Journal of System Simulation
Abstract
Abstract: The ex-post disposition of a major incident, which is expected to transform into prediction and precaution of abnormal behavior, is increasingly unable to meet the urgent needs of the society.Therapid development and popularization of sensor network and positioning technology lay the foundation for mining spatial-temporal trajectory data. With the key objective of prediction and precaution of abnormal trajectory based on big data mining, the future research directions and prospects on trajectory clustering and recognitionareanalyzed, discussed and elaboratedinthis paper.Temporal trajectory prediction applied in prediction and precaution of abnormal spatial-temporal trajectory is also presented, providing a reference for further research on this field.
Recommended Citation
Qiu, Gongda; Ming, He; Jie, Yang; Cao, Yuting; and Sun, Jihong
(2020)
"Key Technologies of Precaution and Prediction of Abnormal Spatial-Temporal Trajectory: A Review of Recent Advances,"
Journal of System Simulation: Vol. 29:
Iss.
11, Article 2.
DOI: 10.16182/j.issn1004731x.joss.201711002
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/2
First Page
2608
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201711002
Last Page
2617
CLC
TP311
Recommended Citation
Qiu Gongda, He Ming, Yang Jie, Cao Yuting, Sun Jihong. Key Technologies of Precaution and Prediction of Abnormal Spatial-Temporal Trajectory: A Review of Recent Advances[J]. Journal of System Simulation, 2017, 29(11): 2608-2617.
DOI
10.16182/j.issn1004731x.joss.201711002
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