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European Conference on Multi-Agent Systems

International Conference on Agreement Technologies

EUMAS 2017, AT 2017: Multi-Agent Systems and Agreement Technologies pp 476–489Cite as

Station Status Forecasting Module for a Multi-agent Proposal to Improve Efficiency on Bike-Sharing Usage

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10767))

Abstract

Urban transportation involves a number of common problems: air and acoustic pollution, traffic jams, and so forth. This has become an important topic of study due to the interest in solving these issues in different areas (economical, social, ecological, etc.). Nowadays, one of the most popular urban transport systems are the shared vehicles systems. Among these systems there are the shared bicycle systems which have an special interest due to its characteristics. While solving some of the problems mentioned above, these systems also arise new problems such as the distribution of bicycles over time and space. Traditional approaches rely on the service provider to balancing the system, thus generating extra costs. Our proposal consists on an multi-agent system that includes user actions as a balancing mechanism, taking advantage of their trips to optimize the overall balance of the system. With this goal in mind the user is persuaded to deviate slightly from its origin/destination by providing appropriate arguments and incentives. This article presents the prediction module that will enable us to create such persuasive system. This module allow us to predict the demand for bicycles in the stations, forecasting the number of available parking spots (or available bikes). With this information the multi-agent system is capable of scoring alternative stations and routes and making offers to balance bikes across the stations. In order to achieve this, the most proper offers for the user will be predicted and used to persuade her.

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Notes

  1. 1.

    We would never expect drastic deviations.

  2. 2.

    Equivalent to predicting the number of available bikes, as it can be obtained by subtracting the empty parking slots from the total number of slots.

  3. 3.

    http://gobiernoabierto.valencia.es/en/.

  4. 4.

    http://www.weatherunderground.com.

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Author information

Authors and Affiliations

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

    C. Diez, J. Palanca, V. Julian & A. Giret

  2. School of Computing, Electronics, and Maths, Coventry University, Coventry, UK

    V. Sanchez-Anguix

  3. Florida Universitaria, Catarroja, Spain

    V. Sanchez-Anguix

  4. Universidad Isabel I, Burgos, Spain

    V. Sanchez-Anguix

Authors
  1. C. Diez
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  2. V. Sanchez-Anguix
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  3. J. Palanca
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  4. V. Julian
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  5. A. Giret
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Corresponding author

Correspondence to C. Diez .

Editor information

Editors and Affiliations

  1. University of Évry Val d'Essonne, Paris Saclay, France

    Francesco Belardinelli

  2. Polytechnic University of Valencia, Valencia, Spain

    Estefanía Argente

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Diez, C., Sanchez-Anguix, V., Palanca, J., Julian, V., Giret, A. (2018). Station Status Forecasting Module for a Multi-agent Proposal to Improve Efficiency on Bike-Sharing Usage. In: Belardinelli, F., Argente, E. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2017 2017. Lecture Notes in Computer Science(), vol 10767. Springer, Cham. https://doi.org/10.1007/978-3-030-01713-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-01713-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01712-5

  • Online ISBN: 978-3-030-01713-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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