地铁线网性能分析及最小化韧性损失恢复策略研究

为更好地分析地铁线网性能,并优化其在扰动状态下的恢复策略,采用基于复杂网络的地铁线网性能分析方法,并提出最小化韧性损失恢复策略。鉴于地铁线网复杂网络特征,采用Space L拓扑方法处理地铁线网,并运用复杂网络理论计算线网内各站点的基本参数,包括线网的度、平均路径和线网效率等。其次根据韧性理论以线网效率作为性能指标求解各站点韧性损失,采用遗传算法求解站点恢复序列。最后,以福州市为例,分析其地铁线网的复杂网络特征并进行扰动仿真,比较在多站点失效情况下的最小化韧性损失恢复策略与随机恢复策略的恢复效果。研究结果表明：在多个地铁站点受到扰动失效,采用最小化韧性损失恢复策略能够令地铁线网性能在恢复期间仍处于较优水平,恢复效果明显优于具有不确定性的随机恢复策略。

Performance analysis of metro network and research on minimizing resilience loss recovery strategy

In order to better analyze the performance of the metro network and optimize its recovery strategy under the disturbance state, a complex network-based metro network performance analysis method is used and a recovery strategy to minimize the resilience loss is proposed. In view of the complex network characteristics of the metro network, the Space L topology method is used to deal with the metro network, and the complex network theory is applied to calculate the basic parameters of each station in the network, including the degree of the network, the average path and the network efficiency, etc. Next, the network efficiency is used as the performance index to solve the resilience loss of each station according to the resilience theory, and the station recovery sequence is determined by combining with genetic algorithm. Finally, taking Fuzhou city as an example, the complex network characteristics of its metro network are analyzed and perturbation simulations are performed to compare the recovery effects of the minimized resilience loss recovery strategy with those of the random recovery strategy in the case of multiple station failures. The results show that the minimized resilience loss recovery strategy can keep the performance of the metro network at a better level during the recovery period when multiple metro stations are subject to perturbation failure, and the recovery effect is significantly better than the random recovery strategy with uncertainty.