The Ab Ovo Group is continuing its successful partnership at eye level in the MobilityLab of the MODAL research campus in the upcoming five-year third main phase.

“Sustainable mobility is a key issue for our society. Digital decision support systems can make a significant contribution to this. At their core are mathematical optimisation methods, which we are developing at the MODAL research campus together with innovative companies such as Ab Ovo. We are very much looking forward to continuing our collaboration,” says Prof Dr Ralf Borndörfer, Chair of the MODAL research campus. “In addition to GreenIT, which is a key technology of the 21st century and in which Ab Ovo is one of the leading companies, Ab Ovo is also involved in scientific research in the field of optimising physical resources. We make the results of this research available to companies and thus to the economy and society. The MODAL research campus is an important driver of innovative developments for us,” says Rabea Böhme, Managing Director of Ab Ovo Deutschland GmbH.

MODAL is a platform for public-private innovation partnerships established by ZIB and Freie Universität Berlin together with 30 partners from industry, including many spin-offs and small and medium-sized companies. All partners contribute staff and other assets to applied research projects. 

In MODAL’s MobilityLab Ab Ovo’s familiarity with industrial operations meets with ZIB’s expertise in the state of the art in mathematical optimization.

Employing methods from mathematical optimization, artificial intelligence, and machine learning, Ab Ovo and ZIB will design planning systems, which address complex processes in the field of logistics.

Zuse-Institute Berlin (ZIB)

The Zuse-Institute Berlin (ZIB) is an interdisciplinary research institute for applied mathematics and data-intensive high-performance computing. Its research focuses on modeling, simulation and optimization with scientific cooperation partners from academia and industry. ZIB

More About MobilityLab

The MobilityLab develops data-driven AI methods for the optimization of transportation networks. Spanning over many areas of the transportation sector, the trend to more networked systems has become visible. The more details are integrated, the more complex become data analysis, control and optimization, leading to many unresolved problems. Building upon recent topics such as e-mobility, free flight and digitalization, the MobilityLab seeks to drive innovation by formulating and investigating mathematical key problems. These are the basis for realistic models and efficient algorithms, which evolve from the identification, analysis and exploitation of specific problem structures. Since many structures are similar in the world of transportation, results ideally carry over to several applications, and as well to other types of network problems outside transportation. MobilityLab