ReMuNet is pleased to announce the establishment of a new synergy with the EU-funded project D-NAVIO, marking an important step towards more resilient, digital, and sustainable transport systems across Europe.
While ReMuNet and D-NAVIO operate in different transport domains, multimodal freight networks and maritime transport respectively, both projects share a strong commitment to resilience, digitalisation, and real-time decision support in complex transport environments. By aligning their approaches and exchanging insights, the two initiatives aim to reinforce each other’s impact and contribute to a more robust European transport ecosystem.
At the core of both projects lies the challenge of managing complex, interconnected systems under disruptive conditions.
ReMuNet focuses on identifying and signalling disruptive events across multimodal freight corridors and responding to them in real time. By combining standardised network descriptions, dynamic alternative route planning, and collaborative digital platforms, ReMuNet enables freight operators to adapt quickly, minimise disruption impacts, and reduce emissions through synchro-modal relay transport across road, rail, and inland waterways.
Similarly, D-NAVIO addresses resilience at the level of individual vessels by developing Intelligent Digital Twins for large, complex ships. Through explainable AI, self-healing technologies, and advanced risk assessment tools, D-NAVIO enables continuous monitoring, fault prediction, and proactive failure management, enhancing safety, reliability, and environmental performance in maritime transport.
Despite operating at different scales, both projects share a common objective: anticipating disruptions, assessing their impact, and supporting informed, timely decision-making.
A key point of convergence between ReMuNet and D-NAVIO is the use of advanced digital models and real-time data to support adaptive responses in transport systems. ReMuNet’s work on reinforcement learning and dynamic multimodal route orchestration mirrors D-NAVIO’s system-of-systems approach, where intelligent digital twins continuously learn from operational data and past failures. Both projects move beyond static planning tools, embracing self-learning, adaptive systems capable of evolving as conditions change.
This alignment opens opportunities to exchange methodologies on:
- Real-time monitoring and event detection
- Predictive analytics and AI-based decision support
- Managing uncertainty and cascading effects in transport systems
- Integrating sustainability and resilience objectives into operational choices
As both projects progress, this collaboration will help ensure that advances made at different layers of the transport system contribute to a shared, coherent vision for the future of mobility and logistics in Europe.
Funded by the European Union under GA number 101104072. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them.