Continuous Range Queries Over Multi-attribute Trajectories

Jianqiu Xu, Zhifeng Bao, Hua Lu

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Abstract

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.
OriginalsprogEngelsk
Titel35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019
Antal sider4
UdgivelsesstedNew York
ForlagIEEE
Publikationsdato2019
Sider1610-1613
ISBN (Trykt)9781538674758
ISBN (Elektronisk)9781538674741
DOI
StatusUdgivet - 2019
Udgivet eksterntJa
Begivenhed35th International Conference on Data Engineering (ICDE) - Macau, Kina
Varighed: 8 apr. 201911 apr. 2019
Konferencens nummer: 35
https://www.computer.org/csdl/proceedings/icde/2019/1aDSOMTGCIw

Konference

Konference35th International Conference on Data Engineering (ICDE)
Nummer35
LandKina
ByMacau
Periode08/04/201911/04/2019
Internetadresse
NavnProceedings of the International Conference on Data Engineering
ISSN1063-6382

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