Reference
T. J. J. van den Boom and B. De
Schutter, "On a model predictive control algorithm for dynamic railway network
management,"
Proceedings of the 2nd International Seminar on
Railway Operations Modelling and Analysis (RailHannover2007) (
I. A. Hansen, A. Radtke, J. Pachl, and E.
Wendler, eds.), Hannover, Germany, 15 pp., Mar. 2007.
Abstract
In this paper we discuss a model predictive control method for dynamic traffic
management of railway networks. The main aim of the predictive controller is to
recover from delays in an optimal way by breaking connections and changing the
departure of trains (at a cost). To model the railway system we use a switching
max-plus-linear system description. We define the model predictive control
design problem for the railway network, and we show that the problem can be
recast into a mixed integer linear programming problem. This problem can be
solved using existing solvers for MILP problems, or with a genetic algorithm or
tabu search algorithm. We also apply the control strategy to a model of the
Dutch railway network.
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BibTeX
@inproceedings{vanDeS:07-009,
author = {van den Boom, Ton J. J. and De Schutter, Bart},
title = {On a Model Predictive Control Algorithm for Dynamic Railway
Network Management},
booktitle = {Proceedings of the 2nd International Seminar on Railway
Operations Modelling and Analysis (RailHannover2007)},
editor = {Hansen, Ingo A. and Radtke, Andreas and Pachl, J\"{o}rn and
Wendler, Ekkehard},
address = {Hannover, Germany},
month = mar,
year = {2007}
}