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[TDB13] A column generation based method for robust railway rolling-stock planningConférence Internationale avec comité de lecture : TRISTAN VIII, June 2013, pp.4, SAN PEDRO DE ACATAMA, CHILE,
motcle:
Résumé:
Punctuality and reliability are essential elements of passenger transportation system. But
disruptions such as infrastructure failures and rolling-stock breakdowns can occur, and
then require an adaptation of the timetable, rolling-stock and crew schedules. The aim
of this study is to anticipate those potential disruptions by proposing robust rolling-stock
rosters. A robust rolling-stock roster should anticipate operational disruptions in order
to limit service quality deterioration and additional costs. So we introduce a criterion to
measure robustness of a rolling-stock roster. We model the robust rolling-stock planning
problem by a mixed-integer linear program (MILP). This problem is difficult to solve be-
cause of its exponential number of variables. Then, we first solve its continuous relaxation
by a column generation based method. And we find an integer feasible solution by using
a rounding heuristic.
Equipe:
oc
Collaboration:
R&D - SNCF
BibTeX
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