Matching similar pairs of trajectories, called trajectory similarity join, is a fundamental
functionality in spatial data management. We consider the problem of semantic trajectory …

With the continued increasing availability of spatio-temporal data from GPS-equipped
devices, online map services, and a variety of location-based social media, trajectory …

Similar trajectory search is a fundamental problem and has been well studied over the past
two decades. However, the similar subtrajectory search (SimSub) problem, aiming to return …

Subtrajectory query has been a fundamental operator in mobility data management and
useful in the applications of trajectory clustering, co-movement pattern mining and contact …

Trajectory clustering is an important operation of knowledge discovery from mobility data.
Especially nowadays, the need for performing advanced analytic operations over massively …

The i4sea research project provides effective and efficient big data integration, processing,
and analysis technologies to deliver both real-time and historical operational snapshots of …

In the current era of big spatial data, the vast amount of produced mobility data (by sensors,
GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to …

With the proliferation of commercial tracking systems, sports data is being generated at an
unprecedented speed and the interest in sports play retrieval has grown dramatically as …

Sub-trajectory clustering is a fundamental problem in many trajectory applications. Existing
approaches usually divide the clustering procedure into two phases: segmenting trajectories …

The smart city system, which is a type of enterprise management system (EMS),
automatically manages cities and schedules resources efficiently based on spatial data …