A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis

•We present a procedure for robust real-time train rescheduling.•The method allows coping with disturbances on the railway traffic.•The approach allows restoring in real-time the proper functioning of the network.•The offline self-learning increases the effectiveness of the procedure.•The technique...

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Vydané v:	Applied Mathematical Modelling Ročník 52; s. 255 - 273
Hlavní autori:	Cavone, Graziana, Dotoli, Mariagrazia, Epicoco, Nicola, Seatzu, Carla
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Inc 01.12.2017 Elsevier BV
Predmet:	Data Envelopment Analysis Decision analysis Decision making Disturbances Integer programming Learning Linear programming Maximization Mixed integer Operations research Optimization Rail transportation Railroads Railways Real time Rescheduling Robustness Timetables Trains Rescheduling Robustness Decision making Railways Real-time Data Envelopment Analysis
ISSN:	0307-904X, 1088-8691, 0307-904X
On-line prístup:	Získať plný text
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