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Train Operation Intervals Optimization Based on a Group Dynamics Model

机译:基于群体动力学模型的列车运行间隔优化

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Train operation interval is a most important parameter in the railway management work and train dispatching work. It also determines the capacity of the railway sections. In this paper, a train interval optimization model based on group dynamics theory is proposed. It takes the potential energy of the artificial potential field as the optimization object, which is defined with the train operation interval. And the train operation rules, especially the intervals between arrivals and departures, are designed as the constraints of the model. An immune clone algorithm is designed to solve the model. A computing case is presented, and we got the optimal intervals of trains on the timetable. The computing case proves the effectiveness of the approach. This paper presents a new method to design train intervals for timetable designers and dispatchers.
机译:列车运行间隔是铁路管理和列车调度工作中最重要的参数。它还决定了铁路路段的通行能力。提出了一种基于群动力学理论的列车区间优化模型。它以人工势场的势能为最优化对象,它由列车运行间隔定义。火车运行规则,特别是到达和离开之间的间隔,被设计为模型的约束。设计了一种免疫克隆算法来求解该模型。给出了一个计算案例,我们在时间表上获得了火车的最佳间隔。计算实例证明了该方法的有效性。本文提出了一种为时间表设计者和调度员设计列车间隔的新方法。

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