Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study

•Introduce a problem how to passenger flow control under uncertain demand.•Propose an analysis framework of subway station service capacity for passenger flow control.•Develop a simulation-based algorithm embedded genetic algorithm and data envelopment analysis to solve these models.•Provide a real-...

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Veröffentlicht in:	Transportation research. Part E, Logistics and transportation review Jg. 87; S. 130 - 148
Hauptverfasser:	Xu, Xin-yue, Liu, Jun, Li, Hai-ying, Jiang, Man
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Exeter Elsevier India Pvt Ltd 01.03.2016 Elsevier Sequoia S.A
Schlagworte:	Airports Algorithms Case studies Data envelopment analysis Demand Flow control Genetic algorithm Genetic algorithms Mathematical models Passengers Simulation Simulation optimization Station service capacity Stations Studies Subway station Subway stations Subways Transportation Uncertain demand Subway station Uncertain demand Genetic algorithm Simulation optimization Station service capacity Data envelopment analysis
ISSN:	1366-5545, 1878-5794
Online-Zugang:	Volltext
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