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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Vydané v:	Transportation research interdisciplinary perspectives Ročník 9; s. 100309
Hlavní autori:	Zhao, Junru, Ye, Mao, Yang, Zhiqiang, Xing, Zongyi, Zhang, ZiHan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2021 Elsevier
Predmet:	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
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