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

•Focus on minimizing the total travel time cost by adjusting skip-sop patterns.•The modelis proposed to precisely formulate the cost under the different OD pairs.•Use the genetic algorithm, and show its effectiveness on the real world instance. This paper focuses on how to minimize the total passeng...

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Veröffentlicht in:	Transportation research interdisciplinary perspectives Jg. 9; S. 100309
Hauptverfasser:	Zhao, Junru, Ye, Mao, Yang, Zhiqiang, Xing, Zongyi, Zhang, ZiHan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2021 Elsevier
Schlagworte:	Nonlinear mixed integer programming Operation optimization Skip-stop pattern Urban rail transit Nonlinear mixed integer programming Urban rail transit Operation optimization Skip-stop pattern
ISSN:	2590-1982, 2590-1982
Online-Zugang:	Volltext
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