Train timetabling at rapid rail transit lines: a robust multi-objective stochastic programming approach

In the setting of public transportation system, improving the service quality as well as robustness against uncertainty through minimizing the total waiting times of passengers is a real issue. This study proposed robust multi-objective stochastic programming models for train timetabling problem in...

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Veröffentlicht in:	Operational research Jg. 17; H. 2; S. 435 - 477
Hauptverfasser:	Hassannayebi, Erfan, Zegordi, Seyed Hessameddin, Amin-Naseri, Mohammad Reza, Yaghini, Masoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2017 Springer Nature B.V
Schlagworte:	Business and Management Computational Intelligence Cost function Management Science Operations Research Operations Research/Decision Theory Original Paper Passengers Public transportation Rapid transit systems Robustness Stochastic models Stochastic programming Transportation systems Travel demand Underground railways Urban rail Urban rail Uncertain demand Robust multi-objective stochastic programming Train timetabling
ISSN:	1109-2858, 1866-1505
Online-Zugang:	Volltext
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