Scheduling local and express trains in suburban rail transit lines: Mixed–integer nonlinear programming and adaptive genetic algorithm

We investigate the train timetabling problem in suburban rail transit lines by considering (1) the traditional stopping mode (TSM), in which all trains stop at each station, and (2) the express/local stopping mode (ELM), in which express trains can skip certain low–demand stations. We first propose...

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Veröffentlicht in:	Computers & operations research Jg. 135; S. 105436
Hauptverfasser:	Tang, Lianhua, D’Ariano, Andrea, Xu, Xingfang, Li, Yantong, Ding, Xiaobing, Samà, Marcella
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.11.2021 Pergamon Press Inc
Schlagworte:	Adaptive algorithms Adaptive genetic algorithm (A–GA) Case studies Express/local stopping mode (ELM) Genetic algorithms Integer programming Linear programming Mathematical models Mixed–integer nonlinear programming (MINLP) Nonlinear programming Operations research Optimization Parameter sensitivity Passenger travel time (PTT) Rail transportation Railway stations Sensitivity analysis Suburban rail transit (SRT) Traditional (all) stopping mode (TSM) Train overtaking Train timetabling Trains Travel time Train overtaking Adaptive genetic algorithm (A–GA) Traditional (all) stopping mode (TSM) Express/local stopping mode (ELM) Suburban rail transit (SRT) Mixed–integer nonlinear programming (MINLP) Passenger travel time (PTT) Train timetabling
ISSN:	0305-0548, 0305-0548
Online-Zugang:	Volltext
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