Recoverable Robustness in Rapid Transit Network Design

Abstract

Line service large disruptions are commonplace in rapid transit systems with large deviations from planned operations. Such large disruptions include infrastructure blockage and special social events. A robust network design may be too expensive to be operated in a daily basis because if there are no disruptions, a low utilization of the infrastructure may occur. Therefore, a less robust approach is proposed accounting for possible disruptions. We propose a recoverable robust network design as an alternative to robust design in order to reduce the effect of disruptions and the cost of the recovery process. The recoverable robust design is defined considering several disrupted scenarios with their associated probabilities. To demonstrate that the developed model reduces recovery and robustness costs some computational experiments are presented.

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