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针对跨境班列常态化运输组织中，沿线小批量、高附加值货物因等待时间长、站点覆盖不足等而引发的滞留率高、时效性差等问题，探索并提出一种“择站停”的跨境班列运输组织模式。该模式将货物延迟风险成本纳入跨境班列停站方案优化体系，以列车运力、货物需求、停站时间等为约束条件，以企业运行成本和货物延迟风险成本最小化为目标，构建多目标优化模型。采用带精英策略的快速非支配排序遗传算法（NSGA-Ⅱ）对模型进行求解，以某跨境列车通道为例开展模拟分析，最终得到Pareto最优解集。结果显示，最上端解总成本最低，较最下端解降低38.43%；最下端解可使延迟风险成本减少26.25%，且多服务3.65%的沿途集装箱货物，可为决策者提供多种合理停站方案。
Abstract：In response to the problems of long waiting times and insufficient coverage of small-batch, highvalue goods along the cross-border train routes during regular transportation organization, which have led to high detention rates and poor timeliness, a " selective stopping" cross-border train transportation organization model is explored and proposed. This model incorporates the risk cost of goods delay into the optimization system of cross-border train stop schemes, with train capacity, goods demand, and stop time as constraints, and aims to minimize the enterprise operation cost and the risk cost of goods delay, thereby establishing a multiobjective optimization model. The model is solved using the fast non-dominated sorting genetic algorithm(NSGA-Ⅱ) with an elite strategy. A simulation analysis is conducted using a certain cross-border train channel as an example, and the Pareto optimal solution set is ultimately obtained. The results show that the top solution has the lowest total cost, reducing it by 38.43% compared to the bottom solution; while the bottom solution can reduce the risk cost of delay by 26.25% and serve 3.65% more container goods along the route, providing decision-makers with multiple reasonable stop schemes.
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基本信息:
DOI：10.13291/j.cnki.djdxac.2026.04.002
中图分类号:U294.1
引用信息:
[1]段力伟,陈颖.考虑高附加值货物延迟风险的跨境班列停站方案优化模型[J].大连交通大学学报().DOI:10.13291/j.cnki.djdxac.2026.04.002.
基金信息:
教育部人文社会科学研究项目(18XJCZH001)
2026-08-17
2026-08-17
2026-08-17