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Prediction System for the Management of Bicycle Sharing Systems

  • Juan F. De PazEmail author
  • Gabriel Villarrubia
  • Ana B. Gil
  • Ángel L. Sánchez
  • Vivian F. López
  • M. Dolores Muñoz
Conference paper
  • 296 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 806)

Abstract

Bicycle sharing systems are very common in urban areas; their goal is to improve citizens’ mobility around the city. The efficient management of bicycle stations is the greatest challenge for such systems and makes it difficult to satisfy the users’ demand for bicycles. To overcome this challenge, it is important to predict their use and to constantly monitor the number of bicycles available at stations, ensuring that they are distributed according to the demand in those places. In this work, we analyse the demand for bicycles per user and predict the routes users may travel to determine the possibility of predicting the behaviour of users. To this end, meteorological information and historical data on the use of the stations were incorporated into the system.

Keywords

Demand forecasting Classifiers Route prediction 

Notes

Acknowledgments

This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. Project. SURF: Intelligent System for integrated and sustainable management of urban fleets TIN2015-65515-C4-3-R.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Juan F. De Paz
    • 1
    Email author
  • Gabriel Villarrubia
    • 1
  • Ana B. Gil
    • 1
  • Ángel L. Sánchez
    • 1
  • Vivian F. López
    • 1
  • M. Dolores Muñoz
    • 1
  1. 1.Departamento de Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

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