MOBILITY INFOMATICS LAB

By combining digital twins with AI-driven knowledge discovery, we aim to build transport systems that are smarter, greener, and more resilient... We explore how Large Language Models (LLMs) and Knowledge Graphs (KGs) can advance transport research and planning. Our work focuses on scientific discovery, causal reasoning, and adaptive planning under deep uncertainties, enabling new ways to understand mobility behavior and design policy interventions... We integrate data, AI, digital twins, and system modeling to create smarter, greener, and more resilient transport.

Primary location: Stockholm Sweden