Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

This paper comprehensively surveys the development of trajectory clustering. Considering
the critical role of trajectory data mining in modern intelligent systems for surveillance …

With the large-scale adoption of GPS equipped mobile sensing devices, positional data
generated by moving objects (eg, vehicles, people, animals) are being easily collected …

GPS devices allow recording the movement track of the moving object they are attached to.
This data typically consists of a stream of spatio-temporal (x, y, t) points. For application …

The identification of activity locations in continuous GPS trajectories is an essential
preliminary step in obtaining person trip data and for activity-based transportation demand …

This article describes a novel approach for finding similar trajectories, using trajectory
segmentation based on movement parameters (MPs) such as speed, acceleration, or …

With the increasing use of mobile GPS (global positioning system) devices, a large volume
of trajectory data on users can be produced. In most existing work, trajectories are usually …

Most existing approaches aiming at measuring trajectory similarity are focused on two‐
dimensional sequences of points, called raw trajectories. However, recent proposals have …

This article comprehensively surveys the development of trajectory data classification.
Considering the critical role of trajectory data classification in modern intelligent systems for …

The widespread use of mobile devices is producing a huge amount of trajectory data,
making the discovery of movement patterns possible, which are crucial for understanding …