Konferensartikel

This paper deals with the situation of re-scheduling railway rolling stock rotations after a major disruption. Disruptions are an all day life problem when operating a railway system. Nevertheless, an unusal example for a disruption is the collapse of a tunnel ceiling near Rastatt in southern Germany due to construction works related to the enlargement of the tracks between Karlsruhe and Basel. As a result the main railway connections Amsterdam-Basel and Berlin-Basel, located on top of the tunnel, had to be closed from August 12th to October 2nd 2017. This had a major impact on the railway network in southern Germany. Hence, all rotation plans and train schedules for both passenger and cargo traffic had to be revised. Since the disruption was very long lasting the revision of the rotation plans was done on a tactical rather than on an operational level which would usually be the case. In this paper we focus on a case study for this situation and compute new rotation plans via mixed integer programming for the ICE high speed fleet of DB Fernverkehr AG one of the largest passenger railway companies in Europe. In our approach we take care of some side constraints to ensure a smooth continuation of the rotation plans after the disruption has ended.

case study, railway rolling stock optimization, mixed integer programming, re-optimization