Hybrid Co-Simulation Framework

Internally funded project


Project Details

Project leader:
Dr.-Ing. Anatoli Djanatliev
Prof. Dr. Reinhard German

Project members:
Moritz Gütlein

Contributing FAU Organisations:
Computer Science 7 (Computer Networks and Communication Systems)

Start date: 01/11/2017


Research Fields

Connected Mobility
Computer Science 7 (Computer Networks and Communication Systems)


Abstract (technical / expert description):

Simulation 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.


Publications

Gütlein, M., German, R., & Djanatliev, A. (2018). Towards a Hybrid Co-Simulation Framework: HLA-Based Coupling of MATSim and SUMO. In Eva Besada, Óscar Rodríguez Polo, Robson De Grande, José Luis Risco (Eds.), Proceedings of the 2018 IEEE/ACM 22st International Symposium on Distributed Simulation and Real Time Applications (DS-RT) (pp. 1-9). Madrid, ES: IEEE.

Last updated on 2019-29-03 at 16:51