A Cloud-based Trajectory Data Management System
Ruiyuan Li; Sijie Ruan; Jie Bao; Yu Zheng
2017
会议日期2017
会议地点California, USA
英文摘要With the rapid development of location-acquisition techniques, massive trajectories are continuously generated. Many urban applications rely heavily on the data mining/analysis results of massive trajectory data. This demo presents a holistic data management system for both historical and real-time trajectory records based on a cloud platform, such as Microsoft Azure. The proposed system is able to efficiently support a variety of trajectory queries, including ID-Temporal query, Spatio-Temporal query, and Path-Temporal query. With these queries, we demonstrate that different urban applications can be realized in a much easier way.
语种英语
内容类型会议论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/12661]  
专题深圳先进技术研究院_数字所
作者单位2017
推荐引用方式
GB/T 7714
Ruiyuan Li,Sijie Ruan,Jie Bao,et al. A Cloud-based Trajectory Data Management System[C]. 见:. California, USA. 2017.
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