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Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection (PAAMS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12946))

Abstract

AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns in mobility. The simulator uses semantic technology to model knowledge of individuals and thus is able to capture individual preferences and personal objectives as determining factors of travel decisions. This creates a deeper understanding of the individuals and allows for new analysis options. Using an example, we give an overview of analysis instruments implemented in our simulator that are particularly suitable to examine results of individual-based simulations.

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Notes

  1. 1.

    See https://github.com/kite-cloud/agade-traffic.

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Acknowledgement

This research has been supported by a grant from the Karl-Vossloh-Stiftung (Project Number S0047/10053/2019).

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Authors and Affiliations

  1. KITE, Technische Hochschule Mittelhessen, 61169, Friedberg, Germany

    Johannes Nguyen, Thomas Farrenkopf & Michael Guckert

  2. School of Computing, Edinburgh Napier University, Edinburgh, EH10 5DT, UK

    Johannes Nguyen, Simon T. Powers & Neil Urquhart

Authors
  1. Johannes Nguyen
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  2. Simon T. Powers
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  3. Neil Urquhart
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  4. Thomas Farrenkopf
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  5. Michael Guckert
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Corresponding author

Correspondence to Johannes Nguyen .

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Editors and Affiliations

  1. Umeå University, Umeå, Sweden

    Frank Dignum

  2. Universidad de Salamanca, Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  3. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

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Nguyen, J., Powers, S.T., Urquhart, N., Farrenkopf, T., Guckert, M. (2021). Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_33

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  • DOI: https://doi.org/10.1007/978-3-030-85739-4_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85738-7

  • Online ISBN: 978-3-030-85739-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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