International Conference on Computer Aided Systems Theory

Computer Aided Systems Theory – EUROCAST 2015 pp 781-788

Using Data Mining to Improve the Public Transport in Gran Canaria Island

  • Teresa Cristóbal
  • José J. Lorenzo
  • Carmelo R. García
Conference paper

DOI: 10.1007/978-3-319-27340-2_96

Volume 9520 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Cristóbal T., Lorenzo J.J., García C.R. (2015) Using Data Mining to Improve the Public Transport in Gran Canaria Island. In: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2015. Lecture Notes in Computer Science, vol 9520. Springer, Cham

Abstract

In this work Business Intelligence and Data Mining techniques have been used to extract useful knowledge for the main corporation of intercity public transportation on Gran Canaria island. The aim has been to find a pattern to predict the number of passengers who want to travel from one point to another. To achieve it, events files generated in the vehicles of the company and additional data have been used as information source: temporal (time of the trip, type of the day,month and season) and geographic and demographic (departure and destination bus stop, type of bus stop and zip codes of the origin and destination bus stop.

Keywords

Data mining Intelligent transport systems Public transport management 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Teresa Cristóbal
    • 1
  • José J. Lorenzo
    • 2
  • Carmelo R. García
    • 1
  1. 1.Institute for Cybernetic Science and TechnologyUniversity of Las Palmas de Gran CanariaLas PalmasSpain
  2. 2.Institute of Intelligent Systems and Numerical Applications in EngineeringUniversity of Las Palmas de Gran CanariaLas PalmasSpain