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Transport Network Analysis for Smart Open Fleets

  • Miguel Rebollo
  • Carlos Carrascosa
  • Vicente JulianEmail author
Conference paper
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.

Notes

Acknowledgements

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

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Miguel Rebollo
    • 1
  • Carlos Carrascosa
    • 1
  • Vicente Julian
    • 1
    Email author
  1. 1.D. Sistemas Informáticos y ComputaciónUniversitat Politècnica de ValènciaValenciaSpain

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