An Incremental Decision Algorithm For Railway
Traffic Optimisation In A Complex Station
Author(s)
J. Rodriguez
Abstract
In heavy traffic nodes of rail networks, as in main stations, conflicts and subsequent
train delays greatly propagate during operations. A disturbance which is at
origin only a few seconds long can quickly lead to other delays of over five minutes.
To limit this phenomenon, newmethods andmodels are necessary to optimise
the use of scarce resources like platforms and track sections.
The operator controlling traffic has to select and evaluate alternative solutions
that reduce delays caused by conflicts. This task can be formulated as an optimisation
problem, where the decision variables are the selection of the alternative
routes and sequences for trains and the criterion is the sum of delays.
This optimisation problem is a joint scheduling and allocation problems and
is considered to be a NP-hard problem which makes it hard to solve using exact
methods for a reasonable problem size.
In this paper, we compare two heuristic methods for solving the problem. The
first one uses a two-phase approach to perform independently resource allocation
and scheduling. The second one performs incrementally the two kinds of decisions
at track section level, i.e. at each step, the algorithm performs decisions of
allocation of a track section or scheduling a pair of train runs on this section. The
algorithm uses a measure of the criticality of the track sections to heuristically
choose between making resource allocation decisions or scheduling decisions.
Keywords: rescheduling, traffic control, heuristic methods, constraint programming.
Keywords
rescheduling, traffic control, heuristic methods, constraint programming.
Related Book
Other papers in this volume
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