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A Multi-agent Cellular Automata Model of Lane Changing Behaviour Considering the Aggressiveness and the Autonomy

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Parallel Processing and Applied Mathematics (PPAM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13827))

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Abstract

Various macroscopic and microscopic road traffic models allow traffic flow analysis. However, it should be emphasised that standard traffic flow models do not include drivers’ behaviour. Thus, we propose a multi-agent microscopic model for analysing the traffic flow considering the various type of agents. Agents represent both autonomous cars and various drivers’ behaviour (standard and aggressive drivers). Additionally, the presented model is based on accurate data, because it considers the actual dimensions of the vehicles. To accurately reflect the acquired dimensions of the cars, a small cell cellular automaton was used, where a set of cells represents one car. The obtained numerical results allowed us to bring both trivial and non-trivial conclusions.

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Authors and Affiliations

  1. West Pomeranian University of Technology, Żołnierska 52 Str., Szczecin, Poland

    Krzysztof Małecki, Piotr Wróbel & Patryk Górka

Authors
  1. Krzysztof Małecki
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  2. Piotr Wróbel
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  3. Patryk Górka
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Corresponding author

Correspondence to Krzysztof Małecki .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Knoxville, TN, USA

    Jack Dongarra

  3. University of Southern California, Marina del Rey, CA, USA

    Ewa Deelman

  4. Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

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Małecki, K., Wróbel, P., Górka, P. (2023). A Multi-agent Cellular Automata Model of Lane Changing Behaviour Considering the Aggressiveness and the Autonomy. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2022. Lecture Notes in Computer Science, vol 13827. Springer, Cham. https://doi.org/10.1007/978-3-031-30445-3_40

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  • DOI: https://doi.org/10.1007/978-3-031-30445-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30444-6

  • Online ISBN: 978-3-031-30445-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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