Webinar
Validate autonomous mobility concepts before you invest
Discover how the Mobility Impact Analyzer (MIA) helps you assess the potential of autonomous mobility and build an evidence-based business case.
English
What's it about?
The Mobility Impact Analyzer (MIA) is MOIA's self-service simulation tool for evaluating autonomous and on-demand mobility concepts before implementation. During this live webinar, our Mobility Consulting team will guide you through the platform step by step, using Berlin as an example city to demonstrate how MIA supports evidence-based mobility planning. Together with AMAG, a leading Swiss automotive retailer and mobility provider, we'll share insights from real-world mobility projects across Switzerland.
Can't join us live? Register anyway—we'll send the recording to all registered participants.
What you'll learn
Discover how to run a MIA simulation, understand which use cases are best suited for MIA self-service and when a MOIA-led consulting project adds value. You will also see how AMAG collaborates with public and private partners to apply simulations in practice.
Who should join?
This webinar is designed for public transport operators and authorities, private mobility operators, transport planners, innovation teams, consultancies, and anyone evaluating autonomous or on-demand mobility services.
Meet your speakers
Sascha Meyer is CEO of MOIA, the Volkswagen Group's technology company for autonomous mobility. MOIA provides a turnkey end-to-end solution for autonomous mobility, laying the foundation for an efficient, comfortable and safe mobility of the future.
Tom-Erik Kuhlen is a Senior Transport Modelling Specialist at MOIA, where he leads consulting projects and manages the MIA Platform. He specializes in modeling and planning autonomous ridepooling systems, helping cities and operators evaluate and launch new mobility services.
Selina Schmid is Lead Innovation Scouting at the AMAG Innovation & Venture LAB. She develops and evaluates innovative mobility concepts, with a focus on automated ridepooling, and leads AMAG's work on the Lucerne feasibility study in close collaboration with MOIA.