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A Trajectory Partition Method Based on Combined Movement Features
Joint Authors
Liu, Linfeng
Wu, Jiagao
Tang, Ji
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Trajectory data mining has become an increasing concern in the location-based applications, and the trajectory partition is taken as the primary procedure of trajectory data mining.
The amount of movement trajectories of nodes is typically very large, and the trajectory shapes are extremely diverse, which makes the trajectory partition a vital issue to the trajectory data mining results.
In this work, the movement behaviors of nodes are analyzed from the aspects of moving speeds, stop points, and moving directions, and then a novel Trajectory Partition Method based on combined movement Features (TPMF) is proposed to partition the trajectories.
In TPMF, we first extract the change points where the movement speeds of nodes are varied significantly; then, we extract the stop points by detecting the speed variations of nodes; finally, the Douglas-Peucker algorithm is applied to partition the subtrajectories according to the extracted feature points (change points and stop points).
Simulations are carried out on the Geolife trajectory dataset, and the simulation results indicate that TPMF can achieve a preferable trade-off between the simplification rate and the trajectory partition error, while the running time is shortened as well.
American Psychological Association (APA)
Tang, Ji& Liu, Linfeng& Wu, Jiagao. 2019. A Trajectory Partition Method Based on Combined Movement Features. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1212265
Modern Language Association (MLA)
Tang, Ji…[et al.]. A Trajectory Partition Method Based on Combined Movement Features. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1212265
American Medical Association (AMA)
Tang, Ji& Liu, Linfeng& Wu, Jiagao. A Trajectory Partition Method Based on Combined Movement Features. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1212265
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212265