Optimizing trains movement on a railway network
Optimizing trains movement on a railway network
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DOI：
10.1016/j.omega.2011.12.001
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发表时间：
2012-10
影响因子：
6.9
通讯作者：
Lixing Yang;Keping Li;Ziyou Gao;Xiang Li
中科院分区：
文献类型：
--
作者：
Lixing Yang;Keping Li;Ziyou Gao;Xiang Li
针对铁路网络中重要的列车运行问题，研究了考虑运行相互作用的最佳列车运行数学模型。在预先确定路线和穿越顺序的情况下，在滑行控制方法的基础上，明确以优化能耗和行程时间为目标。为了降低计算难度，提出了基于仿真的方法，利用所涉及列车的特定性能来计算能耗和穿越时间。设计了一种与仿真相结合的遗传算法来寻求路网上的近似最优滑行控制策略。数值实验验证了该模型和算法的有效性。
Focusing on solving critically important train operation problems on a railway network, this paper investigates a mathematical model for finding optimal trains movements under the consideration of operational interactions. With the predetermined routing and traversing order plan, we explicitly consider the optimization of energy consumption and travel time as the objective based on the coasting control methods. To reduce the calculation difficulties, simulation-based methodologies are proposed to compute the energy consumption and traversing time through using specific performance of the involved trains. A genetic algorithm integrated with simulation is designed to seek the approximate optimal coasting control strategies on the railway network. The numerical experiments investigate the effectiveness of the proposed model and algorithm.