城市轨道交通区间失效修复策略仿真研究

Simulation of Repair Strategy of Urban Rail Transit Link`s Failure

为降低区间失效对城市轨道交通(URT)运营的影响,分别以随机及蓄意攻击的方式模拟自然灾害及人为破坏对URT区间的破坏,以最大化全日出行客运量、最小化修复完成后乘客出行拥挤度为目标,考虑修复能力、出行需求等约束条件,构建了URT区间失效修复模型,并以系统弹性损失为指标量化修复效果,结合快速非支配排序遗传算法对该模型进行了求解。结果表明:修复失效区间时,客运量最优目标倾向于修复最重要区间,而拥挤度最优目标侧重于修复不同线路的失效区间;相较于平均修复及偏好修复策略,所建立的区间失效修复模型能达到更优的修复效果。

In order to reduce the influence of the link’s failure on the operation of the Urban Rail Transit(URT)network,the damages of the URT link caused by natural disasters and terrorist attacks were simulated by random and intentional attacks in this paper.The URT link’s repair strategy model was established to maximize the daily passenger volume and minimize the link’s crowd after the repair was completed.The model’s constraints include repairability,travel demand,et al.The resilience loss triangle was applied to measure the effectiveness of repair result and the repair strategy model was solved by NSGA-II algorithm.The results show that when repairing the failure links,the repair strategies with maximizing passenger volume tend to repair the most important link,while the repair strategies with minimizing link’s crowd emphasize repairing the attacked links of different lines.Compared with the average repair strategy and preference repair strategy,the repair strategy proposed by the model established in this paper has more optimal repair results.