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MODELLING AND SOLVING THE TRAIN STOP DEPLOYMENT PLANNING PROBLEM

机译:建模和解决列车停止部署规划问题

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When an accident occurs on a railway line, it results in every succeeding train stopped at appropriate locations. It is a difficult task for train dispatchers to determine how to rearrange train operations since there are many constraints such that a local train should not block the track for succeeding express trains: such problems are termed as deployment planning of suspended trains or train stop deployment planning problem. In this paper, we modelled a problem as a Petri-net model and formalized it as an integer-programming problem. Based on the modelling and formalization, we introduced an algorithm to locate the suspended train operations appropriately. The algorithm comprises two different stages. At the initial stage, it tries to find an optimized deployment. If the first attempt failed to find a feasible solution, the algorithm alleviates such a constraint that the train must stop at a station provided with a platform. Then, the algorithm tries to find a solution of the alleviated problem at the second stage. As a result, the algorithm is able to find a substantial deployment of train stops. Several numerical experiments with available data have proved that the algorithm works effectively to find a practical solution to the problem.
机译:当在铁路线上发生事故时,它会导致每个后续火车停在适当的位置。培训调度员是一种艰巨的任务,以确定如何重新排列火车操作,因为有许多限制,使得当地列车不应阻止成功的快速列车的轨道:这些问题被称为暂停列车或火车停止部署计划的部署规划问题。在本文中,我们将问题建模为Petri-Net模型,并将其正式化为整数编程问题。基于建模和正式化,我们介绍了一种算法,适当地定位暂停的列车操作。该算法包括两个不同的阶段。在初始阶段,它试图找到优化的部署。如果第一次尝试未能找到可行的解决方案,则该算法减轻了这种约束,其中列车必须在提供平台的电台停止。然后,算法试图在第二阶段找到缓解问题的解决方案。结果,该算法能够找到大量的列车停止部署。有几个具有可用数据的数值实验证明了该算法有效地工作,以找到问题的实用解决方案。

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