Mining train delays

Authors:
Boris Cule;Bart Goethals;Sven Tassenoy;Sabine Verboven
Affiliations:
University of Antwerp, Department of Mathematics and Computer Science, Antwerp, Belgium;University of Antwerp, Department of Mathematics and Computer Science, Antwerp, Belgium;INFRABEL - Network, Department of Innovation, Brussels, Belgium;INFRABEL - Network, Department of Innovation, Brussels and University of Antwerp, Department of Mathematics and Computer Science, Antwerp, Belgium
Venue:
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Year:
2011

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Abstract

The Belgian railway network has a high traffic density with Brussels as its gravity center. The star-shape of the network implies heavily loaded bifurcations in which knock-on delays are likely to occur. Knock-on delays should be minimized to improve the total punctuality in the network. Based on experience, the most critical junctions in the traffic flow are known, but others might be hidden. To reveal the hidden patterns of trains passing delays to each other, we study, adapt and apply the state-of-the-art techniques for mining frequent episodes to this specific problem.