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  • 标题:Operation optimizing for minimizing passenger travel time cost and operating cost with time-dependent demand and skip-stop patterns: Nonlinear integer programming model with linear constraints
  • 本地全文:下载
  • 作者:Junru Zhao ; Mao Ye ; Zhiqiang Yang
  • 期刊名称:Transportation Research Interdisciplinary Perspectives
  • 印刷版ISSN:2590-1982
  • 出版年度:2021
  • 卷号:9
  • 页码:100309-100316
  • DOI:10.1016/j.trip.2021.100309
  • 出版社:Elsevier BV
  • 摘要:This paper focuses on how to minimize the total passenger travel time cost by computing and adjusting skip-sop patterns with given time-varying origin-to-destination passenger demand matrices. A bi-objective nonlinear integer programming model with linear constraints is proposed to precisely formulate the total travel time cost and operating cost under minute-dependent demand from the different origin–destination pairs. The proposed model is implemented by using the genetic algorithm with the idea point optimization solvers, and we show its effectiveness on the real world instance of Guangzhou Metro Line 8.
  • 关键词:Urban rail transit ; Operation optimization ; Skip-stop pattern ; Nonlinear mixed integer programming
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