Author(s): S. Wegele, F. Corman & A. D’Ariano
Rescheduling train traffic in a busy and complex railway area is a challenging task,
partly because of the high number of constraints to be taken into account, and
partly because of the many variables involved.
Currently this task is performed
almost exclusively by human traffic operators.
Previous attempts to provide an
automated decision support system have been limited to identifying and solving
train conflicts locally.
Recently, innovative dispatching support tools have been
presented that are able to cope with large (real-time) timetable perturbations, such
as train delays and their propagation.
However, there is a lack of computational
studies that underline their additional practical value.
This paper compares two
advanced support systems for real-time rescheduling of train operations, developed
for the German and Dutch railway networks.
The research aim is to establish
a bench mark for future co-operation and exchange of innovative solutions.
common test case from the Dutch railway network, the dispatching area between
Utrecht and Den Bosch, and disturbed traffic conditions are studied to evaluate
the two dispatching support tools in terms of delay minimization.
tools make use of different mathematical optimization techniques for the computation
of running times and train sequences, a detailed comparison of the proposed
rescheduling solutions is provided.
The use of railway capacity is illustrated in
order to enable an easy and fast detection of the train conflicts and to get precise
information about their resolution by the different rescheduling techniques.
decision support, computer techniques, dynamic train regulations.
Size: 1,683 kb
Paper DOI: 10.2495/978-1-84564-500-7/18
the Full Article
You can purchase the full text version of this article in Adobe PDF format for the above price. Please click the 'Buy Paper' icon below to purchase this paper.
this page to a colleague.