The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …

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 …

The last decade has witnessed the prevalence of sensor and GPS technologies that
produce a sheer volume of trajectory data representing the motion history of moving objects …

Quantifying the similarity between two trajectories is a fundamental operation in analysis of
spatio-temporal databases. While a number of distance functions exist, the recent shift in the …

Storing, querying, and analyzing trajectories is becoming increasingly important, as the
availability and volumes of trajectory data increases. One important class of trajectory …

Trajectory analytics can benefit many real-world applications, eg, frequent trajectory based
navigation systems, road planning, car pooling, and transportation optimizations. Existing …

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 …

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 …

The increasing availability of vehicular trajectory data is at the core of smart mobility
solutions. Such data offer us unprecedented information for the development of trajectory …