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Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications

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Simulating Urban Traffic Scenarios

Part of the book series: Lecture Notes in Mobility ((LNMOB))

Abstract

This paper presents an approach for coupling traffic simulators of different resolutions in order to conduct virtual evaluations of advanced driver assistance systems based on vehicular ad hoc networks that are both large scale and a high fidelity. The emphasis is put on the need for such an attempt to satisfy the constraint of performing simulations in real time. Both the methods to accomplish this as well as the resulting performance are described.

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Author information

Authors and Affiliations

  1. Lehrstuhl Für Echtzeitsysteme Und Robotik, Technische Universität München, Boltzmannstr. 3, 85748, Garching, Germany

    Manuel Schiller & Alois Knoll

  2. VIRES Simulationstechnologie GmbH, Grassingerstraße 8, 83043, Bad Aibling, Germany

    Marius Dupius

  3. Institute of Transportation Systems, German Aerospace Center, Lilienthalplatz 7, 38108, Braunschweig, Germany

    Daniel Krajzewicz

  4. AUDI AG, Ettinger Straße, 85057, Ingolstadt, Germany

    Andreas Kern

Authors
  1. Manuel Schiller
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  2. Marius Dupius
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  3. Daniel Krajzewicz
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  4. Andreas Kern
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  5. Alois Knoll
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Corresponding author

Correspondence to Manuel Schiller .

Editor information

Editors and Affiliations

  1. Institute of Transportation Systems, German Aerospace Center (DLR), Berlin, Germany

    Michael Behrisch

  2. Institute of Transportation Systems, German Aerospace Center (DLR), Berlin, Germany

    Melanie Weber

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Schiller, M., Dupius, M., Krajzewicz, D., Kern, A., Knoll, A. (2019). Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications. In: Behrisch, M., Weber, M. (eds) Simulating Urban Traffic Scenarios. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-33616-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-33616-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33614-5

  • Online ISBN: 978-3-319-33616-9

  • eBook Packages: EngineeringEngineering (R0)

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