At the Institute for Intermodal Transport and Logistics Systems (ITL), we develop methods and technologies for the model-based, AI-supported planning, control, and automation of mobility and logistics systems. Our goal is to translate sound theoretical concepts into practical, validated solutions.
In collaboration with industry, public authorities, and research partners, we create digital tools and control concepts for interconnected transport and freight flows — from simulation to real-world application.
Our research focus includes:
AI-based control and coordination strategies
Software- and Hardware-in-the-Loop methods for development and validation
Inclusive and resilient mobility and logistics systems
Digitalization and automation of intermodal transport chains