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TrafficGen: A Flexible Tool For Informing Agent-Based Traffic Simulations With Open Data

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection (PAAMS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9086))

Abstract

Multi-Agent Systems have been widely used for traffic simulation. The modeling of individuals allows indeed to introduce a behavioral diversity which is crucial to obtain realistic simulation outcomes. The recent growth of open geographical databases and related flow information provides an opportunity for enhancing traffic simulators with data automatically retrieved from the real world and updated regularly. We present here TrafficGen, a highly modular platform based on the integration of such open data within a library of rule-based behaviors, in order to provide a versatile decision support tool in traffic.

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Author information

Authors and Affiliations

  1. Multiagent team, CRIStAL UMR CNRS, University of Lille – Science and Technology, 9189, Villeneuve d’Ascq, France

    Alexandre Bonhomme, Philippe Mathieu & Sébastien Picault

Authors
  1. Alexandre Bonhomme
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  2. Philippe Mathieu
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  3. Sébastien Picault
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Corresponding author

Correspondence to Philippe Mathieu .

Editor information

Editors and Affiliations

  1. Centre National de la Recherche Scientifique, Grenoble, France

    Yves Demazeau

  2. University of Delaware, Newark, Delaware, USA

    Keith S. Decker

  3. Universidad Politécnica, Madrid, Spain

    Javier Bajo Pérez

  4. Department of Computing Science, Universidad de Salamanca, Salamanca, Spain

    Fernando de la Prieta

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© 2015 Springer International Publishing Switzerland

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Bonhomme, A., Mathieu, P., Picault, S. (2015). TrafficGen: A Flexible Tool For Informing Agent-Based Traffic Simulations With Open Data. In: Demazeau, Y., Decker, K., Bajo Pérez, J., de la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. PAAMS 2015. Lecture Notes in Computer Science(), vol 9086. Springer, Cham. https://doi.org/10.1007/978-3-319-18944-4_22

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  • DOI: https://doi.org/10.1007/978-3-319-18944-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18943-7

  • Online ISBN: 978-3-319-18944-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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