Optimizing segmented trajectory data storage with HBase for improved spatio-temporal query efficiency  

作　　者：Yi Bao Zhou Huang Xuri Gong Yuyang Zhang Ganmin Yin Han Wang 

机构地区：[1]Institute of Remote Sensing and Geographical Information Systems,Peking University,Beiing,People's Republic of China [2]Beijing Key Lab of Spatial Information Integration&Its Applications,Peking University,Bejjing,People's Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期1124-1143,共20页国际数字地球学报（英文）

基　　金：support from the National Natural Science Foundation of China(42271471,42201454,41830645);the International Research Center of Big Data for Sustainable Development Goals(CBAS2022GSP06).

摘　　要：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.

关 键 词：Trajectory storage HBASE trajectory segmentation spatio-temporal query 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]