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Table 1 Existing taxi clustering techniques

From: Detecting taxi movements using Random Swap clustering and sequential pattern mining

Studies Clustering algorithm Features
Takimoto et al. [7] SimDBSCAN Clustered semantic trajectory
Qi and Liu [9] R-FDBSCAN Clustered pickup points with tuning the clusters size
Liu et al. [11] DPC Clustered pickup points with image analysis
Saptawati [12] DBSCAN Clustered grids of spatial data
Linjiang et al. [13] GRIDBSCAN Clustered grids of spatiotemporal data
Naji et al. [14] K-means DBSCAN Clustered drivers’ profiles, then clustered driving patterns