Due to the vast amount of available tracking sensors in recent years, high-frequency and
high-volume streams of data are generated every day. The maritime domain is no different …

To model and forecast flight delays accurately, it is crucial to harness various vehicle
trajectory and contextual sensor data on airport tarmac areas. These heterogeneous sensor …

Complex event recognition (CER) systems have become popular in the past two decades
due to their ability to “instantly” detect patterns on real-time streams of events. However …

An ever-increasing number of applications in critical domains, such as maritime and
aviation, generate, collect, manage and process spatio-temporal data related to the mobility …

In this paper, we present an architecture for mobility data spaces enabling trustworthy and
reliable data operations along with its main constituent parts. The architecture makes use of …

Transforming disparate and heterogeneous data sources that provide large volumes of data
in high velocity into a common form allows integrated and enriched views on data and thus …

We present a big data framework for the prediction of streaming trajectory data, enriched
from other data sources and exploiting mined patterns of trajectories, allowing accurate long …