Mobility services are increasingly supported by data-driven approaches that help understand mobility needs, test alternative solutions, and improve planning and day-to-day operations.
This webinar brings together the GEMINI and SPINE projects, alongside representatives from the Munich and Valladolid Living Labs, to illustrate how Digital Twins, Simulations and AI can turn mobility data into actionable insights and contribute to more effective mobility services.
- Valladolid – Bike Sharing: Using AI and data-driven modelling to forecast demand and support more efficient bike-sharing operations.
- Munich – Park & Ride: Using Digital Twins and simulation to assess Park & Ride solutions
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