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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,high-value 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 multi-objective 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,2026,47(04):10-18.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