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Modelling and Solving a Train Path Assignment Model with Traffic Day Restriction

机译:用交通天限制建模和解决火车路径分配模型

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The German Railway Company (DB Netz) schedules freight trains by connecting pre-constructed slots to a full train path. We consider this problem with special attention to traffic day restrictions and model it by a binary linear decision model. For each train request a train path has to be constructed from a set of pre-defined path parts within a time-space network. Those train requests should be realized only at certain days of the week. Each customer request has a specific traffic day pattern, which is a difficult challenge for the allocation process. Infrastructure capacity managers intend to achieve an efficient utilization of the capacity, whereas customers are interested in homogeneous train paths, i.e. they want the same traffic path connection for all requested traffic days. We discuss those partly contradictory requirements within the context of our binary linear decision model. The problem is solved by using column generation within a branch and price approach. We give some modeling and implementation details and present computational results from real world instances.
机译:德国铁路公司(DB Netz)通过将预先构造的插槽连接到全部列车路径来安排货运列车。我们认为这一问题特别注意了通过二进制线性决策模型对交通日限制和模型。对于每个列车,请求火车路径必须从时空网络内的一组预定义路径部分构成。这些火车请求应仅在一周的某些日子中实现。每个客户请求都有一个特定的交通天模式,这是分配过程的艰难挑战。基础设施能力管理人员打算实现高效的能力利用,而客户对同类列车路径感兴趣,即它们希望所有所要求的交通天的交通路径连接相同。我们在我们的二进制线性决策模型的背景下讨论部分矛盾的要求。通过在分支机构内使用列生成来解决问题。我们提供一些建模和实施细节,并呈现来自现实世界实例的计算结果。

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