Mobility and Logistics

  • Data analysis and application of artificial intelligence and machine learning methods in the mobility and logistics sector
  • Information processing, modeling and visualization of logistics processes
  • ML based optimization in planning processes
  • Human-technology interaction for new mobility services

The research group Mobility and Logistics is dedicated to the potentials and effects of digitization and automation in all transport levels. Our focus areas are on logistics 4.0, multimodal and synchromodal freight transport, urban mobility concepts and platforms as well as intelligent transport systems.

The current research and development projects address on the one hand the finding of new knowledge through data analysis and applying artificial intelligence methods in mobility and logistics environments, and on the other hand acute challenges around the design of new urban mobility and logistics concepts. In our interdisciplinary team, we combine skills and knowledge from the engineering, computer science and natural sciences. In this way, our approach combines methods from the areas of data analysis, machine learning, visual analytics and empirical research.

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The Team

  • Alexia Fenollar Solvay
  • Marco Kemmerling
  • Johannes Lipp
  • Thomas Otte
  • Andres Posada


Examining the challenges and impacts of the city using the Aachen North and Campus West as examples
2016 – 2019
Foto Bahngleise Af
Development of data-based applications in the field of data science and artificial intelligence to optimise and support the disposition of rail vehicles.
2018 – 2021
Indiluv Konzept
Development of a stable overall concept for automated, individual and needs-based passenger aircraft between urban agglomerations
2017 – 2018
ContactAlexia Fenollar Solvay, Ing. IndustrialForschungsgruppenleiterin
D 2.06
+49 241 80 91141

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