災害発生後の車両運用計画作成に対する多品種ネットワークフローモデル

抄録

When a large-scale natural disaster happens, railway facilities can be affected. In that case, they may be restored, and the operation section will be expanded accordingly. It is necessary to make a transport plan in each expansion phase, which is a heavy work for schedule planners. In this paper, we propose a rolling stock assignment algorithm for supporting schedule planners. The algorithm is based on a multi-commodity network flow model which aims to reduce the number of required rolling stocks and split-and-merge. In addition, we show the result of computational experiments using actual railway data.