Repair Strategies of an Urban Rail Transit Network Based on Optimal Resilience

Abstract

Determining optimal repair sequences of failed stations has great significance to improve its operations under disturbances. Considering the URT stations' failure severities, a repair strategy which is called the model repair strategy is proposed to determine the repair sequences of failed stations under disturbances. The model repair strategy aims at minimizing a URT network's performance loss and maximizing repair efficiency, and it is constrained by the amount of repair resource and repair capacity. The model repair strategy is solved by the non-dominated sorting genetic algorithm. Finally, the repair strategies for the Chengdu subway network under random and deliberate attacks are calculated by the model and staci repair strategies. The results indicate that deliberate attacks are more harmful to the Chengdu subway network than random attacks. Compared with the static repair strategy, the model repair strategy has greater repair efficiency. It can effectively reduce a URT network's performance loss caused by the disturbances. The operators are encouraged to apply the model repair strategy to determine the repair sequences of failed stations.