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Entropy 2015, 17(5), 2688-2705; doi:10.3390/e17052688

A Fuzzy Logic-Based Approach for Estimation of Dwelling Times of Panama Metro Stations

1
Facultad de Ingeniería Eléctrica, Universidad Tecnológica de Panamá, Campus Dr. Víctor Levi Sasso, Edificio N 1, 0819-07289 Panamá, Panamá,
2
Universidad de Granada, Escuela de Ingenieros de Caminos, Canales y Puertos, Laboratorio de Infraestructura y Transporte, calle Severo Ochoa, 18071 Granada, Spain
3
Panama Railway Engineering Research Group (PRERG), Universidad Tecnológica de Panamá, 0819-07289 Panamá, Panamá
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 30 November 2014 / Revised: 10 April 2015 / Accepted: 21 April 2015 / Published: 27 April 2015
(This article belongs to the Special Issue Entropy in Bioinspired Intelligence)
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Abstract

Passenger flow modeling and station dwelling time estimation are significant elements for railway mass transit planning, but system operators usually have limited information to model the passenger flow. In this paper, an artificial-intelligence technique known as fuzzy logic is applied for the estimation of the elements of the origin-destination matrix and the dwelling time of stations in a railway transport system. The fuzzy inference engine used in the algorithm is based in the principle of maximum entropy. The approach considers passengers’ preferences to assign a level of congestion in each car of the train in function of the properties of the station platforms. This approach is implemented to estimate the passenger flow and dwelling times of the recently opened Line 1 of the Panama Metro. The dwelling times obtained from the simulation are compared to real measurements to validate the approach. View Full-Text
Keywords: fuzzy logic; passengers flow; origin-destination matrix; fuzzy and hybrid techniques; dwelling time; membership function levels; artificial intelligence; Panama Metro fuzzy logic; passengers flow; origin-destination matrix; fuzzy and hybrid techniques; dwelling time; membership function levels; artificial intelligence; Panama Metro
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Berbey Alvarez, A.; Merchan, F.; Calvo Poyo, F.J.; Caballero George, R.J. A Fuzzy Logic-Based Approach for Estimation of Dwelling Times of Panama Metro Stations. Entropy 2015, 17, 2688-2705.

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