ABSTRACT

Urban rail transit often has high sensitivity against random disruptions. Hence regularity of the rail services should be maintained to prevent adverse impacts. This study focused on an objected-oriented discrete-event simulation platform to generate an efficient operation plan for such networks in the cases of degraded modes. The main goal is to generate an operation plan by taking into account the headway regularity index for a two-direction loop urban rail line under temporary line blockage disruptions. Accordingly, an optimized injection-withdrawal schedule proposed using a simulation-optimization approach enriched with Iterated Local Search heuristic method. The proposed method has the capability of quantifying the stochastic system resiliency. Real experiments derived from the 2nd line of the Karaj underground railway. Results revealed an improvement of 5.6% for the regularity index and 4.7% for the inbound and outbound routes, respectively.

摘要

城市轨道交通通常对随机中断具有很高的敏感性。因此，应保持铁路服务的规律性，以防止不利影响。本研究侧重于面向对象的离散事件仿真平台，以在退化模式的情况下为此类网络生成有效的操作计划。主要目标是在临时线路阻塞中断情况下，通过考虑双向循环城市轨道线的行车规律性指标来生成运营计划。因此，使用富含迭代局部搜索启发式方法的模拟优化方法提出了优化的注入-退出计划。所提出的方法具有量化随机系统弹性的能力。来自卡拉季地铁二号线的真实实验。