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...

Full description

Saved in:

Bibliographic Details
Published in:	Applied Mathematical Modelling Vol. 52; pp. 255 - 273
Main Authors:	Cavone, Graziana, Dotoli, Mariagrazia, Epicoco, Nicola, Seatzu, Carla
Format:	Journal Article
Language:	English
Published:	New York Elsevier Inc 01.12.2017 Elsevier BV
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!