Unlocking the full potential of trajectory data with MUSIT
The rapid proliferation of tracking sensors—ranging from vessel and vehicle tracking systems to smartwatches, cameras, and Earth observation sensors—has led to an unprecedented influx of high-frequency, high-volume data. Yet, despite this abundance, many trajectories remain incomplete, contain errors, or are entirely missing. A vast reservoir of tracking data remains unexplored or underutilized, holding valuable insights that could enhance monitoring and decision-making.
The MUlti-Sensor Inferred Trajectories (MUSIT) project is dedicated to unlocking this potential by integrating and refining data from heterogeneous sources. Through advanced AI algorithms and spatio-temporal methodologies, MUSIT reconstructs and enhances trajectories, filling in gaps and minimizing errors to provide a more accurate and insightful picture of moving objects’ behavior.
By fusing multi-sensor data, MUSIT not only improves trajectory accuracy but also enriches it with semantic information, adding context and meaning to movement patterns. The project explores cross-domain representation models within the ICT sector, pushing the boundaries of what is possible in trajectory analysis. As a result, datasets previously considered incomplete or unusable will become valuable assets for applications such as vessel monitoring and urban mobility.
MUSIT’s approach is structured around three key pillars:
- Data collection and creation – Gathering and integrating data from diverse tracking sources.
- Cross-domain representation models – Leveraging ICT methodologies to enhance trajectory analysis.
- Advanced processing and analysis – Extracting meaningful insights for improved surveillance and mobility solutions.
Through these innovations, MUSIT aims to bridge the gaps in trajectory data, turning fragmented information into a powerful tool for research, monitoring, and decision-making.
The MUSIT project is an interdisciplinary, international, and intersectoral initiative that brings together diverse and complementary expertise, essential for research and training.
The project partners have extensive experience in their respective fields and actively collaborate to create a strong and lasting network. MUSIT’s goal is to foster dialogue and knowledge exchange between:
- the MUSIT consortium partners, and
- academic and non-academic entities interested in understanding and applying the project’s results.
These connections are strengthened through mobility programs, networking activities, and outreach initiatives, which are also open to participants outside the consortium. MUSIT thus aims to build an innovative and dynamic community capable of turning research into tangible value for the future.