AI-aided decision tool for seamless multimodal network and traffic management

In today’s increasingly congested urban landscapes, efficient transportation has become a pressing challenge. Traffic gridlock, safety concerns, and environmental issues all demand innovative solutions. In this context, the ACUMEN project proposes a cutting-edge, privacy-preserving, data-driven digital paradigm aimed at streamlining network management. Its goal? To enable seamless door-to-door journeys, enhance network-level safety and resilience, and contribute significantly to the transport objectives outlined in the Green Deal. At the heart of ACUMEN lies the concept of a modular, multi-layered digital twin. This high-fidelity representation of complex real-world systems creates a digitised version of sustainable, connected urban mobility. Complemented by plug-in modules or digital tools, ACUMEN harnesses the power of AI to support mobility management and decision-making.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101103808.