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TRAIN PLANNING ON A SINGLE TRACK SHARED-USE PASSENGER AND FREIGHT CORRIDOR WITH DEMAND CONSIDERATIONS

机译:用需求考虑一下单轨共用乘客和货运走廊的列车规划

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While the train scheduling problem has been investigated for an extended period of time, shared passenger and freight corridor planning and capacity analysis have gained growing attention recently, due largely to the emergence of higher speed rail lines in the US. This study proposes an integrated, hypergraph-based approach that considers constraints from infrastructure supply as well as passenger demand in solving the train scheduling problem on a passenger-freight shared rail corridor. Two approaches are proposed to capture different policies which could be implemented in real world. The first, sequential approach considers passenger train priority in schedule planning, and then develop freight trains schedules given the fixed schedule of passenger trains. In the second approach, we minimize the total costs of freight and passenger trains simultaneously. Our results indicates that the marginal cost increase for freight railroad due to considering passenger train priority is larger than the associated marginal cost reduction for passengers. We also find that using high resolution time units in the mathematical formulation does not significantly improve the solution, meanwhile causing substantial increase in computation time. Therefore we suggest choosing coarser a time unit to first generate an approximate solution, which is subsequently used to reduce the search space for feasible train schedules using a finer-grained time unit. We show that this considerably saves computational effort.
机译:虽然在长时间调查了列车调度问题,但共享乘客和货运走廊规划和能力分析最近在很大程度上由于美国更高速度铁路线的出现而受到影响。本研究提出了一种基于乘客提供的集成,超图的方法,并在解决乘客共用轨道走廊上的列车调度问题方面的限制。建议两种方法捕获可以在现实世界中实施的不同政策。第一个,顺序方法考虑了在计划规划中的旅客列车优先考虑,然后在鉴于客运列车的固定时间表,开发货运列车计划。在第二种方法中,我们同时最大限度地减少货运和旅客列车的总成本。我们的结果表明,由于考虑旅客列车优先级的货运地铁的边际成本增加大于乘客的相关边际成本减少。我们还发现,在数学制剂中使用高分辨率时间单位并没有显着改善解决方案,同时导致计算时间大幅增加。因此,我们建议选择较粗糙的时间单元以首先生成近似解决方案,随后使用更精细的时间单元来减少可行的列车计划的搜索空间。我们表明,这大大节省了计算努力。

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