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A Modified Mixed Integer Programming Model for Train Rescheduling

Zuraida Alwadood1, Adibah Shuib1, and Norlida Abdul Hamid2
1.Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Malaysia
2.Arshad Ayub Graduate Business School, Universiti Teknologi MARA Malaysia
Abstract—Mathematical optimization techniques have been widely used in modeling and solving rail transportation problem. In dealing with conflicting trains during service disruptions, rescheduling train aims to produce an adjusted periodic timetable for the affected trains using available resources while satisfying a set of operational constraints. In this paper, we present some modifications on a mixed integer programming (MIP) model with the objective of minimizing the total service delays when service disruptions occur. Based on a selected reference model, the sets, parameters and the decision variables of the modified model are thoroughly discussed in this paper. Two problem cases with small sample data were created to test the model and interpret the reschedule results. The solutions that have been generated successfully provide the new provisional timetable, indicating the total delay experienced by trains.

Index Terms—mathematical optimization model, mixed integer programming, service delays, railway rescheduling

Cite: Zuraida Alwadood, Adibah Shuib, and Norlida Abdul Hamid, "A Modified Mixed Integer Programming Model for Train Rescheduling," Journal of Industrial and Intelligent Information, Vol. 3, No. 2, pp. 102-109, June 2015. doi: 10.12720/jiii.3.2.102-109
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