A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand

Berbey Álvarez, Aranzazu and Caballero George, Rony and Sanz Bobi, Juan de Dios and Galán López, Ramón (2010). A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand. In: "The International Conference on Fuzzy Computation and International Conference on Neural Computation, ICFC2010- ICNC2010", 24/10/2010 - 26/10/2010, Valencia, España. ISBN 978-989-842532-4.

Description

Title: A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand
Author/s:
  • Berbey Álvarez, Aranzazu
  • Caballero George, Rony
  • Sanz Bobi, Juan de Dios
  • Galán López, Ramón
Item Type: Presentation at Congress or Conference (Article)
Event Title: The International Conference on Fuzzy Computation and International Conference on Neural Computation, ICFC2010- ICNC2010
Event Dates: 24/10/2010 - 26/10/2010
Event Location: Valencia, España
Title of Book: Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation, ICFC2010- ICNC2010
Date: 2010
ISBN: 978-989-842532-4
Subjects:
Freetext Keywords: Fuzzy logic inference, passenger flow modelling, maximum entropy theory, matrix method of area trips OD.
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica y de Fabricación [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (114kB) | Preview

Abstract

This paper presents a new approach that designs the flow of passengers in mass transportation systems in presence of uncertainties. One of the techniques used for the prediction of passenger demand is the origin destination matrices. However, this method is limited to urban areas and rarely to explicit stations. Otherwise, the gravity models based on friction functions can be another alternative; however, it is difficult to fit into practical achievements. Another solution might be the application of artificial intelligence techniques so as to include some intuitive knowledge provided by an expert to predict the flow demand of passengers’ trips in explicit stations. This paper proposes to combine a matrix of origin-destination trips of travel zones, with the intuitive knowledge, applying a fuzzy logic inference approach.

More information

Item ID: 8195
DC Identifier: http://oa.upm.es/8195/
OAI Identifier: oai:oa.upm.es:8195
Official URL: http://www.ijcci.org/IJCCI2010/home.asp
Deposited by: Memoria Investigacion
Deposited on: 05 Aug 2011 08:01
Last Modified: 20 Apr 2016 17:04
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM