Abstract
The delay management problem deals with reactions in case of delays in public transportation. More specifically, the aim is to decide if connecting vehicles should wait for delayed feeder vehicles or if it is better to depart on time. As objective we consider the convenience over all customers, expressed as the average delay of a customer when arriving at his or her destination.
We present path-based and activity-based integer programming models for the delay management problem and show the equivalence of these formulations. Based on these, we present a simplification of the (cubic) activity-based model which results in an integer linear program. We identify cases in which this linearization is correct, namely if the so-called never-meet property holds. We analyze this property using real-world railway data. Finally, we show how to find an optimal solution in linear time if the never-meet property holds.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ackermann, T.: Die Bewertung der Pünktlichkeit als Qualitätsparameter im Schienenpersonennahverkehr auf Basis der direkten Nutzenmessung. PhD thesis, Universität Stuttgart (1999)
Anderegg, L., Penna, P., Widmayer, P.: Online train disposition: to wait or not to wait? Electronic Notes in Theoretical Computer Science, 66(6) (2002)
Bissantz, N., Güttler, S., Jacobs, J., Kurby, S., Schaer, T., Schöbel, A., Scholl, S.: DisKon - Disposition und Konfliktlösungs-management für die beste Bahn (in German). Eisenbahntechnische Rundschau (ETR) 45(12), 809–821 (2005)
Carey, M.: Ex ante heuristic measures of schedule reliability. Transportation Research 53B(3), 473–494 (1999)
Elmaghraby, S.E.: Activity Networks. Wiley Interscience Publication, Chichester (1977)
Engelhardt-Funke, O.: Stochastische Modellierung und Simulation von Verspätungen in Verkehrsnetzen für die Anwendung der Fahrplanoptimierung. PhD thesis, Univerität Clausthal (2002)
Engelhardt-Funke, O., Kolonko, M.: Simulating delays for realistic timetable-optimization. In: Operations Research Proceedings 2001, pp. 9–15. Springer, Heidelberg (2001)
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, Springer, Heidelberg (2005)
Gatto, M., Jacob, R., Peeters, L., Widmayer, P.: On-line delay management on a single train line (presented at ATMOS 2004). In: Algorithmic Methods for Railway Optimization. LNCS, Springer, Heidelberg, 2006 (to appear)
Ginkel, A., Schöbel, A.: The bicriterial delay management problem. Technical report, Universität Kaiserslautern (2002)
Giovanni, L., Heilporn, G., Labbé, M.: Optimization models for the delay management problem in public transportation. European Journal of Operational Research, 2006 (to appear)
Goverde, R.M.P.: The max-plus algebra approach to railway timetable design. In: Computers in Railways VI: Proceedings of the 6th international conference on computer aided design, manufacture and operations in the railway and other advanced mass transit systems, Lisbon, 1998, pp. 339–350 (1998)
Kliewer, N.: Mathematische Optimierung zur Unterstützung kundenorientierter Disposition im Schienenverkehr. Master’s thesis, Universität Paderborn (2000)
Nachtigall, K.: Periodic Network Optimization and Fixed Interval Timetables. Deutsches Zentrum für Luft– und Raumfahrt, Institut für Flugführung, Braunschweig, Habilitationsschrift (1998)
Nemhauser, G.L., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley, Chichester (1988)
Peeters, L.: Cyclic Railway Timetabling Optimization. PhD thesis, ERIM, Rotterdam School of Management (2002)
De Schutter, B., de Vries, R., De Moor, B.: On max-algebraic models for transportation networks. In: Proceedings of the International Workshop on Discrete Event Systems, Cagliari, Italy, pp. 457–462 (1998)
Schöbel, A.: A model for the delay management problem based on mixed-integer programming. Electronic Notes in Theoretical Computer Science 50(1) (2001)
Schöbel, A.: Customer-oriented optimization in public transportation. In: Applied Optimization, Springer, New York, 2006 (to appear)
Scholl, S.: Anschlusssicherung bei Verspätungen im öPNV. Master’s thesis, Universität Kaiserslautern (2001)
De Schutter, B., van den Boom, T.: Model predictive control for railway networks. In: Proceedings of the 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Como, Italy, pp. 105–110 (2001)
Suhl, L., Biederbick, C., Kliewer, N.: Design of customer-oriented dispatching support for railways. In: Voß, S., Daduna, J. (eds.) Computer-Aided Transit Scheduling. Lecture Notes in Economics and Mathematical systems, vol. 505, pp. 365–386. Springer, Heidelberg (2001)
Suhl, L., Mellouli, T.: Managing and preventing delays in railway traffic by simulation and optimization. In: Mathematical Methods on Optimization in Transportation Systems, pp. 3–16. Kluwer, Dordrecht (2001)
Suhl, L., Mellouli, T., Biederbick, C., Goecke, J.: Managing and preventing delays in railway traffic by simulation and optimization. In: Pursula, M., Niittymäki (eds.) Mathematical methods on Optimization in Transportation Systems, pp. 3–16. Kluwer, Dordrecht (2001)
van Egmond, R.J.: An algebraic approach for scheduling train movements. In: Proceedings of the 8th international conference on Computer-Aided Transit Scheduling, Berlin, 2000 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schöbel, A. (2007). Integer Programming Approaches for Solving the Delay Management Problem. In: Geraets, F., Kroon, L., Schoebel, A., Wagner, D., Zaroliagis, C.D. (eds) Algorithmic Methods for Railway Optimization. Lecture Notes in Computer Science, vol 4359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74247-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-540-74247-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74245-6
Online ISBN: 978-3-540-74247-0
eBook Packages: Computer ScienceComputer Science (R0)