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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Vydané v:	Computers & operations research Ročník 135; s. 105436
Hlavní autori:	Tang, Lianhua, D’Ariano, Andrea, Xu, Xingfang, Li, Yantong, Ding, Xiaobing, Samà, Marcella
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.11.2021 Pergamon Press Inc
Predmet:	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
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