**Reference:**

T.J.J. van den Boom,
N. Weiss,
W. Leune,
R.M.P. Goverde, and
B. De Schutter,
"A permutation-based algorithm to optimally reschedule trains in a
railway traffic network," *Proceedings of the 18th IFAC World
Congress*, Milan, Italy, pp. 9537-9542, Aug.-Sept. 2011.

**Abstract:**

In this paper we discuss dynamic traffic management of railway traffic
networks at an operational level. We design a model predictive
controller based on measurements of the actual train positions. The
core of the model predictive control approach is the railway traffic
model, for which a switching max-plus linear system is proposed. If
the model is affine in the controls, the optimisation problem can be
recast as a mixed-integer linear programming problem. To this end we
present a permutation-based algorithm to model the rescheduling of
trains running on the same track. We apply the algorithm to a simple
railway traffic network simulation model and show a significant
reduction of delays compared to the uncontrolled case.

Online version of the paper

Corresponding technical report: pdf file (161 KB)

@inproceedings{vanWei:11-021,

author={T.J.J. van den Boom and N. Weiss and W. Leune and R.M.P. Goverde and B. {D}e Schutter},

title={A permutation-based algorithm to optimally reschedule trains in a railway traffic network},

booktitle={Proceedings of the 18th IFAC World Congress},

address={Milan, Italy},

pages={9537--9542},

month=aug # {--} # sep,

year={2011},

doi={10.3182/20110828-6-IT-1002.02352}

}

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