Railway Rapid Transit timetables with variable and elastic demand.

Canca, David and Algaba, Encarnación and Barrena, Eva and 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.

Description

Title: Railway Rapid Transit timetables with variable and elastic demand.
Author/s:
  • Canca, David
  • Algaba, Encarnación
  • Barrena, Eva
  • Zarzo Altarejos, Alejandro
Item Type: Article
Título de Revista/Publicación: Procedia - Social and Behavioral Sciences
Date: 5 February 2014
Volume: 111
Subjects:
Freetext Keywords: Train timetabling; elastic demand, mixed-integer nonlinear programming
Faculty: E.T.S.I. Industriales (UPM)
Department: Matemática Aplicada a la Ingeniería Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 36174
DC Identifier: http://oa.upm.es/36174/
OAI Identifier: oai:oa.upm.es:36174
DOI: 10.1016/j.sbspro.2014.01.087
Official URL: http://www.sciencedirect.com/science/journal/18770428/111
Deposited by: Memoria Investigacion
Deposited on: 22 Jun 2015 15:48
Last Modified: 22 Jun 2015 15:48
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