Continuous range queries over multi-attribute trajectories
- 所属单位：计算机科学与技术学院/人工智能学院/软件学院
- 发表刊物：Proc Int Conf Data Eng
- 摘要：A multi-attribute trajectory consists of a sequence of time-stamped locations and a set of attributes that characterize diverse aspects of the corresponding moving object. In this paper, we study continuous range queries over multi-attribute trajectories. Such a query returns the objects whose attributes contain expected values and whose locations are always within a distance threshold to the query trajectory during the entire overlapping time period. To efficiently answer the query, an optimal method of partitioning the trajectories is proposed and an index structure is developed to support the combined search of spatio-temporal parameters and attribute values. We provide a general solution that is able to process multi-attribute trajectories as well as traditional trajectories without attributes. We carry out comprehensive experiments in a prototype database system to evaluate the efficiency and scalability of our designs. The experimental results show that our approach outperforms five alternative approaches by a factor of 5-50x on large datasets. © 2019 IEEE.
- ISSN号：1084-4627
- 是否译文：否
- 合写作者：Bao, Zhifeng,Lu, Hua
- 通讯作者：许建秋
- 发表时间：2019-04-01