Railway Rapid Transit timetables with variable and elastic demand.

Canca, David; Algaba, Encarnación; Barrena, Eva y Zarzo Altarejos, Alejandro (2014). Railway Rapid Transit timetables with variable and elastic demand.. "Procedia - Social and Behavioral Sciences", v. 111 (n. null); pp. 538-548. ISSN 1877-0428. https://doi.org/10.1016/j.sbspro.2014.01.087.

Descripción

Título: Railway Rapid Transit timetables with variable and elastic demand.
Autor/es:
  • Canca, David
  • Algaba, Encarnación
  • Barrena, Eva
  • Zarzo Altarejos, Alejandro
Tipo de Documento: Artículo
Título de Revista/Publicación: Procedia - Social and Behavioral Sciences
Fecha: 5 Febrero 2014
Volumen: 111
Materias:
Palabras Clave Informales: Train timetabling; elastic demand, mixed-integer nonlinear programming
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Matemáticas del Área Industrial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper focuses on the design of railway timetables considering a variable elastic demand profile along a whole design day. Timetabling is the third stage in the classical hierarchical railway planning process. Most of previous works on this topic consider a uniform demand behavior for short planning intervals. In this paper, we propose a MINLP model for designing non-periodic timetables on a railway corridor where demand is dependent on waiting times. In the elastic demand case, long waiting times lead to a loss of passengers, who may select an alternative transportation mode. The mode choice is modeled using two alternative methods. The first one is based on a sigmoid function and can be used in case of absence of information for competitor modes. In the second one, the mode choice probability is obtained using a Logit model that explicitly considers the existence of a main alternative mode. With the purpose of obtaining optimal departure times, in both cases, a minimization of the loss of passengers is used as objective function. Finally, as illustration, the timetabling MINLP model with both mode choice methods is applied to a real case and computational results are shown.

Más información

ID de Registro: 36174
Identificador DC: http://oa.upm.es/36174/
Identificador OAI: oai:oa.upm.es:36174
Identificador DOI: 10.1016/j.sbspro.2014.01.087
URL Oficial: http://www.sciencedirect.com/science/journal/18770428/111
Depositado por: Memoria Investigacion
Depositado el: 22 Jun 2015 15:48
Ultima Modificación: 22 Jun 2015 15:48
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