22 Nov 2024
Publications

This paper addresses short-term Collision-Risk-Aware ship route planning while utilizing a deep learning-based Vessel Collision Risk Assessment and Forecasting (VCRA/F) framework to quantify risks.

19 Nov 2024
Publications

Federated Learning for Mobility Applications.  MobiSpaces mentioned in acknowledgements. Relevant work for mobility AI & data spaces

25 Oct 2024
Publications

The rapidly evolving field of mobility data spaces, integral to the contemporary technological landscape, creates unique challenges and opportunities in the context of legal compliance.

24 Jun 2024
Publications

This paper introduces M3fed, a novel solution for federated learning of movement anomaly detection models. This innovation has the potential to improve data privacy and reduce communication costs in machine learning for movement anomaly detection.

19 Jun 2024
Publications

"Developments in Mobilty Data Science", including recent developments in MobiSpaces

30 May 2024
Publications

In recent years, the maritime domain has experienced tremendous growth due to the exploitation of big traffic data. Particular emphasis has been placed on deep learning methodologies for decision-making.

28 May 2024
Publications

Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so has the popularity of deep learning from trajectory data.

26 May 2024
Publications

Effective data governance and management are necessary but challenging prerequisites for creating value from data assets. Findability, accessibility, interoperability, and reusability are guiding principles for data owners in managing and archiving datasets, known as the FAIR Principles.

18 May 2024
Publications

Outlier detection and cleaning are essential steps in data preprocessing to ensure the integrity and validity of data analyses. This paper focuses on outlier points within individual trajectories, i.e., points that deviate significantly inside a single trajectory.

07 May 2024
Publications

Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously.

25 Mar 2024
Publications

The increasing prevalence of mobility data in diverse applications such as traffic management requires specialized tools for manipulating it. This paper introduces MEOS (Mobility Engine Open Source), a versatile C library designed explicitly for managing and processing mobility data.

01 Feb 2024
Publications

Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so has the popularity of deep learning from trajectory data.