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Intelligent People Flow Coordination in Smart Spaces

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Multi-Agent Systems and Agreement Technologies (EUMAS 2015, AT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9571))

Abstract

In this paper, we present a short overview of the people flow coordination methods and propose a multi-agent based route recommender architecture for smart spaces which considers the influence of stress on human reactions to the recommended routes. The objective of the architecture is to ensure that people can efficiently move in and among smart spaces while at the same time improve the overall system performance. The functioning of the architecture is demonstrated on a case study. The proposed approach can be used, among others, in route recommendation in smart cities, large public events, and emergency evacuations.

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Acknowledgements

This work has been partially supported by the Spanish Ministry of Economy and Competitiveness through grant TIN 2012-36586 -C03-02 (“iHAS”) as well as by the Autonomous Region of Madrid through grant P2013/ICE-3019 (“MOSI-AGIL-CM”, co-funded by EU Structural Funds FSE and FEDER), and through the Excellence Research Group GES2ME (Ref. 30VCPIGI05) co-financed by the University King Juan Carlos and Santander Bank.

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Authors and Affiliations

  1. CETINIA, University King Juan Carlos, Madrid, Spain

    Marin Lujak & Sascha Ossowski

Authors
  1. Marin Lujak
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  2. Sascha Ossowski
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Corresponding author

Correspondence to Marin Lujak .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, United Kingdom

    Michael Rovatsos

  2. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    George Vouros

  3. Technical University of Valencia, Valencia, Spain

    Vicente Julian

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Lujak, M., Ossowski, S. (2016). Intelligent People Flow Coordination in Smart Spaces. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-33509-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33508-7

  • Online ISBN: 978-3-319-33509-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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