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  • 标题:Railway Rapid Transit Timetables with Variable and Elastic Demand
  • 本地全文:下载
  • 作者:David Canca ; David Canca ; Encarnación Algaba
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2014
  • 卷号:111
  • 页码:538-548
  • DOI:10.1016/j.sbspro.2014.01.087
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis 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.
  • 关键词:Train timetabling;elastic demand;mixed-integer nonlinear programming
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