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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