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Empirische Evaluation von Prädiktionsmethoden am Beispiel der Vorhersage eines Spurwechsels aufgrund der Verkehrssituation

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Entscheidungen beim Übergang in die Elektromobilität

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Zusammenfassung

Dieser Beitrag beschreibt eine Untersuchung zu der Möglichkeit einen Spurwechsel abhängig von der vorliegenden (Verkehrs-)Situation vorherzusagen. Im Rahmen dieser Untersuchung werden verschiedene, in der Literatur gängige, Methoden der Prädiktion aus dem Bereich des „supervised learning“ anhand einer einheitlichen Datenbasis miteinander verglichen.

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Literatur

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Authors and Affiliations

  1. Universität Duisburg-Essen, Duisburg, Deutschland

    N. Maas & Prof. Dr.-Ing. D. Schramm

  2. BMW Group, München, Deutschland

    L. Louis

  3. D+S Automotive GmbH, Duisburg, Deutschland

    T. Rehder

Authors
  1. N. Maas
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  2. Prof. Dr.-Ing. D. Schramm
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  3. L. Louis
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  4. T. Rehder
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Corresponding author

Correspondence to N. Maas .

Editor information

Editors and Affiliations

  1. Betriebswirtschaftslehre & Internationales Automobilmanagement, Universität Duisburg-Essen Lehrstuhl für Allgemeine, Duisburg, Germany

    Heike Proff

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Maas, N., Schramm, D., Louis, L., Rehder, T. (2015). Empirische Evaluation von Prädiktionsmethoden am Beispiel der Vorhersage eines Spurwechsels aufgrund der Verkehrssituation. In: Proff, H. (eds) Entscheidungen beim Übergang in die Elektromobilität. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-09577-2_13

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  • DOI: https://doi.org/10.1007/978-3-658-09577-2_13

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  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-09576-5

  • Online ISBN: 978-3-658-09577-2

  • eBook Packages: Business and Economics (German Language)

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