Trends
Velocity
ISSN:1024-123X, 1563-5147
Online Access:Get full text
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Summary:The trajectory information generated by the moving object plays an important role in studying the object movement. In this paper, a trajectory data compression algorithm based on the motion state changing is proposed to reduce trajectory data storage space and increase compression speed, which can accurately show the motion state and trajectory characteristics. This study has certain significance for the exploration of mass traffic data and the planning of traffic network. Combining the angle threshold with the velocity threshold of a moving object, the key data points are found and the redundant information is removed. Subsequently, the compressed trajectory is obtained. The experimental results show that the new algorithm can help to improve compression efficiency. The compressed trajectory has high similarity with the original trajectory in movement tendency.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1024-123X
1563-5147
DOI:10.1155/2021/6647074