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 …

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 …

Understanding maritime traffic patterns is key to Maritime Situational Awareness
applications, in particular, to classify and predict activities. Facilitated by the recent build-up …

While lane-changing movements are performed on the entire motorway network for various
reasons, such as overtaking, their intensity is substantially greater near complex segments …

Location privacy-preserving mechanisms (LPPMs) have been extensively studied for
protecting a user's location at each time point or a sequence of locations with different …

Probabilistic logics combine the ability to reason about complex scenes, with a rigorous
approach to uncertainty. This paper explores the construction of probabilistic spatial logics …

Nearest neighbor (NN) queries in trajectory databases have received significant attention in
the past, due to their application in spatio-temporal data analysis. Recent work has …

The explosion in the availability of GPS-enabled devices has resulted in an abundance of
trajectory data. In reality, however, majority of these trajectories are collected at a low …

Due to the availability of large historical and real-time traffic data, car navigation systems are
becoming more and more advanced in predicting the travel time for various routes and …

Temporal annotations of facts are a key component both for building a high-accuracy
knowledge base and for answering queries over the resulting temporal knowledge base …