Moritz Gütlein, M. Sc.
After finishing school in 2010 Moritz Gütlein decided to study math and computer sience for the teaching profession at FAU Erlangen-Nürnberg. In 2015 he successfully finished these studies and continued to study computer science untill receiving his master’s degree in 2017. During this time he worked among others in the field of indoor-positioning at Fraunhofer IIS in Nuremberg. Since then he works as a research assistant for the Chair of Computer Science 7.
Sharing of Energy Among Cooperative Households Using Distributed Multi-Agent Reinforcement Learning
2019 IEEE Innovative Smart Grid Technologies Europe (Bucharest, 2019-09-29 - 2019-10-02)
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Coupled Traffic Simulation by Detached Translation Federates: An HLA-Based Approach
2019 Winter Simulation Conference (WSC) (National Harbor, MD, USA, 2019-12-08 - 2019-12-11)
In: Proceedings of the 2019 Winter Simulation Conference (WSC) 2019
Performance Gains in V2X Experiments Using Distributed Simulation in the Veins Framework
2019 IEEE/ACM 23nd International Symposium on Distributed
Simulation and Real Time Applications (DS-RT) (Cosenza, 2019-10-07 - 2019-10-09)
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Towards a Hybrid Co-Simulation Framework: HLA-Based Coupling of MATSim and SUMO
2018 IEEE/ACM 22nd International Symposium on Distributed
Simulation and Real Time Applications (DS-RT) (Madrid, 2018-10-15 - 2018-10-17)
In: Eva Besada, Óscar Rodríguez Polo, Robson De Grande, José Luis Risco (ed.): Proceedings of the 2018 IEEE/ACM 22st International Symposium on Distributed Simulation and Real Time Applications (DS-RT) 2018
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Simulator coupling and data enrichment
(Third Party Funds Group – Sub project)Overall project: Virtuelle Mobilitätswelt
Term: 2018-10-01 - 2021-09-30
Funding source: Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie (StMWIVT) (ab 10/2013)The increasing networking and digitalization in the mobility industry leads to ever more complex systems and large amounts of data. This offers opportunities and challenges and requires innovative methods for research, analysis, development and validation of new mobility technologies. ViM aims to develop a platform prototype for research purposes and for the development of innovative business services, which can serve for testing novel mobility services and novel driving functions on a technical level (e.g. collaborative driving maneuvers). The aim is to develop a data and software framework that enables the introduction and use of different digital and modular components on the basis of their application context and provides mobility data as a basis for research, services and applications, taking into account any proprietary components. In particular, the platform allows the combination of real and simulated data to generate a realistic virtual world. Data analysis modules supplement this image and help to evaluate and interpret it.
The Chair of Computer Networks and Communication Systems is involved in all work packages and leads in particular the work package Simulation.
Hybrid Co-Simulation Framework
(Own Funds)Term: since 2017-11-01Simulation is a decent method to study, evaluate, and validate upcoming technologies and algorithms. In order to generate realistic results, it is necessary to overcome different challenges. One of these challenges is the computational feasibility of holistic simulation scenarios, especially when it comes to large-scale setups. These scenarios may model a whole city or even an entire country. Besides performance problems, adequate modeling of real world scenarios often requires the combination of multiple simulation tools from different domains. This combination often requires the connection of different modeling paradigms. Other challenges tasks are the time synchronization of the different simulation tools and the data exchange between them.
To solve these problems, a hybrid co-simulation framework is developed in this project. The Framework uses an implementation of High Level Architecture (HLA, IEEE1516) as a middleware and enables the dynamic composition of a simulation setup that matches current requirements. The composition takes place in two dimensions. In a vertical dimension, multi-level support empowers the simulation at different levels of detail, corresponding to the demands regarding performance, available data, or posed questions. In a horizontal dimension, the coupling of tools from different domains is enabled. The focus on extendability makes it possible to add any needed tools at a later point in time to the framework.