Reduced Order Modelling, Simulation and Optimization of Coupled systems

Third Party Funds Group - Sub project

Overall project details

Overall project: Reduced Order Modelling, Simulation and Optimization of Coupled systems


Project Details

Project leader:
Prof. Dr. Alexander Martin
Dr. Andreas Bärmann


Contributing FAU Organisations:
Economics - Discrete Optimization - Mathematics (EDOM)

Funding source: EU - 8. Rahmenprogramm - Horizon 2020
Acronym: ROMSOC
Start date: 01/09/2017
End date: 31/08/2021


Short description (intelligible to all):

Transportation networks have an increasing share of border-crossing services. The conditions to implement such services are often different in neighbouring countries. For resource planning, this may make it necessary to change between resources at the border. In the case of railway networks, for example, this might apply to different electricity systems, which require a change of locomotive, different track gauges, which require suitable wagons, or labour agreements as well as different technical skills, which might require staff changes. The challenge in this project is to provide decision makers with suggestions on how to find optimal resource allocation to deal with these differing regulations in the best possible way.

From the mathematical side, the topic of this project is mixed-integer optimization models for an optimal resource allocation and investment for border-crossing transport services. This will require the consideration of a hierarchy of optimization models with respect to the planning horizon (strategic, tactical or operational view), and with respect to time and space resolution. This enables the development of solution algorithms based on adaptive refinement or suitable decomposition approaches. Data uncertainties, for example in demand forecasts or in the form of delays, might require robust or stochastic model extensions.


External Partners

Technische Universität Berlin
MathConsult GmbH
Johannes Kepler Universität (JKU) Linz
Microgate Srl
Instituto Tecnológico de Matemática Industrial
Institut national de Recherche en Informatique et en Automatique (INRIA)
Universität Bremen
Bergische Universität Wuppertal
STMicroelectronics N.V.
Politecnico di Milano
Scuola Internazionale Superiore di Studi Avanzati
Forschungsverbund Berlin e.V.

Last updated on 2018-17-08 at 11:23