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A Fuzzy Approach for Evaluation of Reconfiguration Actions After Unwanted Events in the Railway System

机译:铁路系统中不需要事件后重新配置动作评估的模糊方法

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Due to infrastructure constraints in railway transportation system, each disruption can have a very important influence on the system operation. Sometimes it is possible to affect the disrupted traffic by dispatching actions. Traffic reconfiguration may lead to a quick system recovery, but on the other hand it may lead also to cascade failures and safety infringement. The examination of a recovery strategy is hard to perform due to parameters that should be taken into account. The structure of timetable is a key factor, that has effect on the transportation system robustness. A large number of possible cases of train scheduling in the timetable makes it currently impossible to deal with this factor. Therefore, the goal of the paper is to show a method which supports the dispatching decision making process. The paper starts with a literature review, that includes the decision making process and the system recovery. Afterwards, important indicators of correct train traffic were identified, such as: number of delayed trains, average train delay, average stop loses and the probability of further disruptions. Due to the challenge to combine the indicators, the fuzzy logic was chosen to build an evaluation method. The membership functions and the decision rules were established together with experts from the railway industry. A case study was performed to show the usability of the method. Finally, a discussion about the further research about the analyzed topic was carried out.
机译:由于铁路运输系统中的基础设施限制,每个中断可能对系统操作产生非常重要的影响。有时可以通过调度操作来影响破坏的流量。交通重新配置可能导致快速系统恢复,但另一方面,它可能导致级联故障和安全侵权。由于应考虑到应考虑的参数,难以执行恢复策略的审查。时间表的结构是一个关键因素,对运输系统的鲁棒性有影响。在时间表中大量可能的列车调度情况使其无法处理此因素。因此,该论文的目标是显示一种支持调度决策过程的方法。本文从文献综述开始,其中包括决策过程和系统恢复。之后,确定了正确的列车流量的重要指标,例如:延迟列车数量,平均列车延迟,平均停止丢失和进一步中断的可能性。由于结合指标的挑战,选择模糊逻辑以构建评估方法。会员职能和决定规则与铁路行业专家建立在一起。进行案例研究以显示方法的可用性。最后,执行了关于分析主题进一步研究的讨论。

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