An Adjustable Robust Optimization Approach for Periodic Timetabling
In this paper, we consider the Robust Periodic Timetabling Problem (RPTP), the problem of designing an adjustable robust periodic timetable. We develop a solution method for a parametrized class of uncertainty regions. This class relates closely to uncertainty regions known in the robust optimization literature, and naturally defines a metric for the robustness of the timetable. The proposed solution method combines a linear decision rule with well-known reformulation techniques and cutting-plane methods. We show that the RPTP can be solved for practical-sized instances by applying the solution method to practical cases of Netherlands Railways (NS). In particular, we show that the trade-off between the efficiency and robustness of a timetable can be analyzed using our solution method.
|Keywords||Robust Optimization, Periodic Timetabling, Periodic Event Scheduling, Adjustable Robustness|
|Series||Econometric Institute Research Papers|
Polinder, G.-J, Breugem, T, Dollevoet, T.A.B, & Maróti, G. (2019). An Adjustable Robust Optimization Approach for Periodic Timetabling (No. EI2019-01). Econometric Institute Research Papers. Retrieved from http://hdl.handle.net/1765/114964