Today the railway timetabling process and the track allocation
is one of the most challenging problems to solve by a railway company.
Especially due to the deregulation of the transport market in the recent years several
suppliers of railway traffic have entered the market in Europe. This leads to more
potential conflicts between trains caused by an increasing demand of train paths.
Planning and operating railway transportation systems is extremely hard due
to the combinatorial complexity of the underlying discrete optimization problems,
the technical intricacies, and the immense size of the problem instances.
In order to make best use of the infrastructure and to ensure economic operation,
efficient planning of the railway operation is indispensable.
Mathematical optimization models and algorithms can help
to automatize and tackle these challenges.
Our contribution in this paper is to present a renewed planning process
due to the liberalization in Europe and an associated concept for track allocation, that consists
of three important parts, simulation, aggregation, and optimization.
Furthermore, we present results of our general framework for real world data.