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 …

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 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 …

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 …

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

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 …

Massive trajectory data is being generated by GPS-equipped devices, such as cars and
mobile phones, which is used increasingly in transportation, location-based services, and …

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 …

Trajectory classification, ie, model construction for predicting the class labels of moving
objects based on their trajectories and other features, has many important, real-world …

Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …