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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.
Title: | A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand |
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Author/s: |
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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 |
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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.
Item ID: | 8195 |
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DC Identifier: | https://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 |