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A comparison of road-network-constrained trajectory compression methods
Ji, Yudian1; Liu, Hao1; Liu, Xiaoying1; Ding, Ye1; Luo, Wuman2
2017-01-18
Conference Name22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016
Source PublicationProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume0
Pages256-263
Conference Date1213, 2016 - 1216, 2016
Conference PlaceWuhan, Hubei, China
Author of SourceIEEE Computer Society
AbstractThe popularity of location-acquisition devices has led to a rapid increase in the amount of trajectory data collected. The large volume of trajectory data causes the difficulties of storing and processing the data. Various trajectory compression methods are therefore proposed to deal with these problems. In this paper, we overview the existing road-network-constrained trajectory compression methods and propose a novel classification based on the features leveraged by them. We also propose new methods that fill in the research blanks indicated by the classification. We conduct a thorough comparison among the existing and new road-network-constrained trajectory compression methods. The performances of the methods are studied via various metrics on real-world dataset. We make new discoveries regarding the performances and the scalability of existing methods, and provide guidelines of road-network-constrained trajectory compression for various scenarios. © 2016 IEEE.
DOI10.1109/ICPADS.2016.0042
Language英语
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Hong Kong University of Science and Technology, Hong Kong;
2.University of Macau, China
Recommended Citation
GB/T 7714
Ji, Yudian,Liu, Hao,Liu, Xiaoying,et al. A comparison of road-network-constrained trajectory compression methods[C]//IEEE Computer Society,2017:256-263.
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