One of the primary challenges of re-planning in high-speed urban railways is the randomness of disruptive events. In this study, an integrated disturbance recovery model presented in which short-turn and stop-skip service operations are optimized together to minimize the average of passengers’ waiting times. This study develops a discrete-event simulation model that employs a variable neighborhood search algorithm to maintain the service level under infrastructure elements’ unavailability. Due to the unpredictable nature of the incidents, the uncertainty associated with obstruction duration is experimentally analyzed through probabilistic scenarios. The computational experiments are conducted on some test cases of the Tehran Metropolitan Network, and the benefits of the combined control strategy are justified. The outcomes validate the superior performance of the proposed simulation-optimization method over existing state-of-the-art methods. The optimal solutions provide urban rail companies with robust decision options where the maximum recoverability resulting from rescheduled services are expected. The integrated control policy result can also support the analysis of secondary train delay and timetable deviations. The computational results afford practical insights by showing the strong potential to improve the system's responsiveness by minimizing the random disturbances’ cascading effects.

高速城市铁路重新规划的主要挑战之一是破坏性事件的随机性。在这项研究中，提出了一个综合的骚扰恢复模型，在该模型中，一起优化了短途转机和急停服务操作，以最大程度地减少乘客的平均等候时间。这项研究开发了一个离散事件仿真模型，该模型采用可变邻域搜索算法来在基础架构元素不可用的情况下维持服务水平。由于事件的不可预测性，因此通过概率方案对与阻塞持续时间相关的不确定性进行了实验分析。在德黑兰都会网络的一些测试案例上进行了计算实验，并证明了组合控制策略的好处。结果证明了所提出的仿真优化方法优于现有的最新方法的性能。最佳解决方案为城市轨道交通公司提供了可靠的决策选择，这些服务可以预期重新安排的服务带来最大的可恢复性。综合的控制策略结果还可以支持对次要列车延误和时间表偏差的分析。通过显示出通过最大程度地减小随机干扰的级联效应来提高系统响应能力的强大潜力，计算结果提供了实用的见识。综合的控制策略结果还可以支持对次要列车延误和时间表偏差的分析。通过显示出通过最大程度地减小随机干扰的级联效应来提高系统响应能力的强大潜力，计算结果提供了实用的见识。综合的控制策略结果还可以支持对次要列车延误和时间表偏差的分析。通过显示出通过最大程度地减小随机干扰的级联效应来提高系统响应能力的强大潜力，计算结果提供了实用的见识。