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Adaptable Demonstrator Platform for the Simulation of Distributed Agent-Based Automotive Systems

Authors Philipp Weiss, Sebastian Nagel, Andreas Weichslgartner, Sebastian Steinhorst



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Author Details

Philipp Weiss
  • Technische Universität München, Germany
Sebastian Nagel
  • Technische Universität München, Germany
Andreas Weichslgartner
  • AUDI AG, Ingolstadt, Germany
Sebastian Steinhorst
  • Technische Universität München, Germany

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Philipp Weiss, Sebastian Nagel, Andreas Weichslgartner, and Sebastian Steinhorst. Adaptable Demonstrator Platform for the Simulation of Distributed Agent-Based Automotive Systems. In 2nd International Workshop on Autonomous Systems Design (ASD 2020). Open Access Series in Informatics (OASIcs), Volume 79, pp. 3:1-3:6, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.ASD.2020.3

Abstract

Future autonomous vehicles will no longer have a driver as a fallback solution in case of critical failure scenarios. However, it is costly to add hardware redundancy to achieve a fail-operational behaviour. Here, graceful degradation can be used by repurposing the allocated resources of non-critical applications for safety-critical applications. The degradation problem can be solved as a part of an application mapping problem. As future automotive software will be highly customizable to meet customers' demands, the mapping problem has to be solved for each individual configuration and the architecture has to be adaptable to frequent software changes. Thus, the mapping problem has to be solved at run-time as part of the software platform. In this paper we present an adaptable demonstrator platform consisting of a distributed simulation environment to evaluate such approaches. The platform can be easily configured to evaluate different hardware architectures. We discuss the advantages and limitations of this platform and present an exemplary demonstrator configuration running an agent-based graceful degradation approach.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Distributed architectures
  • Computer systems organization → Redundancy
  • Computing methodologies → Self-organization
Keywords
  • fail-operational
  • graceful degradation
  • agent-based mapping

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References

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  2. Ontje Lünsdorf and Stefan Scherfke. SimPy Discrete Event Simulation Library for Python, Version 3.0.9. URL: https://simpy.readthedocs.io.
  3. Felix Reimann, Martin Lukasiewycz, Michael Glaß, and Fedor Smirnov. OpenDSE – Open Design Space Exploration Framework, 2019. URL: http://opendse.sourceforge.net/.
  4. Selma Saidi, Sebastian Steinhorst, Arne Hamann, Dirk Ziegenbein, and Marko Wolf. Future automotive systems design: Research challenges and opportunities: Special session. In Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2018. Google Scholar
  5. Philipp Weiss, Andreas Weichslgartner, Felix Reimann, and Sebastian Steinhorst. Fail-operational automotive software design using agent-based graceful degradation. In Proceedings of the Conference on Design, Automation and Test in Europe (DATE), 2020. Google Scholar
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