Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Forecasting vessel locations is of major importance in the maritime domain, with
applications in safety, logistics, etc. Nowadays, vessel tracking has become possible largely …

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 …

Vessel trajectory prediction is an important step in route planning, which could help improve
the efficiency of maritime transportation. In this article, a high-accuracy long-term trajectory …

Predictive analytics over mobility data is of great importance since it can assist an analyst to
predict events, such as collisions, encounters, traffic jams, etc. A typical example is …

The goal of mobility data analytics is to extract valuable knowledge out of a plethora of data
sources that produce immense volumes of data. Focusing on the maritime domain, this …

Predictive analytics over mobility data are of great importance since they can assist an
analyst to predict events, such as collisions, encounters, traffic jams, etc. A typical example …

Digital twins are computational models that replicate the structure, behaviour and overall
characteristics of a physical asset in the digital world. In the maritime domain, conventional …

Public transport (PT) systems are essential to human mobility. PT investments continue to
grow, in order to improve PT services. Accurate PT arrival time prediction (PT-ATP) is vital for …

This chapter presents modern approaches and frameworks for predicting trajectories with
detailed descriptions of three main research pillars. The first pillar is the problem formulation …