Abstract
We propose an efficient method that obtains train timetables. It solves conflicts among trains by assigning priorities for each track section of their journey. The heuristic used to determine the priority for each train, takes into account the objective function of the problem. With this method, we try to explore different regions of the same search space as soon as possible so that the final user obtains a feasible solution in a reasonable computation time.
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Cordeau, J., Toth, P., Vigo, D.: A survey of optimization models for train routing and scheduling. Transportation Science 32, 380–446 (1998)
Lova, A., Tormos, P., Barber, F., Ingolotti, L., Salido, M.A., Abril, M.: Intelligent Train Scheduling on a High-Loaded Railway Network. In: ATMOS 2004: Algorithmic Methods and Models for Optimization of Railways. LNCS, Springer Verlag, Heidelberg (2005) (to appear)
Nachtigall, K., Voget, S.: Minimizing waiting times in integrated fixed interval timetables by upgrading railway tracks 103, 610–627 (1997)
Schrijver, A., Steenbeek, A.: Timetable construction for railned. Technical Report, CWI, Amsterdam, The Netherlands (in Dutch) (1994)
Schirmer, A., Riesenberg, S.: Parameterized heuristics for project scheduling-Biased random sampling methods. Technical Report 456. Institute fr Betriebswirtschaftslehre der UNIVERSITT KIEL (1997)
Serafini, P., Ukovich, W.: A mathematical model for periodic scheduling problems. SIAM Journal on Discrete Mathematics 2(4), 550–581 (1989)
de Oliveira, S.E.: Solving Single-Track Railway Scheduling Problem Using Constraint Programming. Phd Thesis. Univ. of Leeds, School of Computing (2001)
Tormos, P., Lova, A.: A Competitive Heuristic Solution Technique For Resource-Constrained Project Scheduling. Annals Of Operations Research 102, 65–81 (2001)
Walker, C., Snowdon, J., Ryan, D.: Simultaneous disruption recovery of a train timetable and crew roster in real time. Comput. Oper. Res. 32(8), 2077–2094 (2005)
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Ingolotti, L., Barber, F., Tormos, P., Lova, A., Salido, M.A., Abril, M. (2006). A Scheduling Order-Based Method to Solve Timetabling Problems. In: MarÃn, R., OnaindÃa, E., BugarÃn, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_6
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DOI: https://doi.org/10.1007/11881216_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45914-9
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