Robust rolling stock in rapid transit network

Cadarso Morga, Luis y Marín Gracia, Angel (2011). Robust rolling stock in rapid transit network. "Computers & Operations Research", v. 38 (n. 8); pp. 1131-1142. ISSN 0305-0548. https://doi.org/10.1016/j.cor.2010.10.029.

Descripción

Título: Robust rolling stock in rapid transit network
Autor/es:
  • Cadarso Morga, Luis
  • Marín Gracia, Angel
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers & Operations Research
Fecha: 2011
Volumen: 38
Materias:
Escuela: E.T.S.I. Aeronáuticos (UPM) [antigua denominación]
Departamento: Matemática Aplicada y Estadística [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper focuses on the railway rolling stock circulation problem in rapid transit networks, in which frequencies are high and distances are relatively short. Although the distances are not very large, service times are high due to the large number of intermediate stops required to allow proper passenger flow. The main complicating issue is the fact that the available capacity at depot stations is very low, and both capacity and rolling stock are shared between different train lines. This forces the introduction of empty train movements and rotation maneuvers, to ensure sufficient station capacity and rolling stock availability. However, these shunting operations may sometimes be difficult to perform and can easily malfunction, causing localized incidents that could propagate throughout the entire network due to cascading effects. This type of operation will be penalized with the goal of selectively avoiding them and ameliorating their high malfunction probabilities. Critic trains, defined as train services that come through stations that have a large number of passengers arriving at the platform during rush hours, are also introduced. We illustrate our model using computational experiments drawn from RENFE (the main Spanish operator of suburban passenger trains) in Madrid, Spain. The results of the model, achieved in approximately 1 min, have been received positively by RENFE planners

Más información

ID de Registro: 15278
Identificador DC: http://oa.upm.es/15278/
Identificador OAI: oai:oa.upm.es:15278
Identificador DOI: 10.1016/j.cor.2010.10.029
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0305054810002601?np=y
Depositado por: Memoria Investigacion
Depositado el: 22 Jul 2013 07:53
Ultima Modificación: 21 Abr 2016 15:19
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