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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2017: Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems pp 433–444Cite as

Transport Network Analysis for Smart Open Fleets

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Part of the Communications in Computer and Information Science book series (CCIS,volume 722)

Abstract

Current techniques for intelligent computing based on Multi-Agent Systems and Agreement Technologies can improve the management and control of transport fleets, both for human or goods mobility, in an urban environment. These technologies can offer services to users that are globally optimized and adapted to the changing needs and demands, but also, promoting an efficient use of available resources. In this way it is possible to improve the sustainability of traffic in urban areas, improve energy efficiency and increase the welfare of citizens. To do this it is necessary to provide complex services which offer critical information in order to reason and take decisions. This paper describes the use of complex network analysis as a way to predict the behaviour of the transport network in a city. This service can be used as a way to improve the use of incentives, argumentation or social reputation techniques for the automatic management of urban fleets.

Keywords

  • Public Transport
  • Voronoi Diagram
  • Transport Network
  • Task Allocation
  • Smart City

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-60285-1_37
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Acknowledgements

This work was supported by the project TIN2015-65515-C4-1-R of the Spanish government.

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Authors and Affiliations

  1. D. Sistemas Informáticos y Computación, Universitat Politècnica de València, Valencia, Spain

    Miguel Rebollo, Carlos Carrascosa & Vicente Julian

Authors
  1. Miguel Rebollo
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  2. Carlos Carrascosa
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  3. Vicente Julian
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Corresponding author

Correspondence to Vicente Julian .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  3. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  4. University of Porto, Porto, Portugal

    Ana Paula Rocha

  5. Lille University of Science and Technology, Lille, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Pawel Pawlewski

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  10. National University of Colombia, Manizales, Caldas, Colombia

    Nestor D. Duque Méndez

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Malmö University, Malmo, Sweden

    Johan Holmgren

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Rebollo, M., Carrascosa, C., Julian, V. (2017). Transport Network Analysis for Smart Open Fleets. In: , et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_37

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  • DOI: https://doi.org/10.1007/978-3-319-60285-1_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60284-4

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