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Optimizing segmented trajectory data storage with HBase for improved spatio-temporal query efficiency by Yi Bao; Zhou Huang; Xuri Gong; Yuyang Zhang; Ganmin Yin; Han Wang is a Environmental Science article available to read on EtoBox.

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The surging accumulation of trajectory data has yielded invaluable insights into urban systems, but it has also presented challenges for data storage and management systems. In response, specialized storage systems based on non-relational databases have been developed to support large data quantities in distributed approaches. However, these systems often utilize storage by point or storage by trajectory methods, both of which have drawbacks. In this study, we evaluate the effectiveness of segmented trajectory data storage with HBase optimizations for spatio-temporal queries. We develop a prototype system that includes trajectory segmentation, serialization, and spatiotemporal indexing and apply it to taxi trajectory data in Beijing. Our findings indicate that the segmented system provides enhanced query speed and reduced memory usage compared to the Geomesa system.

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Author

Yi Bao; Zhou Huang; Xuri Gong; Yuyang Zhang; Ganmin Yin; Han Wang

Publisher

Informa UK Limited

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)