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Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling

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Artificial Neural Networks and Machine Learning – ICANN 2012 (ICANN 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7552))

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Abstract

Although the individuals’ transport behavioural modelling is a complex task, it has a notable social and economic impact. Thus, in this paper Fuzzy Cognitive Maps are explored to represent the behaviour and operation of such systems. This technique allows modelling how the travellers make decisions based on their knowledge of different transport modes properties at different levels of abstraction. We use learning of Fuzzy Cognitive Maps to describe travellers’ behaviour and change trends in different abstraction levels. The results of this study will help transportation policy decision makers in better understanding of people’s needs and consequently will help them actualizing different policy formulations and implementations.

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Author information

Authors and Affiliations

  1. Center of Studies on Informatics, Central University of Las Villas, Santa Clara, Cuba

    Maikel León & Rafael Bello

  2. Transportation Research Institute, Hasselt University, Diepenbeek, Belgium

    Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan & Koen Vanhoof

  3. Belgian Nuclear Research Centre SCK∙CEN, Mol, Belgium

    Lusine Mkrtchyan & Da Ruan

Authors
  1. Maikel León
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  2. Lusine Mkrtchyan
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  3. Benoît Depaire
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  4. Da Ruan
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  5. Rafael Bello
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  6. Koen Vanhoof
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Editor information

Editors and Affiliations

  1. Neuro Heuristic Research Group, University of Lausanne, 1015, Lausanne, Switzerland

    Alessandro E. P. Villa

  2. Department of Informatics, Nicolaus Copernicus University, 87-100, Toruń, Poland

    Włodzisław Duch

  3. Center for Complex Systems Studies, Kalamazoo College, 49006, Kalamazoo, MI, USA

    Péter Érdi

  4. Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, 16146, Genoa, Italy

    Francesco Masulli

  5. Institut für Neuroinformatik, Universität Ulm, 89069, Ulm, Germany

    Günther Palm

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© 2012 Springer-Verlag Berlin Heidelberg

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León, M., Mkrtchyan, L., Depaire, B., Ruan, D., Bello, R., Vanhoof, K. (2012). Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds) Artificial Neural Networks and Machine Learning – ICANN 2012. ICANN 2012. Lecture Notes in Computer Science, vol 7552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33269-2_90

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  • DOI: https://doi.org/10.1007/978-3-642-33269-2_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33268-5

  • Online ISBN: 978-3-642-33269-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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