Optimisation of Car Fleet Exploitation Using Statistical and Fuzzy Logic Approaches

LISELEC is a car sharing system implemented in La Rochelle in 1999. Its goal is to provide the city with a clean transport means offering a mode combining the individual use and the public ownership. This paper presents a contribution to develop a decision aid tool with a double objective: to optimize its exploitation and to anticipate extension (increase of the number of stations or cars, change of vehicle type) for improving the system efficiency. The first step of the project was a detailed analysis of the data exploitation for acquiring knowledge of components behavior. In this aim, Principal Component Analysis was used to establish correlations between different vehicle flows, departure hour and arrival hour. Via concepts like accessibility and attractiveness of an urban area, a fuzzy logic approach was used in order to model the flows between the Liselec stations.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 37-46
  • Monograph Title: Urban Transport XI: Urban Transport and the Environment in the 21st Century

Subject/Index Terms

Filing Info

  • Accession Number: 01000809
  • Record Type: Publication
  • ISBN: 184564008X
  • Files: TRIS
  • Created Date: Jun 14 2005 10:49AM