The increasing use of location-aware devices has led to an increasing availability of
trajectory data. As a result, researchers devoted their efforts to developing analysis methods …

Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

Spatial trajectories have been bringing the unprecedented wealth to a variety of research
communities. A spatial trajectory records the paths of a variety of moving objects, such as …

Mobile devices are becoming very popular in recent years, and large amounts of trajectory
data are generated by these devices. Trajectories left behind cars, humans, birds or other …

In this paper, we propose a new trajectory pattern mining framework, namely Clustering and
Aggregating Clues of Trajectories (CACT), for discovering trajectory routes that represent the …

The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Trajectory data play a fundamental role to an increasing number of applications, such as
transportation management, urban planning and tourism. Trajectory data are normally …

In step with the rapidly growing volumes of available moving-object trajectory data, there is
also an increasing need for techniques that enable the analysis of trajectories. Such …

The pervasiveness of mobile devices and location based services is leading to an
increasing volume of mobility data. This side eect provides the opportunity for innovative …