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Optimizing segmented trajectory data storage with HBase for improved spatio-temporal query efficiency
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作者 Yi Bao Zhou Huang +3 位作者 xuri gong Yuyang Zhang Ganmin Yin Han Wang 《International Journal of Digital Earth》 SCIE EI 2023年第1期1124-1143,共20页
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... 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 spatio-temporal indexing and apply it to taxi trajectory data in Beijing.Ourfindings indicate that the segmented system provides enhanced query speed and reduced memory usage compared to the Geomesa system. 展开更多
关键词 Trajectory storage HBASE trajectory segmentation spatio-temporal query
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