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16173
Mathematical Rescheduling Models for Railway Services
Abstract:
This paper presents the review of past studies concerning mathematical models for rescheduling passenger railway services, as part of delay management in the occurrence of railway disruption. Many past mathematical models highlighted were aimed at minimizing the service delays experienced by passengers during service disruptions. Integer programming (IP) and mixed-integer programming (MIP) models are critically discussed, focusing on the model approach, decision variables, sets and parameters. Some of them have been tested on real-life data of railway companies worldwide, while a few have been validated on fictive data. Based on selected literatures on train rescheduling, this paper is able to assist researchers in the model formulation by providing comprehensive analyses towards the model building. These analyses would be able to help in the development of new approaches in rescheduling strategies or perhaps to enhance the existing rescheduling models and make them more powerful or more applicable with shorter computing time.
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References:


[1] Z. Alwadood, et al., "A review on quantitative models in railway rescheduling " International Journal of Scientific and Engineering Research, vol. 3, 2012, pp. 1-7.
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[7] P. A. Afonso, "Railway traffic management," Dissertation MSc, Universidade Tecnica de Lisboa, 2008.
[8] X. Zhou and M. Zhong, "Single-track train timetabling with guaranteed optimality: Branch-and-bound algorithms with enhanced lower bounds," Transportation Research Part B, vol. 41, 2007, pp. 320-341.
[9] J. Tornquist and J. Persson, "N-tracked railway traffic rescheduling during disturbances," Transportation Research Part B, vol. 41, 2007, pp. 342-362.
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