Wegele, S.; Slovak, R.; Schnieder, E.:
Automated train operation planning using genetic algorithms.
In: Tsugawa, Sadayuki; Aoki, Masayoshi, Hrsg.: CTS 2003 - Preprints, S. 361-367, Tokyo, Japan, August 2003. 10th IFAC Symposium on Control in Transportation System/Tokyo, Japan.
Considering the German transportation growth prognosis
(Verkehrsprognose für die Bundesverkehrswegeplanung) for the year 2015
the rail traﬃc performance has to improve drastically in order to avoid a possible
traﬃc chaos on German roads. According to this it is necessary to encourage
especially the competitiveness of rail traﬃc. Therefore the advantages of road
traﬃc - ﬂexibility and punctuality - have to be established comparably in rail
traﬃc. Presently the railway management is based on a centralized supervision
and dispatching of railway operation, which has to be optimized in order to handle
the upcoming growth of transportation. This task can be performed by automated
train path routing procedures based on mathematical optimizations. This paper
shows an success promising approach using genetic algorithms. The application of
this stochastic optimization procedure requires a highly eﬃcient simulation model
of railway operations, which in the present case is been implemented by using
Petri-nets. On the bases of a practical case study the possible ﬁelds of application
for this prototypical implemented procedure of train path routing are presented.