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Massively Parallel Discovery of Loosely Moving Congestion Patterns from Trajectory Data
2021
ISPRS International Journal of Geo-Information
The efficient discovery of significant group patterns from large-scale spatiotemporal trajectory data is a primary challenge, particularly in the context of urban traffic management. Existing studies on group pattern discovery mainly focus on the spatial gathering and moving continuity of vehicles or animals; these studies either set too many limitations in the shape of the cluster and time continuity or only focus on the characteristic of the gathering. Meanwhile, little attention has been
doi:10.3390/ijgi10110787
fatcat:tjcmzjcnu5entauygxgx5v5ypy