Fraunhofer Institute for Open Communication Systems
Fraunhofer Institute for Open Communication Systems
Abbild einer Stadtlandschaft mit digitalem Spiegelbild auf orangenen Untergrund mit graphischen Elementen wie Wellenlinien aus Punkten oder hellblauen Kreisen
© Fraunhofer FOKUS

© Fraunhofer FOKUS

Supporting decision-making through simulation and data analysis

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Simulation and data analysis are key tools for the digital transformation of business, administration, and society. They enable the modeling of complex systems, the structured analysis of large amounts of data, and the development of intelligent, data-driven solutions. Fraunhofer FOKUS uses modern technologies such as agent-based modeling, machine learning, and AI-supported data processing to make complex relationships visible, transparent, and manageable.

The following technologies and expertise constitute key building blocks used in our application areas throughout the design, development, integration, and operation phases.

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Technologies and Expertise for Research-Based Consulting and Development

(Co-)Simulation for Complex Systems

Simulation environments realistically model complex scenarios. Co-simulation links submodels, for example, to reliably evaluate traffic conditions, connected mobility, and teleoperated driving.

  • Development & integration of co-simulation platforms (e.g., Eclipse MOSAIC)
  • Validation of traffic state estimation (TSE)
  • Simulation of remote-operated driving (ROD) with sensor fusion and 5G
  • Real-time simulation chains for automated driving

Digital Twins & Urban Data Spaces

Digital twins integrate real-time and infrastructure data for analysis, simulation, and decision support. Visualizations and scenarios support the planning, operation, and optimization of urban systems.

  • Urban Digital Twins for Transportation, Buildings, and Infrastructure
  • AI-based analysis, forecasting, and scenario simulation of critical events
  • Coupled simulation for cascading damage and crisis scenarios
  • Web-based 3D visualization and urban data spaces

Digital Twins & Networked Systems

Digital twins model communication and data infrastructures and enable the validation of AI-supported decisions in networked systems.

  • Digital twins for terrestrial and non-terrestrial communication networks
  • Evaluation of AI-based decisions in coupled systems
  • Integration of real and simulated data in the road and infrastructure sector
  • Cross-method applicability for analysis, simulation, and validation

Simulation & Risk Analysis for Critical Infrastructure

Event simulations and security tests reveal risks in complex ICT systems. Quantitative assessments support the management, prioritization, and safeguarding of critical processes. 

  • Compositional Risk Assessment with Risk Graphs
  • Integration of Security Testing into Event Simulations
  • Monte Carlo simulations for probability-of-occurrence analysis
  • Support for business risk analyses and management dashboards

Data-Driven Decision Support

Scalable data architectures, models, and visual analytics approaches make causal relationships transparent and enable comparison of courses of action.

  • Design and development of data-driven analysis and decision-making platforms
  • Data integration, processing, and analysis of heterogeneous data sources
  • Model-based impact, scenario, and monitoring analyses
  • Visual analytics, dashboards, and interactive decision support

Our Experts

Ilja Radusch

Contact Press / Media

Dr.-Ing. Ilja Radusch

Director Business Unit Smart Mobility

Expert in Digital Twins, AI Perception, Smart Mobility, and Indoor Navigation

Phone +49 30 3463-7474

Adrian Paschke

Contact Press / Media

Prof. Dr. rer. nat. Adrian Paschke

Head of Data Analytics and AI

Expert in Federated Learning, explainable & secure AI, Quantum Machine Learning

Phone +49 30 3463-7228

Background Knowledge

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  • Simulation is a model-based reproduction of real-world processes or systems for analysis, forecasting, or decision support.

  • Data analysis refers to the systematic evaluation of structured and unstructured data to gain insights and optimize processes.

  • Sensor data fusion combines data from various sensor sources to increase the accuracy and robustness of analyses.

  • Open data is data that can be freely used and shared, public data comes from public sources and is generally accessible. Smart data is contextually processed data with high analytical value.

  • AI-based simulation integrates artificial intelligence into simulation processes to automatically recognize patterns and support forecasts and decisions.

  • Agent-based simulation uses computers to model many individual, autonomous units (known as agents) that interact with one another and with their environment.

  • A digital twin is a virtual representation of a real-world system for real-time simulation and analysis.