Two-phase decomposition method for the last train departure time choice in subway networks

•Develop a global optimization method that can solve the last-train departure time choice problem for large-scale urban subway networks.•A novel MILP model is developed for the problem.•A two-phase decomposition method is proposed to decompose the original MILP into two MILP models with small sizes....

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Veröffentlicht in:	Transportation research. Part B: methodological Jg. 104; S. 568 - 582
Hauptverfasser:	Kang, Liujiang, Meng, Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.10.2017 Elsevier Science Ltd
Schlagworte:	Algorithms Decomposition Global optimization Global optimization method Integer programming Last train departure time choice Linear programming Mixed-integer linear programming Parameter sensitivity Passengers Phase decomposition Public transportation Real variables Scale (ratio) Sensitivity analysis Solvers Subways Topology Trains Transportation networks Two-phase decomposition method Urban subway networks Beijing China China Last train departure time choice Global optimization method Urban subway networks Two-phase decomposition method Mixed-integer linear programming
ISSN:	0191-2615, 1879-2367
Online-Zugang:	Volltext
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