Abstract
The search for train connections in state-of-the-art commercial timetable information systems is based on a static schedule. Unfortunately, public transportation systems suffer from delays for various reasons. Thus, dynamic changes of the planned schedule have to be taken into account. A system that has access to delay information about trains (and uses this information within search queries) can provide valid alternatives in case a connection does not work. Additionally, it can be used to actively guide passengers as these alternatives may be presented before the passenger is already stranded at a station due to an invalid transfer.
In this work, we present an approach which takes a stream of delay information and schedule changes on short notice (partial train cancellations, extra trains) into account. Primary delays of trains may cause a cascade of so-called secondary delays of other trains which have to wait according to certain policies for delays between connecting trains. We introduce the concept of a dependency graph to efficiently calculate and update all primary and secondary delays. This delay information is then incorporated into a time-expanded search graph which has to be updated dynamically. These update operations are quite complex, but turn out to be not time-critical in a fully realistic scenario.
We finally present a case study with data provided by Deutsche Bahn AG, showing that this approach has been successfully integrated into the multi-criteria timetable information system MOTIS and can handle massive delay data streams instantly.
A preliminary version of this paper has appeared in Proceedings of ATMOS 2008 .
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References
Frede, L., Müller-Hannemann, M., Schnee, M.: Efficient on-trip timetable information in the presence of delays. In: Fischetti, M., Widmayer, P. (eds.) Proceedings of ATMOS 2008 - 8th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany (2008)
Müller-Hannemann, M., Schulz, F., Wagner, D., Zaroliagis, C.: Timetable information: Models and algorithms. In: Geraets, F., Kroon, L.G., Schoebel, A., Wagner, D., Zaroliagis, C.D. (eds.) Railway Optimization 2004. LNCS, vol. 4359, pp. 67–90. Springer, Heidelberg (2007)
Delling, D., Giannakopoulou, K., Wagner, D., Zaroliagis, C.: Timetable Information Updating in Case of Delays: Modeling Issues. Technical report ARRIVAL-TR-0133, ARRIVAL Project (2008)
Müller-Hannemann, M., Schnee, M.: Finding all attractive train connections by multi-criteria Pareto search. In: Geraets, F., Kroon, L.G., Schoebel, A., Wagner, D., Zaroliagis, C.D. (eds.) Railway Optimization 2004. LNCS, vol. 4359, pp. 246–263. Springer, Heidelberg (2007)
Gatto, M., Glaus, B., Jacob, R., Peeters, L., Widmayer, P.: Railway delay management: Exploring its algorithmic complexity. In: Hagerup, T., Katajainen, J. (eds.) SWAT 2004. LNCS, vol. 3111, pp. 199–211. Springer, Heidelberg (2004)
Gatto, M., Jacob, R., Peeters, L., Schöbel, A.: The computational complexity of delay management. In: Kratsch, D. (ed.) WG 2005. LNCS, vol. 3787, pp. 227–238. Springer, Heidelberg (2005)
Ginkel, A., Schöbel, A.: The bicriteria delay management problem. Transportation Science 41, 527–538 (2007)
Schöbel, A.: Integer programming approaches for solving the delay management problem. In: Geraets, F., Kroon, L.G., Schoebel, A., Wagner, D., Zaroliagis, C.D. (eds.) Railway Optimization 2004. LNCS, vol. 4359, pp. 145–170. Springer, Heidelberg (2007)
Meester, L.E., Muns, S.: Stochastic delay propagation in railway networks and phase-type distributions. Transportation Research Part B 41, 218–230 (2007)
Anderegg, L., Penna, P., Widmayer, P.: Online train disposition: to wait or not to wait? ATMOS 2002. In: ICALP 2002 Satellite Workshop on Algorithmic Methods and Models for Optimization of Railways, Electronic Notes in Theoretical Computer Science, vol. 66 (2002)
Müller-Hannemann, M., Schnee, M.: Paying less for train connections with MOTIS. In: Kroon, L.G., Möhring, R.H. (eds.) 5th Workshop on Algorithmic Methods and Models for Optimization of Railways, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany (2006)
Gunkel, T., Müller-Hannemann, M., Schnee, M.: Improved search for night train connections. In: Liebchen, C., Ahuja, R.K., Mesa, J.A. (eds.) Proceedings of ATMOS 2007 - 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany (2007); Extended journal version appears in Networks
Disser, Y., Müller-Hannemann, M., Schnee, M.: Multi-criteria shortest paths in time-dependent train networks. In: McGeoch, C.C. (ed.) WEA 2008. LNCS, vol. 5038, pp. 347–361. Springer, Heidelberg (2008)
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Müller-Hannemann, M., Schnee, M. (2009). Efficient Timetable Information in the Presence of Delays. In: Ahuja, R.K., Möhring, R.H., Zaroliagis, C.D. (eds) Robust and Online Large-Scale Optimization. Lecture Notes in Computer Science, vol 5868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05465-5_10
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DOI: https://doi.org/10.1007/978-3-642-05465-5_10
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