Optimizing urban rail timetable under time-dependent demand and oversaturated conditions

•Develop integer programming models to design train timetables in a heavily congested urban rail corridor.•Analytically calculate effective passenger loading time periods under dynamic demand patterns.•Calculate time-dependent waiting times under oversaturated conditions.•Propose gradient-based and...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 36; S. 212 - 230
Hauptverfasser:	Niu, Huimin, Zhou, Xuesong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier India Pvt Ltd 01.11.2013 Elsevier
Schlagworte:	Applied sciences Exact sciences and technology Genetic algorithm Ground, air and sea transportation, marine construction Oversaturated condition Railway transportation and traffic Time-dependent demand Train timetable Transit service optimization Transportation planning, management and economics Urban rail line Time-dependent demand Genetic algorithm Oversaturated condition Urban rail line Transit service optimization Train timetable Transport demand Supersaturation Scheduling Running of trains Modeling Optimization Integer programming Time dependence Urban transportation Example Timetabling problem Numerical simulation Strategy Rail transportation
ISSN:	0968-090X, 1879-2359
Online-Zugang:	Volltext
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